Undegraduate Module Handbook

MODULE HANDBOOK

BACHELOR OF INFORMATICS PROGRAM (BIP) DEPARTMENT OF INFORMATICS FACULTY OF INTELLIGENT ELECTRICAL AND INFORMATICS TECHNOLOGY

INSTITUT TEKNOLOGI SEPULUH NOPEMBER

DETERMINATION OF GRADUATED LEARNING OUTCOMES BACHELOR OF INFORMATICS PROGRAM (BIP) INSTITUT TEKNOLOGI SEPULUH NOPEMBER

The Program Learning Outcomes (PLO) of the Bachelor of Informatics (BIP) Program:

PLO 1 Able to design and develop applications by applying the principles of intelligent systems and computational science to produce applications in various fields.

PLO 2 Able to apply network architecture concepts and network-based computing principles with high performance and security

PLO 3 Able to design and develop software with good quality both technically and managerially using the principles of software engineering processes

PLO 4 Able to design, model, and develop applications using computer graphics and human and computer interaction principles

PLO 5 Able to solve computational problems and mathematical modeling through exact, numerical, and probabilistic approaches effectively and efficiently

PLO 6 Able to design and implement methods to manage data and information in various formats

PLO 7 Able to design and apply algorithms in programming to solve computational problems effectively and efficiently

PLO 8 Able to show attitude: religious, disciplined, responsible, upholding human values, mutual respect, and law-abiding in the life of society, nation and state based on Pancasila (The Five Principles) values

PLO 9 Able to work and communicate effectively both individually and in groups

PLO 10 Able to understand and apply science in the context of information technology-based entrepreneurship in his expertise based on scientific principles, procedures, and ethics to produce solutions, ideas, designs, or art criticisms to be able to compete at national and international levels

COURSE LIST OF BACHELOR PROGRAM

No Course Code

Course Name Credit

SEMESTER: 1 1 UG184911 Pancasila 2 2 UG184912 Bahasa Indonesia 2 3 KM184101 Math 1 3 4 SF184101 Physics 1 4 5 SK184101 Chemistry 3 6 IF184101 Basic Programming 4

Total Credits 18 SEMESTER: 2 1 UG184914 English 2 2 UG18490X Religion 2 3 UG184913 Kewarganegaraan 2 4 KM184201 Math 2 3 5 SF184202 Physics 2 3 6 IF184201 Digital System 3 7 IF184202 Data Structure 3

Total Credits 18 SEMESTER: 3 1 IF184301 Object Oriented Programming 3 2 IF184302 Linear Algebra 3 3 IF184303 Numerical Computation 3 4 IF184304 Discrete Mathematics 3 5 IF184305 Computer Organization 3 6 IW184301 Database System 4

Total Credits 19 SEMESTER: 4 1 IF184401 Design and Analysis Algorithms 4 2 IF184402 Operating System 4 3 IF184403 Artificial Intelligence 3 4 IF184404 Database Management 3 5 IF184405 Probability and Statistic 3 6 IF184406 Analysis and Design of Information Systems 3

Total Credits 20

No Course Code

Course Name Credit

SEMESTER: 5 1 IF184501 Software Design 3 2 IF184502 Computer Graphics 3 3 IF184503 Computational Intelligence 3 4 IF184504 Web Programming 3 5 IF184505 Computer Networks 4 6 IF184506 Software Project Management 3

Total Credits 19 SEMESTER: 6 1 IF184601 Human and Computer Interaction 3 2 IF184602 Network Programming 3 3 IF184603 Requirement Engineering 3 4 IF184604 Graph Theory and Automata 3 5 IF184605 Framework-based Programming 3 6 Elective Course 1 3

Total Credits 18 SEMESTER: 7 1 UG184915 Technopreneurship 2 2 IF184701 Information and Network Security 3 3 IF184702 Undergraduate Pre-Thesis 3 4 Elective Course 2 3 5 Elective Course 3 3 6 Elective Course 4 3

Total Credits 17 SEMESTER: 8 1 IF184801 Internship 2 2 IF184802 Undergraduate Thesis 4 3 UG184916 Scientific and Aplication Technology 3 4 Course for Specific Purpose 3 5 Elective Course 5 3

Total Credits 15

LIST OF ELECTIVE COURSES

No Course Code Course Name Credit

1 IF184901 Mobile Device Programming 3

2 IF184902 Algorithm Analysis Development 3

3 IF184903 Interface Programming 3

4 IF184911 Wireless Networking 3

5 IF184912 Internetworking Technology 3

6 IF184913 System And Network Security Design 3

7 IF184914 IoT Technology 3

8 IF184921 Modeling & Simulation 3

9 IF184922 Multivariate Data Analysis 3

10 IF184923 Operational Research 3

11 IF184931 Game Development Techniques 3

12 IF184932 Virtual and Augmented Reality 3

13 IF184933 Game System 3

14 IF184934 Computer Animation and 3D Modeling 3

15 IF184935 Smart Game 3

16 IF184941 Multimedia Network 3

17 IF184942 Cloud Computing 3

18 IF184943 Mobile Computing 3

19 IF184944 Distributed System 3

20 IF184945 Digital Forensic 3

21 IF184946 Grid and Parallel Computing 3

22 IF184947 Pervasive Computing and Sensor Network 3

23 IF184948 Data Compression 3

24 IF184951 Data Mining 3

25 IF184952 Digital Image Processing 3

26 IF184953 Biomedical Computing 3

27 IF184954 Robotics 3

28 IF184955 Information Retrieval 3

29 IF184956 Computer Vision 3

30 IF184957 Social Network Analysis 3

31 IF184958 Deep Learning 3

32 IF184961 Enterprise Systems 3

33 IF184962 Knowledge Engineering 3

34 IF184963 Systems Audit 3

35 IF184964 Information Technology Governance 3

36 IF184965 Distributed Databases 3

37 IF184966 Big Data 3

38 IF184967 Geographic Information System 3

39 IF184971 Software Architecture 3

40 IF184972 Software Quality Assurance 3

41 IF184973 Software Evolution 3

42 IF184974 Software Construction 3

Course: Pancasila (UG 184911) MATA KULIAH

COURSE

Nama Mata Kuliah Course Name

:Pancasila

Kode MK Course Code

: UG 184911

Kredit / Credits : 2 sks

Semester : I / II

DESKRIPSI MATA KULIAH Description of Course

Mata Kuliah Pancasila merupakan salah satu mata kuliah wajib umum/nasional. Dalam perkuliahan ini mahasiswa akan mendapatkan pengetahuan dan pengalaman belajar untuk meningkatkan pemahaman dan kesadaran tentang: rasa kebangsaan dan cinta tanah air melalui wawasan tentang Pancasila sehingga menjadi warganegara yang memiliki daya saing, serta berdisiplin tinggi dan berpartisifasi aktif dalam membangun kehidupan yang damai berdasarkan sistem nilai Pancasila. Setelah perkuliahan ini diharapkan mahasiswa mampu mewujudkan diri menjadi warga negara yang baik yang mampu mendukung bangsa dan negaranya. Warga negara yang cerdas, berkeadaban dan bertanggung jawab bagi kelangsungan hidup negara Indonesia dalam mengamalkan kemampuan ilmu pengetahun, teknologi dan seni yang dimilikinya.

This course provides knowledge of Pancasila, understand and examine experiences related to

application of Pancasila into human lives. This course uses a various range of teaching methods,

including classroom and practical learning, learning through community engagement, seminars,

interactive discussion and group works. It aims to equip students with capacities to understand

Pancasila from multi-perspectives: Pancasila within Indonesia historical context, Pancasila as

national ideology, Pancasila as national principle, Pancasila viewed from ethical and philosophical

contexts and Pancasila as the basis of science, technology and art development. This topic is also

designed to improve students’ ethical behaviour and personality as well as grow and build

nationalism values and sense of patriotism

CAPAIAN PEMBELAJARAN LULUSAN YANG DIBEBANKAN MATA KULIAH Learning Outcome

1. Berpartisipasi dalam pembangunan bangsa sebagai warga negara Indonesia yang memiliki rasa patriotisme, tanggung jawab yang tinggi terhadap bangsa dan menumbuhkan rasa bangga dan memiliki

2. Menghormati dan menghargai keragaman budaya, kepercayaan, agama, ide dan inovasi 3. Mematuhi peraturan hukum dan melakukan perilaku disipliner dalam kehidupan

bermasyarakat dan berbangsa

1. Participating to the nation development as Indonesia citizens who possess sense of

patriotism, high responsibility to the nation and develop sense of pride and belonging

2. Respecting and appreciating cultural, beliefs, religions, ideas and innovation diversities

3. Obeying law orders and performing disciplinary behavior within social and national life

CAPAIAN PEMBELAJARAN MATA KULIAH Course

Learning Outcome

1. Percaya kepada Tuhan, menaati perintah-Nya, mengembangkan dan melakukan sikap religius

2. Menghormati dan mengedepankan nilai-nilai humaniora dalam setiap perilaku dan tanggung jawabnya atas dasar agama, moralitas dan etika

3. Berkontribusi pada peningkatan kualitas masyarakat dan pembangunan kehidupan bangsa dan peradaban yang berlandaskan Pancasila

4. Bekerja sama dan mengembangkan kesadaran sosial serta kepedulian dan kepedulian masyarakat dan lingkungan

5. Bekerja sama untuk memaksimalkan potensi

1. Believing to God, obeying His orders, developing and performing religious attitude

2. Respecting and prioritizing humanities values within all of his/her conduct and responsible

duty on the basis of religion, morality and ethic

3. Contributing to improvement of quality community and national life and civilization

development on the basis of Pancasila

4. Cooperating and developing social awareness as well as community and environment care

and concern

5. Cooperating to maximize potency

POKOK BAHASAN Main Subject

• Urgensi Pendidikan Pancasila di Indonesia • Pancasila dalam Perspektif Sejarah Bangsa Indonesia • Pancasila sebagai Dasar Negara Republik Indonesia • Pancasila sebagai Filsafat dan Ideologi negara • Pancasila sebagai Sistem Etika serta implementasi sila-sila Pancasila • Pancasila sebagai Nilai Dasar Pengembangan Sains dan teknologi di Indonesia

• The urgency of Pancasila in higher education • Pancasila and Indonesia history • Pancasila as the Indonesia national principle and national ideology • Pancasila as philosophy system • Pancasila as ethic system • Pancasila as the foundation of science, technology and art development

PRASYARAT Prerequisites

-

PUSTAKA References

1. Bahar, Saafroedin (ed). 1992. Risalah Sidang Badan Penyelidik Usaha-Usaha Persiapan

Kemerdekaan Indonesia (BPUPKI): Panitia Persiapan Kemerdekaan Indonesia (PPKI) 29 Mei

– 19 Agustus 1945. Jakarta: Sekretariat Negara Republik Indonesia. 2. Bertens, Kees. 2004. Etika. Jakarta: Gramedia. 3. Friedman, Thomas. 2006. The World is Flat: Sejarah Ringkas Abad ke 21. Jakarta: Dian

Rakyat 4. Kattsof, Louis O. 1992. Pengantar Filsafat. Yogyakarta: Tiara Wacana. 5. Latif, Yudi. 2011. Negara Paripurna, Jakarta: PT. Gramedia Pustaka Utama. 6. Latif, Yudi. 2018. Wawasan Pancasila: Bintang Penuntun Untuk Pembudayaan. Jakarta:

Mizan. 7. Magnis-Suseno, Franz. 2006. Etika Politik: Prinsip-prinsip Moral Dasar Kenegaraan

Modern. Jakarta: Penerbit Gramedia Pustaka Utama. 8. Schwab, Klaus. 2016. The Fourth Industrial Revolution. New York: Crown Business. 9. Sukarno. 2001. Tjamkan Pancasila Dasar Falsafah Negara. Jakarta: Panitia Nasional

Peringatan Lahirnya Pancasila 1 Juni 1945 – 1 Juni 1964. 10. Soedarso. 2014. Filsafat Pancasila Identitas Indonesia. Surabaya: Pustaka Radja.

Module name Indonesian Module level Undergradute Code UG184912 Course (if applicable)

Indonesian

Semester Second Semester Person responsible for the module

ITS Indonesian Lecturer Team

Lecturer ITS Indonesian Lecturer Team Language Indonesian Relation to curriculum

Undergradute degree program, mandatory, 2nd semester.

Type of teaching, contact hours

Lectures, <60 students

Workload 1. Lectures : 2 x 50 = 100 minutes per week. 2. Exercises and Assignments : 2 x 60 = 120 minutes (2 hours) per week. 3. Private learning : 2 x 60 = 120 minutes (2 hours) per week.

Credit points 2 credit points (sks)

Requirements according to the examination regulations

A student must have attended at least 75% of the lectures to sit in the exams.

Mandatory prerequisites

-

Learning outcomes and their corresponding PLOs

(S8) Internalizing academic values, norms and ethics (KU9) Documenting, storing, securing, and recovering data to ensure validity and prevent plagiarism. (KU1) Able to apply logical, critical, systematic, and innovative thinking in the context of developing or implementing science and technology that pays attention to and applies humanities values in accordance with their field of expertise.

PLO8, PLO9 PLO8, PLO9 PLO8, PLO9

Content The Indonesian language course is one of the general / national compulsory courses. Students will explore lecture materials including: (a) academic ethics; (b) referencing techniques; (c) the systematics of KTI and the formulation of Indonesian used in KTI by taking into account the rules of grammar, PUEBI, and KBBI; (d) structuring KTI logically, critically, systematically, and innovatively by using good and correct Indonesian; (e) effective presentation techniques. The material studied is useful in

compiling scientific papers in the form of lecture assignments, research reports, and scientific papers that are competed.

Study and examination requirements and forms of examination

• In-class exercises (20%) • Assignment 1, 2, 3 (25%) • Mid-term examination (25%) • Final examination (30%)

Media employed

LCD, whiteboard, websites (myITS Classroom), zoom.

Reading list Main: 1. Alwi, Hasan, 2007, Tata Bahasa Baku Bahasa Indonesia, Edisi Ketiga, Balai Pustaka: Jakarta. 2. Dirjen Pembelajaran dan Kemahasiswaan Kemenristekdikti, Bahasa Indonesia untuk Perguruan Tinggi, 2016, Jakarta, Dirjen Belmawa. 3. Kamus Besar Bahasa Indonesia (daring atau luring), Kemdikbud RI, https://kbbi.kemdikbud.go.id/ 4. Pedoman Umum Ejaan Bahasa Indonesia (PUEBI), 2016, http://badanbahasa.kemdikbud.go.id/lamanbahasa/sites/default/files/PUEBI.pdf

Supporting:

1. Pratapa, Suminar, 2018, Etika ilmiah, Hak cipta, dan Plagiarisme. 2. Rosmawaty, 2017, Menulis Karya Ilmiah, 2017. 3. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper,

Bates Collage, http://jrtdd.com/wp-content/uploads/2018/05/Howto-Write-a-Paper-in-Scientific-Journal-Style-and-Format.pdf

Module name CHEMISTRY 1 Module level Undergradute Code SK184101 Course (if applicable) Chemistry 1 Semester First/Second Semester Person responsible for the module

Zjahra Vianita Nugraheni, S.Si., M.Si.

Lecturer ITS Chemistry Lecturer Team Language Bahasa Indonesia Relation to curriculum Undergradute degree program, mandatory, 1st/2nd semester. Type of teaching, contact hours


Workload 1. Lectures : 3 x 50 = 150 minutes per week. 2. Exercises and Assignments : 2 x 60 = 120 minutes (2 hours) per

week. 3. Private learning : 2 x 60 = 120 minutes (2 hours) per week.

Credit points 3 credit points (sks) Requirements according to the examination regulations



-


Course Learning Outcome (CLO) after completing this module: CLO 1 Students are able to use the basic principles of chemistry as a basis for studying science related to chemistry. CLO 2 Students can perform basic chemical calculations

PLO8, PLO9

PLO8, PLO9 Content This course studies the basic principles of chemistry which are used

as the basis for studying the next subject related to chemistry. The materials presented including atomic theory, chemical bonds, stoichiometry, state of matter and phase changes, acid-base theorem, ionic equilibrium in solution, chemical thermodynamics, chemical kinetics and electrochemistry.


● In-class exercises (20%) ● Assignment 1, 2, 3 (25%) ● Mid-term examination (25%) ● Final examination (30%)

Media employed LCD, whiteboard, websites (myITS Classroom), zoom. Reading list Main :

1. Tim Dosen Departemen Kimia, (2019). “Kimia 1”, edisi kedua, Media Bersaudara, Surabaya.

Supporting : 1. Oxtoby, D.W., Gillis, H.P. and Campion, A., (2012). ”Principles

of Modern Chemistry”, 7th Edition, Brooks/Cole. 2. Chang, R. and Goldsby, K., (2012). “Chemistry”, 11th Edition,

McGraw-Hill, USA. 3. Goldberg, D. E., (2007). “Fundamental of Chemistry”, 4th

Edition, McGraw-Hill Companies

Module name Basic Programming Module level Undergraduate Code IF184101 Courses (if applicable) Basic Programming Semester 1 Lecturer Rully Soelaiman, S.Kom., M.Kom. (PIC)

Misbakhul Munir Irfan Subakti, S.Kom., M.Sc. Dr. Diana Purwitasari, S.Kom., M.Sc. Dr. Agus Budi Raharjo, S. Kom, M. Kom

Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.

2. International undergraduate program; compulsory.


1. Undergraduate degree program: lectures, < 60 students, 2. International undergraduate program: lectures, < 40 students

Teaching Methods lecture, lab works, project

Workload 1. Lectures: 4 sks x 50 = 200 minutes (3 hours 20 minutes) per week. 2. Exercises and Assignments: 4 x 60 = 240 minutes (4 hours) per

week. 3. Private study: 4 x 60 = 240 minutes (4 hours) per week.

Credit points 4 credit points (sks). Requirements according to the examination


regulations Mandatory prerequisites

-


After completing this module, a student is expected to:

CO1 Able to understand software development methodologies (analysis, design, coding, testing, documentation) and apply these methodologies to simple problems

PLO1, PLO5, PLO7, PLO9

CO2 Able to translate designs ito algorithms correctly and structured


CO3 Able to design structured programs in a modular manner with a top-down approach using functions in C language, and able to perform debugging and testing processes

PLO1, PLO5, PLO7, PLO8, PLO9

Content The concept of algorithms and computer programming such as: Program flowchart, standard and documentation, Application development using C language compiler, Input-process-output anddata types, type cast and conversion, Control flows and their implementation example, String and array, Function, passing arguments/parameters and modularity, Recursive structure, Data Structure using Struct in C, File I/O, Using graphical and other libraries, Programtesting, debugging and documentation.

Media employed LCD, whiteboard, websites, books (as references), online meeting, etc. Assessments and Evaluation

One written Midterm assessment (60 minutes) and one final oral exam (30 minutes), two short computer-based quizzes, take-home written assignments


The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments : 15% • Written Midterm assessment: 25% • Final oral exam: 30%

Students must have a final grade of 55.6% or higher to pass.

Reading List Jeri R. Hanly, Elliot B. Koffman, Problem Solving and Program Design in C, 7th edition, Addison Wesley, 2012. Thomas H. Cormen, Charles E.Leiserson, Ronald L. Rivest, Introduction to Algorithms, McGraw-Hill, 2003

There are six religions taught according to registered religions in Indonesia. We provide a

sample module handbook of Hinduism.

Module name Hinduism Module level Undergradute Code UG184904 Course (if applicable) Hinduism Semester Second Semester Person responsible for the module

Dra.Ni Wayan Suarmini, M.Sc

Lecturer ITS Hinduism Lecturer Team Language Indonesian Relation to curriculum Undergradute degree program, mandatory, 2nd semester. Type of teaching, contact hours


Workload • Lectures : 2 x 50 = 100 minutes per week. • Exercises and Assignments : 2 x 60 = 120 minutes (2 hours) per

week. • Private learning : 2 x 60 = 120 minutes (2 hours) per week.

Credit points 2 credit points (sks)

Requirements according to the examination regulations



-


(S1) Believe in God Almighty and able to show a religious attitude (S.1); (S2) Upholding human values in carrying out duties based on religion, morals and ethics (S.2) (S6) Cooperate and have social sensitivity and concern for society and the environment (S.6) (KU.6) Able to maintain and develop cooperation networks and cooperation results within and outside the institution (KU. 6)

PLO8, PLO9 PLO8, PLO9 PLO8, PLO9 PLO8, PLO9

Content The Hindu Religious Education course discusses and explores materials with the substance of human relations with Hyang Widdhi (God Almighty) for increased faith and piety (Sraddha and bhakti); human relations with fellow humans in building a humanist civilization; as well as human relations with their environment in creating welfare (jagadhita), so as to be able to form Hindu and

Indonesian human beings who are independent, responsible and caring.


• In-class exercises (20%) • Assignment 1, 2, 3 (25%) • Mid-term examination (25%) • Final examination (30%)

Media employed LCD, whiteboard, websites (myITS Classroom), zoom. Reading list Main:

1. Direktorat Jenderal Pembelajaran dan Kemahasiswaan, 2016, Pendidikan Agama Hindu untuk Perguruan Tinggi, Kemenristek Dikti RI

Supporting:

1. Singer, Wayan, 2012. Tattwa (Ajaran Ketuhanan Agama Hindu, Surabaya, Paramita

2. Tim Penyusun, 1997, Pendidikan Agama Hindu Untuk Perguruan Tinggi, Hanuman Sakti

3. Wiana, 1994, Bagaimana Hindu Menghayati Tuhan, Manikgeni 4. Wiana, 1982, Niti Sastra, Ditjen Hindu dan Budha. 5. Titib, 1996, Veda Sabda Suci Pedoman Praktis Kehidupan,

Paramita. 6. Pudja, 1997, Teologi Hindu, Mayasari

Module name Physics 2 Module level Undergradute Code SF184202 Course (if applicable) Physics 2 Semester Second Semester (Genap) Person responsible for the module

ITS Physics Lecturer Team

Lecturer ITS Physics Lecturer Team Language Bahasa Indonesia Relation to curriculum Undergradute degree program, mandatory, 2nd semester. Type of teaching, contact hours


Workload • Lectures : 3 x 50 = 150 minutes per week. • Exercises and Assignments : 2 x 60 = 120 minutes (2 hours) per

week. • Private learning : 2 x 60 = 120 minutes (2 hours) per week.

Credit points 3 credit points (sks) Requirements according to the examination regulations



-


CLO 1 Students understand particles that compose a matter and it’s electrical properties, substantial of conductor and dielectric CLO 2 Students understand the strength of an electric field based on Coulomb force and Gauss’s law CLO 3 Students are able to understand various forms of electric potential in charged conductors CLO 4 Students understand the capacitance principle of various form of capacitor in capacitor circuits, series, parallel and mixed CLO 5 Able to use magnetic field force formulas for electric currents and moving charges CLO 6 Able to mention the role of magnetization in magnetic material and hysteresis loop. CLO 7 Understand the principle of electromotive force emergences, and current in resistor, capacitor and inductor

PLO8, PLO9 PLO8, PLO9 PLO8, PLO9 PLO8, PLO9 PLO8, PLO9 PLO8, PLO9 PLO8, PLO9 PLO8, PLO9

CLO 8 Able to determine magnitude of the impedance, electric current and phase angle in parallel and series circuit R-L, R-C, RL-C

Content In this course students will learn to understand the basic laws of physics, Electric Field; Electric Potential; Electric current ; Magnetic field; Electriomotive Force (EMF) of Induction and Alternating Current, through simple math descriptions and introducing the examples of concepts usage


● In-class exercises (20%) ● Assignment 1, 2, 3 (25%) ● Mid-term examination (25%) ● Final examination (30%)

Media employed LCD, whiteboard, websites (myITS Classroom), zoom. Reading list Main :

1. Halliday & Resnic; 'Fundamental of Physics'. John Wiley and Sons, New York, 1987

2. Tim Dosen, "Diktat Fisika II", ”Soal-soal Fisika II", Fisika FMIPA-ITS

3. Giancoli, DC., (terj, Yuhilza H), 'Fisika, jilid 2', Ertangga, Jakarta, 2001.

Supporting : 1. Alonso & Finn,"Fundamental University Physics", Addison

Wesley Pub Comp Inc,1`.ed, Calf, 1990 2. Tipler, PA,(ted. L Prasetio dan R.W.Adi), "Fisika : untuk Sains

dan Teknik, Jilid 2", Erlangga, Jakarta, 1998

Module name Digital System Module level Undergraduate Code IF184201 Courses (if applicable) Digital System Semester 2 Lecturer Prof. Ir. Supeno Djanali, MSc, Ph.D. (PIC)

Ir. Muchammad Husni, M.Kom Tohari Ahmad, S.Kom, M.IT, Ph.D Henning Titi Ciptaningtyas, S.Kom, M.Kom





Teaching Methods Lecture

Workload 1. Lectures: 3 x 50 = 150 minutes (2 hours 30 minutes) per week. 2. Exercises and Assignments: 3 x 60 = 180 minutes (3 hours) per


Credit points 3 credit points (sks). Requirements according to the examination regulations



-



CO1 Students capable of analysing and designing digital system either combinational as well as sequential circuits.

PLO2

Content 1. Number System: Explanation betweeen analog and digital system. Number systems: binary, octal, decimal, hexadecimal, conversion between number system. Coding: 8-4-2-1, BCD, Excess-3, Gray, dan others.

2. Boolean Algebra and simplification of Boolean function: Logic Gate: OR, AND, NOT, XOR, NAND. Truth table,logic function and its implementation using gates. SOP and POS form. Simplification using Boolean algebra & De Morgan theory. Simplification using K-map and Tabulation mehod.

3. Combinational Circuit: Adder, Subtractor, Decoder, Encoder, Multiplexer, Demultiplexer. Design combinational circuit.

4. Synchronous Sequential Logic: Basic concept of synchronous sequential circuit, SR Latch. SR, JK, D, and T Flip-Flops, State Diagram, Sequential circuit analysis, design using flip-flops.

5. Register, Counter and Memory: Register, Register with Parallel Load, Shift Register, Counter, Binary Up-Down Counter, Memory Decoding, memory design, Error Corection, ROM.

6. Algorithmic Satate Machine (ASM): ASM Chart, ASM Block, Timing Sequence, Circuit design using ASM Chart.

7. Asynchronous Sequential Logic (ASL): Basic concept of ASL, Transition Table, Flow Table, Race Condition. Example of ASL circuit design, simplification of State and Flow Table.

Media employed LCD, whiteboard, websites, books (as references), online meeting, etc.

Assessments and Evaluation

One written Midterm assessment (60 minutes) and one final written exam (60 minutes), two short computer-based quizzes, take-home written assignments


The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments : 15% • Written Midterm assessment: 25% • Final written oral exam: 30%


Reading List • Supeno Djanali, Sistem Digital (Ed. 2), ITS Press, 2017. • Mano, Morris & Michael D. Cilleti, Digital Design (5th Ed).

Pearson, Prentice Hall, 2013. • Wakerly, John F, Digital Design Principle & Practice (3rd. Ed).

Prentice Hall, 1999 • Tan, A.T. Choy, Digital Logic Design (2nd Ed), McGraw-Hill,

2011

Module name Data Structures Module level Undergraduate Code IF184202 Courses (if applicable) Data Structures Semester 2 Lecturer Ir.F.X. Arunanto M.Sc. (PIC)

Abdul Munif, S.Kom., M.Sc. Dwi Sunaryono S.Kom., M.Kom. Dr.techn. Ir.Raden Venantius Hari Ginardi M.Sc Agus Budi Raharjo, S.Kom, M.Kom., Ph.D.











Programming Fundamental



CO1 Students are able to abstract data on real problems according to the concept of linear data structures (stack, queue), non-linear (tree, graph) and using C/C++.

PLO6, PLO7, PLO9

CO2 Students are able to implement data access on linear static and dynamic data structures, array and

PLO6, PLO7, PLO9

linked list, to solve the problems based on order of data entry (LIFO, FIFO) using C/C++ CO3 Students are able to explain terminology in graphs, explain and apply topological sort, find the shortest distance and minimum-cost spanning tree in a graph.

PLO6, PLO7, PLO9

CO4 Students are able to implement hash-tables, to access data based on key-value data mapping using C/C++.

PLO6, PLO7, PLO9

Content 1. Abstract data type: introduction; concepts of storing, arranging and ordering data in linear/non-linear approaches;

2. Linear data structure (stack, queue): push-pop functions in a stack; enqueudequeue functions in a queue; empty, full, and top functions for checking the contents of a structure; implementations of stack and queue with array, linked-list and STL for problem solving;

3. Non-linear data structure - tree: functions for insertion, deletion, and searching nodes in a tree; binary search tree; graph; traversing algorithms in tree and graph; implementations of tree and graph with array, linked-list and STL for problem solving;

4. Sorting algorithms (selection, insertion, bubble, quick, merge) and searching algorithms (binary, hashing) for storing, arranging and ordering data; analysis of algorithms;

5. Hash table data structure Media employed LCD, whiteboard, websites, books (as references), online meeting, etc. Assessments and Evaluation



The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments: 15% • Written midterm assessment: 25% • Final oral exam: 30%


Reading List Mark Allen Weiss, “Data Structures and Algorithm Analysis in C++ 4ed”, Addison-Wesley, New Jersey, 2014 Robert Sedgewick, Philippe Flajolet, “An Introduction to the Analysis of Algorithms 2ed”, Addison-Wesley, New Jersey, 2013

Module name Object Oriented Programming Module level Undergraduate Code IF184301 Courses (if applicable) Object Oriented Programming Semester 3 Lecturer Rizky Januar Akbar, S.Kom.,M.Eng. (PIC)

Fajar Baskoro, S.Kom., M.T. Ridho Rahman Hariadi S.Kom, M.Sc.





Teaching Methods lecture, project






Data Structure



CO1 Students understand the difference between object-oriented programming and procedural programming.

PLO7, PLO9

CO2 Students understand and are able to implement concept of class, inheritance, overriding, overloading, abstract class, interface, collections, thread, iterator, library and GUI.

PLO7, PLO9

Content 1. Procedural concept and the problems. 2. Class concept (fields, methods, constructors), and object (state and

behavior). 3. Class diagram modelling. 4. Inheritance, overriding, sub class. 5. Dynamic dispatch: definition of method-call. 6. Polymorphism, upcasting and downcasting. 7. Abstract class, interface 8. Object lifetime: constructor, destructor, finalizer, memory

management (heap and stack, garbage collection). 9. Standard library in object oriented programming language:

collection, iterator, multithreading, GUI (Graphichal User Interface). 10. Exception handling






Reading List Deitel, P., &Deitel, H. (2011). C++ How to Program (8th Edition). Prentice Hall. Lippman, S. B., Lajoie, J., & Moo, B. E. (2012). C++ Primer (5th Edition). Addison-Wesley Professional. McConnell, S. (2004). Code Complete: A Practical Handbook of Software Construction, Second Edition (2nd edition). Microsoft Press. Gamma, E., Helm, R., Johnson, R., &Vlissides, J. (1994). Design Patterns: Elements of Reusable Object-Oriented Software (1st edition). Addison-Wesley Professional.

Module name Linear Algebra Module level Undergraduate Code IF184302 Courses (if applicable) Linear Algebra Semester 3 Lecturer Dr. Bilqis Amaliah, S.Kom, M.Kom (PIC)

Dr. Yudhi Purwananto, S.Kom, M.Kom Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.






Credit points 3 credit points (sks). Requirements according to the examination regulation



Calculus 2



CO1 Students are able to solve the system linear equations (SLE) problem using computational matrix.

PLO3

CO2 Students are able to solve Matrix operation problem and Pseudo-inverse.

PLO3

CO3 Students are able to solve vector space problem. PLO3

CO4 Students are able to solve basis problem. PLO3

CO5 Students are able to solve eigen problem. PLO4

CO6 Students are able to implementation SLE, matrix and basis into the program.

PLO4

CO7 Students are able to apply linear algebra in some cases.

PLO5

Content 2. System Linear Equations; Gaussian elimination, Gauss-Jordan elimination and Cramer’s rules (using program).

3. Matrix and operation, determinant, determinant using Elementary Row Operations (ERO) and cofactor.

4. Invers matrix using ERO, cofactors and pseudo-inverse. 5. Vector space, field equations, parametric equations, symmetric

equations, dot product, cross product, and linear transformations.

6. Basis, spans, linear independent, homogeneous linear equations, old basis and new basis, the general solution, basis row space, basis column space, orthonormal bases, gram Schmidt.

7. Eigenvalue dan eigen vector, diagonalization, orthogonal diagonalization (using program).

8. Case example in linear algebra.


The final grade in the module is composed of:

1. Two short computer-based quizzes: 15% x 2 = 30% 2. Take-home written assignments: 15% 3. Written midterm assessment: 25% 4. Final oral exam: 30%




One written midterm assessment (60 minutes) and one final oral exam (30 minutes), two short computer-based quizzes, take-home written assignments.

Reading List Elementary Linear Algebra; Howard Anton, Drexel University, John Wiley & Sons, Inc; Ninth Edition, 2005. Elementary Linear Algebra - Applications Version; Howard Anton, Chris Rorres; John Wiley & Sons, Inc; Ninth Edition, 2005.

Module name Numerical Computation Module level Undergraduate Code IF184303 Courses (if applicable) Numerical Computation Semester 3 Lecturer Victor Hariadi, S.Si, M.Kom (PIC)

Dr. Ahmad Saikhu, S,Si, MT. Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.









Math 2



CO1 The students being able to understand significant figures, round-off errors, and Taylor series.

PLO3

CO2 The students being able to use several methods to finding roots of equation.

PLO3

CO3 The students being able to use several methods for curve fitting with regression and interpolation techniques.

PLO3

CO4 The students being able to use several numerical methods for finding approximation value for finite-difference.

PLO3

CO5 The students being able to use several numerical methods for finding integration value.

PLO4

CO6 The students being able to use several numerical methods for finding the value of differentiation of function with a single free’s variable.

PLO4

Content • Introduction to Numerical Computation - Significant Figures - Errors Definition - Round-off Errors - Taylor Series

• Root of Equation: Bracketing (Accolade) Methods - Graphical Method - Table Method - Bolzano Method - False Position Method - Factorization Method - Quotient-Difference Method

• Root of Equation: Open Methods - Iteration Method - Newton-Raphson Method - Secant Method - Brent’s Method - Multiple Roots

• Roots of Polynomial - Polynomials in Engineering and Science - Muller’s Method - Bairstow’s Method

• Curve Fitting: Least-Squares Regression - Linear Regression - Polynomial Regression

• Curve Fitting: Interpolation - Finite-Difference - Newton-Gregory Interpolation - Gauss Interpolation - Lagrange Interpolation - Hermite Interpolation

• Numerical Integration - Trapezoidal Method

- Simpson Method - Quadrature Method - Rhomberg Method

• Ordinary Differential Equation (ODE) - Euler-Cauchy Method - Heun Method - Picard Method - Taylor Method - Runge-Kutta Method - Adam Method - Milne Method - Adam-Moulton Method

• Partially Differential Equation (PDE) - Elliptical PDE - Parabolic PDE - Hyperbolic PDE






Students must have a final grade of 55.6% or higher to pass. Reading List Chapra, S.C., Canale, R.P.,” Numerical Methods for Engineers 6th

Ed”, McGraw-Hill, 2010 Hariadi, V.,” Bahan Ajar Komputasi Numerik”, 2014

Module name Discrete Mathematics Module level Undergraduate Code IF184304 Courses (if applicable) Discrete Mathematics Semester 3 Lecturer Victor Hariadi, S.Si, M.Kom (PIC)

Arya Yudhi Wijaya, S.Kom.,M.Kom. Dr. Ahmad Saikhu, S,Si, MT.










-



CO1 The students can understand the concepts and equivalence proposition logic, predicates and quantifiers concept, the use of quantifiers in the proposition, and the concept of the rule of determining conclusions.

PLO3

CO2 Students are able to understand the concept of proof methods such as direct evidence, proof by contraposition, proof by contradiction

PLO3

CO3 Students are able to understand the definition of the set, the operation on the set, the concept of function, the concept of a relation, equivalence relation, partial ordering

PLO3

CO4 Students are able to understand the concept of mathematical induction, the concept of strong induction, the method of proof by strong induction and well ordering, recursive definitions, structural induction

PLO3

CO5 Students are able to understand the basic counting, Pigeonhole principle, permutations and combinations, binomial coefficients and Identity, recurrent relations and their applications, solutions recurrent relations.

PLO4

CO6 Students are able to apply Discrete Mathematics in some cases

PLO5

Content • BASIC CONCEPTS OF LOGIC:

Concepts and equivalence proposition logic, predicates and quantifiers concept, the use of quantifiers in the proposition, and the concept of the rule of determining conclusions.

• Methods Basic Concepts of Evidence: The concept of proof methods such as direct evidence, proof by contraposition, proof by contradiction. • Basic Concepts Discrete Structures:

Definition of the set, the operation on the set, the concept of function, the concept of a relation, equivalence relation, partial ordering. • Method of Evidence with Induction and Recursion:

The concept of mathematical induction, the concept of strong induction, the method of proof by strong induction and well ordering, recursive definitions, structural induction.

• Basic Concept of Calculation:

Basic counting, pigeonhole principle, permutations and combinations, binomial coefficients and Identity, recurrent relations and its applications, solutions recurrent relations.







Reading List Kenneth H. Rosen, "Discrete Mathematics and its Applications 7th edition”, McGraw-Hill Incorporated, New York, 2012. Andrew Simpson, “Discrete Mathematics by Example”, McGraw-Hill Incorporated, New York, 2002. Norman L. Biggs, “Discrete Mathematics”, Oxford University Press, 2002.

Module name Computer Organization Module level Undergraduate Code IF184305 Courses (if applicable) Computer Organization Semester 3 Lecturer Prof. Ir. Supeno Djanali, MSc, Ph.D. (PIC)

Ir. Muchammad Husni, M.Kom Prof. Tohari Ahmad, S.Kom, M.IT, Ph.D Henning Titi Ciptaningtyas, S.Kom, M.Kom





Teaching Methods Lecture





Mandatory prerequisites Digital System



CO1 Students capable of explaining all aspects of computer organization.

PLO 2

Content 1. Basic Computer Structure: computer architecture and organization, computer sructure and and its internal functions, evolution and computer generations.

2. Machine Instructions and Program: Memory address and location, basic memory operation, instruction and its sequence of execution, addressing modes, assembly language, stack & queue, subroutines, examples of some instruction sets.

3. Input/Output Organization: Input/Output organization, I/O access, interrupt, Direct Memory Acces, standard I/O interface.

4. Memory System: Basic concept of memory system, Random Access Memory (RAM), Read Only Memory (ROM), Cache Memory: Mapping, Replacement Algorithm, Virtual Memory, Secondary Storage.

5. Arithmetics: add and subtract, Fast Adder, multiplication of positive numbers, multiplication of sign numbers, Booth algorithm, Fast Multiplication, division of integer numbers, real number and its operation.

6. Processing Unit: Basic concept of processing unit, execution of the whole instruction, multiple bus organization, Hardwired Control, Multiprogrammed Control.

7. Pipelining: Basic concept of pipelining, data & instruction hazard, Superscalar operation.

Media employed LCD, whiteboard, websites, books (as references), online

meeting, etc. Assessments and Evaluation



The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments : 15% • Written Midterm assessment: 25% • Final written exam: 30%


Reading List Supeno Djanali & Baskoro Adi P., Organisasi Komputer, ITS Press, 2012 Hamacher, Vranezic & Zaky, Computer Organization and Embedded Systems (6th Edition), McGraw-Hill, 2011. William Stallings, Computer Organization and Architecture (9th Edition), Prentice-Hall, 2012. Morris Mano, Computer System Architecture (3rd Edition), Prentice-Hall, 1993.

Module name Database System Module level Undergraduate Code IW184301 Courses (if applicable) Database System Semester 3 Lecturer Adhatus Solichah Ahmadiyah, S.Kom., M.Sc. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.




Teaching Methods Lecture, lab works, project






Data Structure



CO1 Students are able to model data and information in the form of conceptual diagram and physical diagram. And according to the model, students are able to create relational database in a DBMS, able to implement the DDL, DML adn query.

PLO 6

Content 1. BASIC CONCEPTS OF INFORMATION MANAGEMENT: differences in the data, information and knowledge ; benefit from data and information to support human needs; demonstration of the use of data and information for the organization; identification of issues persistent data usage in organizations; evaluation of the

use of small to medium scale applications to meet the real needs of users.

2. DATABASE SYSTEMS: characteristics that distinguish the database approach with traditional approaches to programming with data files; evolution of database and systems approach; the basic purpose, function model, application components and social impact from database systems ; identification of the main function from DBMS and describing its role in the system database; concept of data independence and importance in the database systems; the use of declarative query language to obtain information from databases;

3. DATA MODELLING: categories based on the type of concept data model is provided to describe the structure of the database (concept data model, physical data model, and representational data model), modeling concepts and the use of modeling notation (ERD, UML); relational data model, the basic principles of the relational data model, modeling concepts and notation of the relational data model; The main concept of OO model such as identity, type constructor, inheritance, polimorphisme, and versioning; differences in relational data model with semi-structured data model (DTD, XML Schema).

4. RELASIONAL DATABASE: relational schema from conceptual model created using the model er; relational database design; the concept of integrity constraints and referential integrity constraints; the use of relational algebra operations from mathematical set theory (union, intersection, difference, and Cartesian product) and relational algebra operations to database (select, restrict, project, join, and division); query in the tuple relational algebra and relational calculus; Functional dependence between two or more attributes that are a subset relations, Decomposition of a schema; lossless-join and dependency-preservation properties of a decomposition, Candidate keys, superkeys, and closure of a set of attributes, Normal forms (1NF, 2NF, 3NF, BCNF), Multi-valued dependency (4NF), Join dependency (PJNF, 5NF), Representation theory.

5. BAHASA QUERY: bahasa database, SQL (DDL dan DML untuk mendefinisi struktur data, query, update, batasan-batasan, integritas); QBE dan 4th-generation environments, Nested Queries & Set Comparison. Fungsi EXISTS & NOT EXISTS, Eksplisit Set & NULL, Penamaan Kembali, Fungsi Aggregate & Grouping, Substring Comparison, Arithmetic Operator & Ordering, VIEW dalam SQL.

6. DATABASE APPLICATION







Reading List 1. Ramakrishnan, Raghu, Gehrke, Johannes. 2003. Database Management Systems, Third Edition. New York: The McGraw-Hill Companies, Inc.

2. Howe, David; Data analysis for Database Design, third Edition, Butterworth-Heineman, 2001

Module name Design and Analysis Algorithm Module level Undergraduate Code IF184401 Courses (if applicable) Design and Analysis Algorithm Semester 4 Lecturer Rully Sulaiman, S.Kom., M.Kom. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.










Data Structure



CO1 Course participants can model computational problems algorithmically.


CO2 Course participants can apply the optimal algorithm design to a particular computational problem model

PLO1, PLO5, PLO9

CO3 Course participants are able to analyze algorithm designs which include aspects of correctness and complexity.

PLO1, PLO7, PLO9

CO4 Course participants are able to implement algorithm designs involving efficient data structures using object-oriented programming language

PLO1, PLO8, PLO9

Content 1. Algorithm definition, problem solving fundamental algorithmically, main problem definition, data structure reviews

2. Asymptotic notation, basic notation, general functions. 3. Recursive and non-recursive algorithms analysis (master theorem)






Reading List • Levitin, Anany, “Introduction to The Design & Analysis Af algorithms 3rd ed”, Addison-Wesley, 2012

• Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, “Introduction to Algorithms Third Edition”, MIT Press, 2009

Module name Operating System Module level Undergraduate Code IF184402 Courses (if applicable) Operating System Semester 4 Lecturer Ir. Muchammad Husni, M.Kom (PIC)

Bagus Jati Santoso, S.Kom., Ph.D. Henning Titi Ciptaningtyas, S.Kom, M.Kom Dr. Eng. Royyana Muslim I, S.Kom, M.Kom






Workload 1. Lectures: 4 sks x 50 = 200 minutes (3 hours 20 minutes) per week. 2. Exercises and Assignments: 4 x 60 = 240 minutes (4 hours) per week. 3. Private study: 4 x 60 = 240 minutes (4 hours) per week.




Computer Organization



CO1 Students are able to understand and apply the basic concepts of the operating system as a bridge between hardware and software.

PLO 2, PLO 9

CO2 Students are able to understand and apply multi-process and multithreaded synchronization mechanisms.

PLO 2, PLO 9

CO3 Students are able to understand and apply the concept of memory management, several page replacement algorithms, paging mechanisms and segmentation.

PLO 2, PLO 7, PLO 9

CO4 Students are able to understand the connectedness of hardware I / O and software I / O

PLO 2, PLO 7, PLO 9

Content 1. The basic concept of operating systems, process life cycle, interprocess communication.

2. Multiprocess synchronization mechanism and the multithread 3. Memory management, page replacement, paging and

segmentation algorithm. 4. Process scheduling and its algorithm 5. Relationship and connectivity between I/O hardwares and

I/O softwares. 6. Potential attack types in the operating systems as well as its

security measures. Media employed LCD, whiteboard, websites, books (as references), online




Requirements for successfully passing the module: • the final grade in the module is composed of 60% performance on

exams, 10% quizzes, 10% take-home assignments, 10% in-class

participation. Students must have a final grade of 60% or higher

to pass Reading List William Stallings, Operating Systems: Internals and Design Principles,

Prenctice Hall.

Module name Artificial Intelligence Module level Undergraduate Code IF184403 Courses (if applicable) Artificial Intelligence Semester 4 Lecturer Prof.Ir.Handayani Tjandrasa, M.Sc, Ph.D. (PIC)

Dr. Eng. Nanik Suciati, S.Kom, M.Kom Dr. Eng. Chastine Fatichah, S.Kom, M.Kom Dini Adni Navastara, S.Kom., M.Sc.










Data Structure



CO1 Students can comprehend concepts of artificial intelligence, intelligent agent and identify the problems that can be solved by using intelligent agent

PLO3

CO2 Students can explain, identify, design and apply the intelligent agent by using searching algorithm including uninformed search, informed search, heuristic search, adversarial search and searching algorithm for Constraint Satisfaction Problem

PLO3

CO3 Students can explain, design and apply knowledge-based intelligent agent representing from knowledge-based to propositional logic or first order

PLO3

logic and use resolution algorithm, forward and backward chaining to process the inference. CO4 Students can explain, design and apply the first order logic to represent the action aspect, space, time dan mental event using ontology and appropriate reasoning

PLO3

CO5 Students can explain, design and apply the intelligent agent for the problem that exists in uncertain condition using Bayesian network and probabilistic reasoning.

PLO4

CO6 Students can explain, design and apply the intelligent agent using statistical learning algorithm.

PLO4

CO7 Students can apply Artificial Intelligence in some cases.

PLO5

Content - Concepts of Artificial Intelligence - Intelligent Agent, - Searching Algorithms:

- Uninformed Search, - Informed Search, - Heuristic Search, - Adversarial Search, and - Searching algorithm for Constraint Satisfaction Problem.

- Representation and Inference - Resolution, - Forward-chaining, and - Backward Chaining.

- Propositional Logic and First Order Logic - Reasoning Under Uncertainty and Statistical Learning

- Bayesian Learning, - Maximum A Posteriori Approximation (MAP), - Maximum Likelihood Approximation, - Parameter Learning, - Naïve Bayes Model, - Parameter Learning, - EM Algorithm, - Log-likelihood Function, - Hidden Markov Model, - Maximization,

- Miss Data, - E-step, - M-step, And - Mixed Attributes Example.







Reading List Russel & Norvig, Artificial Intelligence: A Modern Approach R.O. Duda, P.E.Hart, D.G.Stork, Pattern Classification, John Wiley & Sons, Inc., 2001

Amit Konar, Computational Intelligence, Springer, 2005.

C. H. Bishop, Pattern Recognition and Machine Learning, Springer Science, 2006

Module name Database Management Module level Undergraduate Code IF184404 Courses (if applicable) Database Management Semester 4 Lecturer Kelly Rossa Sungkono, S.Kom., M.Kom (PIC)

Dwi Sunaryono, S,Kom., M.Kom Sarwosri, S.Kom. M.T Adhatus Solichah Ahmadiyah, S.Kom., M.Sc. Nurul Fajrin Ariyani, S.Kom., M.Sc.

Language Bahasa Indonesia dan English Relation to curriculum 1. Undergraduate degree program; compulsory.





Workload 1. Lectures: 3 sks x 50 = 150 minutes (2 hours 30 minutes) per week.

2. Exercises and Assignments: 3 x 60 = 180 minutes (3 hours) per week.

3. Private study: 3 x 60 = 180 minutes (3 hours) per week. Credit points 3 credit points (sks). Requirements according to the examination regulations



Database System



CO1 Students can model database from various industrial fields.

CPL Prodi 1, CPL Prodi 6

CO2 Students can handle the problem in a large scale database.

CPL Prodi 6

CO3 Students can model an active database integrated with business rules.

CPL Prodi 6

Content 1. System Analyst and Development of Information Systems: System Analyst (Competency and role). Development of information systems, Software development life cycle (Planning, Analysis, Design and Implementation). Identification and initialization of Information Systems Project, Feasibility Analysis Project (Technique, Economy and organization).

2. Analysis Phase: Requirement establish (understand business process, issues domain, organizations, and stakeholder). Technique to get requirement (Interview, questioners, Observation, document analysis, selecting appropriate technique). Strategic to do analysis requirement (Problem analysis, root course analysis, activity based costing).

3. Requirement Modeling: Process modeling (Data Flow Diagram, Data Dictionary, Functional Decomposition Diagrams). Data Modeling (Entity Relationship Diagram/ Conceptual Data Model). Object Model (Use Case Diagram, Activity Diagram, Sequence Diagram, Class Analysis, Class Diagram analysis level).

4. Development Strategic: Internet Impact (Software as a Services (SaaS), Web Based System Development, Cloud Computing), Outsourcing, In House Software Development option, Role analyst systems, Analysis of cost and benefit, Process of software acquisition, Transition system to design, design system guide, Prototyping, Software development trend.

5. Design Phase: Translation from Analysis to Design, Architectural Design (Element - element, Client Server, User Interface and report Design, Code Design and data storage design.







Reading List 1. Avi Silberschatz, “Database System Concepts”, 5th edition, 2002. 2. Morgan Kaufman, “Advanced Database System”, Morgan

Kaufman Publisher Inc., 1993.

3. Howe, David, “Data Analysis for Database Design”, 3th edition. Butterworth-Heineman, 2001.

4. Ramakrishnan, Raghu, Gehrke, Johannes. “Database Management Systems”, 3th ed., New York: The McGraw-Hill Companies Inc., 2003.

Module name Probability and Statistics Module level Undergraduate Code IF184405 Courses (if applicable) Probability and Statistics Semester 4 Lecturer Victor Hariadi, S.Si, M.Kom (PIC)

Dr. Ahmad Saikhu, S,Si, MT. Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; mandatory; compulsory.









Discrete Mathematics



CO1 Students can explain about fundamentals of Statistics in relation to the data analysis. Students can make a model of the probability of an event of a random experiment..

PLO3

CO2 Students can model the random experiment with Bayesian theorem approach. Students can model the random experiment using random variable approach.

PLO3

CO3 Students can calculate the probability of discrete and continuous random variables with a variety of special distributions. Students can explain the concept of expectation, variance, covariance and correlation.

PLO3

CO4 Students can explain the concept of probability distributions approach and Chebyshev theorem. Students have an ability to estimate parameter using samples.

PLO3

CO5 Students can calculate the estimators of the population parameters and make a conclusion. Students can perform a hypothesis test of the population parameters and make a conclusions.

PLO4

CO6 Students can create an ANOVA model. Students can apply the orthogonal experimental design to analyse the influence of multiple factors.

PLO4

CO7 Students can create a model of PCA to reduce the dimension of data.

PLO4

CO8 Students are able to apply Probability and Statistics in some cases

PLO5

Content • Sample Space • Event Space • Probability Axioma and Probability Formula • Conditional Probability • Bayesian Theory • Random Variable • Discrete and Continue Probability • Expectation • Sampling Distribution • Estimation • Hypothesis Testing • Analysis of Variance • Principal Component Analysis







Reading List Ronald E. Walpole, Raymond H. Myers, “Probability & Statistics for Engineers & Scientists”, 9th Edition, Prentice-Hall Inc., 2010. Michael Baron, “Probability & Statistics for Computer Scientists”, Chapman & Hall, 2007. Sheldon Ross, “A First Course in Probability”, Prentice Hall, 9th Edition, 2012.

Module name Information System Design and Analysis Module level Undergraduate Code IF184406 Courses (if applicable) Information System Design and Analysis Semester 4 Lecturer Sarwosri, S.Kom., M.T. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.










Data Structures



CO1 Students understand the role of Systems Analyst and understand information system development

PLO8

CO2 Students are able to understand business processes and determine user requirements.

PLO3, PLO8

CO3 Students are able to model requirements by modeling processes, data and objects.

PLO3, PLO9

CO4 Students are able to translate the results of analytical modeling into designs which include

PLO3, PLO9

architectural design, user interfaces and reports, programs and data storage.

Content 1. System Analyst and Development of Information Systems: System Analyst (Competency and role). Development of information systems, Software development life cycle (Planning, Analysis, Design and Implementation). Identification and initialization of Information Systems Project, Feasibility Analysis Project (Technique, Economy and organization).

2. Analysis Phase: Requirement establish (understand business process, issues domain, organizations, and stakeholder). Technique to get requirement (Interview, questioners, Observation, document analysis, selecting appropriate technique). Strategic to do analysis requirement (Problem analysis, root course analysis, activity based costing).

3. Requirement Modeling: Process modeling (Data Flow Diagram, Data Dictionary, Functional Decomposition Diagrams). Data Modeling (Entity Relationship Diagram/ Conceptual Data Model). Object Model (Use Case Diagram, Activity Diagram, Sequence Diagram, Class Analysis, Class Diagram analysis level).

4. Development Strategic: Internet Impact (Software as a Services (SaaS), Web Based System Development, Cloud Computing), Outsourcing, In House Software Development option, Role analyst systems, Analysis of cost and benefit, Process of software acquisition, Transition system to design, design system guide, Prototyping, Software development trend.

5. Design Phase: Translation from Analysis to Design, Architectural Design (Element - element, Client Server, User Interface and report Design, Code Design and data storage design.







Reading List Dennis Wixom Roth, System Analysis & Design, 5 th, Wiley, 2009 Shelly Rosenblatt, Systems Analysis and Design, 8 th, Course Technology, 2010 Ian. Sommerville, Software Engineering, 9th ed., Addison-Wesley, 2011. M. Page-Jones, Fundamentals of Object-Oriented Design in UML, 1st ed., Addison-Wesley, 1999

Module name Software Design

Module level Undergraduate Code IF184501 Courses (if applicable) Software Design Semester 5 Lecturer Nurul Fajrin Ariyani, S.Kom., M.Sc. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.










Object Oriented Programming, Web Programming (taking)



CO1 Students understand and able to apply the software design principle, software design approach, design pattern, framework reuse and interface design.

PLO3, PLO9

CO2 Students also have awareness of key issues in software design

PLO3, PL9

Content Software design principles: abstraction; coupling and cohesion; decomposition and modularization; encapsulation; separating of interface and implementation; sufficiency, completeness, and primitiveness; and separation of concerns. Key issues in software design: concurrency; event handling; data persistance; error handling; fault tolerance; security; etc. Types of Software. Software design approach: top-down; bottom-up; function-oriented; data structure-centered; object-oriented; and component-based. Software Architecture Concepts: client-server; three-tier; Model-View-Controller; etc. Design patterns: several patterns which is suitable with problem domain such as creational patterns; structural patterns; and behavioral patterns. Framework reuse. Interface Design.







Reading List D. Budgen, Software Design, 2nd ed., Addison-Wesley, 2003.

Robert C. Martin and Micah Martin, Agile Principles, Patterns, and Practices in C#, Prentice Hall, 2006.

Sommerville, Software Engineering, 9th ed., Addison-Wesley, 2011.

E. Gamma et al., Design Patterns: Elements of Reusable Object- OrientedSoftware, 1st ed., Addison-Wesley Professional, 1994.

P. Bourque and R.E. Fairley, eds., Guide to the Software Engineering Body of Knowledge, Version 3.0, IEEE Computer Society, 2014.

Module name Computer Graphics Module level Undergraduate Code IF184502 Courses (if applicable) Computer Graphics Semester 5 Lecturer Hadziq Fabroyir, S.Kom., Ph.D. (PIC)

Anny Yuniarti, S.Kom, M.Comp.Sc Wijayanti Nurul Khotimah, S.Kom, M.Sc











Object Oriented Programming



CO1 Students are able to explain the basics of graphics systems and graphics pipeline in a graphics library.

PLO 4, PLO 9

CO2 Students are able to demonstrate a simple graphics program, based on the example.

PLO 4, PLO 9

CO3 Students are able to create graphics programs that take advantage of the World Windows and Viewport.

PLO 4

CO4 Students are able to create a simple interactive graphics application program.

PLO 4

CO5 Students are able to explain the vector tools. PLO 9

CO6 Students are able to explain the concept of geometry, representation, and object transformations.

PLO 9

CO7 Students are able to create a graphics program that involves the concept of object transformations.

PLO 4

CO8 Students are able to explain the concept of object modeling using Polygonal Meshes.

PLO 9

CO9 Students are able to explain the concept of a hierarchy of objects in 2D and 3D modeling.

PLO 9

CO10 Students are able to apply the concept of 3D viewing into a graphics program.

PLO 4

CO11 Students are able to apply the concept of rendering into a graphics program.

PLO 4

CO12 Students are able to explain the concept of raster display.

PLO 9

CO13 Students are able to apply the concept of depiction curves and surfaces into a graphics program.

PLO 4

Content 1. Fundamentals of graphics systems and graphics programming using graphics library (OpenGL and Direct3D), World window dan viewport, Vector tool, Transformation, Polygonal Mesh, Hierarchy Modelling, Viewing, Rendering, Raster display, Curve and surface.

Media employed

LCD, whiteboard, websites, books (as references), online meeting, etc.


1. Problem 1 in mid-term exam (5%) and exercise 1 (5%) - 10% 2. Problem 2 in mid-term exam (5%) and exercise 2 (5%) - 10%

3. Problem 3 in mid-term exam (5%); problem 4 in mid-term exam (5%); assignment 1: make an algorithm and computer program (5%); and exercise 3 (5%) - 20%

4. Problem 5 in mid-term exam (5%); problem 1 in final exam (5%) and exercise 4 (5%) - 15%

5. Problem 2 in final exam (5%); assignment 2: make a function and recursive (5%); and exercise 5 (5%) - 15% CO6: Problem 3 in final exam (5%) and exercise 6 (5%) - 10%

6. Problem 4 in final exam (5%) and exercise 7 (5%) - 10% 7. Problem 5 in final exam (5%) and assignment 3: make a program

based on a real-life problem (5%) - 10%




Reading List

1. FS Hill Jr, “Computer Graphics using OpenGL”. 2. Edward Angel, “Interactive Computer Graphics: A Top-Down

Approach Using OpenGL”, Sixth Edition, Pearson International Inc, 2012.

3. Edward Angel, “OpenGLTM: A Primer”, Third Edition, AddisonWesley, 2002.

4. Frank Luna, “Introduction to 3D Game Programming with DirectX 11”, Mercury Learning & Information, 2012.

5. Jason Zink, “Practical Rendering and Computation with Direct3D”, A K Peters, 2011.

6. Donald Hearn and M. Pauline Baker, “Computer Graphics with OpenGL”, 3rd Edition.

7. Alan Watt, “3D Computer Graphics”, Addison-Wesley.

Module name Computational Intelligence Module level Undergraduate Code IF184503 Courses (if applicable) Computational Intelligence Semester 5 Lecturer Prof.Ir.Handayani Tjandrasa, M.Sc, Ph.D. (PIC)

Dr. Eng. Nanik Suciati, S.Kom, M.Kom Dr. Eng. Chastine Fatichah, S.Kom, M.Kom Dini Adni Navastara, S.Kom., M.Sc.










Artificial Intelligence



CO1 Students are able to explain classifiers with linear and non-linear discriminant functions, perceptron, Support Vector Machine (SVM)

PLO3, PLO 9

CO2 Students are able to explain the Fuzzy Logic and its use in rule-based systems, examples of the system controllers.

PLO3, PLO 9

CO3 Students are able to explain the Decision Tree and the establishment of an optimal structure as well as the occurrence of overfitting.

PLO3, PLO 9

CO4 Students are able to implement the methods that have been discussed such as SVM, Fuzzy Logic, and Decision Tree, in an application.

PLO3, PLO 9

CO5 Students are able to explain the various methods of clustering and its use.

PLO4, PLO 9

CO6 Students are able to explain the method of artificial neural networks with backpropagation algorithm, the non-linearly separable problems, Neuro-Fuzzy, and SOM.

PLO4, PLO 9

CO7 Students are able to implement the methods of clustering and neural networks in an application.

PLO4, PLO 9

C08 Students are able to explain the methods of optimization with evolutionary algorithms: Genetic Algorithm (GA), Ant Colony (ACO), and Particle Swarm Optimization (PSO).

PLO4, PLO 9

Content • Management Concept: - Introduction to Project Management - Classical management Model

• Roles in Project Management • The Structure of Organizational Management/Enterprise • Software Project Management Framework • Case Tool for Software Project Management • Project Planning • Planning and Evaluation • Work Breakdown Structure (WBS) • Task Scheduling:

- Effort Estimation, - Cost Estimation, - Cost Estimation Techniques (Cocomo, Activity Base Costing,

etc.), - Resources Allocation.

• Risk Management: Project Proposal • Tender And Legal Aspects of The Project:

- Tender, - Preparing The Legal Aspects in The Tender, - Contract Documents.

• Organization and Project Personnel. • Organizational Structure, Position, Responsibilities and

Authority. • Formal and Informal Communication • Project Staffing • Personnel Training, Career Development, and Evaluation • Meeting Management. • Build And Motivate Teams:

- Conflict Resolution, - Project Control, - Change Control, - Reporting and Monitoring, - Analyse and Measure Project Results, - Recovery and Correction, - Reward and Discipline, - Performance Standards.







Reading List Sergios Theodoridis, Konstantinos Koutroumbas, Pattern Recognition, 4th ed., Elsevier Inc., 2009. R.O. Duda, P.E.Hart, D.G.Stork, Pattern Classification, John Wiley & Sons, Inc., 2001 Amit Konar, Computational Intelligence, Springer, 2005. C. H. Bishop, Pattern Recognition and Machine Learning, Springer Science, 2006 Simon Haykin, Neural Networks: A Comprehensive Foundation (2nd Edition), Prentice Hall, 1998.

Module name Web Programming Module level Undergraduate Code IF184504 Courses (if applicable) Web Programming Semester 5 Lecturer Rizky Januar Akbar, S.Kom., M.Eng. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.













CO1 Students have an understanding of the development of web technology and the basics of HTML.

PLO7, PLO9

CO2 Students have the ability to create client-side applications using XHTML, CSS, PHP and JavaScript.

PLO7, PLO9

CO3 Students are able to create simple web applications PLO7, PLO9

CO4 Students are able to create a simple web-based information system with ADO.NET.

PLO7, PLO9

CO5 Students are able to make web service applications. PLO7, PLO9

Content 1. Web technology development and history 2. Basic HTML: tag, component and attribute 3. Implementation of client-server application using XHTML, CSS, PHP

and JavaScript 4. Introuction to ASP and ASP.NET 5. Introduction of web form and class 6. Basic ADO.NET 7. Introduction to web service






Reading List Harvey M. Deitel and Paul J. Deitel, “Internet & World Wide Web How to Program”, 4th Edition, Pearson Education, Inc. , Upper Saddle River, NJ., 2008.

Module name Computer Networks Module level Undergraduate Code IF184505 Courses (if applicable) Computer Networks Semester 5 Lecturer Wahyu Suadi, S.Kom, M.Kom (PIC)

Prof. Ir. Supeno Djanali, MSc, Ph.D. Dr. Eng. Royyana Muslim I, S.Kom, M.Kom Dr. Eng. Radityo Anggoro, S.Kom, M.Eng.Sc





Teaching Methods

Lecture, lab works


week. 3. Private study: 3 x 60 = 180 minutes (3 hours) per week. 4. Practical exercises 1 x 60 = 60 minutes per week (5 case studies)




Operating System



CO1 Students understand the concept of data transmission in a computer network and understand the concept of OSI layer.

PLO 2, PLO 9

CO2 Students are able to design the computer network. PLO 2, PLO 9

Content 1. INTRODUCTION TO COMPUTER NETWORK: computer network usage, hardware for computer network, network software, comparison of OSI and TCP/IP model, internet history, and network standardization.

2. APPLICATION LAYER: HTTP, Email, FTP, P2P, Server Applications 3. TRANSPORT LAYER: Transport layer services, elements in transport

layer protocol, simple transport layer protocol, UDP, TCP 4. NETWORK LAYER: Internet Protocol version 4 (IPv4), subnetting,

routing 5. DATALINK LAYER: Ethernet, ARP, Wi-Fi, Bluetooth 6. COMPUTER NETWORK MANAGEMENT: Basic of network

management. 7. DATA TRANSMISSION TECHNIQUES: Unicast, Broadcast, Multicast.

Media employed LCD, whiteboard, websites, books (as references), online


CO1: Problem 1 in mid-term exam (5%) and exercise 1 (5%) - 10% CO2: Problem 2 in mid-term exam (5%) and exercise 2 (5%) - 10% CO3: Problem 3 in mid-term exam (5%); problem 4 in mid-term exam (5%); assignment 1: make an algorithm and computer program (5%); and exercise 3 (5%) - 20% CO4: Problem 5 in mid-term exam (5%); problem 1 in final exam (5%) and exercise 4 (5%) - 15% CO5: Problem 2 in final exam (5%); assignment 2: make a function and recursive (5%); and exercise 5 (5%) - 15% CO6: Problem 3 in final exam (5%) and exercise 6 (5%) - 10% CO7: Problem 4 in final exam (5%) and exercise 7 (5%) - 10% CO8: Problem 5 in final exam (5%) and assignment 3: make a program based on a real-life problem (5%) - 10%


Mid-term examination and Final examination. Students must have a final grade of 55.6% or higher to pass.

Reading List James F. Kurose and Keith W. Ross, Komputer Networking: A Top-Down Approach, 7th Edition, Addison Wesley, 2013. Andrew S. Tanenbaum and David J. Etherall, Computer Networks, 5th Edition, Prentice Hall, 2011.

Module name Software Project Management Module level Undergraduate Code IF184506 Courses (if applicable) Software Project Management Semester 5 Lecturer Dr. Umi Laili Yuhana, S.Kom., M.Sc. (PIC)

Sarwosri, S.Kom. M.T Fajar Baskoro, S.Kom., M.T. Adhatus Solichah A., S.Kom., M.Sc.











Analysis and Design of Information Systems



CLO 1 Students are able to analyze business & resource problems, risks, and technology problems and are able to assess the qualifications of Team members and provide appropriate assignments

PLO3, PLO6

CLO 2 Students are able to plan software development iteratively, plan budgets and control costs


CLO 3 Students are able to communicate well and are able to work with teams

PLO3, PLO9

CLO 4 Students are able to know the legal aspects related to the project, manage changing needs, evaluate project progress and control the project

PLO3, PLO8, PLO9

Content 1. Management Concept: Introduction to project management ,Classical Management Model

2. Roles in Project Management 3. The structure of organizational management / enterprise 4. Software project management framework 5. Case tool for software project management 6. Project Planning 7. Planning and evaluation 8. Work breakdown structure (WBS) 9. Task scheduling: Effort estimation, cost estimation, cost estimation

techniques (Cocomo, activity base costing, etc.), Resources allocation

10. Risk management: Project proposal 11. Tender and legal aspects of the project: Tender, Preparing the

legal aspects in the tender, Contract documents 12. Organization and Project Personnel 13. Organizational structure, position, responsibilities and authority 14. Formal and informal communication 15. Project staffing 16. Personnel training, career development, and evaluation 17. Meeting management 18. Build and motivate teams: Conflict resolution, Project Control,

Change control, Reporting and monitoring, Analyse and measure project results, Recovery and correction, Reward and discipline, performance standards







Reading List Schwalbe, Kathy, “Information Technology Project Management” 5th Edition, 2007 Bob Hughes and Mike Cotterell: Software Project Management, 4th Edition, McGraw-Hill 2005 Elaine Marmel: Microsoft Office Project 2003 Bible, Wiley Publishing Inc. Basics of Software Project Management, NIIT, Prentice-Hall India, 2004 Software Project Management in Practice, Pankaj Jalote, Pearson Education, 2002 Software Project Management, A Concise Study, S.A. Kelkar, Revised Edition, Prentice-Hall India, 2003

Module name Human Computer Interaction Module level Undergraduate Code IF184601 Courses (if applicable) Human Computer Interaction Semester 6 Lecturer Hadziq Fabroyir, S.Kom., Ph.D. (PIC)

Ridho Rahman Hariadi, S.Kom., M.Sc. Siska Arifiani, S.Kom., M.Kom.











Design and Analysis Algorithm



CO1 Students are able to discuss why software development centered on users is important.


CO2 Students are able to develop and use modelling concept as well as feedbacks to analyze interactions between human and software.


CO3 Students are able to define design process that focuses on user.

CPL Prodi 3

CO4 Students are able to build a simple application including its user guide as well as documentation supporting user interaction.

CPL Prodi 3, CPL Prodi 4, CPL Prodi 8, CPL Prodi 9

CO5 Students are able to create and conduct a usability test to software that they have developed, to evaluate it quantitatively (utility, efficiency, easiness, and satisfaction rate), and to report it.


CO6 Students are able to report and discuss the development of the current trend of natural-user interfaces: Multi-touch based, gesture based, brain and muscle waves based interaction.

CPL Prodi 6, CPL Prodi 8, CPL Prodi 9

Content 1. Basic principles of human, computer, and interaction paradigm. 2. Basic principles of design process, modeling, and theory of

human ccomputer interaction (HCI). 3. Processes for user-centered development: early focus on users,

empirical testing, iterative design 4. Different measures for evaluation: utility, efficiency, learnability,

user satisfaction. 5. Physical capabilities that inform interaction

design: color perception, ergonomics. 6. Cognitive models that inform interaction design: attention,

perception and recognition, movement, and memory. Gulfs of expectation and execution.

7. Social models that inform interaction design: culture, communication, networks and organizations.

8. Principles of good design and good designers; engineering tradeoffs.

9. Accessibility: interfaces for differently-abled populations (e.g. blind, motion-impaired), interfaces for differently-aged population groups (e.g. children, 80+)

10. User interface standards 11. Help & documentation 12. Paper prototyping 13. GUI design principles 14. Assesment of current Natural User Interface technology.







Reading List

• Alan Dix, Janet E. Finlay, Gregory D. Abowd, and Russell Beale. Human-Computer Interaction (3rd Edition). Prentice-Hall, Inc., Upper Saddle River, NJ, USA. 2003.

• Johnson, Jeff. Designing with the mind in mind: Simple guide to understanding user interface design rules. Morgan Kaufmann, 2010.

• Wigdor, Daniel, and Dennis Wixon. Brave NUI world: designing natural user interfaces for touch and gesture. Elsevier, 2011.

• Donald A. Norman. The Design of Everyday Things: Revised and Expanded Edition. Basic Books, 2013.

Module name Network Programming Module level Undergraduate Code IF184602 Courses (if applicable) Network Programming Semester 6 Lecturer Tohari Ahmad, S.Kom, M.IT, Ph.D (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.




Teaching Methods Lecture, projects






Computer Networks



CO1 Students are able to understand and explain the concepts and principles of architecture, systems and the basics of computer networks based on logic systems.

PLO 2

CO2 Students are able to understand and explain the concepts and principles of network-based computing and the latest technology related to it.

PLO 7

CO3 Students are able to understand and explain the principles of making an algorithm and various programming language concepts.

PLO 2

CO4 Students are able to understand and explain the application of network-based programming models to solve problems effectively and efficiently.

PLO 6, PLO 7

Content 1. SOCKET PROGRAMMING TECHNIQUES: TCP socket, UDP socket, string manipulation, socket option, TLS/SSL.

2. APPLICATION LAYER PROTOCOL: HTTP, SMTP, IMAP, POP, FTP 3. INPUT/OUTPUT MECHANISMS: I/O Model, Blocking I/O, Non-

Blocking I/O, Signal Driven I/O, I/O Multiplexing, Asynchronous I/O.

4. DATA TRANSMISSION TECHNIQUES: Unicast, Broadcast, Multicast

Media employed LCD, whiteboard, websites, books (as references), etc. Assessments and Evaluation



The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments: 15% • Written Midterm assessment: 25% • Final written exam: 30%


Reading List • W. Richard Stevens, Bill Fenner, Andrew M. Rudoff,”Unix Network Programming Vol.1 3rd Edition”, Addision Wesley, 2003.

• Nathan Yocom, John Turner, Keir Davis,” The Definitive Guide to Linux Network Programming” ,Appress, 2004.Pustaka

• Elliotte Rusty Harold,” Java Network Programming 3rd Edition”, O'Reilly Media, 2004.

• Brandon Rhodes, John Goerzen, “Foundations of Python Network Programming”, Appress, 2013.

Module name Requirement Engineering

Module level Undergraduate Code IF184603 Courses (if applicable) Requirement Engineering Semester 6 Lecturer Daniel O. Siahaan, S.Kom. M,Sc, PD.Eng. (PIC)

Dr. Umi Laili Yuhana, S.Kom., M.Sc. Nurul Fajrin Ariyani, S.Kom., M.Sc. Ratih Nur Esti Anggraini, S.Kom, M.Sc.














CO1 Students understand and able to apply the technologies on requirements elicitation and discovery, scenario, requirements analysis, UML, requirements specification, SMART requirements, requirements validation and verification.

PLO3, PLO9

Content Depending on the chosen topics, subjects in this unit may consist of knowledge and technologies on requirements elicitation and discovery, scenario, requirements analysis, UML, requirements specification, SMART requirements, requirements validation and verification.







Reading List Daniel Siahaan, “Rekayasa Kebutuhan, “Penerbit Andi, 2012.

Module name Graph Theory and Automata Module level Undergraduate Code IF184604 Courses (if applicable) Graph Theory and Automata Semester 6 Lecturer Victor Hariadi, S.Si, M.Kom (PIC)

Arya Yudhi Wijaya, S.Kom.,M.Kom. Dr. Ahmad Saikhu, S,Si, MT.










Discrete Mathematics



CO1 Students are able to implement the graph structure into array or linked-list and implement graph-based algorithm.

PLO3

CO2 The students are having capability to applying some rules of defining languages, including some appropriate mathematical operations

PLO3

CO3 The students are having capability to understanding some language ‘s modelling using finite automaton and some similar machines.

PLO3

CO4 The students are having understanding the difference between determinism and non-

PLO3

determinism, and being able to operate some appropriate machines

CO5 The students are having understanding the roles, techniques, and mechanism of grammar in programming languages.

PLO4

CO6 The students are having capability to applying computability theory

PLO4

CO7 The students are having capability to applying complexity theory

PLO4

Content • Concepts of Graph: - Graph & Simple Graph, - Subgraph, - Vertex Degree, - Path & Connection, - Cycles, - Isomorphism, - Tree, - Directed Graph, - Cut Edge & Cut Vertex, - Spanning Tree, - Types of Digraph & Their Connections, - Fundamental Cycle, - Special Graphs.

• Graphical representation of the structure of arrays, list, dan Standard Template Library (STL) in C/C++.

• Optimization of The Graph: - Shortest Path, - Minimum Spanning Tree, - The Chinese Postman Problem, - The Travelling Salesman Problem, - Vehicle Routing Problem.

• Planar Graph: - Region, - Maximal Planar Graph, - Crossing Number, - Bipartite Graph, - Graph Colouring, - Chromatic Number.

• Theory and Application Matching for Graph.

• Theory and Application Network for Graph. • Language and Related Mathematical Operations:

- Language Terminology - Operations on Language - The Methods for Defining Language - Regular Expression - Problem (Pumping Lemma)

• Finite Automata - Deterministic Finite Automata (DFA) - Transition Graph - Automata with Output - Kleene Theorem - Non-Deterministic Finite Automata (NDFA) - DFA to NDFA Converting - Pushdown Automata (PDA)

• Grammar - Grammar - Derivation dan Parse Tree - Grammar Classification - Context-Free Language (CFL) - CFL Transformation - Computability Theory - Turing Machine - Non-Deterministic Turing Machine - Church-Turing Thesis - Decidability - Reducibility

• Computability Theory - Time Complexity for NP-Complete - Space Complexity for NP-Complete







Reading List Diestel, R., Graph Theory, 2000, Springer-Verlag Vasudev Graph Theory with Application, 2006, New Age International Publisher McHugh, J.A., Algorithmic Graph Theory, 1990, Prentice-Hall Inc. Liotta, G., Tamassia, R., Tollis, I., Graph Algorithms and Applications 2, 2004, World Scientific Pub. Introduction to the Theory of Computation, 3rd Edition, Cencage Learning, 2013 Automata, Computability, and Complexity: Theory and Applications, Pearson International Edition, 2009

Module name Framework Based Programming Module level Undergraduate Code IF184605 Courses (if applicable) Framework Based Programming Semester 6 Lecturer Fajar Baskoro, S.Kom., M.T. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; mandatory; 6th or 8th semester.

2. International undergraduate program; mandatory; 6th or 8th

semester.










After completing this module, a student is expected to: PLO7

CO1 Students are able to explain the basic concepts of framework design.

PLO7

CO2 Students are able to explain the differences between traditional software development and framework-based software development.

PLO7

CO3 Students are able to explain several types of frameworks in different domains

PLO7

CO4 Students are able to identify the advantages and disadvantages of using the framework

PLO7

CO5 Students are able to identify a framework in accordance with the problems and / or needs of the user

PLO7

CO6 Students are able to identify limitations in framework-based software development.

PLO7

CO7 Students are able to design software designs by considering the framework.

PLO7, PLO9

CO8 Students are able to implement software using several frameworks

PLO7, PLO9

CO9 Students are able to add new functionality to a framework (extension).

PLO7, PLO9

Content 1. Basic concept of framework; framework design methodology; principle of abstraction; differences between library and framework.

2. DRY (don’t repeat yourself) principle; simple case study on software development without framework (from scratch); simple case study on software development using framework.

3. Frameworks on web platforms; frameworks on mobile platforms; frameworks on game platforms; frameworks on desktop platforms.

4. Framework trade-offs on speed, line of code, learning curve, reduced flexibility, performance of software.

5. Establish a software project and identify suitable frameworks based on requirement definition and software design.

6. Reviewing framework documentation; analyzing constraints on selected frameworks.

7. Minimizing overlap among frameworks on a software; optimizing the use of several frameworks altogether; code writing convention; several software architecture adapted in framework design.

8. Analyzing extension points in a framework; adding new functionality that is not provided by the exisiting framework on a context of software being done.


Mid-terms examination and Final examination.






Reading List Cwalina, K., Abrams, B., “Framework Design Guidelines: Conventions, Idioms, and Patterns for Reusable .NET Libraries 2nd Edition”, Addison- Wesley, Boston, 2008 McConnell, S., “Code Complete: A Practical Handbook of Software Construction, 2nd Edition”, Microsoft Press, Redmond, 2004

Module name Information and Network Security Module level Undergraduate Code IF184701 Courses (if applicable) Information and Network Security Semester 7 Lecturer Tohari Ahmad, S.Kom, M.IT, Ph.D (PIC)

Baskoro Adi P., S.Kom.,M.Kom. Wahyu Suadi, S.Kom, M.Kom.





Teaching methods Lecture, lab works, projects






Computer Networks



CO1 Students understand and are able to apply the basic concepts of security, basics of encryption, encryption algorithm, data integrity, and secure coding.

PLO 2, PLO 9

Content 1. BASIC CONCEPT OF SECURITY: security property (confidentiality, integrity, availability, etc.)

2. BASIC OF ENCRYPTION: Number theory. 3. ENCRYPTION ALGORITHM: Classic encryption, block, stream,

symmetric, asymmetric. 4. DATA INTEGRITY: Hash function, Message Authentication

Code, Digital Signature, Digital Certificate, Public Key Infrastructure

5. SECURE CODING: String vulnerability, buffer overflow, SQL injection, dynamic memory management, etc.

Media employed LCD, whiteboard, websites, books (as references), online meetings, etc.





Reading List Elementary Linear Algebra; Howard Anton, Drexel University, John Wiley & Sons, Inc; ninth edition, 2005 Elementary Linear Algebra - Applications Version; Howard Anton, Chris Rorres; John Wiley & Sons, Inc; ninth edition, 2005

Module name Undergraduate Pre-Thesis Module level Undergraduate Code IF184702 Courses (if applicable) Undergraduate Pre-Thesis Semester 7 Contact person Ary Mazharuddin, S.Kom, M.Comp.Sc, PhD Lecturer Ary Mazharuddin, S.Kom, M.Comp.Sc, PhD Language Bahasa Indonesia and English Relation to curriculum • Undergraduate degree program; compulsory; 7th semester.

• International undergraduate program; compulsory; 7th semester.


• Undergraduate degree program: Lectures, < 250 students • International undergraduate program: Lectures, < 200 students

Workload • Lectures: 3 x 50 = 150 minutes (2 hours 30 minutes) per week. • Exercises and Assignments: 2x60=120 minutes (2 hours) per week. • Private study:2 x 60 = 120 minutes (2 hours) per week.




Student has passed Evaluation I and II



CO1 Students are able to explain a proposed solution for certain case study

PLO9, PLO10

Content In this course, students will study and implement the stages in conducting research. Students learn to make Final Project proposals and make research documentation in the form of Final Project reports


• Quiz 1 and 2 • Assignment 1, 2, 3 • Mid-term examination • Final examination

Media employed LCD, whiteboard, PC, websites, books (as references), etc.


Observation from Supervisor, Final Project Seminar, Scientific writing (Final Project Book)


The final grade in the module is composed of: 1. Quiz 1 and 2 : 2 x 10% = 20% 2. Assignment 1, 2, 3: 3 x 5% = 15% 3. Mid-term examination: 30% 4. Final examination: 35%


Reading List 1. Guidelines for Writing Final Project Book

Module name Internship Module level Undergraduate Code IF184801 Courses (if applicable) Internship Semester 8 Contact person Ary Mazharuddin, S.Kom, M.Comp.Sc, PhD Lecturer Ary Mazharuddin, S.Kom, M.Comp.Sc, PhD Language Bahasa Indonesia and English Relation to curriculum • Undergraduate degree program; compulsory; 7th, or 8th

semester. • International undergraduate program; compulsory; 7th, or 8th

semester. Type of teaching, contact hours

• Undergraduate degree program: supervised practical working/internship, < 250 students,

• International undergraduate program: supervised practical working/internship, < 200 students

Workload supervised practical working/internship (8 hours/day) during 1 or 2 months


1. Internship must be done in an institution/working unit.


-



CO1 Students are able to apply Internship in some cases. PLO8, PLO9, PLO10

Content In this course, students will study and implement the stages in solving problems of the real case study. Students learn to apply their knowledge and make project documentation in the form of an internship report.

Media employed LCD, PC, whiteboard, websites, books (as references), etc. Assessments and Evaluation

Final project presentation which will be evaluated by internal (BIP) and external supervisors.


The final grade in the module is composed of: • Discipline and attendance: 10% • Daily assignments: 20% • Final oral exam: 30% • Final report: 40%


Reading List G. L. McDowell, Cracking the Coding Interview: 189 Programming

Questions and Solutions. CareerCup, LLC, 2015.

Module name Undergraduate Thesis Module level Undergraduate Code IF184802 Courses (if applicable) Undergraduate Thesis Semester 8 Contact person Ary Mazharuddin, S.Kom, M.Comp.Sc, PhD Lecturer Ary Mazharuddin, S.Kom, M.Comp.Sc, PhD Language Bahasa Indonesia and English Relation to curriculum • Undergraduate degree program; compulsory; 7th, or 8th semester.

• International undergraduate program; compulsory; 7th, or 8th semester.


• Undergraduate degree program: Supervised research activity, < 250 students,

• International undergraduate program: Supervised research activity, < 200 students

Workload Supervised research activity: 4 x 50 = 200 minutes (3 hours 20 minutes) per week.


1. A student must have obtained an EFL score ≥ 477. 2. A student must have submitted a revised version of Final Project

Proposal


A student must have completed a minimum study load of 118 SKS (including compulsory activities credits in semester 3 to semester 6 and have passed 2 credits of Pre-Final Project course) with an achievement index ≥ 2.0 without an E grade and without a D grade for certain subjects.



CO1 Students are able to apply undergraduate Thesis in some case studies

PLO9, PLO10

Content In this course, students will study and implement the stages in conducting research. Students learn to do research in the form of a Final Project and make research documentation in the form of a Final Project report.


• Observation from Supervisor • Final Project Seminar • Scientific writing (Final Project Book)

Media employed LCD, whiteboard, PC, websites, books (as references), etc. Assessments and Evaluation

Observation from Supervisor, Final Project Seminar, Scientific writing (Final Project Book)


The final grade in the module is composed of: 1. Observation from Supervisor: 30% 2. Final Project Seminar: 30% 3. Scientific writing (Final Project Book): 40%


Reading List 2. Guidelines for Writing Final Project Book 3. Curriculum Team of Bachelor Of Informatics Program,

Department of Informatics, ITS.

Wawasan dan Aplikasi Teknologi (WASTEK) Insights and Applications of Technology (IAT)

Program Studi / Name of Study Program

Mata Kuliah Wajib Umum / General Compulsory Course

Mata Kuliah / Course Wawasan dan Aplikasi Teknologi (WASTEK) / Insights and Applications of Technology (IAT)

Kode MK / Course Code UG184916 Semester ➢ 5 Sks / Credits 3 SKS Dosen Pengampu / Lecturer Tim Dosen WASTEK / Lecturer Team on Insight and Application of

Technology (IAT)

Bahan Kajian:

Course Materials:

Adapun materi dari mata kuliah Wawasan dan Aplikasi Teknologi adalah

1. Pengantar, RPS, Sillabus WASTEK, Teori Sistem dan Berpikir Sistemik

2. Pengetahuan Roadmap Riset ITS dan Nasional 3. Konsep SDGs (Sustainable Development Goals) 4. Pengantar dan Pengetahuan Science Technopark

(STP) 5. Konsep dan Pengetahuan Kreatif, Inovatif 6. Teknologi Open Source 7. Konsep Proposal Program Kreatif Mahasiswa (PKM)

The material from the Technology Insights and Applications course are

1. Introduction, RPS, Sillabus WASTEK, Systems Theory

and Systemic Thinking 2. ITS and National Research Roadmap Knowledge

3. The concept of SDGs (Sustainable Development

Goals) 4. Introduction to Science and Technopark Knowledge

(STP) 5. Creative, Innovative Concepts and Knowledge 6. Open Source Technology 7. Concept of Student Creative Program Proposal (PKM)

Learning Outcomes

1. Mampu bekerjasama dan memiliki kepekaan sosial, serta kepedulian terhadap masyarakat dan lingkungan,

2. Mampu menerapkan pemikiran logis, kritis, sistematis, dan inovatif dalam konteks pengembangan atau implementasi ilmu pengetahuan dan teknologi yang memperhatikan dan menerapkan nilai humaniora yang sesuai dengan bidang keahliannya

3. Mampu menggunakan Aplikasi Teknologi untuk pengembangan atau implementasi ilmu pengetahuan teknologi berdasarkan kaidah, tata cara dan etika ilmiah dalam rangka menghasilkan solusi, dan gagasan

4.

Mampu menyusun Laporan akhir/Proposal atau proyek riset/inovasi/Program Kreatifitas Mahasiswa (PKM).

1. Able to cooperate and have social sensitivity, as well

as concern for the community and the environment, 2. Able to apply logical, critical, systematic, and

innovative thinking in the context of developing or

implementing science and technology that pays

attention to and applies humanities values in

accordance with their field of expertise 3. Able to use Technology Applications for the

development or implementation of scientific

technology based on scientific principles, procedures

and ethics in order to produce solutions and ideas. 4. Able to compile final reports / proposals or research /

innovation projects / Student Creativity Program

(PKM).

Capaian Pembelajaran Mata Kuliah (CPMK)

Course Learning Outcome (CLO)

1.

2.

3.

Mampu Berfikir secara Sistematis dalam menyelesaikan permasalahan umum dengan baik dan benar Mahasiswa Mampu mendayagunakan Pusat-Pusat penelitian baik lokal maupun nasional dengan Aplikasi Teknologi Mampu memiliki wawasan konservasi terhadap sumber daya alam dan manusia dalam menerapkan ilmu pengetahuan dan teknologi untuk kepentingan

Pembangunan Berkelanjutan dengan Teori dan Konsep SDG’s.

4.

Mampu menyelesaikan pembuatan Proposal Program Kreativitas Mahasiswa (PKM) dan program sejenis dalam menyiapkan project based inovasi beserta Luaran Proposal PKM (Artikel , Poster dan Video).

1.

Able to think systematically in solving general

problems properly and correctly 2. Students Able to utilize research centers both local

and national with technology applications 3. Able to have insight into the conservation of natural

and human resources in applying science and

technology for the benefit of Sustainable

Development with SDG Theory and Concept. 4.

Able to complete the making of Student Creativity

Program (PKM) Proposals and similar programs in

preparing innovation-based projects along with PKM

Proposal Outputs (Articles, Posters and Videos). Bobot Penilaian /Assess-ment Load (%):

1. Evaluasi 1 / Evaluation 1 : 10 % ( tugas Individu / Individual task ) 2. Evaluasi 2 / Evaluation 2 : 20 % (UTS / Midterm exam) 3. Evaluasi 3 / Evaluation 3 : 30 % (Pembuatan Proposal PKM / PKM Proposal) 4. Evaluasi 4 / Evaluation 4 : 10 % (Pembuatan Artikel PKM / PKM Article) 5. Evaluasi 5 / Evaluation 5 : 10 % (Pembuatan Poster PKM / PKM Poster) 6. Evaluasi 6 / Evaluation 6 : 20% (Pembuatan Video PKM / PKM Video)

Pustaka / References :

Utama / Main:

1. Akhmad Hidayatno, “BERPIKIR SISTEM”, Pola Pikir Untuk Pemahaman Masalah Yang Lebih baik. 2016. Universitay of Indonesia.

2. Buku Tim Pengembang Mata Kuliah Wawasan Teknologi dan Komunikasi Ilmiah , “Wawasan Teknologi & Komunikasi Ilmiah”, ITS Press, Surabaya, 2015.

3. Alfred Watkins and Michel Ehst, “Science, Technology and Innovation: Capacity Building for Sustainable Growth and Poverty Reduction”, The International Bank for Reconstruction and Development, Washington DC, 2008.

4. Frieder Meyer Krahmer, “Innovation and Sustainable Development-Lesson for Innovation Policies, “ A Springer-Verlag Company, Heidelberg, 1998.

5. Buku : ARAHAN Pelaksanaan Tujuan Pembangunan Berkelanjutan/SDGsTeam Leader Sekretariat SDGs Kementerian PPN/Bappenas, 1 Februari 2018, Alamat Kontak: Website : sdgs.bappenas.go.id

Module name Mobile Device Programming Module level Undergraduate Code IF184901 Courses (if applicable) Mobile Device Programming Semester 7 Lecturer Dwi Sunaryono, S.Kom., M.Kom. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; optional; 7th semester.

2. International undergraduate program; optional; 7th semester.












CO1 Students have an understanding of mobile device programming, are able to implement various platforms on mobile devices, are able to use JavaScript, AJAX on mobile devices and use standard templates, are able to create mobile web pages on smartphone browsers, are able to use bandwidth saving techniques, are able to use bandwidth saving techniques

PLO7, PLO9

Content Android basics: building hello world application, adding the Action Bar, supporting different devices, managing the activity lifecycle, building a dynamic UI with fragments, saving data. Content sharing: sharing simple data, sharing files. Multimedia: managing audio playback, capturing photos. Connectivity: performing network operations, syncing to the cloud.






Reading List Beginning Smartphone Web Development, Gail Rahn Frederick with Rajesh Lal, Appress, 2009 Hello, Android, Introducing Google’s, Mobile Development Platform, 2nd Edition, Ed Burnette, The Pragmatic Bookshelf, Raleigh, North Carolina Dallas, Texas, 2009

Module name Algorithm Analysis Development Module level Undergraduate Code IF184902 Courses (if applicable) Algorithm Analysis Development Semester 6 Lecturer Rully Sulaiman, S.Kom., M.Kom. Language Bahasa Indonesia dan English Relation to curriculum 1. Undergraduate degree program; optional; 6th semester.










Design and Analysis Algorithm



CO1 Students are able to analyse and design algorithm correctly and efficiently

PLO7, PLO9

Content 1. Algorithm and complexity 2. Design and analysis of algorithm with divide and conquer

paradigm: Binary search algorithm, Non-classical dynamic programming , Greedy algorithm

3. Representation of several advance data structures that related to dynamic programming: Tree segment structure (range min/max query, range sum query) and lazy propagation, Fenwick Tree (binary indexed tree), Splay tree

4. Design and analysis of algorithms in graph structures: Minimum spanning tree, All pair shortest path and single source shortest path, Strongly connected component, topological sort and 2-SAT problem, Maximum flow, minimum cut, and bipartite matching


Mid-terms examination and Final examination.

Media employed LCD, whiteboard, websites, books (as references), online meeting etc. Assessments and Evaluation



Reading List • Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, “Introduction to Algorithms Third Edition”, MIT Press, 2009

• Levitin, Anany, “Introduction to The Design & Analysis Af algorithms 3rd ed”, Addison-Wesley, 2012

• Robert Sedgewick, Kevin Wayne, Algorithms, 4th Edition, Addison Wesley, 2011

• Stephen Halim, Felix Halim, Competitive Programming, 3rd Edition, NUS School of Computing, 2013

Module name Interface Programming Module level Undergraduate Code IF184903 Courses (if applicable) Interface Programming Semester 6 or 8 Lecturer Bilqis Amaliah, S.Kom, M.Kom (PIC)

Yudhi Purwananto, S.Kom, M.Kom Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; mandatory; 6th, or 8th semester.

2. International undergraduate program; mandatory; 6th, or 8th semester.












Students understand the concepts and applications of interface programming

PLO1

Students understand the concepts of interfaces with various platforms

PLO1, PLO6, PLO7

Students are able to create interface program in a DBMS or noSQL, both individually and in teamwork

PLO6, PLO7, PLO8, PLO9, PLO10

Students are able to make interface programs in multuplatform

PLO6, PLO7, PLO8

Content 1. Introduction to programming interface 2. Creating simple interface programs with CRUD and libraries 3. PHP-python interface program introduction 4. Using Postman-PHP-python 5. Creating a process with PHP-python 6. Learn Python-Machine Learning 7. Learn Server Settings 8. Python-Machine Learning Communication 9. Simple Object Recognition Case Study with Python-PHP-based

Machine Learning 10. Case Study of Face Detection Recognition with Python-PHP-based

Machine Learning 11. Case Study Introduction of General Image Detection with Python-

PHP-based Machine Learning 12. Case Study Introduction of General Text Detection with Python-

PHP-based Machine Learning 13. Application Testing with Postman-PHP-python-Machine Learning 14. Introduction to Parallel Processes in Machine Learning Models 15. Deployment using Flask

Media employed LCD, whiteboard, websites, books (as references), online meeting etc. Assessments and Evaluation





Reading List • Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, “Introduction to Algorithms Third Edition”, MIT Press, 2009

• Levitin, Anany, “Introduction to The Design & Analysis Af algorithms 3rd ed”, Addison-Wesley, 2012

• Robert Sedgewick, Kevin Wayne, Algorithms, 4th Edition, Addison Wesley, 2011

• Stephen Halim, Felix Halim, Competitive Programming, 3rd Edition, NUS School of Computing, 2013

Module name Wireless Network Module level Undergraduate Code IF184911 Courses (if applicable) Wireless Network Semester 7 Lecturer Dr. Eng. Radityo Anggoro, S.Kom, M.Eng.Sc (PIC) Language Bahasa Indonesia dan English Relation to curriculum 1. Undergraduate degree program; elective.

2. International undergraduate program; elective.









Computer Networks



CO1 The students are able to apply concepts to various wireless network architectures to improve performance and provide solutions to wireless network problems.

PLO 2

Content 1. Introduction of Wireless LAN and Cellular Network. 2. Antenna and Spectrum 3. Wireless LAN infrastructures 4. Wireless LAN standards 5. 802.11 architectures 6. Medium Access Control and Physcal Layer 7. Troubleshooting of wireless LAN 8. Security of Wireless LAN 9. Mobile Adhoc Network, Wireless Sensor Network 10. Adhoc network and Routing 11. Mobile IP concept 12. Mobile Transport Layer




The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments: 15% • Written Midterm assessment: 25% • Final oral exam: 30% Students must have a final grade of 55.6% or higher to pass.

Reading List 1. Coleman, D., Westcott, D., “CWNA: Certified Wireless Network Administrator Official Study Guide”, Wiley Publishing Inc., 2009.

2. Schiller, J.H., “Mobile Communications 2nd Edition”, Addison- Wesley, 2004.

3. Stallings, W., “Wireless Communications and Networking 2nd Edition”, Prentice Hall, 2004.

4. James F. Kurose and Keith W. Ross, Komputer Networking: A Top-Down Approach, 7th Edition, Addison Wesley, 2013.

Module name Internetworking Technology Module level Undergraduate Code IF184912 Courses (if applicable)

Internetworking Technology

Semester 7 Lecturer Ir. Muchammad Husni, M.Kom (PIC)

Bagus Jati Santoso, S.Kom., Ph.D. Language Bahasa Indonesia dan English Relation to curriculum

1. Undergraduate degree program; elective. 2. International undergraduate program; elective.









Computer Networks



CO1 Students understand the concept of internetworking technology. Students are able to apply the internetworking technology including static routing, dynamic routing, setting up LAN and VLAN.

PLO 2

Content Introduction to Inter-Networking Technologies: Understanding the purpose of lecturein networks technology, learning organization, Components & Evaluation Form; Subnetting & Static Routing: IP, CIDR, VLSM, NAT, Static Routing, CISCO IOS; Switching Layer 2: Switching services, Spanning Tree protocol, LAN Switch; Kinds of Dynamic Routing: Distance Vector Routing, Link State Routing; Virtual LANs: VLAN, VLAN Trunking Protocol, VLAN  Routing, Configuration; Virtual Private Network: VPN, Configuration; Routing Information Protocol: RIPv1, RIPv2; Interior Gateway Routing Protocol: IGRP Timers, Configuration; Enhanced IGRP: Features, Neighbour Discovery, RTP, DUAL, AS; OSPF and IS-IS: Algorithms, Configuration; IP Traffic Engineering: Traffic, Network Flow Optimization, Shortest Path Routing and Network Flow, MCNF Duality; Border Gateway Protocol: Algorithms, Message Formats, Operations, Configuration; Internet Routing Architecture: Illustration, Architectural View of the Internet, Allocation of IP Prefixes and AS Number; Quality of Service Routing: QOS Attributes, Shortest Path and widest Path Routing, Source-based QOS Routing, QOSPF; IPv6: Terminology, Packet Format, Difference with IPv4, IPv4 to IPv6 Tunnelling PREREQUISIT 




The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments : 15% • Written Midterm assessment: 25% • Final oral exam: 30% Students must have a final grade of 55.6% or higher to pass.

Reading List 1. Todd Lammle, CCNA Study Guide, Third Edition, 2002 2. Deepankan Medhi, Karthikeyan Ramasamy, Network Routing Algorithms, Protocols, and Architectures, 2007

Module name System and Network Security Design Module level Undergraduate Code IF184913 Courses (if applicable) System and Network Security Design Semester 8 Lecturer Bagus Jati S, PhD (PIC)

Ir. Muchammad Husni, M.Kom. Language Bahasa Indonesia dan English Relation to curriculum 3. Undergraduate degree program; elective.




Teaching Methods Lecture, lab works, projects






Information and Network Security



CO1 The students are able to design computer systems and networks with the smallest possible security risk. Based on these concepts, students are able to apply them, both individually and in groups in teams

PLO 2, PLO 9

Content 1. SECURITY OF SOFTWARE: Email Security, User authentication Protocol (Kerberos, RADIUS, etc), and Web Application Firewall.

2. MALICIOUS SOFTWARE ANALYSIS: Intrusion Detection System, Honeypot, Malware Analysis.

3. NETWORK SECURITY: Routing Protocol, VPN, IPSec






Reading List • Intrusion Detection Networks: A Key to Collaborative Security by Carol Fung and Raouf Boutaba (Nov 19, 2013)

• Cryptography and Network Security: Principles and Practice (6th Edition) by William Stallings (Mar 16, 2013).

• Network and System Security, Second Edition by John R. Vacca (Sep 23, 2013).

• Network Security Essentials: Applications and Standards (4th Edition) by William Stallings (Mar 22, 2010).

• Information Security The Complete Reference, Second Edition by Mark Rhodes-Ousley (Apr 3, 2013)

Module name IoT Technology Module level Undergraduate Code IF184914 Courses (if applicable)

IoT Technology

Semester 8 Lecturer Ir. Muchammad Husni, M.Kom (PIC) Language Bahasa Indonesia and English Relation to curriculum




Teaching Methods Lecture, lab works, projects






Computer Networks



CO1 Provides knowledge and implementation of wireless sensor networks and uses computational tools that are physical, in the sense of developing a wider variety of computer devices that can be used in the physical environment.

PLO 2, PLO 9

CO2 Knowing the dispersed technological developments and designed to operate harmoniously in the human and social environment.

PLO 2, PLO 9

Content 1. Ubiquitous Computing: Basics and Vision, Modelling the Key Ubiquitous Computing, Ubiquitous System Environment Interaction, Architectural Design for UbiCom Systems: Smart DEI Model; Smart Devices and Services: Service Architecture Models, Service Provision Life Cycle, Virtual Machines and Operating Systems;

2. Human–Computer Interaction: User Interfaces and Interaction for Four Widely Used Devices, Hidden UI Via Basic Smart Devices; Tagging,

3. Sensing and Controlling: Tagging the Physical World, Sensors and Sensor Networks, Micro Actuation and Sensing: MEMS, Embedded Systems and Real Time Systems, Control System and Robots;

4. Context-Aware Systems: Modelling Context Aware Systems, Mobility Awareness, Spatial Awareness, Temporal Awareness: Coordinating and Scheduling, ICT System Awareness.

5. Intelligent Systems (IS): Basic Concepts, IS Architectures, Semantic Knowledge Based IS, Classical Logic IS, Soft Computing IS Models, IS System Operations.

6. Ubiquitous Communication: Audio Networks, Data Networks, Wireless Data Networks.

7. Management of Smart Devices: Managing Smart Devices in Virtual Environments, Managing Smart Devices in Human User Centred Environments, Managing Smart Devices in Physical Environments





The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments: 15% • Written Midterm assessment: 25% • Final oral exam: 30%


Reading List Stefan Poslad, Ubiquitous Computing Smart Devices, Environments, and Interaction, JohnWiley&Sons, Ltd., 2009 Frank Adelstein, Sandeep K. S. Gupta, Golden G. Richard III, Loren Schwiebert, Fundamentals of Mobile and Pervasive Computing, McGraw-Hill, 2005

Module name Modelling and Simulation Module level Undergraduate Code IF184921 Courses (if applicable) Modelling and Simulation Semester 8 Lecturer Prof. Dr. Ir. Joko Lianto Buliali, M.Sc (PIC)

Dr. Ahmad Saikhu, S,Si, MT. Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.









Probability and Statistics



CO1 Students can apply concept & procedure in creating simulation model of a real system which performance efficiency is under study.

PLO3

CO2 Students can run a simulation model. PLO3

CO3 Students can draw conclusion on efficiency based on the analysis of simulation output.

PLO3

CO4 Students can develop alternative system and compare performance based on the output of simulation run and the output of the real system.

PLO3

CO5 Students are able to work individually and in a group.

PLO9

Content • Modelling and Simulation Concepts • Modelling and Simulation Relationship • Probability Distribution and Visualization in Modelling and

Simulation • Input Modelling • Output Analysis • Creating Simulation Model Using Simulation Tool







Reading List • Banks, J., John S. Carson II, "Discrete-Event System Simulation", Prentice Hall, 2009. • Law, A., "Simulation Modelling and Analysis", McGraw-Hill, 2006.

Module name Multivariate Data Analysis Module level Undergraduate Code IF184922 Courses (if applicable) Multivariate Data Analysis

Semester 6 Lecturer Prof. Dr. Ir. Joko Lianto Buliali, M.Sc (PIC)

Dr. Ahmad Saikhu, S,Si, MT.

Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.









Probability and Statistics



Students can explain the differences in univariate and multivariate analysis.

PLO 3

Students can use a variety of appropriate multivariate modelling analysis purposes.

PLO 4

Students can analyse the results of the multivariate data processing.

PLO 5

Students can use multivariate statistical data processing software.

PLO 4

Content • The Basic Concept of Multivariate Data, • Multivariate Algebra • Multivariate Normal Mapping Techniques • Univariate and Multivariate, • Multivariate Data Exploration / Descriptive Multivariate Analysis • Multiple Dependent Models: MANOVA, PCA, Canonical Analysis. • Classification and Grouping: Cluster Analysis, Discriminant

Analysis. • Data Reduction Techniques: Factor Analysis. • Perceptual Mapping: Multidimensional Scaling, Correspondence

Analysis, Conjoint Analysis. • Structural Equation Modelling: The Use of Tools







Reading List Barbara G. Tabachnick, Linda S. Fidell, “Using Multivariate Statistics”, 5th Edition, Pearson International Edition, 2007.

Joseph F. Hair, Jr., William C. Black, “Multivariate Data Analysis”, 7th Edition, Pearson International Edition, 2010.

Richard A. Johnson, Dean W. Wichern, “Applied Multivariate Statistical Analysis”, Prentice Hall International Inc., 2007.

Module name Research Operation Module level Undergraduate Code IF184923 Courses (if applicable) Research Operation Semester 7 Lecturer Dr. Bilqis Amaliah, S.Kom, M.Kom (PIC)

Yudhi Purwananto, S.Kom, M.Kom Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.









Linear Algebra



CO1 Students are able to solve a linear program using the simplex method.

PLO3

CO2 Students are able to perform a sensitivity analysis in linear programming

PLO3

CO3 Students are able to solve the problem of duality. PLO3

CO4 Students are able to solve the problem of transportation.

PLO3

CO5 Students are able to resolve network problems. PLO4

CO6 Students are able to solve the problem of integer programming.

PLO4

CO7 Students are able to implement the above sub-topics into the program

PLO4

Content - Linear Program Modelling (LP): - LP Model with 2 Variables, - PL Solution using Graphs, - LP Solution using Excel Solver and TORA.

- Simplex Method and Sensitivity Analysis: - Equation Model PL, - Transition from Graph to Algebraic Solution, - M-method and Two-phase Method continued with Sensitivity

Analysis. - Duality dan Post-Optimal Analysis:

- Definition of The Dual Problem - Relationship Between The Primal and The Dual - Economic Interpretation of Duality - Additional Simplex Algorithm - Additional Post-Optimal Analysis

- Transport Model and Variants: - Definition of The Transport Models - Non-traditional Transportation Models - Algorithms And Models of Transport Assignments

- Network Model: - Scope And Definition of The Network Model, - Minimum Spanning Tree Algorithm, - Shortest Route Problem, - Maximal Flow Models, - CPM - PERT.

- Integer Linear Programming; - Illustrative Examples of Applications, - Integer Programming Algorithm - Traveling Salesmen.


The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments: 15% • Written midterm assessment: 25%

• Final oral exam: 30%





Reading List Operation Research; Hamdy A. Taha, University of Arkansas, Prentice Hall; Eight Edition, 2007.

Module name Game Development Techniques Module level Undergraduate Code IF184931 Courses (if applicable) Game Development Techniques Semester 7 Lecturer Imam Kuswardayan, S.Kom., MT (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Human and Computer Interaction



CO1 Students able to classify games based on genre, theme and rate

PLO 4

CO2 Students able to create a game design document (GDD)

PLO 4

CO3 Students with team able to develop a game with or without middleware

PLO 4, PLO 9

Content Game theory, game development process, game design document, interface design for game, game middleware, edutainment, theory of fun.






Reading List • Arnest Adam, “Fundamentals of Game Design”, New Riders Press, 2nd Edition 2010

Module name Virtual Reality and Augmentation Module level Undergraduate Code IF184932 Courses (if applicable) Virtual Reality and Augmentation Semester 7 Lecturer Dr.Eng. Darlis Heru Murti, S.Kom., M.Kom (PIC) Language Bahasa Indonesia dan English Relation to curriculum 1. Undergraduate degree program; elective.










Human and Computer Interaction.



CO1 Students are able to fully understand the theory of Virtual Reality (VR) and Augmented Reality(AR) : hardware and software.

PLO 4

CO2 Students are able to design and develop basic virtual environment, able to implement a good manner of interaction, and able to do modeling.

PLO 4

CO3 Students are able to develop 3 dimensional VR and AR.

PLO 4

CO4 Students are able to work and communicate effectively both individually and in groups

PLO 9

Content 1. In-game computing, simulation games, multiplayer games, social games, economy games






Reading List • Grigore, C Burdea & Philippe, Coiffet, “Virtual Reality Technology”, Wilye Interscience, 2003.

• William R. Sherman, Alan B.Craig, “Understanding Virtual Reality”, Morgan-Kaufmann, Inc., 2003.

Module name Game System Module level Undergraduate Code IF184933 Courses (if applicable) Game System Semester 7 Lecturer Imam Kuswardayan, S.Kom., MT (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Human Computer Interaction



CO1 Students can explain various aspects to develop a complex game.

PLO 4

CO2 Students can explain computation in games, multiplayer games, social games, simulation games and game economy.

PLO 4

CO3 Students able to develop a game with one or more aspects of computation, network, simulation or social.

PLO 4

CO4 Students are able to work and communicate effectively both individually and in groups.

PLO 9

Content 1. Game computation, simulation game, multiplayer game, social game, game economy.






Reading List • Social Game Design, Monetization Methods and Mechanics, Tim Fields 2012

• Theory of Fun for Game Design, Ralph Koster, 2nd Edition Nov 2013

• David Michael, “Serious Games, Games that Educate, Train and Inform”, Thomson Course Tech, Canada, 2005

Module name Computer Animation and 3D Modeling Module level Undergraduate Code IF184934 Courses (if applicable) Computer Animation and 3D Modeling Semester 8 Lecturer Siska Arifiani, S.Kom., M.Kom. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Computer Graphics



CO1 Students are able to explain the basic concepts of computer animation. PLO 4, PLO 9

CO2 Students are able to explain theory of polygonal meshes. PLO 4, PLO 9

CO3 Students are able to create polygon-based model using graphics programming tools. PLO 4

CO4 Students are able to explain techniques of basic animation. PLO 4, PLO 9

CO5 Students are able to apply the basic animation techniques using graphic programming tools.

PLO 4

CO6 Students are able to explain advanced animation techniques. PLO 4, PLO 9

CO7 Students are able to apply the advanced animation techniques using C++ and API. PLO 4

Content 1. Theory of computer animation, Polygonal Meshes, Basic animation techniques, Advanced animation techniques: physical-based simulation, physically-based character simulation.






Reading List • Jeri R. Hanly, Elliot B. Koffman, Problem Solving and Program Design in C, 7th edition, Addison Wesley, 2012.

• Thomas H. Cormen, Charles E.Leiserson, Ronald L. Rivest, Introduction to Algorithms, McGraw-Hill, 2003.

Module name Intelligent Game Module level Undergraduate Code IF184935 Courses (if applicable) Intelligent Game Semester 6 Lecturer Dr.Eng. Darlis Herumurti, S.Kom., M.Kom. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.



1. Undergraduate degree program: lectures, < 60 students, 2. International undergraduate program: lectures, < 40

students Teaching Method Lecture, lab works, project






Human Computer Interaction



CO1 Students understand and able to apply game computation, simulation game, multiplayer game, social game, game economy.

PLO 4

CO2 Students are able to work and communicate effectively both individually and in groups

PLO 9

Content 1. Game computation, simulation game, multiplayer game, social game, game economy.







Reading List • Social Game Design, Monetization Methods and Mechanics, Tim Fields 20124

• Theory of Fun for Game Design, Ralph Koster, 2nd Edition Nov 2013

• David Michael, “Serious Games, Games that Educate, Train and Inform”, Thomson Course Tech, Canada, 2005

Module name Multimedia Network Module level Undergraduate Code IF184941 Courses (if applicable)

Multimedia Network

Semester 8 Lecturer Henning Titi Ciptaningtyas, S.Kom, M.Kom (PIC) Language Bahasa Indonesia dan English Relation to curriculum










Computer Network



CO1 The students are able to apply concepts & procedures in sending multimedia data (text, images, sound, and video) in the network optimally and safely both individually and in groups in teamwork.

PLO 2, PLO 9

Content 1. Basic multimedia: text, image, audio, video. 2. Multimedia representation and multimedia compression. 3. Multimedia network 4. Multimedia distribution 5. Multimedia security






Reading List • Henning Titi Ciptaningtyas,”Bahan Ajar Jaringan Multimedia”,http:\\share.its.ac.id,2013, IF-ITS. • Jeniq-Neng Hwang, “Multimedia Networking From Theory to Practice”, Cambridge, 2013. ISBN 9780521882040. • Ze-Nian Li and Mark. S. Drew, “Fundamentals of Multimedia”, Prentice-Hall, 2003. ISBN 0130618721. • W.C. Hardy,”QoS Measurement and Evaluation of Telecommunications Quality of Service”, Wiley, 2001. ISBN 0470845910.

Module name Cloud Computing Module level Undergraduate Code IF184942 Courses (if applicable)

Cloud Computing

Semester 7 Lecturer Dr. Eng. Royyana Muslim I, S.Kom, M.Kom (PIC)

Bagus Jati Santoso, S.Kom., Ph.D. Language Bahasa Indonesia and English Relation to curriculum




Teaching methods Lecture, projects






Computer Network



CO1 Students can explain and understand the characteristics of cloud computing.

PLO 2

CO2 Students can explain and apply the concept of multitenancy in cloud computing.

PLO 2, PLO 9

CO3 Students can explain and apply delivery models in cloud computing.

PLO 2, PLO 9

CO4 Students can apply cloud computing technology on a small scale.

PLO 2, PLO 9

CO5 Students are able to explain the supporting aspects of cloud computing technology as well as security mechanisms.

PLO 2

CO6 Students are able to explain cloud computing architecture.

PLO 2

Content 1. Concept and Model: Technology, Security 2. Cloud Characteristic: Limitation, on Usage, Ubiquitous Access,

Multitenancy, Elasticity, Measured Usage 3. Delivery Model: IaaS, PaaS, SaaS 4. Deployment: Public, Community, Private, Hybrid 5. Technology: Internet, Data Center, virtualization, Web, Service,

Multitenancy, Cloud infrastructure software 6. Cloud Computing Security -- Threat, Cloud Security Threats 7. Cloud Computing Security Mechanism-- Public Key

Infrastructure, Hashing, Digital Signature, SSO, Virtual Server 8. Architecture - Workload Distribution, Resource Pooling,

Dynamic Scalability 9. Architecture - Elastic Resource Capacity, Service Load Balancing,

Cloud Bursting. Media employed LCD, whiteboard, websites, books (as references), online






Reading List Thomas Erl et al, “Cloud Computing, Concepts, Technology. And Architecture”. Prentice Hall. Hill et al, “Guide to Cloud Computing, Principles and Practice”. Springer.Jeniq-Neng Hwang, “Multimedia Networking From Theory to Practice”, Cambridge, 2013. ISBN 9780521882040. Ze-Nian Li and Mark. S. Drew, “Fundamentals of Multimedia”, Prentice-Hall, 2003. ISBN 0130618721. W.C. Hardy,”QoS Measurement and Evaluation of Telecommunications Quality of Service”, Wiley, 2001. ISBN 0470845910.

Module name Mobile Computing Module level Undergraduate Code IF184943 Courses (if applicable)

Mobile Computing

Semester 7 Lecturer Hudan Studiawan, S.Kom., M.Kom.,Ph.D. (PIC)

Baskoro Adi Pratomo S.Kom, M.Kom. Language Bahasa Indonesia and English Relation to curriculum










Computer Network



CO1 Students are able to understand concepts and problems in a mobile computing environment and be able to build systems that run in a mobile computing environment. Students are expected to have the ability to build systems that are able to work in a mobile environment with an understanding of technology that supports the development of the system with individual or group performance in teamwork.

PLO 2, PLO 9

Content 1. Wireless network and its limitation 2. Characteristics and system dimension which works in a mobile

environment 3. Mobility modelling and characterizing in a mobile environment 4. Location management by a system in a mobile environment 5. Ad hoc and delay tolerant networks along with their strengths

and weaknesses 6. Mobile information access problems and application adaptation

relates to energy, resource availability etc 7. Spontaneous networking, mobile peer-to-peer and its application

8. Routing in ad hoc and delay tolerant networks · Mobile computing related-issues







Reading List Abdessalam Helal, Et.Al,” Anytime, Anywhere Computing, Mobile Computing Concepts and Technology” , McGraw-Hill. Mobile Computing Principles Designing And Developing Mobile Applications With Uml And Xml and the Environment”, Oxford Publisher 2002. Location Management and Routing in Mobile Wireless Networks,Amitava Mukherjee, Somprakash Bandyopadhyay, Debashis Saha, Artech House Publisher. Andreas Heinemann, Max Muhlhauser", Peer-to-Peer Systems and Application. Mohammad Ilyas and Imad Mahgoub, Mobile Computing Handbook,

Auerbach PublicationHill et al, “Guide to Cloud Computing, Principles and Practice”. Springer.Jeniq-Neng Hwang, “Multimedia Networking From Theory to Practice”, Cambridge, 2013. ISBN 9780521882040. Ze-Nian Li and Mark. S. Drew, “Fundamentals of Multimedia”, Prentice- Hall, 2003. ISBN 0130618721. W.C. Hardy,”QoS Measurement and Evaluation of Telecommunications Quality of Service”, Wiley, 2001. ISBN 0470845910.

Module name Distributed System Module level Undergraduate Code IF184944 Courses (if applicable)

Distributed System

Semester 7 Lecturer Ary Mazharuddin, PhD (PIC) Language Bahasa Indonesia and English Relation to curriculum




Teaching Methods

Lecture, lab works, project






Computer Networks



CO1 Students know and apply concepts and algorithms in distributed systems. Being able to apply the concept to multiple machines so that they connect and work together on a particular problem.

PLO 2, PLO 9

Content 1. Introduction to distributed systems: concepts, goals, and limitations

2. Inter-process communication: message passing, remote procedure calls, distributed objects and naming

3. Distributed systems-based programming: UDP/TCP socket and the use of middleware

4. Indirect communication (publish subscribe and tuple space) 5. Middleware for distributed systems (middleware for publish

subscribe, map reduce, peer to peer, and message queue) 6. Concepts, standards, and middleware on multi-agent and

mobile agent 7. Distributed file systems and examples of its application 8. Research topic in mobile computing, pervasive computing,

ubiquitous computing, and cloud computing 9. The issue of research in distributed systems (load balancing,

load estimation, load migration, and big data) Media employed LCD, whiteboard, websites, books (as references), online

meetings, etc. Assessments and Evaluation





Reading List Coulouris, G., Dollimore, J., Kindberg, T., Blair, G., “Distributed Systems: Concepts and Design 5th Edition”, Addison-Wesley, 2011

Module name Digital Forensics Module level Undergraduate Code IF184945 Courses (if applicable)

Digital Forensics

Semester 8 Lecturer Ary Mazharuddin Shiddiqi, S.Kom., M.Comp.Sc., Ph.D (PIC)

Hudan Studiawan, S.Kom., M.Kom Language Bahasa Indonesia and English Relation to curriculum




Teaching methods Lecture, lab works, project






Computer Network



CO1 Students are able to apply forensic methods to file environments, operating systems, web, computer networks, and on mobile devices and are familiar with anti-forensic techniques.

PLO 2

Content 1. The basic principles and methodologies of digital forensics 2. Introduction, search, and seizure of digital evidence 3. Techniques of data preservation 4. Forensic on operating system 5. Forensics on file 6. Forensics on the web 7. Forensic computer network 8. Forensics on mobile devices

9. Investigation of attacks on computer networks network · Anti-forensic techniques







Reading List Nelson, B., “Guide to Computer Forensics and Investigations”, Cengage Learning, 2009 Casey, E., “Digital Evidence and Computer Crime: Forensic Science, Computers, and the Internet”, Academic Press, 2011 Casey, E., “Handbook of Digital Forensics and Investigation”, Academic Press, 2009 Sammons, J., “The Basics of Digital Forensics: The Primer for Getting Started in Digital Forensics”, Elsevier, 2012 Altheide, C., Carvey, H., “Digital Forensic with Open-Source Tools”, Elsevier, 2011 Hoog, A., “Android Forensics: Investigation, Analysis and Mobile Security for Google Android”, Elsevier, 2011 Daniel, L., Daniel, L., “Digital Forensics for Legal Professionals Understanding Digital Evidence From The Warrant To The Courtroom”, Elsevier, 2011

Module name Grid and Parallel Computing Module level Undergraduate Code IF184946 Courses (if applicable)

Grid and Parallel Computing

Semester 8 Lecturer Ir. F.X. Arunanto, M.Sc. (PIC) Language Bahasa Indonesia and English Relation to curriculum







3. Private study: 3 x 60 = 240 minutes (3 hours) per week. Credit points 3 credit points (sks). Requirements according to the examination



Computer network



CO1 Students understand and can explain concepts and terminology in the field of grid and parallel computing

PLO 2

CO2 Students understand and can explain memory architecture in parallel computing

PLO 2

CO3 Students understand and can apply several programming models to parallel programming for certain cases

PLO 2

CO4 Students understand and can apply special aspects in designing parallel programs in multicore architecture

PLO 2

CO5 Students understand middleware technology in parallel computing and apply it using the appropriate algorithm

PLO 2

Content 1. Concepts and Terminology, von Neumann Computer Architecture, Shared Memory, Distributed Memory, Hybrid Distributed-shared memory, Programming Model and Communication, Design of Parallel Programs, Partitioning, Synchronization, Load Balancing. 2. Programming on Multicore Architecture. Grid Portal Development, Scheduler & Grid Integration Middleware, Open Grid Services Architecture (OGSA).





Reading List Ian Foster and Carl Kesselman, The Grid: Blueprint for a New Computing Infrastructure, 2nd edition, Morgan Kaufmann Publishers, San Francisco, USA (2004), ISBN: 1-55860-933-4. Vladimir Silva, Grid Computing for Developers, 1st edition, Charles River Media Inc., Massachusets, USA (2006), ISBN: 1-58450-424-2. Tao Yang, Lecture Notes on Parallel Scientific Computing, Department of Computer Science University of California Santa Barbara, CA 93106 Barry Wilkinson and Michael Allen, Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers, 2nd edition, Prentice Hall

CUDA by Example: An Introduction to General-Purpose GPU Programming, 9780131387683 (0131387685), Addison Wesley, 2010

Module name Pervasive Computing and Sensor Networks Module level Undergraduate Code IF184947 Courses (if applicable) Pervasive Computing and Sensor Networks Semester 8 Lecturer Dr Eng Radityo Anggoro (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Computer Networks



CO1 Students understand and are able to apply the concept and techniques of pervasive computing and sensor network.

PLO 2

Content 1. Ubiquitous Computing: Basics and Vision, Modelling the Key Ubiquitous Computing, Ubiquitous System Environment Interaction, Architectural Design for UbiCom Systems: Smart DEI Model;

2. Smart Devices and Services: Service Architecture Models, Service Provision Life Cycle, Virtual Machines and Operating Systems;

3. Human–Computer Interaction: User Interfaces and Interaction for Four Widely Used Devices, Hidden UI Via Basic Smart Devices;

4. Tagging, Sensing and Controlling: Tagging the Physical World, Sensors and Sensor Networks, Micro Actuation and Sensing:

MEMS, Embedded Systems and Real Time Systems, Control System and Robots;

5. Context-Aware Systems: Modelling Context Aware Systems, Mobility Awareness, Spatial Awareness, Temporal Awareness: Coordinating and Scheduling, ICT System Awareness;

6. Intelligent Systems (IS): Basic Concepts, IS Architectures, Semantic Knowledge IS, Classical Logic IS, Soft Computing IS Models, IS System Operations.

7. Ubiquitous Communication: Audio Networks, Data Networks, Wireless Data Networks.

8. Management of Smart Devices: Managing Smart Devices in Virtual Environments, Managing Smart Devices in Human User Centred Environments, Managing Smart Devices in Physical Environments







Reading List • Stefan Poslad, Ubiquitous Computing Smart Devices, Environments, and Interaction, JohnWiley&Sons, Ltd., 2009

• Frank Adelstein, Sandeep K. S. Gupta, Golden G. Richard III, Loren Schwiebert, Fundamentals of Mobile and Pervasive Computing, McGraw- Hill, 2005

Module name Data Compression Module level Undergraduate Code IF184948 Courses (if applicable) Data Compression Semester 7 Lecturer Hudan Studiawan, S.Kom., M.Kom., Ph.D (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Computer Network



CO1 Students are able to implement various methods of data compression techniques including statistical-based and dictionary-based techniques on textual data, image, audio and video

PLO 2, PLO 9

Content 1. Introduction to basic compression techniques 2. Introduction to basic theory of information: self-information,

entropy, and code efficiency 3. Loosy compression techniques and loosless 4. Compression techniques with statistical approaches: Huffman,

Adaptive Huffman, and arithmetic 5. Dictionary-based compression techniques: LZ77, LZ78, and

LZW 6. Pre-processing technique for compression: MTF and BWT 7. Techniques of digital image compression: JPEG and CALIC

8. Audio compression technique: MPEG 9. Video compression technique: ITU-T H.261





Reading List Sayood, K., “Introduction to Data Compression 4th Edition”, Morgan Kauffman, San Fransisco, 2012 Pu, I.M., “Fundamental Data Compression 1st Edition”, Butterworth-Heinemann, Burlington, 2006 Salomon, D., Motta, G., “Handbook of Data Compression 5th Edition”, Springer, London, 2010

Module name Data Mining Module level Undergraduate Code IF184951 Courses (if applicable) Data Mining Semester 6 Lecturer Dr. Eng. Chastine Fatichah, S.Kom., M.Kom (PIC)

Prof. Dr. Agus Zainal Arifin, S.Kom., M.Kom. Dini Adni Navastara, S.Kom., M.Sc.

Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.









Artificial Intelligence



CO1 Students are able to understand various types of data and several data sources (database, warehouse, transactional, WWW).

PLO1, PLO 9

CO2 Students are able to understand the concept and apply data pre-processing techniques.

PLO1, PLO 9

CO3 Students are able to create systems for data mining and data analysis by applying methods of computational intelligence and probabilistic methods.

PLO1, PLO 9

CO4 Students are able to analyse and solve problems in a case study by utilizing a data mining system.

PLO1, PLO 9

Content • Introduction of Data Mining: Data Source, Tata type and Attribute Type.

• Proximity dan Pre-Processing • Association Rule Process • Classification Process • Clustering Process • Outlier Detection







Reading List Pang-Ning Tan, Michael Steinbach, Vipin Kumar, “Introduction to Data Mining”, Addison-Wesley, 2005. Han, Jiawei; Kamber, Micheline, “DATA MINING: CONCEPT AND TECHNIQUES”, Morgan Kauffman Pub, 2001 Rajaraman, Anand, “Mining of Massive Datasets”, Stanford University, 2011

Module name Digital Image Processing Module level Undergraduate Code IF184952 Courses (if applicable) Digital Image Processing Semester 6 Lecturer Prof. Ir. Handayani Tjandrasa, M.Sc., Ph.D. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.









Computational Intelligence



CO1 Students are able to explain visual perception and definition of digital image processing.

PLO3, PLO 9

CO2 Students are able to explain image enhancement to increase contrast and to perform filtering using various methods in the spatial domain.

PLO3, PLO 9

CO3 Students are able to explain transformation and image filtering in the frequency domain, wavelet, and Hough transform.

PLO3, PLO 9

CO4 Students are able to explain the basics of color, color image processing, and pseudo color.

PLO3, PLO 9

CO5 Students are able to explain the process of image restoration to repair the degraded image visually, geometrically image registration, and zooming process.

PLO4, PLO 9

CO6 Students are able to implement digital image processing for visualization and analysis of the results.

PLO4, PLO 9

CO7 Students are able to explain the methods of segmentation with a variety of techniques, which are based on boundary/edge detection, threshold values, and regions.

PLO5, PLO 9

C08 Students are able to explain the concept of representation and description as well as feature extraction methods as image descriptors, and template matching method.

PLO1, PLO 9

C09 Students are able to explain morphological methods, especially for binary images.

PLO5, PLO 9

C10 Students are able to explain the process of encoding and decoding, and the concept of image compression.

PLO5, PLO 9

C11 Students are able to implement image segmentation, feature description, and analyze the results.

PLO1, PLO 9

Content - Image Enhancement in Spatial Domain: - Curve Transformation, - Histogram, - Histogram Equalization, - Convolution, - Median Filter.

- Image Transformation: - Fourier Transform, - Wavelet, - Hough Transform.

- Image Enhancement in Frequency Domain: - Ideal LPF, - Butterworth LPF, - Gaussian LPF (GLPF), - IHPF, - BHPF, - GHPF.

- Colour Images: - Basics of Colour, - Colour Image Processing, and - Pseudo Colour.

- Image Restoration, Warping, Zooming: - Inverse Filter, - Wiener Filter, - Registration, - Warping, - Zooming.

- Segmentation: - Line/Edge Detection, - Thresholding, - Region Based Segmentation.

- Representation and Description: - Chain Codes, - Polygon Approach, - Signature, - Boundary Segmentation, - Skeletoning, - Thinning.

- Descriptor: - Boundary Descriptor, - Fourier Descriptor, - Topological Descriptor, - Moment, - Texture, - Correlation

- Morphological Methods: - Binary Image, - Connectivity, - Dilation, - Erosion, - Morphological Reconstruction, - Template Matching, - Boundary Extraction, - Thinning.

- Encoding/Decoding: - Run-length Encoding, - Huffman Code, - JPEG, - DCT Transform, - Quantization, - Zig-zag Sequence.


The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments: 15% • Written midterm assessment: 25%

• Final oral exam: 30%





Reading List Gonzales, R.C., and Woods, R. E., “Digital Image Processing", Prentice Hall,2008 Pratt, W.K., “Digital Image Processing”, John Wiley & Sons, Inc., 2007 Forsyth, David A., and Ponce, Jean, “Computer Vision: A Modern Approach”, 2nd Ed., Pearson Education, Inc.,2012 Petrou, Maria, and Petrou, Costas, “Image Processing: The Fundamentals”, John Wiley & Sons Ltd, 2010 Costaridou, Lena (Ed.), “Medical Image Analysis Methods”, Taylor & Francis Group, 2005 Russ, John C., “The Image Processing Handbook”, fifth edition, CRC Press, 2007

Module name Biomedical Computation Module level Undergraduate Code IF184953 Courses (if applicable) Biomedical Computation Semester 7 Lecturer Prof. Ir. Handayani Tjandrasa, M.Sc., Ph.D. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective






3. Private study: 3 x 60 = 180 minutes (3 hours) per week.







CO1 Students are able to identify problems on biomedical field

PLO1

CO2 Students are able to analyse biomedical problems based on existing biomedical data.

PLO1

CO3 Students are able to design and implement statistical methods and machine learning methods to model solutions in the biomedical field.

PLO1

Content • Introduction to Biomedic • Biomedical Data Description (Numeric Data, Signal Data, Image

Data, Gene Data) • Analysis and Modelling of Biomedical Data using Probabilistic • Classification, Clustering and Regression Method







Reading List Biomedical Informatics, Edward C. Shortlife & James J. Cimino

Module name Robotics Module level Undergraduate Code IF184954 Courses (if applicable) Robotics Semester 8 Lecturer Dini Adni Navastara, S.Kom., M.Sc. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.












CO1 Students understand the concept, various robots, robot components and how they work.

PLO1, PLO 9

CO2 Students are able to assemble robots. PLO1, PLO 9

CO3 Students are able to understand robot programming. PLO1, PLO 9

CO4 Students understand the types of robot movements and how to apply them.

PLO1, PLO 9

CO5 Students are able to utilize and apply various robot sensors.

PLO1, PLO 9

CO6 Students are able to apply intelligent system methods to robots

PLO1, PLO 9

Content • Introduction to Robot, Kinds of Robot, Components of Robot and How it Works.

• How to Build Robot. • Introduction to Robot Programming Language (use RobotC). • Types of Robot Movement and How to Apply Them. • Various Robot Sensors (Light Sensor, Sound Sensor, Touch

Sensor, etc).







Reading List John C. Hansen, LEGO Mindstorms NXT Power Programming: Robotics in C, second edition, Variant Press, 2009 Kim, Yong-Tae, Kobayashi, Ichiro, Kim, Euntai, Soft Computing in Advanced Robotics, Springer Robin R. Murphy, Introduction to AI Robotics, The MIT Press, 2000

Module name Information Retrieval System Module level Undergraduate Code IF184955 Courses (if applicable) Information Retrieval System Semester 7 Lecturer Dr. Diana Purwitasari, S.Kom., M.Sc. (PIC) Language Bahasa Indonesia dan English Relation to curriculum 1. Undergraduate degree program; elective.













CO1 The students are able to explain various concepts, theories, terms in various models of information retrieval systems and their applications

PLO1, PLO9

CO2 The students implement problem solving techniques such as indexing, searching, query processing in the need of information retrieval.

PLO1, PLO9

CO3 Students are able to make a searching machine to extract information as a simple implementation prototype and categorize results for ease of visualization.

PLO1, PLO9

Content • Retrieval Model with: - Boolean, - Vector Space, - Probabilistic, - Library Lucene, - Performance Evaluation, - Relevance Feedback, - Web Search, - Classification and Clustering.

• Applications: - Image-Based Retrieval, - Latent Semantic Indexing, - Recommendation System, - Information Extraction.







Reading List • Ricardo Baeza-Yates, Berthier Ribeiro-Neto, “Modern Information Retrieval: The Concepts and Technology behind Search 2nd Ed”, Addison-Wesley, New Jersey, 2011

• Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze,

“Introduction to Information Retrieval”, Cambridge University Press, 2008

Module name Computer Vision Module level Undergraduate Code IF184956 Courses (if applicable) Computer Vision Semester 7 Lecturer Dr.Eng. Nanik Suciati, S.Kom., M.Kom. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.









-



CO1 Students are able to explain computer vision problems in writing.

PLO1, PLO 9

CO2 Students are able to make MATLAB code to solve computer vision problems.

PLO1, PLO 9

CO3 Students are able to explain the theories and principles in computer vision.

PLO1, PLO 9

CO4 Students are able to do independent research on certain topics, write research reports with a small scope, and present them orally.

PLO1, PLO 9

CO5 Students are able to criticize various methods to solve computer vision problems.

PLO1, PLO 9

Content • Introduction: • Image Formation, • Camera Models, • Perspective Geometry, • Overview of Current State-of-art computer Vision systems.

• Review of Digital Image Processing Unit: • Binary Image Analysis, • Fourier Transform, • Grayscale Image Analysis.

• Recognition and Classification: • Feature Extraction, • Edge Detection.

• 3D Reconstruction: • Camera Calibration, • Projective Geometry, • Stereo, • Epipolar Geometry, • Structured Light Systems.

• Optical Flow and Tracking. • 3D Shape Analysis and Matching.







Reading List Richard Szeliski, “Computer Vision: Algorithms and Applications”, Springer-Verlag, London, 2011. David A. Forsyth dan Jean Ponce, “Computer Vision: A Modern Approach, 2nd Edition”, Prentice Hall, 2012. Christian Wöhler, “3D Computer Vision: Efficient Methods and Applications”, Springer-Verlag, Berlin Heidelberg, 2009. Francisco Escolano, Pablo Suau, Boyán Bonev, “Information Theory in Computer Vision and Pattern Recognition”, Springer Verlag, London, 2009.

Module name Social Network Analysis Module level Undergraduate Code IF184957 Courses (if applicable) Social Network Analysis Semester 8 Lecturer Dr. Diana Purwitasari, S.Kom., M.Sc. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.



1. Undergraduate degree program: lectures, < 60 students, 2. International undergraduate program: lectures, < 40

students

Workload 1. Lectures: 3 x 50 = 150 minutes (2 hours 30 minutes) per week.









CO1 Students are able to explain various concepts, theories, and terms in data analysis techniques from social networking media

PLO1, PLO9

CO2 Students are able to collect data from social networking sites

PLO1, PLO9

CO3 Students are able to perform social network analysis using standard data sets with assistive tools

PLO1, PLO9

CO4 Students are able to design and implement social network analysis on a real problem independently or in teamwork

PLO1, PLO9

Content • Introduction to Social Network Analysis with Networking Type Concept Based on Graph Theory: • Full, Partial, or Egocentric Network • Unimodal, Multimodal, or Affiliation Network • Multiplex Network

• Network Analysis Measures for Measuring Community Users: • Aggregate • Vertex-specific (Degree, Closeness, Betweenness,

Eigenvector) • Important Position Analysis (Centrality, Prestige) • Relationship Analysis (Structural Balance, Transitivity) • Social Group Analysis (Cohesive Subgroups) • Role and Position Analysis (Structural Equivalence)

• Community Detection and Evaluation: • Node-Centric, • Group-Centric, • Network-Centric, • Hierarchy-Centric.

• Study Case on Social Media Network Analysis (e-Mail, Threaded Conversation, Twitter, Facebook, World Wide Web (WWW), Flickr, YouTube, Wikis).

• Application Examples: • Pattern Change in Social Media, • Classification of Social Network, • Recommendation and Community Behaviour Analysis.

• Implementation steps of social media analysis, starting from collect data to visualization of analysis output individually or teamwork with/out open-source library.







Reading List Reza Zafarani, Mohammad Ali Abbasi, Huan Liu, “Social Media Mining: An Introduction”, Cambridge University Press, 2014 Matthew A. Russell, “Mining the Social Web 2nded.”, O’Reilly, 2014 Maksim Tsvetovat, Alexander Kouznetsov, “Social Network Analysis for Startups”, O’Reilly, 2011

Module name Deep Learning Module level Undergraduate Code IF184958 Courses (if applicable) Deep Learning Semester 8 Lecturer Dr.Eng. Chastine Fatichah, S.Kom., M.Kom. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; compulsory.












CO1 Students are able to explain the theory, principles, and various models of deep learning.

PLO3, PLO9

CO2 Students are able to use appropriate deep learning models to solve various learning problems, such as single modal learning, multimodal learning, and generative model learning.

PLO3, PLO9

CO3 Students are able to create programs to solve real world problems using appropriate in-depth learning algorithms.

PLO3, PLO9

CO4 Students are able to conduct independent research on a particular topic, write a research report with a small scope, and make a presentation.

PLO3, PLO9

C05 Students are able to criticize various methods to solve real world problems using deep learning

PLO3, PLO9

Content • Introduction of Deep Learning, Perceptron, Multi-Layer Perceptron, and Algorithm Training.

• Sequence Modelling with Neural Networks: - Recurrent Neural Networks, - Application in Machine Translation, - Training RNN.

• Deep Learning for Computer Vision: - Image Classification Pipeline, - Convolutional Neural Network, - Object Recognition, - Some Applications: Image Caption Generation, Video

Description Generation, Image Question Answering. • Deep Generative Models: learning to understand data (image,

audio, handwritten, language) through generation and compression as implicit generative modelling.

• Multimodal Learning: - Flickr (joint learning of images and tags) - SoundNet (learning sound representation from videos) - Image captioning (generating sentences from images)







Reading List Ian Goodfellow, Yoshua Bengio and Aaron Courville, “Deep Learning”, MIT Press Book, 2017.

Module name Enterprise System Module level Undergraduate Code IF184961 Courses (if applicable) Enterprise System Semester 7 Lecturer Ir. Ary Mazharuddin Shiddiqi, S.Kom., M.Comp.Sc., Ph.D. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Database System



CO1 Students understand and able to implement the architectures of enterprise information, architectures of enterprise applications, business process management, business process modeling, business process composition. Service oriented architecture (SOA), web services and enterprise service bus (ESB ).

PLO 6

Content 1. Architectures of enterprise information, architectures of enterprise applications, business process management, business process modeling, business process composition. Service

oriented architecture (SOA), web services and enterprise service bus (ESB )






Reading List • Simha R. Magal, Integrated Business Processes with ERP Systems, John Wiley & Sons, Inc., 2012

• Riyanarto Sarno, ANALISIS DAN DESAIN BERORIENTASI SERVIS UNTUK APLIKASI MANAJEMEN PROYEK, Andi Publisher, 2012, ISBN 978-979-29-3072-6.

• Manfred Reichert, Barbara We, Enabling Flexibility in Process-Aware Information Systems, Challenges, Methods, Technologies. SpringerVerlag, Berlin Heidelberg, 2012.

• Riyanarto Sarno, STRATEGI SUKSES BISNIS DENGAN TI Berbasis Balanced Scorecard dan COBIT, ITS Press, 2009, ISBN 978-979-8897-42-9.

• Riyanarto Sarno, et al. (2013). Petri Net Model of ERP Business Process Variations for Small and Medium Enterprises, Journal of Theoretical and Applied Information Technology, 10th August 2013. Vol. 54 No.1, pp.31-38.

• Riyanarto Sarno, Yeni Anistyasari dan Rahimi Fitri, SEMANTIC SEARCH, Andi Publisher, 2012, ISBN 978-979-29-3110-5.

Module name Knowledge Engineering Module level Undergraduate Code IF184962 Courses (if applicable) Knowledge Engineering Semester 7 Lecturer Nurul Fajrin Ariyani, S.Kom., M.Sc. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Database System



CO1 Students understand and able to implement the concept of knowledge engineering including acquisition, validation, representation, inference, explanation and justification and semantic web.

Content • Introduction to Knowledge Engineering: data, information and knowledge, knowledge elicitation techniques, knowledge modelling techniques.

• Knowledge Acquisition: knowledge acquisition definition, techniques and methods in knowledge acquisition

• Knowledge Validation: definition, parameters, and validation measurement processes, technique and method to validate knowledge

• Knowledge Representation: definition, knowledge engineering process, techniques in knowledge engineering

• Inference, Explanation and Justification • Semantic Web: semantic web roadmap, ontology and knowledge

representation on semantic web, semantic web education, layer cake, XML, RDF/S

• Knowledge engineering application to solve the actual problems Media employed LCD, whiteboard, websites, books (as references), online meeting,

etc.





Reading List

• Simon Kendal and Malcolm Creen, an Introduction to Knowledge Engineering, Springer, 2006.

• R.J. Brachman and H.J. Levesque, Knowledge Representation and Reasoning, Elsevier, 2004.

• Segaran, Evans, and Taylor, Programming the Semantic Web, O’Reilly, 2009.

Module name Systems Audit Module level Undergraduate Code IF184963 Courses (if applicable) Systems Audit Semester 7 Lecturer Kelly Rossa Sungkono, S.Kom., M.Kom. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Database System



CO1 Students understand and able to apply the concept of systems audit.

PLO 6

Content

1. Planning and implementing audit processes. Investigation methods, analysis and maturity evaluation. Complience evaluation based on the standard operating procedures. Recommendation for increasing risk management and system






Reading List

• Riyanarto Sarno, Audit Sistem Informasi/Teknologi Informasi, ITS Press, 2009.

• Riyanarto Sarno, Strategi Sukses Bisnis dengan Teknologi Informasi Berbasis Balanced Scorecard dan COBIT, ITS Press, 2009, ISBN 978- 979-8897-42-9.

• Simha R. Magal, Integrated Business Processes with ERP Systems, John Wiley & Sons, Inc., 2012

• Riyanarto Sarno & Irsyat Iffano, Sistem Manajemen Keamanan Informasi, ITS Press, 2009

Module name Information Technology Governance Module level Undergraduate Code IF184964 Courses (if applicable) Information Technology Governance Semester 8 Lecturer Adhatus Solichah Ahmadiyah, S.Kom., M.Sc. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Database Management, Analysis and Planning of Information Systems



CO1 Students understand and able to apply principles of Information Technology Governance.

PLO 6

Content 1. Business Process Management, Risk Management, IT Governance Framework (COBIT & ITIL), Project and Human Resource Governance (Human Resource, Requirement Analysis, Project Management, Change Management), Infrastructure Governance

Media employed






Reading List Webber, L. and Wallace, M., IT Governance: Policies and Procedures 2014

Edition, Wolters Kluwer, 201

Module name Distributed Databases Module level Undergraduate Code IF184965 Courses (if applicable) Distributed Databases Semester 7 Lecturer Abdul Munif, S.Kom., M.Sc.Eng. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective.










Database Management



CO1 Students understand and able to apply the principal of distributed database distributed database architecture, query optimization, data replication, and aware about current issues in distributed database.

PLO 6

Content 1. Distributed Database Design 2. Data Control and Access 3. Concurrency Control 4. Query Optimization (Query Processing, Parallel Query, Data

Decomposition and Localization) 5. Deadlock Handling 6. Data Replication Technique 7. Transaction Management (Failure and Commit Protocols) 8. Parallel Database System

9. Distributed Database Object Management






Reading List • M. T. Özsu and P. Valduriez, Principles of Distributed Database Systems, London: Springer, 2011.

• S. K. Rahimi and F. S. Haug, Distributed Database Management Systems: A Practical Approach, Hoboken, New Jersey: John Wiley & Sons, Inc., 2010

Module name Big Data Module level Undergraduate Code IF184966 Courses (if applicable) Big Data Semester 8 Lecturer Abdul Munif, S.Kom., M.Sc.Eng. (PIC) Language Bahasa Indonesia dan English Relation to curriculum 1. Undergraduate degree program; elective.










Database System



CO1 Students understand current issues and aspects in big data. Students are able to implement big data with large scale, large variety, and high speed access (volume, variety, and velocity).

PLO 6

Content 1. Data Mining MapReduce 2. Finding Similar Items (Near-Neighbor Search, Shingling of

Documents). 3. Mining Data Streams 4. Link Analysis 5. Frequent Itemsets

6. Clustering 7. Advertising on the Web 8. Recommendation System 9. Mining Social-Network Graphs 10. Dimensionality Reduction

Media employed






Reading List

• J. Leskovec, A. Rajaraman and J. Ullman, "Mining of Massive Datasets," 15 August 2014. [Online]. Available: http://www.mmds.org/

• H. Cuesta, Practical Data Analysis, Birmingham: Packt Publishing Ltd., 2013.

• V. Mayer-Schönberger and K. Cukier, Big Data: A Revolution That Will Transform How We Live, Work, and Think, New York: Eamon Dolan/Houghton Mifflin Harcour, 2013.

• N. Sawant and H. Shah, Big Data Application Architecture Q&A, A Problem - Solution Approach, New York: Apress, 2013.

• P. Giacomelli, Apache Mahout Cookbook, Mumbai: Packt Publishing, 2013.

• V. Prajapati, Big Data Analytics with R and Hadoop (Community Experience Distilled), Mumbai: Packt Publishing, 2013.

Module name Geographic Information System Module level Undergraduate Code IF184967 Courses (if applicable) Geographic Information System Semester 7 Lecturer Adhatus Solichah A., S.Kom., M.Sc. (PIC)

Ir. Raden Venantius Hari Ginardi, M.Sc. Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; elective




Teaching Methods Lecture, lab works, project Workload 1. Lectures: 3 x 50 = 150 minutes (2 hours 30 minutes) per week.








CO1 Students understand and able to apply the concept of geographic information systems and another information system. Students are able to analyze the spatial-temporal data, analysis of 3-D surface, map coordinate system and projection system.

PLO 6

CO2 Students are able to work and communicate effectively both individually and in groups.

PLO 9

Content 1. Map Projection and Coordinate System 2. Map digitizing 3. GPS 4. Remote Sensing - Thematic Map 5. Spatial Analysis

6. 3-D Analysis 7. Community-Based Mapping 8. Location-based Services

Media employed



1. CO1: Problem 1 in mid-term exam (5%) and exercise 1 (5%) - 10%

2. CO2: Problem 2 in mid-term exam (5%) and exercise 2 (5%) - 10%

3. CO3: Problem 3 in mid-term exam (5%); problem 4 in mid-term exam (5%); assignment 1: make an algorithm and computer program (5%); and exercise 3 (5%) - 20%

4. CO4: Problem 5 in mid-term exam (5%); problem 1 in final exam (5%) and exercise 4 (5%) - 15%

5. CO5: Problem 2 in final exam (5%); assignment 2: make a function and recursive (5%); and exercise 5 (5%) - 15% CO6: Problem 3 in final exam (5%) and exercise 6 (5%) - 10%

6. CO7: Problem 4 in final exam (5%) and exercise 7 (5%) - 10% 7. CO8: Problem 5 in final exam (5%) and assignment 3: make a

program based on a real-life problem (5%) - 10% Study and examination requirements and forms of examination


Reading List • Longley, P.A., Goodchild, M.F., Maguire, D.J., and Rhind, D.W., 2011, Geographic Information Systems and Science, New York, John Wiley & Sons.

• Narayan Panigrahi, Computing in Geographic Information System, CRC Press, 2014

• Quantum GIS, online resources (www.qgis.org) • OpenStreetMap, online resources • Google Map API, online resources

Module name Software Architecture Module level Undergraduate Code IF184971 Courses (if applicable) Software Architecture Semester 6 (Genap) Lecturer Rizky Januar Akbar, S.Kom., M.Eng. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; optional; 6th or 8th semester.

2. International undergraduate program; optional; 6th or 8th semester.












CO1 Students are able to explain various software architectures for various types of software systems

PLO3

CO2 Students are able to choose the right architecture based on the characteristics of the software system.

PLO3

CO3 Students are able to describe the software architecture in multilevel levels and details.

PLO3

CO4 Students are able to perform high-level architectural decomposition into components and

PLO3, PLO9

determine dependencies and connections between components.

CO5 Students are able to identify appropriate design patterns based on problems in software architectural design.

PLO3, PLO9

CO6 Students are able to implement design patterns into architectural design and program code

PLO3, PLO9

Content 1. Types of software. 2. Types of software architecture (monolithic, client-server, two-tier,

threetier, modelview-controller, etc). 3. Principles of software architecture design. 4. Layering concept and component dependencies. 5. Diagram notations on software architecture. 6. Software architecture viewpoints (logical view,

process view, development view, and physical view). 7. Design patterns (creational patterns, structural patterns, dan

behavioral patterns). 8. Enterprise application architecture, networked application

architecture (optional) 9. The issue of research in distributed systems (load balancing, load

estimation, load migration, and big data) Media employed LCD, whiteboard, websites, books (as references), online meeting, etc.






Reading List Gamma, Erich. Design Patterns: Elements of Reusable Object-oriented Software. Reading, Mass.: Addison-Wesley, 1995 Fowler, Martin. Patterns of Enterprise Application Architecture. Boston: Addison-Wesley, 2003

Module name Software Quality Assurance Module level Undergraduate Code IF184972 Courses (if applicable) Software Quality Assurance Semester 8 Lecturer Ir. Siti Rochimah, MT.,Ph.D.(PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; optional; 8th semester.










-



CO1 Able to understand the basics of software testing. PLO3

CO2 Able to explain in detail, differentiate, and perform types and levels of testing (unit, integration, system, acceptance).

PLO3

CO3 Able to explain and perform testing techniques. PLO3

CO4 Able to explain in detail the important test case identification techniques for unit, integration, and system testing.

PLO3

CO5 Able to implement an inspection or review process of software source code on small or medium scale software projects.

PLO3, PLO9

CO6 Able to actively participate as part of team activities to practice the inspection process for small / medium scale source code segments.

PLO3

CO7 Able to take measurements related to testing. PLO3

CO8 Able to carry out the testing process / procedure. PLO3

CO9 Be able to properly explain the verification and validation process for non-source code artifacts.

PLO3, PLO9

C10 Able to use testing tools in the implementation of the testing process.

PLO3, PLO9

C11 Be able to make good use of software defect tracking tools to manage software defects in small-scale software projects, and analyze their results.

PLO3, PLO9

C12 Able to understand the basics of software quality assurance.

PLO3, PLO9

Content 1. Basics of software testing: Terminology related to testing,Main issues, Relationship among testing and other activities

2. Testing level: Testing targets, Testing objectives 3. Testing techniques: Based on the software engineer’s intuition and

experience, Input domain-based techniques, Code-based techniques,

4. Fault-based techniques, Usagebased techniques, Model-based testing techniques, Techniques based on the nature of the application

5. Test-related measures: Evaluation of the program under test, Evaluation of the tests performed

6. Test Process: Practical considerations, Test activities 7. Software testing tools: Testing tool support, Categories of tools 8. Basics of software quality: Software ethics and culture, Value and

cost of software quality, Software quality and model characteristics, Software process improvement, Aspects related to software safety







Reading List S. Naik and P. Tripathy, Software Testing and Quality Assurance: Theory and Practice, Wiley-Spektrum, 2008. S.H. Kan, Metrics and Models in Software Quality Engineering, 2nd ed., Addison-Wesley, 2002. D. Galin, Software Quality Assurance: From Theory to Implementation, Pearson Education Limited, 2004.

Module name Software Evolution

Module level Undergraduate Code IF184973 Courses (if applicable) Software Evolution Semester 7 Lecturer Dr.Ir. Siti Rochimah, MT. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; optional; 7th semester.













CO1 Students understand and able to apply the concept and methods of software evolution including program comprehension, code cloning, software repositories, fault prediction and refactoring.

PLO3

Content 1. ROAD MAP AND EMPIRICAL STUDY: history and challenge in software evolution; the similarity and difference between software evolution and software maintenance.

2. LEHMAN’s LAW: Lehman’s law in software evolution, introduction to S-, P-, and Esystem type.

3. THE ACTIVITIES IN SOFTWARE EVOLUTION: the types of 4. software maintenance such as corrective, adaptive, perfective, and

preventive; activities in software interoperability; software changes analysis, tools in software evolution e.g. DDF, CFG, etc.

5. PROGRAM COMPREHENSION: program structure visualization, static code analysis, control dependencies diagram, CFG.

6. CODE CLONING: introduction to cloning; cloning types; cloning sources; cloning evolution, clone detection and management; clone removal techniques, clone algorithm and development.

7. SOFTWARE REPOSITORIES: introduction to software repositories and software repository analysis; releas history.

8. FAULT PREDICTION: predict fault from history and log in software development; the cause of defect-prone software, software metrics; the techniques to predict fault using code churn, related issues; the threats to validity.

9. REFACTORING: refactoring techniques, bad smell code removal, the advantages, risks, and refactoring cost.

10. SOFTWARE EVOLUTION TOOLS: tools to predict detect code clone and bad smell code, tools to software repository.

11. SOFTWARE METRICS: the types of software metrics such as LOC, aggregration metric, structure and modular metric of object oriented program, package metric, churn metric, and time and cost estimation metric.





The final grade in the module is composed of: • Two short computer-based quizzes: 15% x 2 = 30% • Take-home written assignments: 15%

• Written midterm assessment: 25% • Final oral exam: 30%


Reading List Stephan Diehl, Software Visualization: Visualizing the Structure, Behaviour, and Evolution of Software, Springer-Verlag, Berlin, 2007 Nazim H. Madhavji, Juan Fernandez-Ramil, dan Dewayne Perry, Software Evolution and Feedback: Theory and Practice, John Wiley & Sons, England, 2006. J. Fernandez-Ramil et al., Empirical Studies of Open Source Evolution. R. Koschke, Identifying and Removing Software Clones. E. Duala-Ekoko and M.P. Robillard, Tracking Code Clones in Evolving Software, In Proceedings of the 29th International Conference on Software Engineering.

Module name Software Construction Module level Undergraduate Code IF184974 Courses (if applicable) Software Construction Semester 7 Lecturer Rizky Januar Akbar, S.Kom., M.Eng. (PIC) Language Bahasa Indonesia and English Relation to curriculum 1. Undergraduate degree program; optional; 7th semester.










Analysis and Design of Information Systems and Software Design (taken)



CO1 Students are able to explain essential and accidental complexities in software development.

PLO3

CO2 Students are able to explain the stages in the software construction phase.

PLO3

CO3 Students are able to translate the detailed design of the software into program code.

PLO3

CO4 Students are able to determine the platform, language, and standard required according to the type of software to be built.

PLO3

CO5 Students are able to build software using best practices in the coding, debugging, testing, and integration processes

PLO3, PLO9

CO6 Students are able to produce high quality program code.

PLO3, PLO9

CO7 Students are able to make program code improvements.

PLO3, PLO9

CO8 Students are able to collaborate and integrate software.

PLO3

Content 1. Phases on software construction. 2. Software development metaphors. 3. Prerequisites of software construction. 4. Software construction approach. 5. Creating high-quality code: creating classes, creating procedures or

routines. 6. Version control system: workflow using Git (commit, push, pull, and

branching). 7. Defensive programming: error handling, assertions, exceptions, and

debugging. 8. Coding convention: use of variables and data types, variable

naming, code layouting. 9. Statement organization: branch structures, loop structures. 10. Code improvements: unit testing, debugging, and refactoring. 11. Integration: integration approaches, incremental strategy, daily

builds, and smoke test. 12. Case study on software construction.







Reading List McConnell, S.Code Complete: A Practical Handbook of Software Construction, 2nd Edition. Redmond, Wash: Microsoft Press, 2004. Fowler, Martin, and Kent Beck. Refactoring: Improving the Design of Existing Code. Reading, MA: Addison-Wesley, 1999. Martin, Robert C., and Micah Martin. Agile Principles, Patterns, and Practices in C♯. Upper Saddle River, NJ: Prentice Hall, 2007. Brooks, Frederick P. The Mythical Man-month Essays on Software Engineering. - Anniversary Ed. Reading, Mass.: Addison-Wesley Pub., 1995. Gamma, Erich. Design Patterns: Elements of Reusable Object-oriented Software. Reading, Mass.: Addison-Wesley, 1995.

Portofolio MK - 1

Rencana Pembelajaran Semester / Learning Plan

INSTITUT TEKNOLOGI SEPULUH NOPEMBER (ITS) FAKULTAS ………………………. DEPARTEMEN ………………….

Kode Dokumen

RENCANA PEMBELAJARAN SEMESTER MATA KULIAH (MK) KODE Rumpun MK BOBOT (sks) SEMESTER Tgl Penyusunan Matematika 1 / Mathematics 1 KM 18 4 101 3 1 OTORISASI / PENGESAHAN Dosen Pengembang RPS Koordinator RMK Ka PRODI

Tanda tangan

Tanda tangan

Capaian Pembelajaran

CPL-PRODI yang dibebankan pada MK

CPL-1 ILO-1

[C2] Mahasiswa mampu mengidentifikasi dan menjelaskan pondasi matematika yang meliputi murni, terapan dan dasar-dasar komputasi [C2] Students are able to identify and explain foundations of mathematics that include pure, applied, and the basic of computing

CPL-2 ILO-2

[C3] Mahasiswa mampu menyelesaikan permasalahan sederhana dan praktis dengan mengaplikasikan pernyataan matematika dasar, metode dan komputasi [C3] Students are able to solve simple and practical problems by applying basic mathematical statements, methods and computations

Capaian Pembelajaran Mata Kuliah (CPMK) – Bila CP MK sebagai kemampuan pada tiap tahap pembelajaran CP MK = Sub CP MK

CPMK-1 Mahasiswa mampu menerapkan konsep-konsep dasar matematika yang terkait matriks dan determinan. Students are able to apply basic mathematical concepts related to matrices and determinants.

CPMK-2 Mahasiswa mampu menerapkan persamaan atau pertidaksamaan serta grafik fungsi Persamaan Linear. Students are able to apply equalities or inequalities as well as graphs of Linear Equation functions.

CPMK-3 Mahasiswa mampu mengaplikasikannya bentuk peubah kompleks dalam bentuk polar serta menarik akar-akar persamaannya. Students are able to apply complex variable forms in polar form and get the roots of the equation.

Portofolio MK - 2

CPMK-4 Mahasiswa mampu menentukan kekontinuan fungsi dan turunanannya. Students are able to determine the continuity of functions and their derivatives.

CPMK-5 Mahasiswa mampu menerapkan integral melalui teorema fundamental kalkulus. Students are able to apply integrals through the fundamental theorem of calculus.

Peta CPL – CP MK CPL-1 CPL-2 CPL-3 CPL-4 CPL-5 CPL-6 CPL-7 CPMK-1 CPMK-2 CPMK-3 CPMK-4 CPMK-5

Diskripsi Singkat MK

Dalam Mata Kuliah ini mahasiswa akan mempelajari pokok bahasan pokok bahasan sebagai berikut: 1. Konsep dasar sistem bilangan real: pengertian sistem bilangan real, bentuk desimal bilangan real, sistem koordinat , sifat urutan, pengertian nilai

mutlak, garis – grafik persamaan linear. 2. Konsep dasar bilangan kompleks: penjumlahan, perkalian, hasil bagi, bentuk polar bilangan kompeks beserta operasi aljabarnya dan penarikan

akar persamaan dalam sistem bilangan kompleks. 3. Konsep dasar aljabar matrik, sifat-sifat determinan, operasi baris elementer, sistem persamaan linier dan masalah nilai eigen atau vector eigen. 4. Konsep-konsep fungsi, limit: domain, range, fungsi linier, kuadratik dan trigonometri atau transcendent, grafik fungsi, limit fungsi dan kontinuitas. 5. Diferensial/turunan: definisi turunan, aturan-aturan diferensisasi (untuk fungsi polynomial, trigonometri, tramsendent), aturan rantai dan turunan

fungsi implisit. 6. Aplikasi Turunan: laju-laju berkaitan, interval naik-turun, kecekungan, sketsa grafik yang mempunyai asimtot dan puncak, nilai ekstrema dan

aplikasi masalah optimasi. 7. Integral tak-tentu: turunan dan anti turunan , Theorema Fundamental Kalkulus.

Portofolio MK - 3

Short Description of Course

In this course, students will learn the following subjects: 1. Basic concept of real number system: definition of real number system, decimal form of real number, coordinate system, nature of sequence,

definition of absolute value, graph of linear equations. 2. The basic concept of complex numbers: addition, multiplication, quotient, polar form of complex numbers and their algebraic operations and the

drawing of equations in complex number systems. 3. The basic concept of matrix algebra, determinant properties, elementary line operations, systems of linear equations and the problem of eigenvalues

or eigenvectors. 4. The concepts of function, limit: domain, range, linear, quadratic and trigonometric or transcendent function, function graph, limit function and

continuity. 5. Differential / derivative: definition of derivatives, referenced rules (for polynomial, trigonometric, tramsendent functions), chain rules and implicit

derivatives of functions. 6. Derivative Applications: corresponding rates, increment interval, slope, graph sketch having asymptotes and peaks, extrema values and application

of optimization problems. 7. Indefinite integral: Derivative and anti-derivative, Fundamental Theorems of Calculus.

Bahan Kajian: Materi pembelajaran Course Materials:

x Matrik dan Determinan. / Matrix and Determinant x Persamaan, pertidaksamaan, grafik fungsi parabola, lingkaran atau elips./ Equations, inequalities, graphs of functions of a parabola, circle or

ellipse x Bilangan kompleks dan bentuk polarnya./ Complex numbers and their polar coordinates. x Kekontinuan fungsi dan turunanya. / Continuity of functions and their derivatives. x Integral dan Theorema Fundamental Kalkulus. / Integral and Fundamental Theorems of Calculus.

Pustaka: References:

Utama/Main: 1. Tim Dosen Jurusan Matematika ITS, Diktat Matematika 1 , Edisi ke-5 Jurusan Matematika ITS, 2020 2. Anton, H. dkk, Calculus, 10-th edition, John Wiley & Sons, New York, 2012 Pendukung / Supporting:

1. Kreyzig, E, Advanced Engineering Mathematics, 10-th edition, John Wiley & Sons, Singapore, 2011 2. Purcell, J, E, Rigdon, S., E., Calculus, 9-th edition, Prentice-Hall, New Jersey, 2006 3. James Stewart , Calculus, ed.7, Brooks/cole-Cengage Learning, Canada,2012

Dosen Pengampu: Lecturers:

Portofolio MK - 4

Matakuliah syarat: Prerequisite

-

mgg/ Week

Kemampuan akhir tiap tahapan belajar

(Sub-CPMK) / Final ability of each learning stage (LLO)

Penilaian / Assessment Bantuk Pembelajaran; Metode Pembelajaran; Penugasan Mahasiswa;

[ Estimasi Waktu] / Form of Learning; Learning Method;

Student Assignment; [ Estimated Time]

Materi Pembelajaran [Pustaka] /

Learning Material [Reference]

Bobot Penilaian /Assess-

ment Load (%)

Indikator / Indicator

Kriteria & Teknik / Criteria & Techniques

(1) (2) (3) (4) Tatap Muka / In-class (5)

Daring / Online (6)

(7) (8)

1

Pengantar Kuliah Introduction of Learning

Motivasi belajar, menyampaikan RPS, aturan perkuliahan dan sistem penilaian macam Evaluasi dan Prosentase masing masing evaluasi, Buku Ajar / sumber pustaka

Learning motivation, delivering learning plan, lectures rules and assessment systems such as evaluation and percentage of

each evaluation, textbooks / library sources

Mahasiswa mampu memahami pengertian sistem bilangan real, menyelesaikan suatu persamaan atau pertidaksamaan , Nilai Mutlak dan Persamaan Linear. Students are able to understand the real number system, solve an equation or inequality, Absolute

Ketepatan menyelesaikan persamaan atau pertidaksamaan dan mensketsa persamaan linear. The precision of solving equations or inequalities and sketching out linear equations.

Tugas 1 : Latihan soal tentang sistem bilangan, nilai mutlak, grafik persamaan dan garis, persamaan linear. Task 1 : Exercises on the real number systems, absolute values, graphs of

Kuliah, latihan soal-soal serta memberikan soal tugas [TM : 3 x 50”] [BM : 3 x 60”] [PT : 3 x 60”] Tutorial activities, exercises and provide assignment . [FF : 3 x 50”]

Kuliah, latihan soal-soal serta memberikan soal tugas melalui syncronous / asyncornous di MyITS Classroom. Tutorial activities, exercises and provide assignment via synchronous /

Sistem Bilangan Real, Persamaan atau pertidaksamaan , Nilai Mutlak dan mengaplikasikan persamaan linear. [1] Hal. 1 – 18 The real number system, Equalities or inequalities, Absolute Value and apply Linear equations.

Portofolio MK - 5

Value and Linear Equation.

equations and lines, linear equations.

[SA : 3 x 60”] [SS : 3 x 60”]

asynchronous in MyITS Classroom.

[1] pp. 1 – 18

Mahasiswa mampu menyelesaikan operasi peubah kompleks dan bentuk polar serta menarik akar-akar persamaan peubah kompleks.

Students are able to complete the operation of complex variables and their polar shapes and draw the roots of complex variable equations.

Ketepatan menyelesaikan: operasi peubah kompleks dan bentuk polar serta menarik akar-akar persamaan peubah kompleks. Accuracy to solving: the operation of complex variables and their polar forms and get the roots of complex variable equations.

Tugas 2: Latihan soal tentang bilangan kompleks dan teorema De Moivre. Task 2: Exercises on complex numbers and the De Moivre theorem

Operasi peubah kompleks dan bentuk polar serta menarik akar-akar persamaan peubah kompleks

[1] Hal. 19 – 30

The operation of complex variables and their polar shapes and draw the roots of complex variable equations

[1] pp. 19 – 30

2

Mahasiswa mampu menyelesaikan Sistem persamaan liner dalam bentuk matriks dengan mengunakan OBE

Students are able to solve systems of linear

Ketepatan menyatakan Sitem persamaan liner dalam bentuk matriks dan menyelesaikanya dengan OBE. Accuracy expresses a system of linear

Tugas 3: Latihan Soal tentang matriks dan operasinya, operasi baris elementer, sistem persamaan linear. Task 3: Exercises about matrices and their operations, elementary row

Kuliah, latihan soal-soal serta memberikan soal tugas [TM : 3 x 50”] [BM : 3 x 60”] [PT : 3 x 60”] Tutorial activities, exercises and

Kuliah, latihan soal-soal serta memberikan soal tugas melalui syncronous / asyncornous di MyITS Classroom. Tutorial activities, exercises and provide

Ikhtisar Matriks , dan persamaan linier. [1] hal: 31 – 50 Overview Matrix and linear equation

Portofolio MK - 6

equations in matrix form using ERO

equations in matrix form and solves them by ERO

operations, systems of linear equations.

provide assignment . [FF : 3 x 50”] [SA : 3 x 60”] [SS : 3 x 60”]

assignment via synchronous / asynchronous in MyITS Classroom.

[1] pp. 31 – 50

Asistensi 1 / 1st Assistence Latihan soal-soal [TM : 2 x 50”] Practice- Exercises [FF : 2 x 50”]

3 Evaluasi 1

1st Evaluation

Kuis 1, Bahan: Bab 1 dan 2 Quiz 1, Materials: Chapter 1 and 2

Ketajaman menyelesaikan soal soal yang terkait dengan materi Bab 1 dan 2 Acuity in solving problems related to the material in Chapters 1 and 2

TES TERTULIS

WRITTEN TEST

TES TERTULIS melalui MyITS

Classroom

WRITTEN TEST via MyITS Classroom

Mahasiswa mampu menentukan invers matriks dan menyelesaikan sistem persaam linear dengan determinan.

Students are able to determine the inverse of the matrix and solve systems of linear

Ketepatan Memperoleh Invers matriks , menyelesaikan sistem persamaan linier dengan determinan The accuracy of obtaining the inverse of the matrix, solving the system of

Tugas 4: Latihan soal tentang Determinan, minor, kofaktor dan aturan Cramer. Task 4: Exercices on determinants, minors,

Kuliah, latihan soal-soal serta memberikan soal tugas [TM : 3 x 50”] [BM : 3 x 60”] [PT : 3 x 60”] Tutorial activities, exercises and

Kuliah, latihan soal-soal serta memberikan soal tugas melalui syncronous / asyncornous di MyITS Classroom. Tutorial activities, exercises and provide assignment via

Invers matriks dan determinan

[1] hal: 52 – 68

Inverse matrix and determinants.

Portofolio MK - 7

equations using determinants.

linear equations with the determinant

cofactors and Cramer's rule.

provide assignment . [FF : 3 x 50”] [SA : 3 x 60”] [SS : 3 x 60”]

synchronous / asynchronous in MyITS Classroom.

[1] pp: 52 – 68

4 Mahasiswa mampu menentukan nilai eigen dan vektor eigen.

Students are able to determine eigenvalues and eigenvectors.

Ketepatan menemukan Nilai Eigen dan Vektor Eigen dari suatu matriks. The accuracy of finding Eigenvalues and Eigenvectors of a matrix.

Tugas 4: Latihan soal tentang nilai eigen dan vektor eigen Task 4: Ecercises on eigenvalues and eigenvectors

Kuliah, latihan soal-soal serta memberikan soal tugas [TM : 3 x 50”] [BM : 3 x 60”] [PT : 3 x 60”] Tutorial activities, exercises and provide assignment . [FF : 3 x 50”] [SA : 3 x 60”] [SS : 3 x 60”]

Kuliah, latihan soal-soal serta memberikan soal tugas melalui syncronous / asyncornous di MyITS Classroom. Tutorial activities, exercises and provide assignment via synchronous / asynchronous in MyITS Classroom.

Nilai eigen atau vektor eigen.

[1] hal: 52 – 68

Eigenvalues and eigenvectors.

[1] pp: 52 – 68

ASISTENSI KE 2 / 2nd Assistence Latihan soal-soal [TM : 2 x 50”] Practice- Exercises [FF : 2 x 50”]

5 Evaluasi ke 2

KUIS 2, Bahan: Bab 3

Ketajaman menyelesaikan soal yang terkait dengan materi Bab 3.

TES TERTULIS

TES TERTULIS melalui MyITS

Classroom

Portofolio MK - 8

2nd Evaluation QUIZ 2, The material is Chapter 3

Acuity in solving problems related to the material in Chapter 3.

WRITTEN TEST

WRITTEN TEST via MyITS Classroom

Mahasiswa mampu menyelesaikan operasi pada fungsi dan mampu mensketsa grafik fungsi.

Students are able to complete operations on functions and are able to sketch graph of functions.

Ketepatan menghitung operasi pada fungsi dan mampu mensketsa grafik fungsi. Precise calculating operations on functions and capable of sketching graph of functions.

Tugas 5: Latihan soal tentang definisi dan notasi fungsi, operasi pada fungsi dan sketsa grafik fungsi Task 5: Exercise on the definition and notation of functions, operations on functions and graph sketches of functions

Kuliah, latihan soal-soal serta memberikan soal tugas [TM : 3 x 50”] [BM : 3 x 60”] [PT : 3 x 60”] Tutorial activities, exercises and provide assignment . [FF : 3 x 50”] [SA : 3 x 60”] [SS : 3 x 60”]]


Operasi pada fungsi dan sketsa grafik fungsi.

[1] hal: 69 – 85 Function operations and graph of functions [1] pp: 69 – 85

6 Mahasiswa mampu memahami Sifat-sifat grafik fungsi dan mencari fungsi Invers.

Students are able to understand the properties of the function graph and

Ketepatan menerapkan Sifat-sifat grafik fungsi dan memperoleh Fungsi Invers. The precision of applying the Properties of the function graph and

Tugas 6: Latihan Soal tentang sifat-sifat grafik fungsi dan fungsi invers Task 6: Exercises on the properties of the graph of functions and inverse functions

Kuliah, latihan soal-soal serta memberikan soal tugas [TM : 3 x 50”] [BM : 3 x 60”] [PT : 3 x 60”] Tutorial activities, exercises and provide assignment . [FF : 3 x 50”]

Kuliah, latihan soal-soal serta memberikan soal tugas melalui syncronous / asyncornous di MyITS Classroom. Tutorial activities, exercises and provide assignment via synchronous /

Sifat-sifat grafik fungsi dan Fungsi Invers.

[1] hal: 86 – 99

Graph properties of functions and Inverse Functions. [1] page: 86-99

Portofolio MK - 9

look for the inverse function.

obtaining the Inverse Function.

[SA : 3 x 60”] [SS : 3 x 60”]

asynchronous in MyITS Classroom.

ASISTESI KE 3 / 3th Assistence Latihan soal-soal [TM : 2 x 50”] Practice- Exercises [FF : 2 x 50”]

7

Mahasiswa mampu menghitung Limit fungsi.

Students are able to calculate the function limit

Ketepatan menghitung Limit fungsi. The accuracy of calculating the Limit function.

Tugas 7: Latihan soal tentang notasi dan perhitungan limit. Task 7: Exercises about limit notation and calculation



Limit fungsi.

[1] hal: 101 - 114 Limit Function. [1] page: 101-114

Mahasiswa mampu menghitung limit tak hingga dan kekontinuan fungsi.

Students are able to calculate infinite limit and continuity.

Ketepatan menghitung limit tak hingga dan kekontinuan fungsi . The accuracy of calculating the infinite limit and the continuity.

Tugas 8: Latihan soal tentang Limit di tak hingga dan kekontinuan Task 8: Exercises about infinite limits and continuity.

Limit tak hingga dan kekontinuan fungsi .

[1] hal: 115 – 134 Infinite limit and continuity. [1] pp: 115 – 134

8 EVALUASI KE-3

UJIAN TENGAH SEMESTER

Ketajaman menyelesaikan soal soal

yang terkait dengan bilangan, fungsi, limit

dan kekontinuan suatu fungsi.

TERJADWAL Ujian tertulis Waktu: 100 “

TERJADWAL Daring

asinkronus Waktu: 90”

25

Portofolio MK - 10

3th Evaluation

MIDTERM EXAM

TES TERTULIS

Sharpness in solving problems related to the number, function, limit

and continuity of a function.

WRITTEN TEST

SCHEDULED Written

examination Time: 100 “

SCHEDULED Asyncronous

Time: 90”

9 Mahasiswa mampu menentukan Garis singgung dan laju perubahan serta menentukan turunan fungsi. Students are able to determine tangent lines and rates of change and determine derivative functions

Ketepatan menentukan Garis singgung dan laju perubahan serta menentukan turunan fungsi. The precision determines the tangent lines and rates of change and determines the derivative of the function.

Tugas 9:

Latihan soal tentang garis singgung dan laju perubahan, fungsi turunan.

Task 9:

Exercises on tangent lines and rates of change, the derivative function.



Garis singgung dan laju perubahan serta menentukan turunan fungsi.

[1] hal: 135 – 146 Tangent lines and rates of change and determine the derivative of the function. [1] pp: 155-146

10 Mahasiswa mampu menentukan Turunan dengan diferensial implisit dan menganalisa grafik fungsi.

Ketepatan menentukan Turunan dengan diferensial implisit dan menganalisa grafik fungsi.

Tugas 10: Latihan soal tentang diferensiasi, aturan rantai dan diferensiasi implisit Task 10:

Kuliah, latihan soal-soal serta memberikan soal tugas [TM : 3 x 50”] [BM : 3 x 60”] [PT : 3 x 60”]

Kuliah, latihan soal-soal serta memberikan soal tugas melalui syncronous / asyncornous di MyITS Classroom.

Menentukan turunan dengan diferensial implisit dan menganalisa grafik fungsi.

[1] hal: 147 – 164

Portofolio MK - 11

Students are able to determine derivatives with implicit differentials and analyze graphs of functions.

Determine the accuracy of the derivative by implicit differential and analyze the graph of the function.

Exercises on differentiation, chain rule and implicit differentiation.

Tutorial activities, exercises and provide assignment . [FF : 3 x 50”] [SA : 3 x 60”] [SS : 3 x 60”]

Tutorial activities, exercises and provide assignment via synchronous / asynchronous in MyITS Classroom.

Determine the derivative with implicit differential and analyze the graph of the function. [1] page: 147 – 164

ASISTENSI KE 4 / 4th Asistence Latihan soal-soal [TM : 2 x 50”] Practice- Exercises [FF : 2 x 50”]

11 Mahasiswa mampu

Menyelesaikan laju-laju yang berkaitan dan menentukan selang naik/turunnya fungsi dan kecekungangannya dengan menggunakan uji turunan pertama dan kedua. Students are able to complete the rates associated with and determine the increase / decrease interval of the function and its concave by using the

Ketepatan menghitung laju-laju yang berkaitan dan menentukan selang naik/turunnya fungsi dan kecekunangannya dengan menggunakan uji turunan pertama dan kedua. The accuracy of calculating the corresponding rates and determining the increase / decrease of the function's interval and its proportions using the first and second derivative tests.

Tugas 11: Latihan soal tentang laju – laju yang berkaitan, selang naik dan selang turun, kecekungan fungsi, ekstrim relatif, uji turunan pertama dan kedua. Task 11: Exercises on the associated rates, the rise and fall intervals, the concavity of the function, the relative extremes, the first and second derivative tests.



Laju-laju yang berkaitan dan menentukan selang naik/turunnya fungsi dan kecekunangannya dengan menggunakan uji turunan pertama dan kedua.

[1] hal: 165 – 190

Related rates and determine the increase / decrease interval of the function and its proportions using the first and second derivative tests.

Portofolio MK - 12

first and second derivative tests.

[1] pp: 165 – 190

Mahasiswa mampu menentukan nilai maksimum/ minimum fungsi serta mampu mensketsa grafik fungsi polinomial, rasional dan grafik yang lainnya. Students are able to determine the maximum / minimum value of functions and are able to sketch polynomial, rational and other graphical graphs of functions.

Ketepatan menghitung nilai maksimum/ minimum fungsi serta mampu mensketsa grafik fungsi polinomial, rasional dan grafik yang lainnya. Accuracy in calculating the maximum / minimum value of functions and being able to sketch polynomial, rational and other graphical functions.

Tugas 12: Latihan soal tentang grafik polinomial dan fungsi rasional, nilai maksimum atau minimum suatu fungsi. Task 12: Exercises on graphing polynomials and rational functions, the maximum or minimum values of a function.

Nilai maksimum/ minimum fungsi serta mampu mensketsa grafik fungsi polinomial, rasional dan grafik yang lainnya .

[1] hal: 191 - 211 The maximum / minimum value of the function and able to sketch polynomial, rational and other graphical graphical functions. [1] pp: 191 – 211

12

ASISTENSI KE-5 / 5th Assistence Latihan soal-soal [TM : 2 x 50”] Practice- Exercises [FF : 2 x 50”]

EVALUASI KE-4

KUIS KE_3: Bahan Turunan Fungsi dan laju-laju yang terkait. 3th QUIZ:

Ketajaman menyelesaikan soal soal yang terkait dengan turunan fungsi dan laju-laju yang terkait.

TES TERTULIS Waktu: 60 menit

TES TERTULIS Waktu: 50 menit melalui MyITS

Classroom

Portofolio MK - 13

4th Evaluation Materials: Derived Functions and their associated rates.

Sharpness in solving problems related to the derivative of the function and its associated rates.

WRITTEN TEST Time: 60 minutes


In myITS classroom

13 Mahasiswa mampu menyelesaikan masalah yang berkaitan dengan persoalan-persoalan maksimum/minimum. Students are able to solve problems related to maximum / minimum problems.

Ketepatan menyelesaikan masalah yang berkaitan dengan persoalan-persoalan maksimum/minimum. Accuracy in solving problems related to maximum / minimum problems

Tugas 13: Latihan soal tentang Aplikasi masalah maksimum atau minimum, teorema rolle dan teorema nilai rata-rata Task 13: Exercises on the application of the maximum or minimum problem, the rolle theorem and the mean value theorem



Masalah yang berkaitan dengan persoalan-persoalan maksimum/minimum.

[1] hal: 212 - 236

Problems relating to maximum / minimum issues.

[1] pp: 212 – 236

Mahasiswa mampu menentukan Anti turunan fungsi dan Luas sebagai limit jumlahan. Students are able to determine the derivative of the function and area as the sum limit.

Ketepatan menentukan Anti turunan fungsi dan Luas sebagai limit jumlahan. The precision of determining the derivative of function and Area as the sum limit.

Tugas 14: Latihan soal tentang anti turunan, integral tak tentu, integrasi dengan substitusi dan luas sebagai limit Task 14: Exercise on anti-derivative, indefinite integral, integration with

Anti turunan fungsi dan Luas sebagai limit jumlahan. [1] hal: 237 - 259 Anti derivative function and Area as the sum limit. [1] pp: 237 – 259

Portofolio MK - 14

substitution and area as limit

14 Mahasiswa mampu menentukan Turunan dengan menggunakan Teorema Fundamental Kalkulus I dan II . Students are able to determine the derivative using the Fundamental Theorem of Calculus I and II.

Ketepatan menentukan Turunan dengan menggunakan Teorema Fundamental Kalkulus I dan II . The accuracy of determining the derivative using the fundamental Theorem of Calculus I and II.

Tugas 15: Latihan soal tentang integral tertentu, Teorema Fundamental Kalkulus I, integral tertentu dengan substitutsi, hampiran jumlahan Riemann, Teorema Fundamental Kalkulus II Task 15: Exercises on certain integrals, fundamental theorem of Calculus I, certain integrals with substitutions, Riemann sum approximation, the fundamental Theorem of Calculus II



Theorema Fundamental Kalkulus I dan II [1] hal: 260 - 297 The Fundamental Theorems of Calculus I and II [1] page: 260 – 297

ASISTENSI KE 6 / 6th Assistence Latihan soal-soal [TM : 2 x 50”] Practice- Exercises [FF : 2 x 50”]

15 – 16

EVALUASI KE_5

UJIAN AKHIR SEMESTER

Ketajaman menyelesaikan soal soal yang terkait dengan turunan dan anti turunan.

TERJADWAL Ujian tertulis Waktu: 100”

TERJADWAL Daring

asinkronus Waktu: 90”

25

Portofolio MK - 15

5th Evaluation

Final Exam

TES TERTULIS Sharpness in solving problems related to derivatives and anti derivatives. WRITTEN TEST

SCHEDULED Written

examination Time: 100”

SCHEDULED

Written examination asyncronous my ITS classroom.

Time: 90”

Catatan sesuai dengan SN Dikti Permendikbud No 3/2020:

1. Capaian Pembelajaran Lulusan PRODI (CPL-PRODI) adalah kemampuan yang dimiliki oleh setiap lulusan PRODI yang merupakan internalisasi dari sikap, penguasaan pengetahuan dan ketrampilan sesuai dengan jenjang prodinya yang diperoleh melalui proses pembelajaran.

2. CPL yang dibebankan pada mata kuliah adalah beberapa capaian pembelajaran lulusan program studi (CPL-PRODI) yang digunakan untuk pembentukan/pengembangan sebuah mata kuliah yang terdiri dari aspek sikap, ketrampulan umum, ketrampilan khusus dan pengetahuan.

3. CP Mata kuliah (CPMK) adalah kemampuan yang dijabarkan secara spesifik dari CPL yang dibebankan pada mata kuliah, dan bersifat spesifik terhadap bahan kajian atau materi pembelajaran mata kuliah tersebut.

4. Sub-CP Mata kuliah (Sub-CPMK) adalah kemampuan yang dijabarkan secara spesifik dari CPMK yang dapat diukur atau diamati dan merupakan kemampuan akhir yang direncanakan pada tiap tahap pembelajaran, dan bersifat spesifik terhadap materi pembelajaran mata kuliah tersebut.

5. Indikator penilaian kemampuan dalam proses maupun hasil belajar mahasiswa adalah pernyataan spesifik dan terukur yang mengidentifikasi kemampuan atau kinerja hasil belajar mahasiswa yang disertai bukti-bukti.

6. Kreteria Penilaian adalah patokan yang digunakan sebagai ukuran atau tolok ukur ketercapaian pembelajaran dalam penilaian berdasarkan indikator-indikator yang telah ditetapkan. Kreteria penilaian merupakan pedoman bagi penilai agar penilaian konsisten dan tidak bias. Kreteria dapat berupa kuantitatif ataupun kualitatif.

7. Teknik penilaian: tes dan non-tes. 8. Bentuk pembelajaran: Kuliah, Responsi, Tutorial, Seminar atau yang setara, Praktikum, Praktik Studio, Praktik Bengkel, Praktik Lapangan, Penelitian, Pengabdian Kepada Masyarakat

dan/atau bentuk pembelajaran lain yang setara. 9. Metode Pembelajaran: Small Group Discussion, Role-Play & Simulation, Discovery Learning, Self-Directed Learning, Cooperative Learning, Collaborative Learning, Contextual

Learning, Project Based Learning, dan metode lainnya yg setara. 10. Materi Pembelajaran adalah rincian atau uraian dari bahan kajian yg dapat disajikan dalam bentuk beberapa pokok dan sub-pokok bahasan. 11. Bobot penilaian adalah prosentasi penilaian terhadap setiap pencapaian sub-CPMK yang besarnya proposional dengan tingkat kesulitan pencapaian sub-CPMK tsb., dan totalnya

100%. 12. TM=Tatap Muka, PT=Penugasan Terstuktur, BM=Belajar Mandiri. / FF = Face to Face, SA = Structured Assignment, SS = Self Study

Protofolio MK - 1

PORTOFOLIO MATA KULIAH

COURSE PORTFOLIO

NAMA MK / COURSE NAME : Fisika 1 / Physics 1 KODE MK / COURSE ID : SF184101 SEMESTER / SEMESTER : 1 NAMA DOSEN / KELAS / TIM LECTURER

: Fahmi Astuti / 49 / Tim Dosen SKPB ITS

NAMA KOORDINATOR MK COURSE COORDINATOR

: Susilo Indrawati

Kantor Penjaminan Mutu & Direktorat Akademik - ITS, Januari 2021 Portfolio MK - 2

I. Halaman Pengesahan / Signature Page

KURIKULUM 2018-2023 CURRICULUM 2018-2023 Prodi Fisika S1 Undergraduate Physics Study Programme Nama MK: Fisika 1 Course Name: Physics 1

SF184101

Sem: Gasal / Genap Sem: Odd / Even Tahun 2020 Year 2020

Kode: SF184101 ID: SF184101

Bobot sks : 4 sks Credit: 3

Rumpun MK: …… Course Group: ......

OTORISASI AUTHORIZATION

Koordinator MK Course Coordinator Susilo Indrawati

Ketua RMK RMK Coordinator: Name

Ka. Prodi Head of Study Programme Name

TTD/signature

TTD/signature

TTD/signature

Tanggal: ….. Date:

Tanggal: …. Date:

Tanggal:… Date:


Tabel I.1 Tabel Capaian Pembelajaran Lulusan (CPL) program studi S1 Fisika

Tabel I.1 Programme Learning Outcomes Table (PLO) of Undergraduate Physics Study Program

Kode CPL PLO Code

Deskripsi CPL PLO Description

CPL-1 PLO-1

mampu menerapkan pemikiran logis, kritis, sistematis, dan inovatif dalam konteks pengembangan atau implementasi ilmu pengetahuan dan teknologi yang memperhatikan norma beragama, bermasyarakat, berbangsa dan bernegara serta etika ilmiah sesuai dengan bidang keahliannya able to apply logical, critical, systematic, and innovative thinking in the context of developing or implementing science and technology which takes into account the norms of religion, society, nation and state as well as scientific ethics in accordance with their field of expertise

CPL-3 PLO-3

mampu melakukan manajemen, leadership, dan bekerja sama dalam tim dalam kapasitas sebagai anggota atau ketua kelompok dan bertanggungjawab terhadap pencapaian hasil kerja tim. able to do management, leadership, and teamwork in the capacity as a member or group leader and responsible for the achievement of team.

CPL-4 PLO-4

mampu berkomunikasi dan mengimplementasikan teknologi informasi sehingga dapat mendokumentasikan, menyimpan, dan mengamankan data able to communicate and implement information technology so as to document, store, and secure data

CPL-5 PLO-

mampu mengembangkan diri dan mengimplementasikan wawasan lingkungan dan kewirausahaan berbasis teknologi. able to do self-development and implement environmental insight and technology-based entrepreneurship.

CPL-6 PLO-6

menguasai konsep teoretis fisika klasik dan fisika modern secara mendalam melalui identifikasi sifat-sifat fisis dari suatu sistem fisis. master the theoretical concepts of classical physics and modern physics in depth through identification of the physical properties of a physical system.

CPL-7 PLO-7

mampu menguasai prinsip dan aplikasi fisika matematika, fisika komputasi, dan instrumentasi baik cara mengoperasikan instrumen fisika secara umum maupun analisis data dan informasi dari instrumen tersebut. able to master the principles and applications of mathematical physics, computational physics, and instrumentation both how to operate physical instruments in general and analyze data and information from these instruments.

CPL-8 PLO-8

mampu menguasai prinsip, karakteristik, fungsi, dan aplikasi teknologi yang relevan dan terupdate dalam bidang fisika beserta aplikasi piranti lunaknya. able to master the principles, characteristics, functions, and relevant and updated technological applications in the field of physics and software applications.


CPL-9 PLO-9

mampu merumuskan gejala dan masalah fisis serta mampu membuat pemodelan / simulasi matematis atau fisis yang sesuai hipotesis berdasarkan hasil observasi dan eksperimen yang dilakukan. able to formulate symptoms and physical problems and be able to make mathematical or physical modeling / simulation that fits the hypothesis based on the results of observations and experiments.

CPL-10 PLO-10

mampu memecahkan permasalahan fisis secara komprehensif dengan berbagai solusi alternatif dan menganalisis sistem fisis yang ada dan memprediksi potensi penerapan perilaku fisis dalam teknologi informasi dalam konteks pengembangan keilmuan dan implementasi bidang keahlian fisika lebih lanjut. able to comprehensively solve physical problems with various alternative solutions and analyze existing physical systems and predict the potential application of physical behavior in information technology in the context of scientific development and further implementation of the field of physics expertise.

CPL-11 PLO-11

mampu mendiseminasikan hasil kajian masalah dan perilaku fisis berdasarkan kaidah ilmiah baku dalam komunikasi lisan dan tulisan dalam bentuk laporan atau karya ilmiah sesuai kaidah penulisan yang benar dengan memahami mekanisme plagiarisme serta mempublikasikannya di tingkat nasional atau internasional. able to disseminate the results of problem studies and physical behavior based on standard scientific principles in oral and written communication in the form of reports or scientific works according to correct writing rules by understanding the plagiarism mechanism and publishing them at the national or international level.

CPL-12 PLO-12

mampu beradaptasi, bekerja sama, berkreasi, berkontribusi, dan berinovasi dalam menerapkan ilmu pengetahuan pada kehidupan bermasyarakat serta memiliki wawasan global dalam perannya sebagai warga dunia, serta mampu menggunakan bahasa internasional. able to adapt, work together, be creative, contribute, and innovate in applying science to social life and have a global insight in their role as a global citizen, and are able to use international languages.

[Keterangan: CPL yang dibebankan ke MK disorot dengan warna kuning]


Tabel I.2 Tabel CPL Mata Kuliah Table I.2 Course PLO

Capaian Pembelajaran Mata Kuliah (CPMK) Course Learning Outcomes (CLO)

CP MK-1 CLO-1

Mampu menjelaskan dan menggunakan besaran, satuan, dan vektor, serta mampu menerapkan operasi matematika pada vektor secara geometris dan analitis untuk menyelesaikan permasalahan vektor. Able to explain and use quantities, units and vectors, and be able to apply mathematical operations on vectors geometrically and analytically to solve vector problems.

CP MK-2 CLO-2

Mampu mendefinisikan Pergeseran posisi, kecepatan, percepatan gerak lurus dan melengkung secara grafis dan matematis serta mendemontrasikannya (P). Able to define position shift, velocity, straight and curved motion acceleration graphically and mathematically and demonstrate it (P).

CP MK-3 CLO-3

Mampu menggunakan konsep dan teori pergeseran posisi, kecepatan, percepatan gerak lurus dan melengkung serta mendemontrasikannya (M-4) Able to use the concepts and theories of displacement, velocity, linear and angular acceleration and demonstrate it (M-4)

CP MK-4 CLO-4

Mahasiswa mampu menerapkan azas impuls dan momentum, kekekalan momentum, proses tumbukan kedalam penyelesaian soal Ale to apply impulse and momentum principles, conservation of momentum, collision process in solving problems

CP MK-5 CLO-5

Memahami prinsip gerak benda tegar dan gerak menggelinding dan mampu menerapkan dalam penyelesaian soal Understand the principles of rigid motion and rolling motion and be able to apply them in solving problems

CP MK-6 CLO-6

Mahasiswa memahami getaran harmonik, hukum Hooke pada elastisitas tarik dan puntir Understand harmonic vibrations, Hooke's law on tensile and torsional elasticities

CP MK-7 CLO-7

Mahasiswa memahami peristiwa aliran fluida statisioner dan peranan viskositas pada aliran fluida. Understand the events of stationary fluid flow and the role of viscosity in fluid flow.

CP MK-8 CLO-8

Mahasiswa mampu merumuskan masalah melalui analisis berdasarkan hasil eksperimen Able to formulate problems through analysis based on experimental results


II. CPL yang dibebankan pada MK / PLO Charged to the Course Tabel II.1 Matriks CPL Prodi dan CP MK / Table II.1 PLO Program Matrix.

CPL Prodi / PLO Program CP MK / CLO

CPL-1 PLO-1

CPL-2 PLO-2

CPL-3 PLO-3

CPL-4 PLO-4

CPL-5 PLO-5

CPL-6 PLO-6

CPL-7 PLO-7

CPL-8 PLO-8

CPL-9 PLO-9

CPL-10 PLO-10

CPL-11 PLO-11

CPL-12 PLO-12

CP MK-1 CLO-1

X

CP MK-2 CLO-2

X

CP MK-3 CLO-3

X

CP MK-4 CLO-4

X

CP MK-5 CLO-5

X

CP MK-6 CLO-6

X

CP MK-7 CLO-7

X

CP MK-8 CLO-8

X

*Keterangan: Jika di RPS dituliskan asesmen terhadap Sub CP MK, maka CP MK pada form penilaian di integra.its.ac.id (tabel di atas) adalah sebagai Sub CP MK

* Note: If the RPS includes an assessment of the Sub PLO, then the PLO on the assessment form at integra.its.ac.id (table above) is the Sub PLO


III. Bobot Penilaian / Asesmen CP MK dan CPL Assessment Weight / CLO and PLO Assessment

Bobot Penilaian / Asesmen (max 8 Penilaian):

Assessment Weight / Assessment ( max 8):

Tabel III.1 Bobot Penilaian/Asesmen (dalam %)

Table III.1 Assessment Weight/Assessment (%)

Evaluasi Evaluation

Tugas 1 (%)

Task 1 (%)

Quiz 1 (%)

Quiz (%)

ETS (%) Midterm Test (%)

Tugas 2 (%)

Task 2 (%)

Quiz 2 (%)

Quiz 2 (%)

EAS (%) Final

Test (%)

Praktikum (%) Practicum (%)

Total (%) Total (%)

Bobot Weight

12,5 12,5 12,5 12,5 12,5 12,5 25 100

Bobot CPL (sesuai jumlah CPL yang dibebankan pada MK)

PLO Weight (in accordance with the amount of PLO charged to the course)

Tabel III.2 Sebaran bobot tiap CP MK terhadap CPL Prodi (dalam %)

Tabel III.2 Weight distribution of each CLO against the PLO of the Study Programme (%)

CPL PLO

CPL-1 (%)

PLO-1 (%)

CPL-2 (%)

PLO-2 (%)

CPL-3 (%)

PLO-3 (%)

CPL-4 (%)

PLO-4 (%)

CPL-5 (%)

PLO-5 (%)

CPL-6 (%)

PLO-6 (%)

CPL-7 (%)

PLO-7 (%)

CPL-8 (%)

PLO-8 (%)

CPL-9 (%)

PLO-9 (%)

CPL-10 (%)

PLO-10 (%)

CPL-11 (%)

PLO-11 (%)

CPL-12 (%)

PLO-12 (%)

Total (%)

Total (%)

Bobot Weight

75 25 100

Bobot CP MK (Max 8 CP MK)

CLO Weight (Max 8 CLO)

Tabel III.3 Sebaran bobot tiap CP MK (%)

Tabel III.3 Weight distribution of each CLO (%)

Sub CP MK Sub CLO

CP MK-1 (%)

CLO-1(%)

CP MK-2 (%)

CLO-2(%)

CP MK-3 (%)

CLO-3(%)

CP MK-4 (%)

CLO-4(%)

CP MK-5 (%)

CLO-5(%)

CP MK-6 (%)

CLO-6(%)

CP MK-7 (%)

CLO-7(%)

CP MK-8 (%)

CLO-8(%)

Total (%)

Total

Bobot Weight

8,5 11 11 7 17,5 13 7 25 100


Tabel matrix Penilaian / Asesmen - CPL (beri tanda centang untuk CPL yang dinilai)

Assessment Matrix Table / Assessment – PLO (put a check mark for assessed PLO)

Tabel III.4 Matriks Penilaian dan CPL Prodi (dalam %)

Table III.4 Assessment Matrix and PLO Program (%)

Evaluasi Evaluation

CPL-1 (%) PLO-1 (%)

CPL-2 (%) PLO-2 (%)

CPL-3 (%) PLO-3 (%)

CPL-4 (%) PLO-4 (%)

CPL-5 (%) PLO-5 (%)

CPL-6 (%) PLO-6 (%)

CPL-7 (%) PLO-7 (%)

CPL-8 (%) PLO-8 (%)

CPL-9 (%) PLO-9 (%)

CPL-10 (%) PLO-10 (%)

CPL-11 (%) PLO-11 (%)

CPL-12 (%) PLO-12 (%)

Tugas 1 Task 1

12,5

Quiz 1 Quiz 1

12,5

ETS Midterm Test

12,5

Tugas 2 Task 2

12,5

Quiz 2 Quiz 2

12,5

EAS Final Test

12,5

Praktikum Practicum

25

Catatan: Bila jumlah Penilaian / Asesmen lebih dari 8, maka dikelompokkan / dijadikan dalam jumlah maksimum 8 Penilaian - dengan tetap memperhatikan CP MK yang dinilai

Note: If the number of Ratings / Assessments is more than 8, then it will be grouped / made into a maximum number of 8 Ratings - with due observance of the CLO that is assessed


Table matrix Penilaian / Asesmen –CP MK (beri tanda centang untuk CP MK yang dinilai)

Assessment matrix table / Assessment –CLO (put a check mark for assessed CLO)

Tabel III.5 Matriks Penilaian dan CP MK (dalam %)

Table III.5 Assessment Matrix and CLO (%)

Evaluasi Evaluation

CP MK-1 (%) CLO-1 (%)

CP MK-2 (%) CLO-2 (%)

CP MK-3 (%) CLO-3 (%)

CP MK-4 (%) CLO-4 (%)

CP MK-5 (%) CLO-5 (%)

CP MK-6 (%) CLO-6 (%)

CP MK-7 (%) CLO-7 (%)

CP MK-8 (%) CLO-8 (%)

Tugas 1 Task 1

3 3 3 3,5

Quiz 1 Quiz 1

2,5 5 5

ETS Midterm Test

3 3 3 3,5

Tugas 2 Task 2

4,5 4 4

Quiz 2 Quiz 2

6,5 6

EAS Final Test

6,5 3 3

Praktikum Practicum

25


IV. Rencana Penilaian / Asesmen & Evaluasi (RAE) Assessment Plan / Assessment & Evaluation (AEP)

Tabel IV.1 Rencana Asesmen dan Evaluasi

Table IV.1 Assessment and Evaluation Plan (AEP)

RENCANA PENILAIAN / ASSESSMENT & EVALUASI ASSESSMENT PLAN / ASSESSMENT & EVALUATION MK : Fisika 1 COURSE: PHYSICS 1 Kelas: Class:

RA&E A&EP

Tuliskan Kode Dok Please Write Doc ID

Kode: SF184101 ID: SF184101

Bobot sks (T/P): 4 sks Credit (T/P): 4

Rumpun MK: Coure Group:

Smt: 1 Smt: 1


Penyusun RA & E Tuliskan Nama Dosen Penyusun RAE AEP Compiler Please write down the name of the AEP Compiler

Koordinator RMK Tuliskan Nama Koordinator RMK Course Coordinator Please write down the name of the Course Coordinator

Ka Prodi Tuliskan Nama Head of Study Programme Please write down the name of the Head of Study Programme

Mg ke (1) /

Week (1)

CP-MK* (2)

CLO* (2)

Teknik dan Bentuk Penilaian / Asesmen (3)

Assessment Form (3)

Bobot (%) (4)

Weight (%) (4)

1 CP MK-1 CLO-1

Diskusi + Latihan Soal Tugas 1 (1) Quiz 1 ETS Discussion + Exercises Task 1 (1) Quiz 1 Midterm Test

3

2,5 3

2,3 CP MK-2

Diskusi + Latihan Soal Tugas 1 (2) Quiz 1 ETS

3 5 3

5


Mg ke (1) /

Week (1)

CP-MK* (2)

CLO* (2)


Assessment Form (3)

Bobot (%) (4)

Weight (%) (4)

CLO-2 CP MK-8 CLO-8

Discussion + Exercises Task 1 (2) Quiz 1 Midterm Test Praktikum (1) Practicum (1)

4,5 CP MK-3 CLO-3 CP MK-8 CLO-8

Diskusi + Latihan Soal Tugas 1 (3) Quiz 1 ETS Discussion + Exercises Task 1 (3) Quiz 1 Midterm Test Praktikum (2) Practicum (2)

3 5 3

5

6,7 CP MK-4 CLO-4

Discussion + Exercises Tugas 1 (4) ETS Discussion + Exercises Task 1 (4) Midterm Test

3.5 3,5

8 CP MK-1, CP MK-2, CP MK-3, CP MK-4 CLO-1, CLO-2, CLO-3, CLO-4

Evaluasi Tengah Semester (ETS) Midterm Test

9,10 CP MK-5 CLO-1

Diskusi + Latihan Soal Tugas 2 (1) Quiz 2 EAS Discussion + Exercises Task 2 (1) Quiz 2 Final Test

4,5 6,5 6,5


Mg ke (1) /

Week (1)

CP-MK* (2)

CLO* (2)


Assessment Form (3)

Bobot (%) (4)

Weight (%) (4)

CP MK-8 CLO-8

Praktikum (3) Practicum (3)

5


Diskusi + Latihan Soal Tugas 2 (2) Quis 2 EAS Discussion + Exercises Task 2 (2) Quiz 2 Final Test Praktikum (4) Practicum (4)

4 6 3

5


Diskusi + Latihan Soal Tugas 2 (3) EAS Discussion + Exercises Task 2 (3) Quiz 2 Final Test Praktikum (5) Practicum (5)

4 3

5

15,16 CP MK-5, CP MK-6, CP MK-7 CLO-5, CLO-6, CLO-7

Evaluasi Akhir Semester (EAS) Final Test

Total bobot penilaian Total score

100%

*Keterangan: Jika di RPS dituliskan penilaian terhadap Sub CP MK, maka CP MK pada form penilaian di integra.its.ac.id (tabel di atas) adalah sebagai Sub CP MK

*Note: If the Semester Learning Plan (RPS) includes an assessment of the Sub PLO, then the PLO on the assessment form at integra.its.ac.id (table above) is the Sub PLO


V. Penilaian CP MK - (maks jumlah CP MK = 8) / CLO Scoring – (max CLO = 8) Perhitungan akan dilakukan oleh sistem / Automatically calculated by System

No NRP

Mahasiswa Student ID

Nama Mahasiswa

Student Name

Nilai CP MK 1 CLO 1 Score


Nilai CP MK 3

CLO 3 Score ..


Keterangan (lulus / Tidak Lulus)

Passed / Not Passed Action Plan

1 2 3 …

VI. Penilaian CPL yang dibebankan pada MK berdasarkan pada nilai CP MK / CLO Scoring charged to the Course Perhitungan akan dilakukan oleh sistem / Automatically calculated by System

No NRP


Nama Mahasiswa

Student Name

Nilai CPL.. PLO

Score

Nilai CPL … PLO Score ..

Nilai CPL.. PLO Score

Nilai CPL.. PLO Score

Keterangan (lulus / Tidak Lulus)

Passed / Not Passed Action Plan

1 2 3 …

Portofolio MK - 14

VII. Tindakan (Action Plan) hasil Evaluasi untuk Perbaikan Action Plan for Evaluation and Improvement

Tuliskan tindakan yang akan dilakukan baik oleh Dosen – maupun usulan ke Prodi untuk Perbaikan – terkait dengan evaluasi ketercapaian CPL

Write down the actions that the Lecturer will take - as well as suggestions to the Study Program for Improvement - related to the evaluation of PLO achievement

Unsur yang di evaluasi Evaluated elements

CPL PLO

Prodi Study Programme

CP MK * CLO *

Dosen Lecturer

Model Pembelajaran Learning Model

Prodi + Dosen Study Programme + Lecturer

Bentuk asesmen Assessment Form


*Jika di dalam dokumen RPS dituliskan dalam Sub CP MK, maka unsur yang dievaluasi adalah Sub CP MK

*If the Semester Learning Plan document is written in Sub CLO, then the element evaluated wil be Sub CLO

Portofolio MK - 15

Lampiran Attachment

A. Rencana Tugas

Task Plan

Rencana Tugas & Rubrik Penilaian

Task Plan & Assessment Rubric

JENIS ASSESMENT ASSESSMENT

TYPE

WAKTU TIME

MATERI THEORY

BOBOT (%) WEIGHT

METODE METHOD

NILAI (SCORE)

(1) (2) (3) (4) (5) (6) TUGAS TASK

Tiap bab Each chapt

25 Online/Offline 0-100

QUIZ 1 QUIZ 1

Minggu ke 5 Week 5

Bab 1 & 2 Chapt 1 & 2

12.5 Online/Offline 0-100

ETS MIDTERM TEST

Minggu ke 8 Week 8

Bab 1,2 3 & 4 Chapt 1, 2, 3, & 4


QUIZ 2 QUIZ 2

Minggu ke 12 Week 12

Bab 5,6 Chapt 5,6


EAS FINAL TEST

Minggu Ke 15/16 Week 15/16

Bab 5,6,&7 Chapt 5,6, & 7


Praktikum PRACTICUM

25% Online/offline 0-100

Rubrik Penilaian ETS / Midterm Test Assessment Rubric

NO SOAL QUESTION NUMBER

MATERI THEORY

INDIKATOR INDICATOR

BOBOT (%) WEIGHT (%)

NILAI SCORE

1 Vektor Vector

Mahasiswa dapat menghitung besaran skalar dan besaran vektor serta menerapkan dan menggunakan aljabar vektor able to calculate scalar quantities and vector quantities and apply and use vector algebra

25 0-25

2 Kinematika partikel Particle kinematics

Ketepatan menghitung penyelesaian soal-soal yang berhubungan.Pergeseran posisi, kecepatan, percepatan, gerak lurus, gerak lengkung (parabola dan melingkar); gerak relatif

Accuracy in calculating the problems related to shifting

25 0-25

Portofolio MK - 16

of position, velocity, acceleration, straight motion, curved motion (parabolic and circular); relative motion

3 Dinamika partikel Particle dynamics

Ketepatan menghitung penyelesaian soal-soal yang berhubungan dengan Hukum Newton I, Hukum Newton II, dan Hukum Newton III Accuracy in calculating problems related to Newton's Law I, Newton's Law II, and Newton's Law III

25 0-25

4 Kerja dan usaha Force

Ketepatan mengerjakan soal terkait kerja dan energi: teorema kerja energi, hukum kekekalan energi mekanik Accuracy in solving problems related to the theorem of energy, the law of conservation of mechanical energy

25 0-25

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Rubrik Penilaian EAS / Final Test Assessment Rubric

Mahasiswa tiap nomor mengerjakan satu kode soal yang terpilih secara acak dengan waktu pengerjaan maksimal 20 menit

For each question number, students are expected to answer a randomly selected problem code within 20 minutes

KODE SOAL QUESTION

CODE

MATERI THEORY

INDIKATOR INDICATOR

BOBOT (%) WEIGHT (%)

NILAI SCORE

1 Dinamika rotasi Rotation dynamics

Ketepatan menjelaskan konsep dan teori dinamika rotasi, pusat massa, dan momen inersia, serta penggunaannya Accuracy in explainin the concepts and theories of the dynamics of rotation, center of mass, and moment of inertia, and their use

25 0-25

2 Prinsip benda tegar Rigid body principle

Ketepatan menerapkan prinsip benda tegar dan gerak menggelinding dalam penyelesaian soal-soal dinamika rotasi Accuracy in applying the rigid body principle and rolling motion in solving rotational dynamics problems

25 0-25

3 Getaran Vibration

menyelesaikan soal-soal mengenai harmonis sederhana, bandul matematis, bandul fisis, bandul puntir, gabungan getaran selaras Solving problems regarding simple harmonics, mathematical pendulum, physical pendulum, torsional pendulum, combination of harmonious vibrations

25 0-25

4 Mekanika fluida Fluid mechanics

Ketepatan menghitung penyelesaian soal-soal, hidrostatis, prinsip Pascal, Archimedes, dan Tegangan Permukaan Accuracy in calculating problems relatod to hydrostatic, Pascal's principle, Archimedes, and Surface Tension

25 0-25

Portofolio MK - 18

B. Rubrik / Marking Scheme Assessment Rubric / Marking Scheme Assessment

Marking scheme untuk soal hitungan didasarkan pada:

• Teori dasar/latar belakang: 20% • Ilustrasi (gambar/skema): 10% • Rumus dan penurunan: 30% • Perhitungan dan penjelasan: 30% • Simpulan: 10%

Marking scheme untuk soal esai didasarkan pada:

• Teori dasar/latar belakang dan ketepatan penentuan pokok pikiran: 20% • Ilustrasi (gambar/skema): 10% • Penurunan (jika diperlukan), pemakaian, dan pemaknaan rumus fisika pendukung: 30% • Uraian/penjelasan (explanation) penguat pokok pikiran: 30% • Simpulan/penutup: 10%

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C. Bukti – soal (Asesmen dan Tugas) Assessment and Task

TUGAS

EXERCISES

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KUIS 1

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ETS

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KUIS 2

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EAS

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D. Bukti jawaban soal dan Hasil Tugas Jawaban Soal 1

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Jawaban Soal 2

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Jawaban Soal 3

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Hasil Tugas 1

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Hasil Tugas 2

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Hasil Tugas 3

Protofolio MK - 1


COURSE PORTFOLIO

NAMA MK

COURSE NAME : Bahasa Inggris English

KODE MK

COURSE CODE : UG18 4 9 14

SEMESTER : 1 atau 2 NAMA DOSEN / TIM

LECTURERS/TEAM : 1. Dra. Endang Susilowati, M. Kes 2. Ratna Rintaningrum, S.S., M.Ed., Ph.D 3. Arfan Fahmi, S.S., M.Pd 4. Umi Trisyanti, S.S., M.Pd 5. Hermanto, S.S., M.Pd 6. Adi Suryani, S.S., M.Ed., Ph.D 7. Dr. Kartika Nuswantara, S.Pd., M.Pd

NAMA KOORDINATOR MK

NAME OF COURSE COORDINATOR

: Hermanto, S.S., M.Pd

Portfolio MK - 2

I. Halaman Pengesahan / Authentication Page

KURIKULUM 2018-2023

CURRICULUM 2018-2023 SUB DIREKTORAT MK BERSAMA Sub DIRECTORATE OF GENERAL SUBJECTS

Nama MK: Bahasa Inggris

Course Name: English

UG184914

Sem: Gasal / Genap Sem: Odd / Even Tahun 2020 Year 2020

Kode: SF184914 ID: SF184914

Bobot sks : 2 sks Credit: 2

Rumpun MK: …… Course Group: ......

OTORISASI

AUTHORIZATION

Koordinator MK

Course Coordinator

Hermanto

Ketua RMK

RMK Coordinator:

Name

Ka. Prodi

Head of Study Programme

Name TTD/signature

TTD/signature

TTD/signature

Tanggal: …..

Date: Tanggal: ….

Date: Tanggal:…

Date:

Portfolio MK - 3

II. Capaian Pembelajaran (Learning Outcomes)

Tabel I.1 Capaian Pembelajaran Lulusan (CPL) / Programme Learning Outcomes (PLO)

Kode CPL PLO Code

Deskripsi CPL PLO Description

S8 menginternalisasi nilai, norma, dan etika akademik. Internalize academic values, norms, and ethics.

KU1 Mampu menerapkan pemikiran logis, kritis, sistematis, dan inovatif dalam konteks pengembangan atau implementasi ilmu pengetahuan dan teknologi yang memperhatikan dan menerapkan nilai humaniora yang sesuai dengan bidang keahliannya. Able to apply logical, critical, systematic, and innovative thinking in the context of the development or implementation of science and technology that pays attention and applies humanities values in accordance with their areas of expertise.

KU2 Mampu menunjukkan kinerja mandiri, bermutu, dan terukur. Able to show independent, quality, and measurable performance.

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III. Rencana Pembelajaran Semester – Semester Learning Plan

INSTITUT TEKNOLOGI SEPULUH NOPEMBER (ITS) SDKB

Kode Dokumen-Document

Code RENCANA PEMBELAJARAN SEMESTER

SEMESTER LEARNING PLAN MATA KULIAH (MK) -Course KODE-Code Rumpun MK-Course

Group

BOBOT (sks) -Weight SEMESTER Tgl Penyusunan -Date

Bahasa Inggris UG18 4 9 14 Komunikasi 2 - 1 atau 2. 10 Juli 2020 PENGESAHAN-AUTHORIZATION Dosen Pengembang RPS - Developer Koordinator RMK-

Coordinator Ka Prodi -Head of Study Program

(Jika ada)

Tanda tangan - Signature

Tanda tangan - Signature

Capaian

Pembelajaran

Learning Outcome

CPL-PRODI yang dibebankan pada MK - PLO Charged to the Course

S8 Menginternalisasi nilai, norma, dan etika akademik. Internalize academic values, norms, and ethics.

KU1 Mampu menerapkan pemikiran logis, kritis, sistematis, dan inovatif dalam konteks pengembangan atau implementasi ilmu pengetahuan dan teknologi yang memperhatikan dan menerapkan nilai humaniora yang sesuai dengan bidang keahliannya. Able to apply logical, critical, systematic, and innovative thinking in the context of the development or implementation of science and technology that pays attention and applies humanities values in accordance with their areas of expertise.

KU2 Mampu menunjukkan kinerja mandiri, bermutu, dan terukur.

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Able to show independent, quality, and measurable performance. Capaian Pembelajaran Mata Kuliah (CPMK) – Course Learning Outcomes (CLO)

CP MK 1 Mampu menulis kalimat dan paragraf dalam bahasa Inggris yang baik dan benar sesuai dengan kaidah penulisan kalimat dan paragraf serta tata bahasa baku bahasa Inggris. Able to write sentences and paragraphs in good and correct English in accordance with the rules of writing sentences and paragraphs and standard English grammar.

CP MK 2 Mampu melakukan presentasi akademik dengan baik menggunakan alat bantu presentasi (PPT) yang efektif. Able to carry out academic presentation well using effective presentation aids (PPT).

CP MK 3 Mampu menerapkan listening strategies untuk menjawab pertanyaan dari percakapan (dialogue/conversation) dan ceramah (talk) dalam bahasa Inggris dengan benar serta mampu melakukan note taking dengan benar. Able to apply listening strategies to answer questions from conversations (dialogues) and lectures (talks) in English correctly and able to do note taking correctly.

CP MK 4 Mampu menerapkan strategi membaca (reading strategies) yang tepat seperti scanning, skimming dan reading for details serta strategi memahami kosakata (vocabulary) untuk menjawab pertanyaan bacaan dengan benar. Able to apply the right reading strategies such as scanning, skimming and reading for details as well as vocabulary strategies to answer reading questions correctly.

Peta CPL – CP MK

Map of PLO - CLO

Tuliskan peta matriks antara CPL dengan CPMK (Sub CP MK) PLO-CLO Matrix

S8 KU1 KU2

CPMK 1 √ √ √ CPMK 2 √ √ √ CPMK 3 √ √ √ CPMK 4 √ √ √

Catatan: CPL digunakan SN Dikti

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Diskripsi Singkat

MK

Course Description

Pada mata kuliah ini, mahasiswa akan belajar konsep-konsep dasar berbahasa Inggris yang meliputi ketrampilan menulis (writing), berbicara (speaking/presentation), menyimak (listening), dan membaca (reading) serta mampu menerapkannya untuk mengungkapkan ide dan pikirannya secara lisan dan tertulis di dalam kehidupan akademik yang berkaitan dengan sains dan teknologi serta sehari-hari. In this course, students will learn English skills that include writing, speaking/academic presentation, listening, and reading and them to express their ideas and thoughts orally and in writing in both academic context related to science and technology and everyday life.

Bahan Kajian:

Materi pembelajaran Study Materials

1. Subject – Verb Agreement 2. Phrases and clauses 3. Sentence types 4. Paragraph 5. presentasi akademik 6. Listening to short conversation 7. Listening to longer conversation 8. Listening to talks and note taking 9. Reading strategies 10. Vocabulary recognition 11. Reading for details: 12. Text pattern organizations

Pustaka

References Utama -

Main :

1. Becker Lucinda & Joan Van Emden, “Presentation Skills for Students, Palgrave, Macmillan, 2010 2. Hogue Ann, Oshima Alice, “Introduction to Academic Writing”, Longman,1997 3. Johnston Susan S, Zukowski Jean/Faust, “Steps to Academic Reading,” Heinle, Canada, 2002 4. Mikulecky, Beatrice S, “Advanced Reading Power”, Pearson Education, New York, 2007 5. Preiss Sherry, “NorthStar: Listening and Speaking,” Pearson Education, New York 2009 6. Tim Dosen Bahasa Inggris ITS, “Improving English Skills for Academic Purposes, A Conceptual and Practical Integration,”

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Pendukung -

Supporting:

1. Bonamy David, “Technical English,” Pearson Education, New York, 2011 2. Fellag Linda Robinson, “College Reading,” Houghton Mifflin Company, 2006 3. Fuchs Marjorie & Bonner Margaret, “ Focus on Grammar; An Integrated Skills Approach,” Pearson Education, Inc, 2006 4. Hague Ann, “ First Steps in Academic Writing,” Addison Wesley Publishing Company, 1996 5. Hockly Nicky & Dudeney Gavin, “How to Teach English with Technology, Pearson Education Limited, 2007 6. Phillipd Deborah, “ Longman Preparation Course for the TOEFL Test,” Pearson Education, Inc, 2003 7. Root Christine & Blanchard Karen, “ Ready to Read Now, Pearson Education, New York, 2005 8. Root Christine & Blanchard Karen, “ Ready to Write, Pearson Education, New York, 2003 9. Weissman Jerry, “Presenting to Win, the Art of Telling Your Story, Prentice Hall, 2006

Dosen Pengampu

Instructors Dra. Endang Susilowati, M. Kes Ratna Rintaningrum, S.S., M.Ed., Ph.D Arfan Fahmi, S.S., M.Pd Umi Trisyanti, S.S., M.Pd Hermanto, S.S., M.Pd Adi Suryani, S.S., M.Ed., Ph.D Dr. Kartika Nuswantara, S.Pd., M.Pd

Matakuliah syarat

Pre-required subject

Tidak ada - Nothing

Mg Ke-

meeting

Kemampuan akhir tiap

tahapan belajar (Sub-CPMK)

Learning outcome

Penilaian - Assessment Bantuk Pembelajaran;

Metode Pembelajaran;

Penugasan Mahasiswa;

Learning methos-time [Estimasi Waktu]

Materi

PembelajaranReferen

ces

[Pustaka]

Bobot

Penilaian

weight

(%) Indikator - indicators

Kriteria & Teknik

Criteria & techniques

(1) (2) (3) (4) Tatap Muka (5) Daring (6) (7) (8)

Portfolio MK - 8

1 - 4 CPMK 1: Mampu menulis kalimat dan paragraf dalam bahasa Inggris yang baik dan benar sesuai dengan unsur-unsur penyusun kalimat dan paragraf serta tata bahasa baku bahasa Inggris. Able to write sentences and paragraphs in good and correct English in accordance with the rules of writing sentences and paragraphs and standard English grammar. Sub CPMK 1.1: Mampu mengidentifikasi dan menentukan Subject – Verb kalimat dan membuat kalimat dengan Subject – Verb dengan benar. Able to identify and define the Subject – Verb of the sentences and create sentences with Subject – Verb correctly.

1. Menulis kalimat dan paragraph dengan benar.

Produce different kinds of English sentences and paragraphs that fulfill the elements of writing good paragraphs (ideas, content, grammar, cohesion and coherence)

1.1 menentukan subject –verb dalam kalimat

specify subject –verb in sentence.

- Latihan - Tugas - Kuis - Exercise - Assignment - Quizzes

- Kuliah - Case study - Diskusi

- lecture - Case study - discussion

(4 x 100 menit)

- MyITS Classroom

- Padlet

- Improving English Skills for Academic Purposes, A Conceptual and Practical Integration halaman 1-28

- Hogue Ann, Oshima Alice, “Introduction to Academic Writing”, Longman,1997

25%

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Sub CPMK 1.2: Mampu membedakan antara phrase dan clause, main clause dan sub-clause, serta membuat main clause dan sub-clause terpadu dalam kalimat. Able to distinguish between phrase and clause, main clause and sub-clause, and make main clause and sub-clause integrated in sentence. Sub CPMK 1.3: Mampu menulis berbagai jenis kalimat (sentence types: simple sentence, compound sentence, complex sentence, dan compound complex sentence) Able to write various types of sentences (simple sentence, compound sentence, complex sentence, and compound complex sentence)

1.2 membuat kalimat dengan adjective clause, adverb clause dan noun clause dengan benar.

create sentences with adjective clause, adverb clause and noun clause correctly.

1.3 Membuat kalimat berbeda sesuai jenis dan jumlah clause (simple sentence, compound sentence, complex sentence, dan compound complex sentence)

Create different sentences (simple sentence, compound sentence, complex sentence, and compound complex sentence)

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Sub CPMK 1.4: Mampu menulis paragraph beserta unsur-unsur yang membentuknya (topic sentence, supporting sentences, dan concluding sentence) serta mengikuti kaidah paragraph unity and coherence dengan benar. Able to write paragraphs and the elements that form them (topic sentence, supporting sentences, and concluding sentences) and follow the rules of paragraph unity and coherence correctly.

1.4 menulis paragraf dengan baik dan benar.

write paragraphs properly and correctly.

5 - 8 CPMK 2: Mampu melakukan presentasi akademik dengan baik menggunakan alat bantu presentasi (PPT) yang efektif. Able to carry out academic presentation well using effective presentation aids (PPT).

2. Presentasi dengan baik

dan lancar.

Good and smooth Presentation

- Tugas Kelompok - Unjuk kerja/tes lisan/ observasi - Group Tasks - Performance / oral test / Observation

Diskusi kelompok dan simulasi Group discussions and simulations (4 x 100 menit)

MyITS Classroom

- Improving English Skills for Academic Purposes, A Conceptual and Practical Integration halaman 29-46

- Becker Lucinda & Joan Van Emden, “Presentation Skills for Students,

25%

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Sub CPMK 2.1: Mampu menjelaskan faktor-faktor yang membuat presentasi menjadi baik atau jelek dan mempersiapkan materi presentasi. Able to explain the factors that make a presentation good or bad and prepare presentation materials. Sub CPMK 2.2: Mampu melaksanakan presentasi akademik dengan baik dengan menggunakan alat bantu yang efektif (PPT) secara berkelompok. Able to carry out academic presentations well by using effective presentation aids (PPT) in groups.

2.1. Menjelaskan faktor-

faktor yang membuat

presentasi menjadi baik

atau jelek dan

mempersiapkan materi

presentasi

2.2 melaksanakan

presentasi dan atau

diskusi tanya jawab

Palgrave, Macmillan, 2010

9 - 11 CPMK 3: Mampu menerapkan listening strategies untuk menjawab pertanyaan dari percakapan

3. Menjelaskan atau menjawab isi wacana

- Latihan - Tugas - Kuis

- Kuliah - Tutorial - Lecture

MyITS Classroom

Improving English Skills for Academic Purposes, A Conceptual and

25%

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(dialogue/conversation) dan ceramah (monologue) dalam bahasa Inggris dengan benar serta mampu melakukan note taking dengan benar. Able to apply listening strategies to answer questions from conversations (dialogues) and lectures (talks) in English correctly and able to do note taking correctly. Sub CPMK 3.1: Mampu menjelaskan dan menjawab isi wacana lisan dari short conversation Able to explain and answer the content of oral discourse from short conversations. Sub CPMK 3.2: Mampu menjelaskan dan menjawab isi wacana lisan dari longer conversation

lisan dari dialog dan monolog dan note taking.

Explain or answer the content of oral discourses of dialogue and monologues and note taking.

3.1 Menjelaskan atau menjawab isi wacana lisan dari dialog pendek.

Explain or answer the content of oral discourse from short dialogue.

3.2 Menjelaskan atau menjawab isi wacana lisan dari dialog panjang.

- Exercise - Assignment - Quizzes

- Tutorial (3 x 100 menit)

Practical Integration halaman 47 – 80.

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Able to explain and answer the content of oral discourse from longer conversations. Sub CPMK 3.3: Mampu menjelaskan dan menjawab isi wacana lisan dari talks serta mampu melakukan note taking dengan benar. Able to explain and answer the content of oral discourse of talks and able to do note taking well.

Explain or answer the content of oral discourse from a long dialogue.

3.3 Menjelaskan atau menjawab isi wacana lisan dari monolog dan note taking.

Explaining or answering the content of oral discourse from monologues and note taking.

12 - 13 CPMK 4: Mampu menerapkan strategi membaca (reading strategies) yang tepat seperti scanning, skimming dan reading for details serta vocabulary recognition untuk menjawab pertanyaan bacaan dengan benar. Able to apply the right reading strategies such as scanning, skimming and reading for details as well

4. Menjelaskan isi bahan bacaan dan menjawab pertanyaan dengan benar tentang suatu bahan bacaan. Explain the content of the reading material and answer questions correctly about a reading material.

- Latihan - Tugas - Tes tertulis (EAS) - Exercise - Assignment - Final exam

Kuliah Tutorial Responsi (3 x 100 menit)

MyITS Classroom

Improving English Skills for Academic Purposes, A Conceptual and Practical Integration halaman 81 – 110, 127 – 159.

25%

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as vocabulary strategies to answer reading questions correctly. Sub CPMK 4.1: Mampu menerapkan strategi membaca skimming dan scanning untuk memahami isi wacana tulis serta mampu menggunakan strategi Vocabulary recognition dalam memahami arti kosa kata. Able to apply skimming and scanning reading strategies to understand the content of written discourse and able to use Vocabulary recognition strategy in understanding the meaning of vocabulary. Sub CPMK 4.2: Mampu menggunakan strategi Reading for details untuk memahami main ideas, stated detail information, unstated detail information, serta implied information

4.1 Menjawab pertanyaan dengan benar tentang suatu bahan bacaan dengan menggunakan strategi skimming dan scanning. Answer questions correctly about a reading material using skimming and scanning strategies. 4.2 Menjawab pertanyaan dengan benar tentang suatu bahan bacaan dengan menggunakan strategi Reading for details. Answer questions correctly about a reading

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untuk menjelaskan isi wacana tulis. Able to use the strategy of Reading for details to understand main ideas, stated detail information, unstated detail information, and implied information to explain the content of the written discourse. Sub CPMK 4.3: Mampu menjelaskan struktur organisasi bacaan (text pattern organizations) dengan mengidentifikasi key words dan signal words yang digunakan. Able to explain the structure of reading organizations (text pattern organizations) by identifying the key words and the signal words used.

material using the Reading for details strategy. 4.3. Menjelaskan pola bacaan (text pattern organizations) dan menentukan signal words yang digunakan. Explaining reading patterns (text pattern organizations) and determining the signal words used.

15-16 UAS / Evaluasi Akhir Semester


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7. Teknik penilaian: tes dan non-tes. 8. Bentuk pembelajaran: Kuliah, Responsi, Tutorial, Seminar atau yang setara, Praktikum, Praktik Studio, Praktik Bengkel, Praktik Lapangan, Penelitian, Pengabdian Kepada Masyarakat

dan/atau bentuk pembelajaran lain yang setara. 9. Metode Pembelajaran: Small Group Discussion, Role-Play & Simulation, Discovery Learning, Self-Directed Learning, Cooperative Learning, Collaborative Learning, Contextual

Learning, Project Based Learning, dan metode lainnya yg setara. 10. Materi Pembelajaran adalah rincian atau uraian dari bahan kajian yg dapat disajikan dalam bentuk beberapa pokok dan sub-pokok bahasan. 11. Bobot penilaian adalah prosentasi penilaian terhadap setiap pencapaian sub-CPMK yang besarnya proposional dengan tingkat kesulitan pencapaian sub-CPMK tsb., dan totalnya

100%. 12. TM=Tatap Muka, PT=Penugasan Terstuktur, BM=Belajar Mandiri.

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IV. Rencana Penilaian / Asesmen & Evaluasi RAE), dan Rencana Tugas

RENCANA ASSESSMENT & EVALUASI SDKB MK : Bahasa Inggris

RA&E Tuliskan Kode Dok

Kode: UG18 4 9 14

Bobot sks (T/P): 2 Rumpun MK: Komunikasi Smt: 1/2

OTORISASI

Penyusun RA & E

Hermanto, S.S., M.Pd

Koordinator RMK


Ka SDKB

Dr. Didik

Mg

ke

(1)

Sub CP-MK

(2) Bentuk Asesmen (Penilaian)

(3)

Bobot (%)

(4)

1-4 Sub-CPMK 1.1: Sub-CPMK 1.2: Sub-CPMK 1.3: Sub-CPMK 1.4:

Tugas - Assignment Kuiz - Quiz

15% 10%

5-8 Sub-CPMK 2.1: Sub-CPMK 2.2:

Proyek - Project 25%

9-11

Sub-CPMK 3.1: Sub-CPMK 3.2: Sub-CPMK 3.3:

Tugas - Assignment Kuiz - Quiz

10% 15%

12-14

Sub-CPMK 4.1: Sub-CPMK 4.2: Sub-CPMK 4.3:

Tugas - Assignment Tes (EAS) – Final Exam

10% 15%

Total bobot penilaian 100%

Portfolio MK - 18

RENCANA TUGAS 1

INSTITUT TEKNOLOGI SEPULUH NOPEMBER FAKULTAS TEKNOLOGI INDUSTRI LEMBAR TUGAS MAHASISWA

MATA KULIAH Bahasa Inggris KODE UG18 4 9 14 sks 2 SEMESTER 1/2

DOSEN

PENGAMPU


CPL yang dibebankan pada MK

KU1: Mampu menerapkan pemikiran logis, kritis, sistematis, dan inovatif dalam konteks pengembangan atau

implementasi ilmu pengetahuan dan teknologi yang memperhatikan dan menerapkan nilai humaniora yang sesuai dengan bidang keahliannya. KU2: mampu menunjukkan kinerja mandiri, bermutu, dan terukur. BENTUK TUGAS

Membuat sebuah paragraf yang baik JUDUL TUGAS

Menulis paragraf SUB CAPAIAN PEMBELAJARAN MATA KULIAH

Mahasiswa mampu membuat paragraf yang baik Mahasiswa mampu menulis kalimat yang baik DISKRIPSI TUGAS

- Paragraf harus mengandung topic sentence, supporting sentences, dan concluding sentence dengan mengikutkan aspek unity dan coherence.

- Paragraf ditulis dengan menggunakan kalimat yang berbeda-beda (simple sentence, compound sentence, complex sentence, dan compound-complex sentence)

- Jumlah kata antara 150 -300 METODE PELAKSANAAN TUGAS

Dikerjakan secara mandiri / individu. Dikerjakan secara online dengan menggunakan aplikasi padlet BENTUK DAN FORMAT LUARAN (sebagai Luaran Tugas) – bila bukan menyelesaikan soal

Paragraf INDIKATOR, KRITERIA DAN BOBOT PENILAIAN

Struktur dan unsur paragraf

Variasi kalimat

Unity and coherence

Jumlah kata dan vocabulary range Bobot penilaian 15%

JADWAL PELAKSANAAN

Minggu ke 4

LAIN-LAIN

- DAFTAR RUJUKAN

Buku Improving English Skills for Academic Purposes, A Conceptual and Practical Integration

Portfolio MK - 19

RENCANA TUGAS 2



DOSEN

PENGAMPU




implementasi ilmu pengetahuan dan teknologi yang memperhatikan dan menerapkan nilai humaniora yang sesuai dengan bidang keahliannya. KU2: mampu menunjukkan kinerja mandiri, bermutu, dan terukur BENTUK TUGAS

Proyek JUDUL TUGAS

Academic Presentation SUB CAPAIAN PEMBELAJARAN MATA KULIAH

Mahasiswa mampu mempersiapkan bahan presentasi Mahasiswa mampu melakukan academic presentation. DISKRIPSI TUGAS

Mahasiswa secara berkelompok mempersiapkan bahan presentasi dan melakukan presentasi akademik yang direkam dalam format video untuk diupload ke kanal youtube.

METODE PELAKSANAAN TUGAS

1. Create a 3-member group from the same department.

2. Each group finds an interesting, up to date topic related with their field of study. 3. Each group searches for information (data, facts, examples) to support and develop the topic.

4. The information (data, facts, examples) are presented in power point presentation. (See video on how to organize presentation in MyITSClassroom). 5. Each group presents the topic supported by ppt for 5 - 7 minutes. (See video on how to explain information (chart) in ppt in MyITSClassroom). 6. The presentation is recorded in video format and uploaded in youtube channel BENTUK DAN FORMAT LUARAN (sebagai Luaran Tugas) – bila bukan menyelesaikan soal

PPT, video INDIKATOR, KRITERIA DAN BOBOT PENILAIAN

Informatif Efektif Menarik Bobot penilaian 25%

JADWAL PELAKSANAAN

Minggu ke 5-8 LAIN-LAIN

-

Portfolio MK - 20

DAFTAR RUJUKAN

Buku Improving English Skills for Academic Purposes, A Conceptual and Practical Integration

Portfolio MK - 21

RENCANA TUGAS 3



DOSEN

PENGAMPU





Membuat catatan sistematis dari monolog/talk JUDUL TUGAS

Listening and Note taking SUB CAPAIAN PEMBELAJARAN MATA KULIAH

Mahasiswa mampu membuat catatan note taking secara sistematis DISKRIPSI TUGAS

Mahasiswa membuat catatan note taking secara sistematis dari monolog atau talk dan hasil catatan diupload di MyITSClassroom.


Tugas dikerjakan secara mandiri / individu Lembar kerja dikerjakan dalam format .docs dan diupload dengan format .pdf BENTUK DAN FORMAT LUARAN (sebagai Luaran Tugas) – bila bukan menyelesaikan soal

Catatan note taking INDIKATOR, KRITERIA DAN BOBOT PENILAIAN

Cakupan informasi Tulisan jelas dan benar Tepat waktu penyelesaian/pengumpulan Bobot penilaian 10%

JADWAL PELAKSANAAN

Minggu ke 11

LAIN-LAIN

- DAFTAR RUJUKAN

buku Improving English Skills for Academic Purposes, A Conceptual and Practical Integration

Portfolio MK - 22

RENCANA TUGAS 4



DOSEN

PENGAMPU





Tugas melakukan penyelesaian tasks/activities Chapter 8 di buku Improving English Skills for Academic Purposes, A Conceptual and Practical Integration, halaman 127-159 JUDUL TUGAS

Tugas 4 SUB CAPAIAN PEMBELAJARAN MATA KULIAH

Mahasiswa mampu memahami signal words dan mampu menentukan struktur organisasi bacaan (text pattern organizations) DISKRIPSI TUGAS

Tugas dikerjakan selama maksimal 1 pekan dan diupload di MyITSClassroom.


Tugas dikerjakan secara mandiri / individu BENTUK DAN FORMAT LUARAN (sebagai Luaran Tugas) – bila bukan menyelesaikan soal

- INDIKATOR, KRITERIA DAN BOBOT PENILAIAN

Jawaban benar

Tulisan jelas dan benar

Tepat waktu penyelesaian/pengumpulan Bobot penilaian 10%

JADWAL PELAKSANAAN

Minggu ke 14

LAIN-LAIN

- DAFTAR RUJUKAN

Bbuku Improving English Skills for Academic Purposes, A Conceptual and Practical Integration

Portfolio MK - 23

V. Portofolio penilaian & evaluasi proses dan hasil belajar setiap mahasiswa

Tabel ini untuk setiap mahasiswa, sehingga bisa di copy paste (inilah bentuk protofolio / perkembangan kemampuan mahasiswa) – gunakan excel untuk menghitung ketercapaian CPL.

Mg ke CPL (yg

dibebankan

pd MK)

CPMK

(CLO)

Bentuk Penilaian (Bobot%)* Bobot (%)

CPMK

Nilai Mhs

(0-100) ((Nilai Mhs) X

(Sub-Bobot%)*)

Ketercapaian CPL

pd MK (%)

Diskripsi Evaluasi &

Tindak lanjut

perbaikan

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Tuliskan Mg ke

…

Tuliskan CPL yg dibebankan pd MK (diambilkan dari RPS)

Tuliskan CP MK (diambilkan dari RPS) Boleh sama dengan sub CPMK

Tuliskan betuk asesmen (diambilkan dari RPS)

Tuliskan bobot setiap asesmen

(diambilkan

dari setiap

bagian bobot

di RPS)

bobot setiap asesmen untuk setiap Sub CP

MK (diambilkan dari bobot di

RPS)

Tuliskan tindak lanjut (apabila

sudah lolos / lulus), tuliskan “lulus”

Bila belum lulus, tuliskan “tindak lanjut yang akan

diberikan kpd mhs berupa “aktifitas

tambahan”

CONTOH 1

Portfolio MK - 24

Mg ke CPL (yg

dibebankan

pd MK)

CPMK

(CLO)


CPMK

Nilai Mhs


(Sub-Bobot%)*)

Ketercapaian CPL

pd MK (%)


Tindak lanjut

perbaikan

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

10

KU5 CPMK-4 Tugas-1 Tugas-2 Soal Esay Kuis-1

3,5 3,5 3

10

60

90

50

2.1

3.15

1.5

Asesmen

Rata-rata =

66.7

Contoh 2 – bentuk Lain, bila 1 sub CP MK, hanya 1 asesmen, maka kolom (5) = kolom (6)

Mg ke CPL (yg

dibebankan

pd MK)

CPMK

(CLO)


CPMK

Nilai Mhs


(Sub-Bobot%)*)

Ketercapaian CPL

pd MK (%)


Tindak lanjut

perbaikan

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

10 KU5 CPMK-4 Kuis 10 10 70 7 (nilai ini

tergantung pada

bobot CPL pada

MK – contoh

Bobot CPL = 20%)

= 20% x 7 (kolom

8)

“Lulus CPMK-6”

13-15 P5, KU1 CPMK-5 Kuis 10 10 50 5 1

(angka ini yg akan

masuk dalam

perhitungan CPL

Prodi – yg

diperoleh dr MK)

Tidak lulus, dan

dilakukan

tambahan aktifitas

/ remidi di minggu

ke 16

Sehingga untuk

akan muncul lagi di

Portfolio MK - 25

Mg ke CPL (yg

dibebankan

pd MK)

CPMK

(CLO)


CPMK

Nilai Mhs


(Sub-Bobot%)*)

Ketercapaian CPL

pd MK (%)


Tindak lanjut

perbaikan

minggu ke 16 untuk

Mhs ybs

16 CPL-6 CPMK-6 Tugas 10 10 80 8 1.6 Lulus CPMK 6

Tabel di atas kolom 10, dapat dipisahkan – dengan menuliskan secara deskripsi perbaikan yang akan dilakukan atas

evaluasi ketercapaian CPL

Catatan: Bobot CPL, dapat ditentukan / ditetapkan oleh Koordinator MK atas kesepakatan bersama Dosen MK, sebagai contoh

CPL ke 1 = S1 CPL ke 2 = KU 1 CPL ke 3 = P

Bobot 30% 40% 30%

Semakin banyak CPL yang dibebankan pada MK, berdampak pada semakin banyak asesmen yang harus dilakukan

Portfolio MK - 26

VI. Tindakan hasil Evaluasi untuk Perbaikan

Unsur untuk perbaikan Ya (sesuai)

Tdk (sesuai)

Bentuk Akt. Yang melakukan perbaikan

1 Ketercapaian CPL pada MK

Remidi Dosen

2 Modul / bahan ajar Penyusunan Modul

Dosen

3 Buku referensi Pengadaan Prodi 4 Metode pembelajaran FGD /

Pelatihan Dosen dan Prodi

5 Metode penilaian FGD / pelatihan

Dosen dan Prodi

Tabel di atas – merupakan hasil rangkuman atas Tabel V

Portofolio MK - 27

Lampiran

A. Rencana Tugas & Rubrik Penilaian

Lampirkan rencana Tugas dan rubrik penilaian untuk asesmen

Scoring Rubric for Oral Presentations

Category

Scoring Criteria

Total

Points

Score

Organization

(15 points)

Show well-prepared and organized presentation . 10

Information is presented in a logical sequence. 5

Total points 15

Content

(45 points)

Introduction is attention-getting, lays out the problem well, and establishes a framework for the rest of the presentation.

5

Technical terms are well-defined in language appropriate for the target audience.

5

Presentation contains accurate information. 10

Material included is relevant to the overall message/purpose.

10

Appropriate amount of material is prepared, and points made reflect well their relative importance.

10

There is an obvious conclusion summarizing the presentation.

5

Total point of content 45

Presentation

(40 points)

Speaker maintains good eye contact with the audience and is appropriately animated (e.g., gestures, moving around, etc.).

5

Speaker uses a clear, audible voice. 5

Delivery is poised, controlled, and smooth. 5

Good language skills and pronunciation are used. 5

Visual aids are well prepared, informative, effective, and not distracting.

5

Length of presentation is within the assigned time limits. 5

Information was well communicated. 10

Total points of presentation 40

Portofolio MK - 28

Score Total Points 100

Rubrik Pengumpulan Tugas

Kategori

Kriteria

Total

Poin

Skor

Jawaban Benar

(70%)

Jumlah jawaban benar 100

Kejelasan (15%)

Tulisan jelas, benar, tidak ada indikasi kecurangan (jawaban sama)

70 - 100

Tulisan kurang jelas/ kurang benar/ada indikasi kecurangan sebagian (jawaban sama)

40 - 70

Tulisan tidak jelas, tidak benar, ada indikasi kecurangan keseluruhan (jawaban sama)

10 - 40

Total poin 50

Ketepatan Waktu

(15%)

Tepat waktu 50

Terlambat 1 hari 40

Terlambat > 2 hari 30

Skor Total Poin Maksimal

B. Bukti – soal (Asesmen dan Tugas) Lampirkan bukti semua soal yang diberikan untuk asesmen:

Contoh 1 Soal Tugas (dari buku Improving English Skills for Academic Purposes, A Conceptual and Practical Integration halaman 9-…)

A. Choose the best word or phrase to fill the gaps.

1. We ate a pizza ________________ a kebab. (BUT / AND / SO)

2. We had some cake ________________ we didn ’t have any coffee. (UNLESS / UNTIL / BUT)

3. I had a headache ________________ I didn ’t go to the party. (WHEN / SO / WHEREAS)

4. You can have a coffee ________________ a tea but not both. (OR / TILL / BUT)

5. I can ’t come to school ________________ I have an important appointment. (SO / BECAUSE / UNLESS)

6. I will call you ________________ I get home. (AS / AND / WHEN)

7. ________________ you do your homework, you will pass the course. (UNLESS /UNTIL / AS LONG AS)

8. I wanted to eat Japanese food ________________ my wife wanted to eat Chinese food. (SO / WHEN /

WHEREAS)

9. You cannot go into that bar ________________ you are 18 or older. (PROVIDED THAT / UNLESS / AS)

10. She still went to work ________________ she was sick. (EVEN THOUGH / UNTIL / IF)

Portofolio MK - 29

11. Don’t call me ________________ you have finished your work. (UNTIL / WHILE / AS LONG AS)

________________ the bad weather, they decided to have a picnic. (BECAUSE / DESPITE / WHEREAS)

Wash your hands ________________ you eat your dinner. (TILL/ WHEN / BEFORE)

12. I did not have the correct visa. ________________,I could not enter the country. (BECAUSE / AS /

CONSEQUENTLY)

13. I like milk, butter, cream and yoghurt. ________________ ,I don’t like cheese. (SO / HOWEVER / AND)

14. He did not pass the exam because he had not studied or done his homework. ________________, he

did not go to school on the exam day. (OR / UNTIL / IN ADDITION)

15. You can have an ice-cream ________________ you have finished you homework. (SO/PROVIDED

THAT/OR)

16. ________________ john was fixing the car, his wife was making sandwiches. (WHILE / UNTIL / DESPITE)

17. He could not get the job ________________ his excellent qualifications. (BECAUSE / WHILE / IN SPITE

OF)

18. I will love you ________________ I die. (AFTER / UNLESS / TILL)

19. I had a shower ________________ I got home. (BUT / AS SOON AS / UNTIL)

20. ________________ you don’t work hard you won’t get a promotion. (IF / SO / AS LONG AS)

21. You won’t get a promotion ________________ you work hard. (WHILE / UNLESS / BECAUSE)

________________ we had no money, we still had a good time. (FINALLY/HOWEVER / ALTHOUGH)

B. Think of joining two clauses using the following conjunctions to form well-structured

compound/complex sentences

Conjunctions Sentence

But

And

Because

In addition

Moreover

Although

Otherwise

However

Portofolio MK - 30

So that

Either/or

C. Underline each subordinate clause in the following sentences. Then, write over the clause ADJ if it is an adjective clause, ADV if it is an adverb clause, or N if it is a noun clause.

Example 1.

1. Jeri, who learned to dance from his grandmother, taught us the Charleston.

2. Because her favorite program was on, Stacy wanted to stay home.

3. Any author whose books make the bestseller list is likely to make a lot of money.

4. Whoever spilled the mustard all over the floor should clean it up.

5. Esai rode his bicycle whenever he had errands to run.

6. This is the garden where we grow tomatoes.

7. He told his story to whoever would listen.

8. Mother explained why we should change the oil in the car.

9. If we want to get to the game on time, we should leave now.

10. The play on which the film is based is quite good.

Contoh 2 Soal EAS

Portofolio MK - 31

Portofolio MK - 32

Contoh 3 soal EAS

C. Bukti jawaban soal dan Hasil Tugas Jawaban Contoh 1 Soal Tugas

Portofolio MK - 33

D. Choose the best word or phrase to fill the gaps.

22. We ate a pizza ________________ a kebab. (BUT / AND / SO)

23. We had some cake ________________ we didn ’t have any coffee. (UNLESS / UNTIL / BUT)

24. I had a headache ________________ I didn ’t go to the party. (WHEN / SO / WHEREAS)

25. You can have a coffee ________________ a tea but not both. (OR / TILL / BUT)

26. I can ’t come to school ________________ I have an important appointment. (SO / BECAUSE / UNLESS)

27. I will call you ________________ I get home. (AS / AND / WHEN)

28. ________________ you do your homework, you will pass the course. (UNLESS /UNTIL / AS LONG AS)

29. I wanted to eat Japanese food ________________ my wife wanted to eat Chinese food. (SO / WHEN /

WHEREAS)

30. You cannot go into that bar ________________ you are 18 or older. (PROVIDED THAT / UNLESS / AS)

31. She still went to work ________________ she was sick. (EVEN THOUGH / UNTIL / IF)

32. Don’t call me ________________ you have finished your work. (UNTIL / WHILE / AS LONG AS)

________________ the bad weather, they decided to have a picnic. (BECAUSE / DESPITE / WHEREAS)

Wash your hands ________________ you eat your dinner. (TILL/ WHEN / BEFORE)

33. I did not have the correct visa. ________________,I could not enter the country. (BECAUSE / AS /

CONSEQUENTLY)

34. I like milk, butter, cream and yoghurt. ________________ ,I don’t like cheese. (SO / HOWEVER / AND)

35. He did not pass the exam because he had not studied or done his homework. ________________, he

did not go to school on the exam day. (OR / UNTIL / IN ADDITION)

36. You can have an ice-cream ________________ you have finished you homework. (SO/PROVIDED

THAT/OR)

37. ________________ john was fixing the car, his wife was making sandwiches. (WHILE / UNTIL / DESPITE)

38. He could not get the job ________________ his excellent qualifications. (BECAUSE / WHILE / IN SPITE

OF)

39. I will love you ________________ I die. (AFTER / UNLESS / TILL)

40. I had a shower ________________ I got home. (BUT / AS SOON AS / UNTIL)

41. ________________ you don’t work hard, you won’t get a promotion. (IF / SO / AS LONG AS)

42. You won’t get a promotion ________________ you work hard. (WHILE / UNLESS / BECAUSE)

________________ we had no money, we still had a good time. (FINALLY/HOWEVER / ALTHOUGH)

E. Think of joining two clauses using the following conjunctions to form well-structured

compound/complex sentences

Conjunctions Sentence

But (The answer may be various) And (The answer may be various) Because (The answer may be various) In addition (The answer may be various) Moreover (The answer may be various)

Portofolio MK - 34

Although (The answer may be various) Otherwise (The answer may be various) However (The answer may be various) So that (The answer may be various) Either/or (The answer may be various)

F. Underline each subordinate clause in the following sentences. Then, write over the clause ADJ if it is an adjective clause, ADV if it is an adverb clause, or N if it is a noun clause.

Example 2.

11. Jeri, who learned to dance from his grandmother (adj), taught us the Charleston.

12. Because her favorite program was on (adv), Stacy wanted to stay home.

13. Any author whose books make the bestseller list (adj) is likely to make a lot of money.

14. Whoever spilled the mustard all over the floor (N) should clean it up.

15. Esai rode his bicycle whenever he had errands to run(adv).

16. This is the garden where we grow tomatoes(adj).

17. He told his story to whoever would listen (N).

18. Mother explained why we should change the oil in the car (N).

19. If we want to get to the game on time (adv), we should leave now.

20. The play on which the film (adj) is based is quite good.

Jawaban Contoh 2 Soal EAS

No Jawaban

1 B 2 D 3 A 4 B 5 C 6 A 7 A 8 B 9 D 10 B

Jawaban Contoh 3 Soal EAS

1 C 2 B 3 A 4 D

Portofolio MK - 35

5 D 6 A 7 A 8 B 9 B

10 C

Protofolio MK - 1


COURSE PORTFOLIO

NAMA MK / COURSE NAME : Kewarganegaraan KODE MK / COURSE ID : UG. 184913 SEMESTER / SEMESTER : Gasal / Genap NAMA DOSEN / TIM LECTURER

: Dyah Satya Yoga,Niken Prasetyawati,Ni Wayan Suarmini, Windiani, Tri Widyastuti,Tony Hanoraga,Banu Prastyo, Aurel Ratu, Julius F. Nagel, Agung Kurniawan,Helmy Boemiya,Ida Wahyuliana,Yuliana Windi,Badruli Martati, John Sinartra Wolo.

NAMA KOORDINATOR MK COURSE COORDINATOR

: Isikan nama koordinator MK (sebagai entry nilai di integra.its.ac.id)


I. Halaman Pengesahan / Signature Page

KURIKULUM 2018-2023 CURRICULUM 2018-2023 Prodi Study Program Nama MK: Kewarganegaraan Course Name: Kewarganegraan

Kode/ID UG. 184913

Sem: Gasal / Genap Sem: Odd / Even Tahun 2020-2021 Year 2020-2021

Kode: ……. ID: …….

Bobot sks : 2 Credit: 2

Rumpun MK: Wajib Nasional Course Group:


Koordinator MK Course Coordinator Ni Wayan Suarmini

Ketua RMK RMK Coordinator Name

Ka. Prodi Head of Study Programme Name

TTD/signature

TTD/signature

TTD/signature

Tanggal: ….. Date

Tanggal: …. Date

Tanggal:… Date


II. CPL yang dibebankan pada MK / PLO Charged to the Course Beri tanda X untuk setiap CP MK yang relevan dengan CPL Prodi (Jumlah CPL Prodi yang dibebankan pada MK rata-rata 3-4)

Put an X for each CLO which is relevant to the PLO of the Study Program (Total PLO of the Study Program being charged to the Course is 3-4 on average)

CPL Prodi / PLO Program CP MK* CLO*

CPL1 PLO1

CPL 2 PLO2

CPL 3 PLO3

CPL 4 PLO4

CP MK1 CLO1

x x

CP MK2 CLO2

x x x

CP MK3 CLO3

x x x

CP MK4 CLO4

x x

*Keterangan: Jika di RPS dituliskan asesmen terhadap Sub CP MK, maka CP MK pada form penilaian di integra.its.ac.id (tabel di atas) adalah sebagai Sub CP MK



III. Bobot Penilaian / Asesmen CP MK dan CPL Assessment Weight / CLO and PLO Assessment

Perhitungan nilai capaian CP MK dan CPL pada bagian V dan VI akan dilakukan oleh sistem. Untuk itu, dosen diminta mengisi beberapa bagian berikut:

CLO and PLO will automatically calculated by the system. Lecturer are expected to fill in the following sections:

• Melakukan input hasil evaluasi di sistem sebagaimana biasanya • Melakukan input bobot pada setiap komponen berikut: • Input evaluation result • Input weight on each of the following component:

Bobot Penilaian / Asesmen (max 8 Penilaian):

Assessment Weight / Assessment (max 8):

Penilaian Assessment

Penilaian-1 (%)

Assessment-1

(%)

Penilaian-2 (%)

Assessment-2

(%)

Penilaian-3 (%)

Assessment-3

(%)

Penilaian-4 (%)

Assessment-4

(%)

Penilaian 5 (%)

Assessment-5

(%)

Penilaian 6 (%)

Assessment-6

(%)

Total (%)

Total (%)

Bobot Weight

15 15 20 10 15 25 100%

Bobot CPL (sesuai jumlah CPL yang dibebankan pada MK)

PLO Weight (in accordance with the amount of PLO charged to the course)

CPL PLO

CPL1 (%) PLO1 (%)

CPL2(%) PLO1 (%)

CPL3 (%) PLO1 (%)

CPL4 (%) PLO1 (%)

Total (%) Total (%)

Bobot Weight

23,52 % 29,41 % 29,41 % 17,66 % 100%

Bobot CP MK (Max 8 CP MK)

CLO weight (Max 8)

CP MK CLO

CP MK1 (%) CLO1 (%)

CP MK2 (%) CLO2 (%)

CP MK3 (%) CLO3 (%)

CP MK4 (%) CLO4 (%)

Total (%)

Total (%)

Bobot Weight

25 % 25 % 25 % 25 % 100%

Tabel matrix Penilaian / Asesmen - CPL (beri tanda centang untuk CPL yang dinilai)

Assessment Matrix Table / Assessment – PLO (put a check mark for assessed PLO)

CPL1 PLO1

CPL2 PLO2

CPL3 PLO3

CPL4 PLO4


Penilaian – 1 Assessment – 1

X x


x x


x x x


x x x x


x x


x x x x

Catatan: Bila jumlah Penilaian / Asesmen lebih dari 8, maka dikelompokkan / dijadikan dalam jumlah maksimum 8 Penilaian - dengan tetap memperhatikan CP MK yang dinilai

Note: If the number of Assessments is more than 8, then group them into 8 Assessment - taking into account the assessed CLO

Table matrix Penilaian / Asesmen –CP MK (beri tanda centang untuk CP MK yang dinilai)

Assessment matrix table / Assessment –CLO (put a check mark for assessed CLO)

CP MK1 CLO1

CP MK2 CLO2

CP MK3 CLO3

CPMK4 CLO4


x


x


x x


x


x


x x


IV. Rencana Penilaian / Asesmen & Evaluasi (RAE) Assessment Plan / Assessment & Evaluation (AEP)

Tuliskan RAE (diambilkan dari bagian RPS)

Write down Assessment and Evaluation Plan (which taken from Semester Learning Plan)

(copy paste dr sebagian kolom di RPS) – Catatan: dalam 1 MK untuk kelas pararel – RAE dapat berbeda - yang dimaksudkan dalam hal ini adalah, dalam melakukan penilaian terhadap kemampuan yang sama, dapat dilakukan dengan cara yang berbeda)

(copy paste from Semester Learning Plan) - Note: in a parallel class – A&EP may be different – which means, an ability may be assessed in a different ways)

RENCANA PENILAIAN / ASSESSMENT & EVALUASI MK : Kewarganegaraan Kelas: 3

RA&E Tuliskan Kode Dok

Kode:Tuliskan Kode

Bobot sks (T/P): 2 sks Rumpun MK: Wajib Nasional Smt: 1

OTORISASI

Penyusun RA & E Tuliskan Nama Dosen Penyusun RAE

Koordinator RMK Tuliskan Nama Koordinator RMK

Ka Prodi Tuliskan Nama

Mg ke (1) /

Week (1)

CP-MK* (2) /

CLO* (2)

Teknik dan Bentuk Penilaian / Asesmen (3) /

Assessment Form (3)

Bobot (%) (4) /

Weight (%) (4)

Mg ke 1-4

CP MK 1 : Memahami substansi pendidikan kewarganegaraan untuk memiliki kepribadian Indonesia , membangun rasa kebangsaan dan mencintai tanah air, sehingga menjadi warga negara yang baik dan terdidik (smart and good citizen) dalam kehidupan masyarakat, bangsa dan negara yang demokratis. CLO 1 : Mastering the substance of citizenship education to have an Indonesian personality, build a sense of nationality and love the country, so that they become good and educated citizens (smart and good citizen) in the life of a democratic society, nation and state.

Instrumen Rubrik Teknik ; Non Tes (observasi), Tugas, Penilaian essay/ penilaian teman

15

Mg ke 5-7

CP MK 3 : Memahami kontribusi kewarganegaraan dalam

Instrumen : Rubrik


Mg ke (1) /

Week (1)

CP-MK* (2) /

CLO* (2)


Assessment Form (3)

Bobot (%) (4) /

Weight (%) (4)

membentuk tata sikap dan tata nilai: menghargai ke-bhinekaan, mampu bekerjasama, memiliki sifat amanah, kepekaan social dan kecintaan yang tinggi terhadap masyarakat, bangsa dan negara Indonesia CLO 3 : Mastering the application of the concept of citizenship, to make good citizens who are able to support the nation and state, democratic citizens, namely citizens who are intelligent, civilized and responsible for the survival of the Indonesian state in exercising the skills of science, technology and arts it has.

Teknik : Non Test ( Tanya jawab, sikap) Diskusi Penilaian proyek ,presentasi, Penilaian Essay Instrument: Rubric Technique: Non Test (Questions and answers, attitude) Discussion Project appraisals, presentations, Essay Assessment

15

Mg ke 8 Week 8

CP MK 1 dan 3 Ujian Tengah Semester CLO 1 and 3 Midterm Tes

Test Tertulis ( Essay / Multiple choice) 20

Mg ke 9 – 11 Week 9 – 11

CP MK 2: Memahami korelasi pendidikan kewarganegaraan dengan nilai-nilai kehidupan sehingga menjadi warganegara yang berkepribadian Indonesia memiliki daya saing, berdisiplin dan berpartisifasi aktif dalam membangun kehidupan yang damai berdasarkan sistem nilai Pancasila CLO 2: Understand the correlation of civic education with the values of life so that becoming a citizen with an Indonesian personality is competitive, disciplined and actively participates in building a peaceful life based on the Pancasila value system.

Instrumen: Rubrik Teknik: Observasi Diskusi, Presentasi Penilaian essay, penilaian proyek Instrument: Rubric Technique: Observation Discussion, Presentation Essay assessment, project appraisal

10

Mg ke12 –

CP MK 4 : Mampu mengaplikasikan konsep

Instrumen Rubrik Teknik: Non test ( tanya jawab, sikap),


Mg ke (1) /

Week (1)

CP-MK* (2) /

CLO* (2)


Assessment Form (3)

Bobot (%) (4) /

Weight (%) (4)

15 Week 12 – 15

kewarganegaraan, untuk menjadikan warga negara yang baik yang mampu mendukung bangsa dan negara, warga negara yang demokratis yaitu warga negara yang cerdas, berkeadaban dan dan bertanggung jawab bagi kelangsungan hidup negara Indonesia dalam mengamalkan kemampuan ilmu pengetahun, teknologi dan seni yang dimilikinya CLO 4 : Understanding the contribution of citizenship in shaping attitudes and values: respecting diversity, being able to work together, having a trustworthy nature, social sensitivity and a high love for the people, nation and state of Indonesia.

Diskusi, Presentasi, Debat, role play , Problem & Solving Rubric Instruments Technique: Non test (question and answer, attitude), Discussion, Presentation, Debate, role play, Problem & Solving

15

Mg ke 16 Week 16

CP MK 2 dan 4 Ujian Akhir Semester CLO 2 and 4 Final Test

Test Tertulis ( Essay / Multiple choice) 25

Total bobot penilaian Final score

100%

*Keterangan: Jika di RPS dituliskan penilaian terhadap Sub CP MK, maka CP MK pada form penilaian di integra.its.ac.id (tabel di atas) adalah sebagai Sub CP MK



V. Penilaian CP MK - (maks jumlah CP MK = 8) / CLO Scoring – (max CLO = 8) Perhitungan akan dilakukan oleh sistem / Automatically calculated by System

No NRP


Nama Mahasiswa

Student Name



Nilai CP MK 3

CLO 3 Score

Nilai CP MK 4

CLO 4 Score


Nilai Akhir Final Score

Keterangan (lulus / Tidak

Lulus) Passed / Not

Passed

Action Plan

1 2 3 …

VI. Penilaian CPL yang dibebankan pada MK berdasarkan pada nilai CP MK / CLO Scoring charged to the Course Perhitungan akan dilakukan oleh sistem / Automatically calculated by System

No NRP


Nama Mahasiswa

Student Name

Nilai CPL 1

PLO 1 Score

Nilai CPL 2 PLO 2 Score



Keterangan (lulus / Tidak Lulus) Passed / Not

Passed

Action Plan No

1 2 3 …

Portofolio MK - 10

VII. Tindakan (Action Plan) hasil Evaluasi untuk Perbaikan Action Plan for Evaluation and Improvement

Tuliskan tindakan yang akan dilakukan baik oleh Dosen – maupun usulan ke Prodi untuk Perbaikan – terkait dengan evaluasi ketercapaian CPL

Write down the actions that the Lecturer will take - as well as suggestions to the Study Program for Improvement - related to the evaluation of PLO achievement

Unsur yang di evaluasi Evaluated elements

CPL PLO

Prodi Study Programme

CP MK * CLO *

Model Pembelajaran Learning Model


Bentuk asesmen Assessment Form


*Jika di dalam dokumen RPS dituliskan dalam Sub CP MK, maka unsur yang dievaluasi adalah Sub CP MK

*If the Semester Learning Plan document is written in Sub CLO, then the element evaluated wil be Sub CLO

Portofolio MK - 11

Lampiran Attachment

A. Rencana Tugas

Task Plan

B. Rubrik / Marking Scheme Assessment Rubric / Marking Scheme Assessment

C. Bukti – soal (Asesmen dan Tugas) Assessment and Task

D. Bukti jawaban soal dan Hasil Tugas Task Result

Rencana Pembelajaran Semester

INSTITUT TEKNOLOGI SEPULUH NOPEMBER (ITS) FAKULTAS SCIENTICS DEPARTEMEN MATEMATIKA

Kode Dokumen

RENCANA PEMBELAJARAN SEMESTER MATA KULIAH (MK) KODE Rumpun MK BOBOT (sks) SEMESTER Tgl Penyusunan Matematika 2 / Mathematics 2 MK18 4 201 Tuliskan Rumpun MK 3 0 2 OTORISASI / PENGESAHAN Dosen Pengembang RPS Koordinator RMK Ka Prodi

Tanda tangan

Capaian Pembelajaran MK

PRODI yang dibebankan pada MK

CPL_1 ILO_1

Mampu menginterpertasikan konsep dasar matematika dan menyusun pembuktian secara langsung, tidak langsung, maupun dengan induksi matematika. Students are able to interpret basic mathematical concepts and arrange the proofs directly, indirectly, or using mathematical induction.

CPL_2 ILO_2

Mampu melakukan identifikasi permasalahan sederhana, membentuk model matematika dan menyelesaikannya. Students are able to identify simple problems, form mathematical models and solve them.

CPL_3 ILO_3

Menguasai metode-metode standar dalam bidang matematika. Students are able to understand the basic methods in mathematics.

CPL_4 ILO_4

Mampu menguasai teori fundamental matematika yang meliputi konsep himpunan, fungsi, diferensial, integral, ruang dan struktur matematika. Students are able to understand the basic mathematical theories such as set theory, functions, differential, integral, space and mathematical structure.

CPL_5 ILO_5

Mampu melakukan identifikasi permasalahan, membentuk model matematika dan menyelesaikannya. Students are able to identify problems, create mathematical models and solve them.

Mata Kuliah CP MK_1 Mahasiswa mampu menerapkan konsep-konsep dasar matematika yang terkait dengan fungsi transenden.

Students are able to apply basic mathematical concepts related to transcendent functions. CP MK_2 Mahasiswa mampu menerapkan teknik integrasi.

Students are able to apply integration techniques.

CP MK_3 Mahasiswa mampu mengaplikasikannya baik dalam bentuk fungsi koordinat kartesius, maupun koordinat kutub dan persamaan parametrik. Students are able to apply integration techniques well in the forms of cartesian coordinate functions, polar coordinate, and parametric equations.

CP MK_4 Mahasiswa mampu menentukan kekonvergenan barisan dan deret tak hingga dan jumlah deret tak hingga yang konvergen. Students are able to determine the convergence of sequences, infinity series, and the number of convergent infinity series.

CP MK_5 Mahasiswa mampu mentransformasikan fungsi ke dalam bentuk deret Taylor atau deret Maclaurin. Students are able to transform function to Taylor series or Maclaurin series.

Peta CPL – CP MK Peta matriks antara CPL dengan CPMK (Sub CP MK) CPL1 CPL2 CPL3 CPL4 CPL5 CPMK 1 � � � CPMK 2 � CPMK 3 � � � CPMK 4 � � � CPMK 5 � �

Diskripsi Singkat MK dan Pokok Bahasan

Bahan Kajian Fungsi transenden, diferensial dan integralnya Teknik Integrasi, Integral tak wajar Aplikasi Integral Bentuk Kutub, fungsi Parametrik, diferensial dan integralnya Barisan dan Deret

Pokok Bahasan:

Dalam Mata Kuliah ini mahasiswa akan mempelajari Pokok bahasan pokok bahasan sebagai berikut: 1. Fungsi Transenden, diferensial dan integralnya. 2. Teknik integrasi dan Integral tak wajar. 3. Aplikasikan integral tertentu pada luas bidang datar, volume benda, Panjang busur dan luas kulit benda putar, pusat massa, penerapan

teorema Guldin. 4. Sistem koordinat kutub dan persamaan parametrik, sketsa grafiknya, dan aplikasinya. 5. Kekonvergenan barisan dan deret tak hingga, dan menghitung jumlah deret tak hingga yang konvergen, deret Taylor dan deret Maclaurin.

Brief Description MK and Main Discussion

Study Material Trancendent functions, differential, and integral Integration technique, Improper integral Integral application Polar coordinates, parametric functions, differential and its integral. Sequence and series Main Discussion In this course, students will learn the following subjects:

1. Trancendents functions, differential and integral. 2. Integration technique and improper integral. 3. Applicating certain integral to a plane area, the volume of area revolution, arc length and the area of a surface of revolution., centroids

and application of Guldin’s theorem. 4. Polar coordinate system and parametric equation, the polar coordinate’s graph, and its application. 5. Convergence of sequences and infinite series, sums of infinite series, Taylor and Maclaurin series.

Pustaka References

Utama / Main: 1. Tim Dosen Jurusan Matematika ITS, Buku Ajar Kalkulus 2 , Edisi ke-5 Jurusan Matematika ITS, 2013 2. Anton, H. dkk, Calculus, 10-th edition, John Wiley & Sons, New York, 2012

Pendukung / Supporting:

3. Kreyzig, E, Advanced Engineering Mathematics, 10-th edition, John Wiley & Sons, Singapore, 2011 4. Purcell, J, E, Rigdon, S., E., Calculus, 9-th edition, Prentice-Hall, New Jersey, 2006 5. James Stewart , Calculus, ed.7, Brooks/cole-Cengage Learning, Canada,2012

Dosen Pengampu Lecturers

Tim Dosen Matematika Dasar Basic Mathematic Lecturers Team

Assessment Tugas Mandiri, Ujian Tulis (Quiz, ETS, EAS). Exercises, Assignments and Written Test.

Matakuliah syarat Prerequisite

-

Tatap Muka Ke- / Week

Kemampuan akhir tiap tahapan belajar (Sub-CPMK) / Final Ability of Each Learning

Stage (LLO)

Assessment Bantuk Pembelajaran; Metode Pembelajaran; Penugasan Mahasiswa;

[ Estimasi Waktu] / Form of Learning; Learning Method;

Student Assignment; [ Estimated Time ]

Materi Pembelajaran

[Pustaka] / Learning Material

[Reference]

Bobot Penilaian (%)

/ Assessment Load (%)

Indikator / Indicator Kriteria & Teknik /

Criterias & Techniques

(1) (2) (3) (4) Tatap Muka / In-class (5)

Daring / Online (6)

(7) (8)

1

Pengantar Kuliah Introduction of Learning

Motivasi belajar, menyampaikan RPS, aturan perkuliahan, macam evaluasi, prosentase masing masing evaluasi dan sumber pustaka

Learning motivation, delivering learning plan, lecture rules, agreement in evaluations, the percentage in

each evaluation and book references.

Mampu menjelaskan sifat dasar logaritma dan bilangan berpangkat.

Students are able to explain the basic properties of logarithms and exponents.

Ketepatan menjelaskan sifat logaritma dan perpangkatan, mensketsa grafik dasar logaritma dan eksponensial. The precision of explaining the properties of logarithms and exponentials, sketching out basic logarithms and exponentials.

Ketajaman mensketsa grafik logaritma dan eksponen. Soal-soal latihan serta tugas The sharpness of sketching logarithms and exponent graph. Exercises and assignments.

Kuliah, latihan soal-soal serta memberikan soal & tugas

Waktu: 100 menit Tutorial activities, exercises and assignments.

Time: 100 minutes

Kuliah, latihan soal-soal serta memberikan soal tugas melalui:

Sinkronus/ asinkronus di

MyITS Classroom

Tutorial activities, exercises, and assignments via

Synchronous/ asynchronous at

MyITS Classroom

Ikhtisar sifat logaritma & eksponensial. [1] hal: 1-16 Overviewing the properties of logarithms & exponential. [1] p: 1-16

2 Mampu menjelaskan grafik yang melibatkan logaritma, dan eksponensial. Students are able to explain graph which involve logarithm and exponential.

Kuliah. Waktu Dosen: 50

menit Tutorial activities

Time: 50 minutes

Fungsi logaritmik & eksponensial. [1] hal: 17-42 Logarithmic & exponential functions. [1] p: 17-42

ASISTENSI KE_1 / 1st ASSISTANCE

Latihan soal Waktu: 50 menit

Exercises

Time : 50 menit 3 Mampu menentukan turunan

fungsi invers trigonometri & fungsi hiperbolik Students are able to determine the derivatives of inverse trigonometry & hyperbolic functions

Ketepatan memperoleh turunan, Invers fungsi transenden dan invers trigonometri dan sketsa Grafiknya. The accuracy of obtaining the derivatives of inverse trancendent function, inverse trigonometry, and the graph’s sketch

Ketajaman sketsa grafik dan inversnya, diferensiasi dan integrasinya.

Soal-soal latihan serta tugas. The sharpness of sketching graphic and its inverse, differentiation, and integration. Exercises and assignments

Kuliah, latihan soal-soal serta memberikan soal tugas

Waktu: 100 menit Tutorial activities, exercises, and assignments.

Time: 100 minutes

Kuliah, latihan soal-soal serta memberikan soal tugas melalui


MyITS Classroom

Tutorial activities, exercises, and assignments via Synchronous/ asynchronous at

MyITS Classroom

Grafik fungsi log & eksponen fungsi invers trigonometri, turunan dan integralnya [1] hal: 43-89

Graph of the log functions & exponent, inverse trigonometric functions, derivatives and it's integral. [1] p: 43-89

4 Mampu menentukan invers fungsi hiperbolik. Students are able to determine the inverse of the hyperbolic function.

Kuliah Waktu Dosen: 50


Time: 50 minutes

Fungsi invers hiperbolik. [1] hal: 90-105 The inverse of the hyperbolic function. [1] p: 90-105

ASISTENSI KE_2 / 2nd ASSISTANCE


Exercises

Time : 50 menit 5 EVALUASI 1

EVALUATION 1

KUIS 1, bahan Bab 1 QUIZ 1 from Chapter 1

Ketajaman menyelesaikan soal soal yang terkait dengan materi Bab 1 The sharpness of solve the problems in Chapter 1.




melalui MyITS Classroom

WRITTEN TEST Time: 90

minutes via MyITS

Classroom

6 Mampu menyelesaikan integral parsial dan integral fungsi trigonometri

Ketepatan menyelesaikan integral parsial dan fungsi trigonometri

Ketajaman menyelesaikan integral parsial dan fungsi trigonometri Soal-soal latihan serta tugas.



Time: 50 minutes


Sinkronus/

Teknik Integrasi [1] hal: 107-125

Students are able to solve partial integral and integral of trigonometry function.

The accuracy of solving integral of partial and trigonometry functions.

The sharpness of solving integral partial and trigonometry functions. Exercises and assignments.

ASISTENSI KE_3 / 3rd ASSISTANCE


Exercises

Time : 50 menit

asinkronus di MyITS

Classroom



MyITS Classroom

Integration Technique [1] p: 107-125

7 Mampu menyelesaikan Integral fungsi rasional. Students are able to solve the integration of rational functions.

Ketepatan menyelesaikan Integral fungsi rasional. The accuracy of solving the integration of rational functions.

Ketajaman menyelesaikan Integral fungsi rasional. Soal-soal latihan serta tugas. The sharpness of solving the integration of rational functions. exercises and assignments



Time: 100 minutes



MyITS Classroom



MyITS Classroom

Teknik Integrasi [1] hal: 125-135 Integration Technique [1] p: 125-135

8 Mampu pengaplikasikan Teknik teknik integral yang lain

Students are able to applicate other integral techniques.

Ketepatan subtitusi dalam menyelesaikan intrgral menuju bentuk integral fungsi invers trigonometri The accuracy of subtitution in solving integral to trigonometry inverse integral function

Ketajaman mengaplikasikan Teknik teknik integral yang lain soal-soal latihan serta tugas The sharpness of applicating other integral techniques



Time: 50 minutes



MyITS Classroom



MyITS Classroom

Teknik Integrasi

[1] hal: 136-146 Integration Technique [1] p: 136-146

ASISTENSI KE_4 / 4th ASSISTANCE


Exercises

Time : 50 menit

9 Mampu menghitung integral dengan hampiran/ integrasi numerik. Students are able to calculate integrals with approximation / numerical integration.

Ketepatan menghitung integrasi numerik. The accuracy of calculating numerical integration.

Ketajaman menghitung integrasi numerik. The sharpness of calculating numerical integration.

Kuliah, latihan soal-soal serta memberikan soal tugas Waktu: 100 menit Tutorial activities, exercises, and assignments.

Time: 100 minutes



MyITS Classroom


Synchronous/

Integrasi Hampiran [1] hal: 147-164 Numerical integration [1] p: 147-164

asynchronous at MyITS

Classroom 10 Mampu menghitung Integral

tak wajar dan mampu menyelesaikan & aturan L'Hospital's serta Limit bentuk tak tentu. Students are able to solve improper integral, L'Hospital's rule & indeterminate form.

Ketepatan menghitung Integral tak wajar dan limit bentuk tak tentu The accuracy of solving improper integral and indeterminate form

Ketajaman menghitung Integral tak wajar dan Limit bentuk tak tentu Soal-soal latihan serta tugas The sharpness of solving improper integral and indeterminate form Exercises and assignments.



Time: 50 minutes



MyITS Classroom



MyITS Classroom

Integral tak wajar, aturan L'Hospital dan Limit bentuk tak tentu. [1] hal: 165-191 Improper integral, L'Hospital's rule and indeterminate form. [1] p: 165-191



Exercises

Time : 50 menit

11 EVALUASI 2

EVALUATION 2

KUIS 2, BAHAN BAB 2 DAN 3

QUIZ 2: Chapter 2 & 3

Ketajaman menyelesaikan soal

soal yang terkait dengan materi Bab2

dan 3 The sharpness of

solve the problems in Chapter 2 &3.





WRITTEN TEST Time: 90

minutes via MyITS

Classroom

12 Mampu menghitung Luas bidang datar Students are able to calculate the area between curves.

Ketepatan menghitung Luas bidang datar The accuracy of calculating the area between curves.

Ketajaman menghitung Luas bidang datar soal-soal latihan serta tugas The sharpness of calculating the area between curves. Exercises and assignments.



Time: 50 minutes



MyITS Classroom



MyITS Classroom

Aplikasi intergral Tertentu

[1] hal: 193-200 Applications of Integrals [1] p: 193-200



Exercises

Time : 50 menit

13 Mampu menghitung volume revolusi yang dibentuk dengan memutar daerah pada bidang xy , sumbu x, sumbu y, atau garis horizontal atau vertikal lainnya.

Ketepatan menghitung volume benda putar metode irisan, metode cakram dan metode cincin silinder.

Ketajaman menghitung volume benda putar. Soal-soal latihan serta tugas



Time: 100 minutes



MyITS Classroom


Synchronous/

Volume benda putar [1] hal: 201-218

14 Students are able to calculate the method of disks and washers to find the volume of a solid of revolution formed by revolving a region in the xy-plane about the x−axis, y-axis, or any other horizontal or vertical line.

The accuracy of calculating the volume by slicing; Disks and Washers.

The sharpness of calculating the volume of area revolution. Exercises and assignments.



Time: 50 minutes

asynchronous at MyITS

Classroom

The volume by slicing; Disks and Washers. [1] p: 201-218



Exercises

Time : 50 menit 15,16 EVALUASI KE_3

3rd EVALUATION

UJIAN TENGAH SEMESTER MID TERM EXAM

Ketajaman menyelesaikan soal soal yang terkait dengan fungsi trensenden, teknik integrasi, aplikasi integral: luas bidang dan volume benda putar. The sharpness of solving transcendent function, integration technique and applied: the area between the curve and the volume of area revolution.

Ujian tertulis

Waktu: 90 menit

Written Test

Time: 90 minutes

TERJADWAL

Daring asinkronus

Waktu: 90 menit

SCHEDULED

Online asynchronous

Time: 90 minutes

17 Mampu menghitung panjang kurva dan melanjutkan pada luas permukaan benda putar. Students are able to calculate the arc length and extend on the concept the area of a surface of revolution.

Ketepatan menghitung panjang kurva dan luas permukaan benda putar. The accuracy of calculating the arc length of a curve and the area of a surface of revolution.

Ketajaman menghitung panjang kurva dan luas permukaan benda putar. Soal-soal latihan serta tugas The sharpness calculates the arc length of a curve and the area of a surface of revolution. Exercises and assignments.



Time: 100 minutes



MyITS Classroom



MyITS Classroom

Panjang kurva dan luas permukaan [1] hal: 219-228 Arc length of a curve and surface of the area [1] pl: 219-228

18 Mampu menentukan titik berat dan menerapkan dalil Guldin. Students are able to determine centres of gravity, centroids and apply Guldin’s theorem.

Ketepatan menerapkan teorema, dalil Guldin untuk menghitung titik berat: luas, Volume,panjang busur dan luas kulit. The accuracy of applying Guldin’s theorem to calculate the centres of gravity, the centroids: area, volume, length of arc, and area of surface.

Ketajaman menerapkan teorema, dalil Guldin menentukan titik berat soal-soal latihan serta tugas The sharpness of applying Guldin theorem to determine centroids. Exercises and assignments



Time: 50 minutes



MyITS Classroom



MyITS Classroom

Titik berat dan dalil Guldin. [1] hal: 249-258 Center of gravity, centroids & Guldin’s Theorem [1] p: 249-258



Exercises

Time : 50 menit

19 Mampu menggambar grafik dalam koordinat kutub Students are able to sketch graph in polar coordinate

Ketepatan menggambar grafik fungsi bentuk kutub. The accuracy of sketching out graph fuctions in polar coordinate.

Ketajaman menggambar Grafik dalam koordinat kutub. soal-soal latihan serta tugas The sharpness of sketching out graph in polar coordinate. Exercises and assignments



Time: 100 minutes



MyITS Classroom



MyITS Classroom

Grafik dalam Koordinat kutub [1] hal: 259 -279 Graphs in Polar Coordinates [1] p: 259-279

20 Mampu menghitung luas dalam sistem koordinat Kutub. Students are able to calculate the area in Polar coordinate system.

Ketepatan menghitung luas dalam kutub. The accuracy of calculating the area in Polar coordinate system.

Ketajaman menghitung Luas dalam koord kutub soal-soal latihan serta tugas The sharpness calculates the area in Polar coordinate system. Exercises and assignments



Time: 50 minutes



MyITS Classroom



MyITS Classroom

Luasan dalam Koordinat kutub [1] hal: 280-287 Area in Polar Coordinates [1] p: 280-287



Exercises

Time : 50 menit

21 Mampu: - Menjelaskan fungsi

parametrik, garis singgung. - Menghitung panjang busur

dalam koordinat kutub Students are able to:

- Explain the parametric functions, the tangent line.

- Calculate the arc length in polar coordinates.

Ketepatan menghitung panjang busur dalam bentuk parametrik dan bentuk kutub The accuracy of calculating the arc length in parametric form and polar coordinates

Ketajaman menghitung panjang busur dan dalam koordinat kutub dan bentuk parametrik. Soal-soal latihan serta tugas The sharpness of calculating the arc length in polar coordinates also in parametric form. Exercises and assignments



Time: 100 minutes



MyITS Classroom



MyITS Classroom

Persamaan parametrik, garis singgung dan panjang busur. [1] hal: 288-308 Parametric equations; tangent lines and arc length. [1] p: 288-308

22 Mampu menjelaskan barisan, kekonvergenan deret tak hingga dengan Uji konvergenan Deret. Students are able to explain sequences, convergence of infinite series using convergence tests

Ketepatan menentukan kekonvergenan Barisan, menguji kekonvergenan Deret tak hingga dan menghitung jumlahnya The accuracy of determining the sequence converges, test the convergence of infinite series and calculate its amount

Ketajaman menguji kekonvergenan deret tak hingga dan menghitung jumlahnya Soal-soal latihan serta tugas The sharpness of testing the convergence of infinite series and calculate its amount Exercises and assignments



Time: 50 minutes



MyITS Classroom



MyITS Classroom

Barisan dan deret, Uji konvergensi deret tak hingga [1] hal: 309-348

Sequences and series, Infinite series convergence test [1] p: 309-348



Exercises

Time : 50 menit

23 EVALUASI KE_4

4th EVALUATION

KUIS KE_3: Bahan Panjang kurva dan luas permukaan, Dalil Guldin dan Bab 5 3rd Quiz: Arc length of a curve and surface of area, Guldin’s theorem and Chapter 5

Ketajaman menyelesaikan soal soal yang terkait Panjang kurva dan luas permukaan, Dalil Guldin & Bab 5 The sharpness of solving the test related to Arc length of a curve and surface of area, Guldin’s theorem & Chapter 5






Via MyITS Classroom

24 Mampu menjelaskan deret berganti tanda. Students are able to explain the alternating series.

Ketepatan menentukan deret berganti tanda The accuracy of the alternating series.

Ketajaman menguji kekonvergenan deret berganti tanda. Soal-soal latihan serta tugas The sharpness of testing the convergence of the alternating series. Exercises and assignments



Time: 50 minutes



MyITS Classroom



MyITS Classroom

Deret berganti tanda [1] hal: 349-352 Alternating series. [1] p: 349-352



Exercises

Time : 50 menit

25

26

Mampu mentransformasikan fungsi ke dalam bentuk deret Taylor dan deret Maclaurin. Students are able to transfrom function to Taylor and Maclaurin Polynomials.

Ketepatan mendapatkan deret Taylor dan Maclaurin. The accuracy of solving Taylor and Maclaurin Polynomials.

Ketajaman mentransformasi kan fungsi ke dalam bentuk deret Polinomial Soal-soal latihan serta tugas The sharpness of transforming function to polynomial series form. Exercises and assignments



Time: 100 minutes



MyITS Classroom



MyITS Classroom

Deret Taylor dan Maclaurin [1] hal: 353-362 Taylor and Maclaurin Polynomials [1] p: 353-362



Time: 50 minutes



Exercises

Time : 50 menit 27

Mampu menerapkan diferensiasi dan integrasi deret pangkat

Ketepatan mendapatkan deferensiasi dan integrasi deret pangkat

Ketajaman mendapatkan deret fungsi Logaritma. Soal-soal latihan serta tugas


Waktu: 100 menit


Sinkronus/

Diferensiasi dan integrasi deret pangkat [1] hal: 381-391

28

Students can apply differentiation and integration of power series.

The accuracy of obtaining the power series for derivatives and integrals of functions.

The sharpness of getting the differentiation and integration of logarithmic function series. Exercises and assignments

Tutorial activities, exercises, and assignments.

Time: 100 minutes

asinkronus di MyITS

Classroom Tutorial activities, exercises, and assignments via


MyITS Classroom

Differentiating and Integrating Power Series. [1] p: 381-391



Time: 50 minutes



Exercises

Time : 50 menit 29-32 EVALUASI KE_5

5th EVALUATION

UJIAN AKHIR SEMESTER FINAL EXAM

Ketajaman menyelesaikan soal soal panjang kurva dan luas permukaan benda putar, koordinat kutub dan deret tak hingga. The sharpness of solving the test related to arc length, surface of area, polar coordinate and Infinite series.

Ujian tertulis

Waktu: 90 menit

Written Examination

Time: 90 minutes

TERJADWAL

Daring asinkronus

Waktu: 90 menit

SCHEDULED

Online Asynchronous

Time: 90 minutes








7. Teknik penilaian: tes dan non-tes. 8. Bentuk pembelajaran: Kuliah, Responsi, Tutorial, Seminar atau yang setara, Praktikum, Praktik Studio, Praktik Bengkel, Praktik Lapangan, Penelitian, Pengabdian

Kepada Masyarakat dan/atau bentuk pembelajaran lain yang setara. 9. Metode Pembelajaran: Small Group Discussion, Role-Play & Simulation, Discovery Learning, Self-Directed Learning, Cooperative Learning, Collaborative Learning,

Contextual Learning, Project Based Learning, dan metode lainnya yg setara. 10. Materi Pembelajaran adalah rincian atau uraian dari bahan kajian yg dapat disajikan dalam bentuk beberapa pokok dan sub-pokok bahasan. 11. Bobot penilaian adalah prosentasi penilaian terhadap setiap pencapaian sub-CPMK yang besarnya proposional dengan tingkat kesulitan pencapaian sub-CPMK tsb.,

dan totalnya 100%. 12. TM=Tatap Muka, PT=Penugasan Terstuktur, BM=Belajar Mandiri.

Portfolio MK - 2

I. Halaman Pengesahan

EVALUASI KURIKULUM 2018-2023 Nama Fakultas: …..

Nama Prodi: …..

Nama MK: TECHNOPRENEUR

Kode (masing2 prodi)

Sem: 5 -6

Kode: UG4915 Bobot sks (T/P): 2 SKS Rumpun MK: …… Smt:

OTORISASI

Penyusun MUCHAMMAD NURIF, SE.MT NI GUSTI MADE RAI, S.PsI, M.Psi LIENGGAR RAHARDIANTINO, SE/ MSc DRA. SUKRIYAH KUSTANTI, M.Si

Koordinator RMK

MUCHAMMAD NURIF, SE.MT

Kaprodi Nama Kaprodi

TTD

TTD

TTD

Tanggal: 17 Juli 2020 Tanggal: 17 Juli 2020 Tanggal:…

Portfolio MK - 3

II. Capaian Pembelajaran (Learning Outcomes) Prodi

A. Capaian Pembelajaran Lulusan (CPL) / Programme Learning Outcomes (PLO) Kode CPL Deskripsi CPL

S4 Berperan sebagai warga negara yang bangga dan cinta tanah air, memiliki nasionalisme

serta rasa tanggungjawab pada negara dan bangsa

S10 semangat kemandirian, kejuangan, dan kewirausahaan

S11 Berusaha secara maksimal untuk mencapai hasil yang sempurna

S12 Bekerja sama untuk dapat memanfaatkan semaksimal mungkin potensi yang dimiliki

KU2 Mampu menunjukkan kinerja mandiri, bermutu, dan terukur

KU7 Mampu bertanggungjawab atas pencapaian hasil kerja kelompok dan melakukan

supervisi dan evaluasi terhadap penyelesaian pekerjaan yang ditugaskan kepada pekerja

yang berada di bawah tanggung jawabnya

KU13 Mampu menerapkan kewirausahaan dan memahami kewirausahaan berbasis teknologi

B. CPL yang dibebankan Pada MK Tuliskan CPL yang dibebankan pada MK

CPL-PRODI yang dibebankan pada MK S4 Berperan sebagai warga negara yang bangga dan cinta tanah air, memiliki

nasionalisme serta rasa tanggungjawab pada negara dan bangsa



S12 Bekerja sama untuk dapat memanfaatkan semaksimal mungkin potensi yang

dimiliki

KU2 Mampu menunjukkan kinerja mandiri, bermutu, dan terukur

KU7 Mampu bertanggungjawab atas pencapaian hasil kerja kelompok dan melakukan

supervisi dan evaluasi terhadap penyelesaian pekerjaan yang ditugaskan kepada

pekerja yang berada di bawah tanggung jawabnya

KU13 Mampu menerapkan kewirausahaan dan memahami kewirausahaan berbasis

teknologi

Capaian Pembelajaran Mata Kuliah (CPMK) Bila CP MK sbg penjabaran kemampuan setiap Tahap Pembelajaran dalam MK maka CPMK = Sub CPMK

CPMK1/ SubCPMK1

Mampu beradaptasi terhadap situasi yang dihadapi dan bertahan dalam kondisi

yang tidak pasti

CPMK2/ SubCPMK2

Mampu berinovasi dan berkreasi untuk menghasilkan rancangan bisnis/produk

(prototype) berbasis teknologi yang berorientasi pasar dengan memanfaatkan

IPTEKS.

CPMK3/ SubCPMK3

Mampu menyusun proposal business plan yang siap diajukan kepada

investor/penyandang dana.

CPMK4/ SubCPMK4

Bertanggung jawab pada pekerjaan sendiri dan dapat diberi tanggung jawab atas

pencapaian hasil kerja tim dengan mengedepankan etika bisnis.

CPMK5/ SubCPMK5

Mampu mengambil risiko bisnis dengan perhitungan yang tepat.

Portfolio MK - 4

III. Rencana Pembelajaran Semester Tuliskan RPS dalam bentuk format berikut / format lain (dengan syarat memenuhi SN DIKTI – permendikbud No 3/ 2020, pasal 12, dan memuat 9 unsur yang harus ada di dalam dokumen RPS)

INSTITUT TEKNOLOGI SEPULUH NOPEMBER (ITS) SUBDIREKTORAT KOORDINASI PERKULIAHAN BERSAMA Kode

Dokumen

RENCANA PEMBELAJARAN SEMESTER MATA KULIAH (MK) KODE Rumpun MK BOBOT (sks) SEMESTER Tgl Penyusunan TECHNOPRENEUR UG 4915 SKMB 2 0 V / VI 11 JULI 2020

OTORISASI / PENGESAHAN Dosen Pengembang RPS Koordinator RMK Ka PRODI


NI GUSTI MADE RAI, S.PsI, M.Psi

LIENGGAR RAHARDIANTINO, SE/ MSc

DRA. SUKRIYAH KUSTANTI, M.Si


Tanda tangan

Tanda tangan

Capaian Pembelajaran

CPL-PRODI yang dibebankan pada MK S4 Berperan sebagai warga negara yang bangga dan cinta tanah air, memiliki nasionalisme serta rasa tanggungjawab pada negara dan

bangsa



S12 Bekerja sama untuk dapat memanfaatkan semaksimal mungkin potensi yang dimiliki

Portfolio MK - 5

KU2 Mampu menunjukkan kinerja mandiri, bermutu, dan terukur KU7 Mampu bertanggungjawab atas pencapaian hasil kerja kelompok dan melakukan supervisi dan evaluasi terhadap penyelesaian

pekerjaan yang ditugaskan kepada pekerja yang berada di bawah tanggung jawabnya KU13 Mampu menerapkan kewirausahaan dan memahami kewirausahaan berbasis teknologi

Capaian Pembelajaran Mata Kuliah (CPMK) – Bila CP MK sebagai kemampuan pada tiap tahap pembelajaran CP MK = Sub CP MK

CPMK1/ SubCPMK1 Mampu beradaptasi terhadap situasi yang dihadapi dan bertahan dalam kondisi yang tidak pasti

CPMK1/SubCPMK2 Mampu beradaptasi dengan situasi yang tidak pasti dengan melakukan perhitungan analisa kelayakan

CPMK2/ SubCPMK3 Mampu berinovasi dan berkreasi untuk menghasilkan rancangan bisnis/produk (prototype) berbasis teknologi yang

berorientasi pasar dengan memanfaatkan IPTEKS.

CPMK3/ SubCPMK4 Mampu mengenali dan merumuskan model pemasaran dan merumuskan kebutuhan aspek SDM melalui pendekatan strategi

pemasaran berdasarkan tahap-tahapnya yang diwujudkan dalam simulasi untuk dalam membangun rasa tanggung jawab tim

yang mengedepankan etika bisnis

CPMK4/ SubCPMK5 Mampu menyusun rencana keuangan dan merumuskan kebutuhan aspek operasi dapat aplikasikan dalam proposal bisnis.

CPMK5/ SubCPMK6 Mampu menyusun proposal business plan yang menarik dan mampu mempersuasif pihak investor

Peta CPL – CP MK Tuliskan peta matriks antara CPL dengan CPMK (Sub CP MK)

S5 S8 KU1 KU2 KU9 KU10 Sub-CPMK1

Sub-CPMK2 Sub-CPMK3 Sub-CPMK4 Sub-CPMK5

Diskripsi Singkat MK

(Tuliskan deskripsi singkat MK yang berisi materi / bahan kajian MK, dan relevansi nya kegunaan / manfaat MK dengan Kondisi Riil) Mata kuliah ini memberikan pemahaman dan skill kepada mahasiswa untuk mampu mengidentifikasi, dan mengevaluasi peluang usaha berbasis

Portfolio MK - 6

teknologi sesuai dengan bidang keahlian mahasiswa, serta mengembangkan peluang usaha tersebut. Mata kuliah ini menggabungkan pengenalan

teori dan praktek langsung (hands-on experience) secara terintegrasi dalam mengembangkan ide dan peluang usaha. Pada akhirnya mahasiswa

diharapkan mampu menuangkan peluang usaha kedalam business plan yang efektif.

Bahan Kajian: Materi

pembelajaran

(Tuliskan materi / bahan kajian MK, secara rinci, dengan penulisan secara berurut) I. MATERI PEMBELAJARAN:

1. Pengantar Technopreneur dan Bisnis

2. Mengenali Peluang dan Menciptakan Ide Bisnis

3. Kelayakan Bisnis

4. Mengembangkan Business Model yang effektif

5. Sistematika Penulisan Business Plan

6. Manajemen Pemasaran

7. Manajemen Operasional dan SDM

8. Manajemen Keuangan

Pustaka Utama: (Tuliskan pustaka utama dalam susunan berurut) Pustaka Utama

1. Tim Pengembangan Technopreneurship ITS. (2015). Technopreneurship. Surabaya: ITS Press.

Pustaka Pendukung

1. Barringer, B. R., & Ireland, R. D. (2010). Entrepreneurship: Successfully launching new ventures. Upper Saddle River, N.J: Prentice Hall.

2. International Labor Organization, Generate Your Business Idea

3. International Labor Organization, Memulai Bisnis

4. Osterwalder, A., Pigneur, Y., & Clark, T. (2010). Business model generation: A handbook for visionaries, game changers, and challengers.

Hoboken, NJ: Wiley.

5. William, B. K., Sawyer, S. C., Berston, S., (2013). Business: A Practical Introduction. Upper Saddle River, N.J: Prentice Hall

6. Kotler, Philips (2002). Majemen Pemasaran. Erlangga (edisi terjemahan)

( mohon dapat ditulis dengan standar penulisan pustaka yg terstandar internasional dan konsisten, misalnya standar APA)

Portfolio MK - 7

Pendukung:

(Tuliskan Pustaka penunjang , dituliskan secara berurut)

Dosen Pengampu Tim Dosen TECHNOPRENEUR ITS

Matakuliah syarat -

Mg Ke- Kemampuan akhir tiap tahapan belajar (Sub-CPMK)

Penilaian Bantuk Pembelajaran; Metode Pembelajaran; Penugasan Mahasiswa;

[ Estimasi Waktu]

Materi Pembelajaran

[Pustaka]

Bobot Penilaian

(%) Indikator Kriteria & Teknik

(1) (2) (3) (4) Tatap Muka (5) Daring (6) (7) (8) Tuliskan kemampuan tahap

ke 1 dalam pembelajaran (Sub CPMK 1)

Tuliskan indikator ketercapaian dari kemampuan Sub CPMK 1

Tuliskan bentuk asesmen terhadap Sub CPMK1 Jumlah dan Bentuk asesmen untuk setiap Sub CPMK bisa lebih dari 1

Tuliskan bentuk pembelajaran dan waktu yg diperlukan dalm bentuk luring

Tuliskan aktifitas luring, dan berikan url nya

Tuliskan materi dan pustaka yang digunakan

Tuliskan besarnya

bobot untuk

pencapaian Sub CPMK 1

1-2 Sub-CPMK1:

Mampu beradaptasi dengan

situasi yang tidak pasti

dengan menyebutkan dan

merumuskan macam dan

1.1 Ketepatan mencari

sumber informasi

yang relevan dalam

menemukan

kekuatan/ potensi

Kriteria:

Rubrik 1

Teknik nontes:

Laporan hasil

Bentuk Pembelajaran Kuliah

[TM: 2mgx(2sksx50”)]

Bentuk Pembelajaran Kuliah tatap muka my

its classroom: sinkron

atau asinkron.

Buku

technoprene

ur ITS

Barringer

10

Portfolio MK - 8

ragam bisnis yang bertahan

dalam situasi terkini sesuai

tren sebagai peluang usaha

baru.

entrepreneur dan

menemukan macam-

macam bisnis yang

mampu bersaing dan

reseliens (bertahan)

dalam situasi terkini

yang tidak pasti

1.2 Ketepatan

menemukan peluang

ide bisnis

berdasarkan

masalah

wawancara

Tes:

Presentasi

kelompok

Metode Pembelajaran: Small group discussion, collaborative learning,

presentasi

• Tugas 1a –analisa

kekuatan/ potensi dari

contoh entrepeneur

sukses

Tugas 1b menyusun

ide bisnis (presentasi

kelompok)

[PT+BM:(2+2)x(2x60”)]


Metode Pembelajaran: Small group discussion, collaborative

learning, presentasi

• Tugas 1a –

Wawancara

kekuatan/ potensi

dari contoh

entrepeneur sukses

dan analisis

stakeholder

Tugas 1b menyusun

ide bisnis (presentasi

kelompok)

[PT+BM:(2+2)x(2x60”)]

3-5 Sub-CPMK1:

Mampu beradaptasi dengan

situasi yang tidak pasti

dengan menyebutkan dan

merumuskan desaian analisa

kelayakan.

1.1 Ketrampilan

menyusun

pertanyaan survei

sebagai kegiatan

analisa kelayakan

bisnis

1.2 Mengintegrasikan

data kualitatif atau

kuatitatif sebagai

Kriteria: Rubrik 2



presentasi




atau asinkron.


Metode

Buku

technoprene

ur ITS

Barringer

15

Portfolio MK - 9

problem untuk

menentukan usulan

peluang ide dalam

menjawab

kebutuhan calon

pasar

• Tugas 2

Membuat analisa

kelayakan melalui

consept test.

[PT+BM:(2+2)x(2x60”)]

Pembelajaran: Small group discussion, collaborative


Tugas analisa

kelayakan

Membuat analisa

kelayakan melalui

consept test.

Presentasi Ide

Bisnis

[PT+BM:(2+2)x(2x60”)]

6-8 Sub-CPMK2: Mampu

berinovasi dan berkreasi

untuk menghasilkan

rancangan bisnis berbasis

teknologi yang berorientasi

pasar dengan memanfaatkan

IPTEKS melalui model bisnis

1.1 Ketepatan

mengidentifikasi ide

bisnis dalam bentuk

pola model bisnis

(BMC)

1.2 Ketepatan

menguraikan masing-

masing aspek model

bisnis dan

mengkaitkan antar

aspek dalam model

bisnis yang disusun

Kriteria:

Rubrik 3

Teknik nontes:

Observasi &

unjuk kerja;

presentasi

kelompok



presentasi

[TM: 2mgx(2sksx50”)] • Tugas-3:

- Presentasi kelompok

membuat desain

BMC

- menyusun ppt

[PT+BM:(2+2)x(2x60”)]



atau asinkron.




Tugas-Presentasi 2 BMC - Presentasi kelompok

- Osterwalder

- PPT Tim

Technoprene

ur ITS

-

15

Portfolio MK - 10

membuat desain

BMC di minggu 8.

- menyusun ppt

[PT+BM:(2+2)x(2x60”)]


mengenali dan merumuskan

model pemasaran melalui

pendekatan strategi

pemasaran berdasarkan

tahap-tahapnya yang

diwujudkan dalam simulasi

untuk dalam membangun

rasa tanggung jawab tim yang

mengedepankan etika bisnis.

1.1 Ketepatan mengenal

pedoman

penyusunan proposal

bisnis dan

memaparkan

prototype

1.2 Ketepatan melakukan

analisa stategi

pemasaran sesuai

jenis produk

Kriteria:

Rubrik 4

Teknik Tes : Kuis (minggu

11)

Materi

marketing

Teknik nontes: Observasi,

unjuk kerja,

penelusuran

contoh

proposal,

rancangan

marketing,

prototype



presentasi

[TM: 2mgx(2sksx50”)] • Tugas-4:

- Pemaparan

prototype ide

bisnis secara visual

- rancangan analisa

marketing

- menyusun ppt

[PT+BM:(2+2)x(2x60”)]

Kuliah tatap muka maya; my classroom

its

Diskusi, tanya jawab

sinkron dan asinkron;

[TM: 2x(2x50”)]

MyITS-Classroom:

Tugas-: - Tugas belajar

mandiri (log book)

penelusuran

contoh proposal :

logbook

dilaporkan di

minggu ke-10.

- Kuis marketing di

minggu ke-11

- Tugas belajar

mandiri marketing

- Tugas Presentasi

Prototype di

presentasikan di

minggu 12.

- Contoh PKM

(K) dan

proposal

bisnis dari

kompetisi

- Buku

technopren

eur ITS

- PPT Tim

Technoprene

ur ITS

- Manjemen

pemasaran

Philip kotler

15

Portfolio MK - 11

[PT+BM:(2+2)x(2x60”)] 13 Mampu mengenali dan

merumuskan aspek

manajemen SDM berdasarkan

tahap-tahapnya sebagai

bagian penting dalam

mencapai bisnis yang

reseliens yang diwujudkan

dalam simulasi untuk dalam

membangun rasa tanggung

jawab tim yang

mengedepankan etika bisnis.

1.3 ketepatan

menganalisa

kebutuhan dan

merumuskan sistem

SDM yang sesuai jenis

bisnis yang

dikembangkan.

Kriteria:

Rubrik kerja

kelompok tugas

mandiri

Teknik NonTes :

Teknik nontes:

Observasi &

unjuk kerja

menyusun

kebutuhan SDM



presentasi




atau asinkron.




Tugas-5:

- rancangan SDM

- menyusun ppt

- Buku

technopren

eur ITS

- PPT Tim

Technopre

neur ITS

- Tugas

belajar

mandiri :

aspek

manjemen

SDM

7,5

14 Sub-CPMK4:

Mampu mengenali dan

merumuskan aspek operasi

dan mampu menyusun

rencana keuangan dan

melakukan perhitungan yang

tepat dalam mengembangkan

rencana bisnis yang dapat

aplikasikan dalam proposal

bisnis.

1.1 ketepatan

menganalisa dan

merumuskan kebutuhan

aspek manajemen

operasi sesuai jenis bisnis

yang akan dikembangkan

1.2 Ketepatan menyusun

rencana kebutuhan

keuangan dan melakukan

perhitungan keuntungan

Kriteria: Rubrik kerja

kelompok tugas

mandiri

Teknik nonTes : Observasi & unjuk

kerja

Menyusun

kebutuhan

operasi dan



presentasi


[PT+BM:(1+1)x(1x60”)]



atau asinkron.



- Buku

technopren

eur ITS

- PPT Tim

Technopre

neur ITS

- Tugas

belajar

mandiri :

aspek

manjemen

operasi dan

7,5

Portfolio MK - 12

(profit usaha). kebutuhan dan

perencanaan

keuatan serta

pencatatannya.

Tugas belajar mandiri

aspek operasi dan

keuangan

[TM:1mgx(1sksx50”)] [PT+BM:(1+1)x(1x60”)]

keuangan


menyusun proposal business plan yang menarik dan

mampu mempersuasif pihak

investor

1.1 Ketepatan menyusun

proposal bisnis plan yang

mampu menarik

perhatian pihak investor

Kriteria:

Rubrik 5:

Proposal Binis

(Business Plan)

Teknik nontes:

Observasi & unjuk kerja; presentasi

kelompok

dengan

mengedepanka

n prinsip

komunikasi

bisnis (efektif

dan persuasi)



presentasi


[PT+BM:(2+2)x(2x60”)]



atau asinkron.




Tugas 5: - Tugas Presentasi

akhir proposal

bisnis

- Menyusun ppt

[PT+BM:(2+2)x(2x60”)]

- Buku

technopren

eur ITS

- PPT Tim

Technopre

neur ITS

-

30

100

Portfolio MK - 13


1. Capaian Pembelajaran Lulusan PRODI (CPL-PRODI) adalah kemampuan yang dimiliki oleh setiap lulusan PRODI yang merupakan internalisasi dari sikap, penguasaan pengetahuan

dan ketrampilan sesuai dengan jenjang prodinya yang diperoleh melalui proses pembelajaran.

2. CPL yang dibebankan pada mata kuliah adalah beberapa capaian pembelajaran lulusan program studi (CPL-PRODI) yang digunakan untuk pembentukan/pengembangan sebuah

mata kuliah yang terdiri dari aspek sikap, ketrampulan umum, ketrampilan khusus dan pengetahuan.

3. CP Mata kuliah (CPMK) adalah kemampuan yang dijabarkan secara spesifik dari CPL yang dibebankan pada mata kuliah, dan bersifat spesifik terhadap bahan kajian atau materi

pembelajaran mata kuliah tersebut.

4. Sub-CP Mata kuliah (Sub-CPMK) adalah kemampuan yang dijabarkan secara spesifik dari CPMK yang dapat diukur atau diamati dan merupakan kemampuan akhir yang direncanakan

pada tiap tahap pembelajaran, dan bersifat spesifik terhadap materi pembelajaran mata kuliah tersebut.

5. Indikator penilaian kemampuan dalam proses maupun hasil belajar mahasiswa adalah pernyataan spesifik dan terukur yang mengidentifikasi kemampuan atau kinerja hasil belajar

mahasiswa yang disertai bukti-bukti.

6. Kreteria Penilaian adalah patokan yang digunakan sebagai ukuran atau tolok ukur ketercapaian pembelajaran dalam penilaian berdasarkan indikator-indikator yang telah ditetapkan.

Kreteria penilaian merupakan pedoman bagi penilai agar penilaian konsisten dan tidak bias. Kreteria dapat berupa kuantitatif ataupun kualitatif.

7. Teknik penilaian: tes dan non-tes.

8. Bentuk pembelajaran: Kuliah, Responsi, Tutorial, Seminar atau yang setara, Praktikum, Praktik Studio, Praktik Bengkel, Praktik Lapangan, Penelitian, Pengabdian Kepada Masyarakat

dan/atau bentuk pembelajaran lain yang setara.

9. Metode Pembelajaran: Small Group Discussion, Role-Play & Simulation, Discovery Learning, Self-Directed Learning, Cooperative Learning, Collaborative Learning, Contextual Learning, Project Based Learning, dan metode lainnya yg setara.

10. Materi Pembelajaran adalah rincian atau uraian dari bahan kajian yg dapat disajikan dalam bentuk beberapa pokok dan sub-pokok bahasan.

11. Bobot penilaian adalah prosentasi penilaian terhadap setiap pencapaian sub-CPMK yang besarnya proposional dengan tingkat kesulitan pencapaian sub-CPMK tsb., dan totalnya

100%.

12. TM=Tatap Muka, PT=Penugasan Terstuktur, BM=Belajar Mandiri.

Portfolio MK - 14

IV. Rencana Penilaian / Asesmen & Evaluasi RAE), dan Rencana Tugas Tuliskan RAE (diambilkan dari bagian RPS)

RENCANA ASSESSMENT & EVALUASI Tuliskan Nama Prodi

MK : TECHNOPRENEUR

RA&E Tuliskan

Kode IG4915

Kode:Tuliskan Kode

Bobot sks (T/P): Tuliskan bobot

Rumpun MK: Tuliskan Nama Rumpun MK

Smt: 6

OTORISASI

Penyusun RA & E Tuliskan Nama Dosen Penyusun RAE

Koordinator RMK Tuliskan Nama Koordinator RMK

Ka PRODI Tuliskan Nama

kaprodi

Mg ke (1)

Sub CP-MK (2)

Bentuk Asesmen (Penilaian) (3)

Bobot (%) (4)

1 Tuliskan Sub CP MK

1 (dari kolom 2 RPS)

Tuliskan bentuk asesmen (dari kolom 4 RPS) Tuliskan

besarnya

bobot

asesmen

(kolom 8

dalam RPS)

1-2 Mampu beradaptasi

dengan situasi yang

tidak pasti dengan

menyebutkan dan

merumuskan macam

dan ragam bisnis

yang bertahan

dalam situasi terkini

sesuai tren sebagai

peluang usaha baru.

Kriteria:

Rubrik 1a: wawancara entrepreneur

Teknik nontes:

Observasi dan unjuk kerja, Laporan hasil wawancara

Presentasi Ide Bisnis

10 %

3-5 Sub-CPMK1:

Mampu beradaptasi

dengan situasi yang

tidak pasti dengan

menyebutkan dan

merumuskan

desaian analisa

kelayakan.

Kriteria: Rubrik Analisa kelayakan Ubrik 1b: Rubrik Presentasi Ide Bisnis Teknik nontes:

Observasi dan unjuk kerja

15

6-8 Sub-CPMK2:

Mampu berinovasi

dan berkreasi untuk

Kriteria:

Rubrik BMC

15

Portfolio MK - 15

Mg ke (1)

Sub CP-MK (2)


Bobot (%) (4)

menghasilkan

rancangan bisnis

berbasis teknologi

yang berorientasi

pasar dengan

memanfaatkan

IPTEKS melalui

model bisnis

Teknik nontes:

Observasi & unjuk kerja; presentasi kelompok

9-12 Sub-CPMK3:

Mampu mengenali

dan merumuskan

model pemasaran

melalui pendekatan

strategi pemasaran

berdasarkan tahap-

tahapnya yang

diwujudkan dalam

simulasi untuk

dalam membangun

rasa tanggung jawab

tim yang

mengedepankan

etika bisnis.

Kriteria:

RUbrik kerja mandiri 1: contoh bisnis plan

Rubrik kerja mandiri 2 :marketing

Rubrik Presentasi Prototype

Teknik Tes : Kuis

Materi marketing

Teknik nontes: Observasi, unjuk kerja, penelusuran contoh proposal

15

13 Sub-CPMK3:

Mampu mengenali

dan merumuskan

model pemasaran

melalui pendekatan

strategi pemasaran

berdasarkan tahap-

tahapnya yang

diwujudkan dalam

simulasi untuk

dalam membangun

rasa tanggung jawab

tim yang

mengedepankan

etika bisnis.

Kriteria:

Rubrik kerja mandiri 3 : SDM

Teknik Tes : Kuis

Materi SDM

Teknik nontes:

Observasi & unjuk kerja menyusun kebutuhan SDM

7,5

14 Sub-CPMK4:

Mampu mengenali

dan merumuskan

aspek operasi dan

mampu menyusun

rencana keuangan

dan melakukan

perhitungan yang

tepat dalam

mengembangkan

Kriteria: Rubrik Kerja mandirii 4: Operasi dan Keuangan

Teknik nonTes : Observasi & unjuk kerja

Menyusun kebutuhan operasi dan kebutuhan dan

perencanaan keuangan serta pencatatannya.

7,5

Portfolio MK - 16

Mg ke (1)

Sub CP-MK (2)


Bobot (%) (4)

rencana bisnis yang

dapat aplikasikan

dalam proposal

bisnis.

15-16

Sub-CPMK5: Mampu

menyusun proposal

business plan yang

menarik dan mampu

mempersuasif pihak

investor

Kriteria:

Rubrik Presentasi : Proposal Binis (Business Plan)

Teknik nontes:

Observasi & unjuk kerja; presentasi kelompok dengan

mengedepankan prinsip komunikasi bisnis (efektif dan

persuasi)

30

Total bobot penilaian 100%

Portfolio MK - 17

V. Portofolio penilaian & evaluasi proses dan hasil belajar setiap mahasiswa

Tabel ini untuk setiap mahasiswa, sehingga bisa di copy paste (inilah bentuk protofolio / perkembangan kemampuan mahasiswa)

Mg ke CPL (yg dibebankan

pd MK)

CPMK (CLO)

Bentuk Penilaian (Bobot%)* Bobot (%) CPMK

Nilai Mhs (0-100)

((Nilai Mhs) X (Sub-Bobot%)*)

Ketercapaian CPL pd MK (%)

Diskripsi Evaluasi & Tindak lanjut

perbaikan (1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Tuliskan

Mg ke

…

Tuliskan

CPL yg

dibebankan

pd MK

(diambilkan

dari RPS)

Tuliskan CP

MK

(diambilkan

dari RPS)

Boleh sama

dengan sub

CPMK

Tuliskan

betuk

asesmen

(diambilkan

dari RPS)

Tuliskan bobot

setiap asesmen

(diambilkan dari setiap

bagian bobot di RPS)

bobot setiap

asesmen untuk

setiap Sub CP

MK

(diambilkan

dari bobot di

RPS)

Tuliskan tindak

lanjut (apabila

sudah lolos / lulus),

tuliskan “lulus”

Bila belum lulus,

tuliskan “tindak

lanjut yang akan

diberikan kpd mhs

berupa “aktifitas

tambahan”

Portfolio MK - 18

CONTOH

Mg ke CPL (yg dibebankan

pd MK)

CPMK (CLO)

Bentuk Penilaian (Bobot%)* Bobot (%) CPMK

Nilai Mhs (0-100)

((Nilai Mhs) X (Sub-Bobot%)*)

Ketercapaian CPL pd MK (%)

Diskripsi Evaluasi & Tindak lanjut

perbaikan (1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

1-2 CPL-6 CPMK-6 Tugas-wwcr

entrepreneur

10

10

3-5

CPMK 1 Tugas analisa

kelayakan

Tugas

Presentasi

ide bisnis

5

10

15

6-8 CPMK 2 Tugas

Presentasi

BMC

15

15

9-12

CPMK 3 Tugas

mandiri

contoh

proposal

Tugas

mandiri

Marketing

Kuis

Tugas

presentasi

prototype

2,5

2,5

5

5

15

13 CPMK 3 Tugas

mandiri SDM

7,5 7,5

14 CPMK 4 Tugas 7,5 7,5

Portfolio MK - 19

mandiri

Operasi &

keu

15-16 CPMK 5 CPMK 5 Tugas

Presentasi

Ide Bisnis

30

30

Portfolio MK - 20

Lampiran

A. Rencana Tugas & Rubrik Penilaian Pertemuan 1-2

Tujuan Pembelajaran Sub CPMK

Mampu beradaptasi dengan situasi yang tidak pasti dengan menyebutkan dan merumuskan macam dan ragam bisnis yang

bertahan dalam situasi terkini sesuai tren sebagai peluang usaha baru.

Tugas-1a

Wawancara tokoh entrepreneur atau technopreneur yang ada di lingkungan anda! Gali informasi terkait tantangan dan

manfaat sebagai entrepreneur. Dan analisis stakeholder yang terlibat dan sebutkan masing-masing peran utamanya.

Tujuan Tugas:

Menggali informasi terkait tantangan dan manfaat sebagai entrepreneur. Dan menjadapatkan informasi mengenai stakeholder

yang terlibat dalam pengembangan bisnis.

Uraian Tugas :

- Membentuk kelompok yang terdiri dari (maks 5 mahasiswa) yang berada dari departemen campuran.

- Mencari tokoh entrepreneur atau technopreneur serta memawancarai (kontak melakukan wawancara via chat ataupun

telephone, melalui media online)

- Susunlah pertanyaan yang diajukan sebagai pedoman wawancara (tentukan aspek-aspek penting yang ingin ditanyakan

oleh kelompok)

- Masing-masing anggota diharapkan turu tberkontribusi dalam penyusunan pedoman pertanyaan dan dapat memberikan

usulan pertanyaan.

Metode / Cara pengerjaan :

- Diskusikan tugas dengan kelompok anda. Diskusi melalui onlinedan

- Pembagian kerja dapat disusun mulai sejak perencanaan tugas dilakukan dan setelah pelaksanaan.

- Laporan tertulis dikumpulkan dalam bentuk PPT masing-masing kelompok.

- Tugas dipresentasikan (secara acak) dengan PPT.

RUBRIK Tugas 1a Wawancara entrepreneur

Dimensi Sangat Baik Baik Cukup Kurang Ket

KRITERIA 86-100 71-85 55-70 0-54 score Organisasi 10 %

- Inisiatif mencari

tokoh

entrepreneur yang

“berpengaruh “ di

lingkungan. Dan

memiliki bisnis

yang memasuki

min. 5 tahun.

- Dan menyajikan

- Inisiatif mencari

entrepreneur yang

relatif stabil yang

ada di lingkungan.

- Dan menyajikan

hasil pelaporan

dengan baik.

- Cenderung memilih

entrepreneur yang

baru memulai usaha/

bisnisnya.

- Menyerahkan laporan

tanpa ada usaha untuk

menampilkan kesan

lebih menarik.

- Memilih

entrepreneur dengan

apa adanya. Tidak

adanya ketertarikan

dalam bisnis yang

dikembangkan.

Memilih karena

“asal”.

- Tidak berusaha

Portfolio MK - 21

hasil pelaporan

dengan baik,

tertruktur, dan

menarik.

menampilkan

pelaporan yang

menarik. Hanya di

print pada satu atau

dua lembar kertas.

Isi (Hasil wawancara) & Analisis Stake Holder

60 %

- Mampu

menunjukkan hasil

yang terstruktur

dalam melakukan

wawancara hingga

menyimpulkan.

- Mampu

menyebutkan

poin-poin penting

dengan jelas.

- Mampu

mengintegrasikan

informasi yang

diperoleh dalam

rangka

menyiapkan diri

sebagai generasi

muda dan calon

entrepreneur.

- Mampu menarik

makna dalam

memulai usaha

baru dalam

pengalaman

pengusaha/

entrepreneur.

- Mampu merinci

dengan jelas siapa

dan bagaimana

peran stakeholder

terhadap

pengembangan

suatu bisnis.

- Mampu

memaparkan

hasil wawancara

dengan cara yang

cukup mudah

dipahami hingga

menyimpulkan.

- Mampu

menyebutkan

poin-poin penting

meskipun tidak

disebutkan secara

terinci.

- Mampu merinci

siapa dan

bagaimana peran

stakeholder

terhadap

pengembangan

suatu bisnis.

- Hasil wawancara

kurang dipaparkan

dengan jelas. Tidak

adanya alur yang

baik dalam

melakukan proses

wawancara

sehingga

kesimpulan yang

cenderung instant. - Tidak melakukan

analisa atas

informasi yang

diperoleh dan

dihubungan

dengan peran

sebagai calon

entrepeneur.

- Kurang jelas

menunjukkan siapa

dan peran

stakeholder

terhadap

pengembangan

suatu bisnis.

- Tidak ada bukti hasil

wawancara langsung

menyimpulkan

dengan singkat

mengenai

karakteristik hingga

peran entrepreneur.

- Tidak ada point-poin

penting yang

dipaparkan.

- Tidak menjelaskan

keterkaitan informasi

dari data terhadap

manfaat bagi calon

entrepreneur.

- Tidak menjelaskan

mengenai siapa dan

peran stakeholder

terhadap

pengembangan suatu

bisnis.

Penampilan Presentasi 20 %

- Berbicara dengan

semangat,

antusias, dan

persuasif

- Mampu

melibatkan

anggota lain

untuk berperan

aktif dalam

presentasi

- Mampu

berinteraksi

secara interaktif

dengan

mahasiswa lain

- Mampu

menanggapi

dengan tepat dari

pertanyaan yang

- Berbicara dengan

tenang, semangat

- Mampu berbagi

peran di

kelompok

- Mampu

berinteraksi

dengan tim

dalam menjawab

pertanyaan dari

mahasiswa lain

- Kurangnya usaha

mempersuasi

perserta lainnya

untuk melihat

presentasi

kelompoknya

- Berpatokan pada

slide atau laporan

yang dibuat

- Berbicara dengan

kurang luwes

- Tidak

mengembangkan

materi yang

dipaparkan

- Gaya bicara cemas

dan terbata-bata

- Mencari dan

menggunakan

catatan dalam

presentasi dalam

keseluruhan

- Kurang

diperhatikan oleh

peserta mahasiswa

lainnya.

- Tidak menjalin

kontak mata

dengan tim

maupun peserta

lainnya

-

Portfolio MK - 22

diajukan kepada

kelompok

Etika & Kedisipllinan 10 %

- Tepat waktu

pengumpulan

tugas

- Mampu

menampilkan

perilaku yang

sopan selama

presentasi

- Menghargai

pertanyaan dari

mahasiswa lain

- Memberikan

salam dengan

mantap

- Tepat waktu

pengumpulan

tugas

- Mampu

menampilkan

perilaku yang

sopan

- Menghargai

pertanyaan dari

mahasiswa lain

- Perlu didorong

untuk

menyelesaikan

hingga

menampilkan

presntasi tugas.

- Cenderung cuek

terhadap

pertanyaan

ataupun

masukkan yang

diberikan

- Tidak siap saat

presentasi

- Mengabaikan

teman yang

bertanya

- Kurang

bertanggung jawab

mengenai

penugasan yang

diberikan.

-

Total Skor (Dibagi

/4)*100

Tugas-1b

Menentukan Ide Bisnis

Tujuan Tugas:

Menemukan ide bisnis yang akan secara bertahap dikembangkan dalam tugas technopreneur.

Berdasarkan hasil observasi (pengamatan lingkungan) dari problem yang ada di sekitarnya.

Uraian Tugas :

- Membuat gagasan tertulis mengenai ide bisnis yang dikembangkan. Berdasakan adanya pengamatan awal dari masalah

atau kebutuhan yang ada di lingkungan saat ini.

- Dalam laporan berisi: “what the problem”. “the solution”, dan “the benefits”.

- Sebutkan pula siapa yang akan menjadi calon konsumen dari ide bisnis yang akan ditentukan.

- Sebutkan siapa pihak yang menjadi kompetitor dan keunggulannya.

- Melakukan evaluasi kelayakan bisnis.


- Tugas dikerjakan bersama kelompok di presentasikan di minggu 4 dan 5.

- Pengambilan dapat dilakukan dengan bervariasi: data primer dan sekunder. Contoh: melalui teknik observasi, wawancara,

survei, data online, dsb.

- Laporan tertulis dikumpulkan dalam bentuk word minggu ke ke-4.

- Hasil dipresentasikan di depan kelas dengan PPT untuk masing-masing kelompok.

RUBRIK Tugas 1b Presentasi Ide Bisnis

Dimensi Sangat Baik Baik Cukup Kurang Ket

Portfolio MK - 23

KRITERIA 86-100 71-85 55-70 0-54 score Organisasi

5 %

- Mampu

menampilkan hasil

yang informatif

didukung data-

data penunjang.

- Kelengkapan

dalam menyajikan

segala bentuk

informasi yang

diperoleh dan

didukung

antusiasme dalam

penyajian.

- Adanya kolaborasi

ide yang

ditampilkan.

(adanya masukkan

dari anggota tim

yang berbeda

bidang keilmuan)

- Bentuk laporan

mengedepankan

adanya unsur

estetis, misalnya:

penggunaan warna

yang serasi yang

dapat

mempersuasi

pihak lain.

- Cukup mampu

menampilkan hasil

yang informatif

didukung data-data

penunjang.

- Adanya usaha

menyajikan

kelengkapan segala

bentuk informasi

yang diperoleh.

Dan disertai

antusiasme dalam

penyajian.

- Menujukkan

adanya usaha

kolaborasi ide yang

ditampilkan.

(adanya masukkan

dari anggota tim

yang berbeda

bidang keilmuan)

- Bentuk laporan

cukup

memperhatikan

unsur keserasian

sehingga mampu

mempersuasi pihak

lain.

- Kurang

memanfaatkan

adanya informasi

yang diperoleh.

Melalui pencarian

informasi

sebelumnya.

- kurangnya usaha

menyajikan

kelengkapan segala

bentuk informasi

yang diperoleh. Dan

tidak disertai

antusiasme dalam

penyajian.

- Kurang

menunjukkan

adanya kolaborasi

dan usaha untuk

menyinerginakan

bidang keilmuan

yang diperoleh.

- Bentuk laporan

cenderung

sederhana dan

kurang

memperhatian

unsur keserasian

sehingga kurang

mempersuasi

pihak lain.

- Upaya mencari

informasi terkesan

seadanya. Dan tidak

disertai antusiasme

dalam penyajian.

- Tidak memanfaatkan

adanya informasi

yang diperoleh.

Melalui pencarian

informasi

sebelumnya.

- Mengutamakan ide

perorangan dan tidak

menampung ide dari

bidang lain. Dan

menunjukkan

kurangnya kolaborasi

atau menyerahkan

pada seorang

anggota yang lain.

- Bentuk laporan

cenderung

sederhana dan

kurang

memperhatian unsur

keserasian sehingga

kurang mempersuasi

pihak lain.

Isi = 60%

1. Identifikasi/

latar belakang

ide bisnis &

solusi melalu

ide

(25%)

- Mampu

menyebutkan

adanya latar

belakang yng

konkrit dan

sistematis

disertai data

yang lengkap.

- Menjelaskan ide

secara konkrit

sebagai peluang

menyelesaikan

persoalan. Di

dukung dengan

pendengkatan

teori/ bidang

ilmu

- Mampu

menyebutkan

adanya latar

belakang yng

konkrit.

- Mampu

menyajikan ide

bisnis dengan

didukung

pengalaman

sesuai bidang.

- Latar belakang

ide bisnis kurang

mantap karena

kurangnya

dukungan

informasi atau

data yang sesuai.

- Kurang memiliki

relvansi dengan

bidang keilmuan

- Latar belakang ide

bisnis kurang Jelas

karena tidak

disertai data

penunjang.

- Ide bisnis

cenderung

monoton dari ide-

ide yang sudah

pernah ada

-

2. Analisis Pasar

(calon

konumen)

(15%)

- Mampu

menelusuri

cara-cara

mendapatkan

data, bisa

melalui survei.

- Mampu

meunjukkan

- Mampu

menelusuri

informasi

mengenai calon

pasar, hanya

belum

menunjukkkan

rencana yang

- Cenderung

kurang

menunjukkan

usaha

menelusuri calon

pasar . Ragu-

ragu dan

cenderung tidak

- Cenderung kurang

memanfaatkan

informasi yang

untuk menelusuri

calon pasar,

penentuan aspek

pasar menjadi tidak

-

Portfolio MK - 24

karakteristik

konsumen yang

sesuai dan

mencoba

melakukan

penggalian data

awal terhadap

konsumen.

jelas.

- Menunjukkan

calon pasar yang

dituju

konsisiten

menuntukan

pasar, karena

keinginan yang

besar dalam

membidik pasar.

menyakinkan.

3. Analisis

kompetitor

(10%)

- Mampu

menemukan

kompetitor

yang sesuai dan

menyebutkan

karakteritik

dengan lengkap

dengan ringkas

- Belum

menemukan

kompetitor yang

sesuai dan perlu

didorong untuk

menyebutkan

secara tepat dan

ringkas.

- Masih perlu

mempertegas

dimana dan

siapa pasar yang

paling sesuai.

- Sulit

menemukan

kompetitor.

Misal: karena

kurang usaha

mencari dengan

cara yang lebih

bervariasi.

- Tidak menemukan

kompetitor. Misal:

karena kurang

usaha mencari

dengan cara yang

lebih bervariasi.

Dan atau terlalu

cepat menganggap

ide orisinil.

-

-

4. SWOT

(10%)

- Mampu

memaparkan

analisa SWOT

dengan jelas

dengan

penjelasan yang

efektif.

- Mampu

memaparkan

analisa SWOT

dengan cukup

jelas dan mudah

dipahami.

- Analisa SWOT

cenderung

seadanya dan

kurang mampu

menemukan

aspek-aspek

yang

mempengaruhi

ide.

-

- Analisa SWOT

cenderung

seadanya dan

kurang mampu

menemukan aspek-

aspek yang

mempengaruhi ide.

-

Penampilan Presentasi

20 %

- Berbicara

dengan

semangat,

antusias, dan

persuasif

- Mampu

melibatkan

anggota lain

untuk berperan

aktif dalam

presentasi

- Mampu

berinteraksi

secara interaktif

dengan

mahasiswa lain

- Mampu

menanggapi

dengan tepat

dari pertanyaan

yang diajukan

kepada

kelompok

- Memberikan

salam dengan

percaya diri

- Berbicara

dengan tenang,

semangat

- Mampu berbagi

peran di

kelompok

- Mampu

berinteraksi

dengan tim

dalam

menjawab

pertanyaan dari

mahasiswa lain

- Kurangnya

usaha

mempersuasi

perserta lainnya

untuk melihat

presentasi

kel.nya

- Berpatokan pada

slide atau

laporan yang

dibuat

- Berbicara

dengan kurang

luwes

- Tidak

mengembang

kan materi yang

dipaparkan

- Gaya bicara cemas

dan terbata-bata

- Mencari dan

menggunakan

catatan dalam

presentasi dalam

keseluruhan

- Kurang

diperhatikan oleh

peserta mahasiswa

lainnya.

- Tidak menjalin

kontak mata

dengan tim

maupun peserta

lainnya

-

Portfolio MK - 25

Etika & Kedisipllinan

15 %

- Tepat waktu

pengumpulan

tugas

- Mampu

menampilkan

perilaku yang

sopan selama

presentasi

- Menghargai

pertanyaan dari

mahasiswa lain

-

- Tepat waktu

pengumpulan

tugas

- Mampu

menampilkan

perilaku yang

sopan

- Menghargai

pertanyaan dari

mahasiswa lain

- Perlu didorong

untuk

menyelesaikan

hingga

menampilkan

presntasi tugas.

- Cenderung cuek

terhadap

pertanyaan

ataupun

masukkan yang

diberikan

- Tidak siap saat

presentasi

- Mengabaikan

teman yang

bertanya

- Total Score - ………… - -

Pertemuan 3-5


Mampu beradaptasi dengan situasi yang tidak pasti dengan menyebutkan dan merumuskan desain

analisa kelayakan.

Uraian Tugas :

- Membuat suatu analisa kelayakan produk berdasarkan consept test yang bisa di sajikan dalam bentuk survey

- Dapat berupa form yang direkap hasil data secara kuantitatif maupun data kualitatif (berupa hasil wawancara.


- Analisa kelayakan produk di kerjakan secara berkelompok.

- Masing-masing anggota dapat memberikan masukkan untuk pertanyaan, kemudian dapat dikembangkan dan diintegrasi

satu sama lainnya.

- Disusun dalam bentuk form survei (masuk dalam lampiran tugas ide bisnis di minggu 4)

- Dikumpulkan format laporan (word)dan tidak di buat dalam PPT.

RUBRIK

Analisa kelayakan Produk Dimensi Sangat Baik Baik Cukup Kurang Ket. KRITERIA 86-100 71-85 55-70 0-54 Score

Organisasi

5%

- Mengunakan

tampilan form survei

yang menarik.

- Praktis dalam

pelaksanaan survei dan

menjangkau calon

pasar.

- Proses analisa

kelayakan dapat

dilakukan berdasarkan

kegiatan survei

- Menggunakan

format yang

berupaya untuk

menarik perhatian

- Hanya

menggunakan 1

metode pengambilan

data analisa

kelayakan.

- Menggunakan

format yang stadar

dan terkesan apa

adanya.

- Hanya

menggunakan 1

metode

pengambilan data

analisa kelayakan.

- Cenderung kurang

menampilkan

stuktur yang

sistematis dalam

pengambilan data

analisa kelayakan.

Format standar

dan tidak

menarik.

Portfolio MK - 26

ataupun lainnya.

- Mampu

menggunakan lebih

dari 1 cara.

Isi

Pengambilan data

analisa kelayakan

80 %

- Mampu menyusun

sejumlah

pertanyaan secara

sistematis yang

dalam menggali

harapan calon

konsumen.

(bentuk, ukuran,

desain, harga, dll)

- Mampu

menjelaskan

relevansi

pertanyaan dan

tujuan survei.

- Mampu

menampilkan

secara deskriptif

hasil pengambilan

data.

- Tampilan hasil

survei dikemas

secara menarik

- Pertanyaan yang

diajukan cukup

beragam.

- Hanya sejumlah

pertanyaan

kurang menggali

informasi lebih

(bentuk, ukuran,

desain, harga, dll)

- Tidak

menunjukkan

adanya relevansi

yang jelas.

- Uraian hasil

pengambilan

data terbatas.

- Pertanyaan yang

digunakan untuk

menggali

informasi calon

konsumen

cenderung belum

cukup terkait

informasi (bentuk,

ukuran, desain,

harga, dll).

- Tidak

menggunakan

langkah dalma

pengambilan data

analisa kelayakan

produk.

Etika &

Kedisipllinan

15 %

- Tepat waktu

pengumpulan tugas

- Mampu

menampilkan

perilaku yang

sopan selama

presentasi

- dengan mantap

- Tepat waktu

pengumpulan

tugas

- Mampu

menampilkan

perilaku yang

sopan

-

- Perlu didorong

untuk

menyelesaikan

tugas.

- Terlambat dalam

pengumpulan

tugas

Total ……………

Pertemuan 6-8


Mampu berinovasi dan berkreasi untuk menghasilkan rancangan bisnis berbasis teknologi yang

berorientasi pasar dengan memanfaatkan IPTEKS melalui model bisnis.

Tugas-BMC

Buatlah desain BMC sesuai dengan ide bisnis yang akan dikembangkan bersama kelompok anda!

Tujuan Tugas:

Portfolio MK - 27

Mendesain dan mengembangkan ide bisnis dengan menggunakan model bisnis BMC

Uraian Tugas :

- Membuat desain BMC secara berkelompok yang menyajikan informasi pada setiap elemennya

- Dapat dikerjakan dengan “tools design”dengan komputer atau secara gambar konsenvensional yang di pdf kan

- Penyajian dapat semenarik mungkin untuk mengguggah pihak lain

- Membuat desain perencanaan produk.


- BMC dikerjakan secara kelompok.

- Pembagian tugas tidak dapat diberikan secara parsial untuk masing-masing orang

- Membuat template BMC secara mandiri: dapat digambar konvesional lalu di foto atau langsung di desain dengan tool

tertentu. Misal (corel, photoshop, dsb).

- Mendesain prototyping produk dengan program tententu. Menampilkan Logo/ brand hingga packaging.

- Dipresentasikan dalam Power point di minggu 8.

RUBRIK Presentasi 2 BMC (Bisnis Model Canvas) & Prototyping Produk

Dimensi Sangat Baik Baik Cukup Kurang KRITERIA 86-100 71-85 55-70 0-54

Organisasi

10%

- Mengunakan

template BMC dengan

melakukan redesign secara menarik.

- Mampu menampilakn

bentuk BMC yang

kreatif.

- Mengedepankan

adanya unsur estetis,

misalnya: penggunaan

perpaduan warna dan

ikon secara visual yang

menarik.

- Menggunakan

Template BMC yang

berupaya untuk

melakukan redesign sehingga

menimbulkan

ketertarikan dari

pihak lain yang

melihatnya

-

- Menggunakan

template BMC yang

terstandart.

- Menggunakan

template BMC

dengan

tampilannya apa

adanya, kurang

adanya upaya

memberikan

kesan estetis

yang baik.

- Tidak

menggunakan

template BMC

(misal;

dijelaskan

dengan narasi

masing-masing

aspek)

Isi

BMC 50 %

- Mampu menyajikan

informasi yang

tepat pada setiap

elemen BMC

- Mampu

menjelaskan secara

komprehensif dan

mampu

menghubungkan

untuk setiap

elemen BMC

- Mampu

memberikan

prioritas utama

(pola) dalam

- Mampu

menjelaskan

setiap elemen

dalam BMC

- Mampu

menjelaskan

keterkaitan pada

elemen dalam

BMC.

- Mampu

menjelaskan

setiap elemen

dalam BMC

namun kurang

memahami

keterhubungan

pada masing-

masing elemen.

- Tidak mampu

menjelaskan

keterkaitan

pada setiap

elemen pada

BMC.

Portfolio MK - 28

mengembangkan

ide bisnis melalui

BMC

Penampilan

Presentasi

20 %

- Berbicara dengan

semangat, antusias,

dan persuasif

- Mampu

melibatkan anggota

lain untuk berperan

aktif dalam

presentasi

- Mampu

berinteraksi secara

interaktif dengan

mahasiswa lain

- Mampu

menanggapi

dengan tepat dari

pertanyaan yang

diajukan kepada

kelompok

- Inisiatif menyiapkan

presentasi dengan

atraktif.

- Berbicara dengan

tenang,

semangat

- Mampu berbagi

peran di

kelompok

- Mampu

berinteraksi

dengan tim

dalam menjawab

pertanyaan dari

mahasiswa lain

- Kurangnya usaha

mempersuasi

perserta lainnya

untuk melihat

presentasi

kelp.nya

- Berpatokan pada

slide atau laporan

yang dibuat

- Berbicara dengan

kurang luwes

- Tidak

mengembang

materi yang

dipaparkan

- Kurang

- Gaya bicara

cemas dan

terbata-bata

- Mencari dan

menggunakan

catatan dalam

presentasi

dalam

keseluruhan

- Kurang

diperhatikan

oleh peserta

mahasiswa

lainnya.

- Tidak menjalin

kontak mata

dengan tim

maupun peserta

lainnya

- Tidak inisiatif

menampilkan

presentasi yang

menarik.

Etika &

Kedisipllinan

20 %

- Tepat waktu

pengumpulan tugas

- Mampu

menampilkan

perilaku yang sopan

selama presentasi

- Menghargai

pertanyaan dari

mahasiswa lain

- Memberikan salam

dengan mantap

- Tepat waktu

pengumpulan

tugas

- Mampu

menampilkan

perilaku yang

sopan

- Menghargai

pertanyaan dari

mahasiswa lain

- Perlu didorong

untuk

menyelesaikan

hingga

menampilkan

presntasi tugas.

- Cenderung cuek

terhadap

pertanyaan

ataupun

masukkan yang

diberikan

- Tidak siap saat

presentasi

- Mengabaikan

teman yang

bertanya

Total Score ……………….

Pertemuan 9-12


Mengenali dan merumuskan model pemasaran melalui pendekatan strategi pemasaran berdasarkan

tahap-tahapnya yang diwujudkan dalam simulasi untuk dalam membangun rasa tanggung jawab tim

yang mengedepankan etika bisnis.

Tujuan Tugas:

Menampilkan prototype ide bisnis dan desain rencana pemasaran yang disajikan secara visual sehingga dapat dikenali produk

secara lebih menarik

Portfolio MK - 29

Uraian Tugas belajar mandiri:

- Membuat hasil ulasan singkat mengenai contoh proposal yang ditemui dalam berbagai kompetisi.


- Masing-masing kelompok perlu menyebutan kontribusi hasil penelusuran

- Ada komunikasi setelah pembagian tugas kepada masing-masing anggota ditunjukkan dengan logbook.

- Hasi berupan laporan dalam bentuk word dan tidak dipresentasikan

- Logbook dilaporkan di minggu ke-10

Rubrik kerja mandiri: 1 penelusuran contoh Bisnis Plan

Minggu 11

Contoh Kuis Marketing

1. Apakah marketing penting dalam bidang bisnis, sebutkan alasannya?

2. Sebutkan tujuan marketing dalam bisnis?

3. Bagaimana marketing dapat meningkatkan profit dalam bisnis?

4. Bagaimana memulai marketing dalam bisnis pemula?

Jawaban:

1. Menunjukkan tingkat pemahaman terhadap pentingnya marketing dalam bidang bisnis (nilai

max 25)

2. Menujukkan pengetahuan terhadap tujuan marketing dalam bidang bisnis. (Nilai max 25)

3. Menunjukkan pengetahuan dalam menjelaskan pengaruh marketing terhadap profit dalam

bisnis. (Nilai max 25).

4. Menunjukan pengetahuan dalam menyusun langkah marketing bagi pemula. (Nilai max 25)

Rubrik kerja mandiri 2: Marketing

Nama Hasil ulasan singkat Ket lain-lain. Mhs. 1 …… Mhs. 2 ……

Mhs3. ……

Dst

Aspek MARKETING STRATEGY Catatan Strategi Penyusunan startegi pemasaran melalui pendekatan analisa STP dan

Portfolio MK - 30

Minggu 12

Uraian Tugas :

- Rancangan Prototype yang ditampilkan tergantung jenis produknya. Misal dapat berupa: desain aplikasi, bentuk prototype

fisi (maket), dsb.


- Prototype dibuat berdasarkan hasil diskusi yang telah dilakukan bersama kelompok.

- Masing-masing kelompok perlu menyebutan kontribusi dalam penyusunan prototype.


- Dipresentasikan dengan Power point (PPT) di minggu 12.

RUBRIK PRESENTASI Prototype Produk

Nilai Total (rata-rata dari setiap aspek) = ………………….

Pertemuan 13


Pemasaran 4P/ 7 P

Aplikasi praktis

pemasaran

Menyusun langkah dalam melakukan aktivitas pemasaran dilakukan

berdasarkan obervasi pasar yang dilakukan secara sistematis.

Menggunakan pendekatan yang relevan dengan situasi terkini.

Sistematika

kegiatan

pemasaran

Menggunakan skala prioritas dalam melaksanakan startegi

pemasaran yang relevan. Terdapat alur yang dijelaskan secara

tertulis dalam penyusunan langkah kerja berupa time line

pelaksanaan.

Aspek INDIKATOR PENILAIAN 86-100

71-85

55-70

0-54

PROTOTYPE Tampilan

prototype

Tampilan prototype secara konkrit dan di dukung dengan

penggunaan teknologi (minima, adanya desain yang mendukung

produk dapat menarik perhatian investor)

Bagaimana prototype dapat disimulasikan

Kerjasama Tim Setiap anggota mampu menjelaskan kontribusi dalam pembuatan

prototype dan mampu menyebutkan keterbatasan pembuatannya.

Relevansi Ide

bisnis dgn

prototype

Prototype yang dibuat adalah aplikasi dari ide bisnis yang diusulkan

sebagai peluang yang menyelesaikan banyak persoalan di pasar.

Portfolio MK - 31

Mampu mengenali dan merumuskan aspek manajemen SDM berdasarkan tahap-tahapnya sebagai

bagian penting dalam mencapai bisnis yang reseliens yang diwujudkan dalam simulasi untuk dalam

membangun rasa tanggung jawab tim yang mengedepankan etika bisnis.

Tugas-observasi kerja Mandiri

Buatlah rancangan kebutuhan SDM sebagai bagian struktur organisasi yang akan dikembangkan,

dilengkapi:

• Portofolio diri yang menguraikan potensi untuk mendukung struktur SDM dalam organisasi

bisnis.

• Hal-hal yang dapat dikembangkan untuk mencapai potensi yang diinginkan.

Rubrik kerja mandiri :3 SDM

Pertemuan 14


Mampu mengenali dan merumuskan aspek operasi dan mampu menyusun rencana keuangan dan

melakukan perhitungan yang tepat dalam mengembangkan rencana bisnis yang dapat aplikasikan dalam

proposal bisnis.

Tugas-observasi kerja Mandiri

• Melakukan usaha penelusuran terhadap kegiatan operasi dan pengelolaan keuangan dalam

bidang usaha sejenis.

• Membuat rencana operasi dan keuangan dalam proses bisnis sesuai dengan ide produk yang

dikembangkan.

Rubrik kerja mandiri 4: Operasi dan keuangan

Aspek INDIKATOR PENILAIAN Deskripsi kualitatif Portofolio SDM

(Tim)

Potofolio disusun oleh seluruh anggota tim bisnis, yang didukung

oleh desain yang menarik dan kelengkapan aspek pendukung

pengembangan potensi masing-masing anggota. (Nilai Max 30)

Rencana

kebutuhan

Rencana kebutuhan SDM disusun sebagai bisnis pemula (jumlah

anggota dalam kelompok) dan dapat dikembangkan berdasarkan

jangka waktu tertentu bisnis akan dikembangkan. (Nilai max 35)

Rencana

pengembangan

Rencana pengembangan dapat dilakukan untuk menunjang

peningkatan skill yang dibutuhkan SDM. Dapat disusun training

dalam rangka pengembangan organisasi. (nilai max 35)

Kesimpulan :

Aspek INDIKATOR PENILAIAN Catatan

Portfolio MK - 32

Pertemuan 15-16


Menyusun proposal business plan yang menarik dan mampu mempersuasif pihak investor

Tugas Business Plan

Buatlah Bussiness plan atau proposal bisnis sesuai dengan ide bisnis yang telah anda kembangkan bersama kelompok!

Tujuan Tugas:

Menyusun Bussiness plan secara sistematis yang menarik perhatian investor.

Uraian Tugas :

- Membuat bussiness plan sesuai dengan sistematika bisnis plan .

- Rancangan bussiness plan dibuat berdasarkan hasil diskusi yang telah dilakukan bersama kelompok.


- Bussiness plan dibuat berdasarkan hasil diskusi yang telah dilakukan bersama kelompok.


- Dikumpulkan berupa laporan tertulis.

- Dipresentasikan dengan Power point (PPT) di minggu 15-16.

Aspek Operasi Rencana proses

operasi

Menyusun langkah dalam menunjang kegiatan proses operasi

Kerjasama Tim Usaha anggota tim bisnis menlakukan penelusuran dalam

pengembangan aspek operasi

Pengembangan

aspek operasi

Melakukan prediksi kebutuhan yang dapat dilakukan untuk

mendukung operasi yang lebih berkembang

Keuangan Rencana

kebutuhan

keuangan

Menyusun kebutuhan dan biaya yang dikeluarkan dalam

merumuskan ide bisnis.

Rencana sumber

modal

Menelusuri sumber modal dan menyusunnya untuk mendukung

kebutuhan dalam membangun ide bisnis

Perencanaan

pencatatan

keuangan

Menetapkan model pencatatan sesuai dengan contoh proposal

bisnis. Dan menyiapakn proses analisa keuangan dalam memantau

profit usaha.

Kesimpulan:

Portfolio MK - 33

RUBRIK Presentasi Bisnis plan

Dimensi Sangat Baik Baik Cukup Kurang Ket KRITERIA 86-100 71-85 55-70 0-54 score

Organisasi

Laporan

5 %

- Mengunakan format

porposal bisnis yang

sistematis.

- Menggunakan tata

bahasa yang baik dan

rapi dalam penyajian

beragam data

penunjang.

- Laporan

menunjukkan kesan

yang menarik dari

tampilannya.

- Mengedepankan

adanya unsur estetis,

misalnya: penggunaan

perpaduan warna dan

ikon secara visual yang

menarik.

- Didukung lampiran

yang memberikan

informasi penting

mengenai bisnis

- Mengunakan

format proposal yang

disarankan namun

kurang mampu

menyakikan secara

sistematis.

- Laporan cenderung

belum menunjukkan

kesan menarik dari

sisi tampilan.

-Menggunakan

format proposal

yang apa adanya.

- Kurang

menujukkan kesan

menarik dari sisi

tampilan.

- Tidak menunjukkan

penggunaan format

yang baik.

- Tidak menunjukkan

kesan menarik dan

rapi dari sisi

penulisan.

- Tidak didukung

lampiran yang

memberikan

informasi mengenai

bisnis

Isi

55 %

5. Identifikasi/

latar belakang

ide bisnis &

resiko (20%)

- Mampu

menyebutkan adanya

latar belakang yang

konkrit dan

sistematis disertai

data yang lengkap.

- Mampu menentukan

resiko bisnis

diperoleh dari hasil

analisa secara

lengkap.

- Menggunakan data-

data yang informatif

- Mampu

menyebutkan

adanya latar

belakang yang

konkrit.

- Mampu

menentukan

resiko bisnis

diperoleh dari

hasil analisa

hanya belum

merorientasi

pada produk

yang dimiliki.


bisnis kurang

mantap karena

kurangnya

dukungan

informasi atau

data yang sesuai.

- Kurang

menunjukkan

adanya proses

analisa resiko

bisnis.


bisnis kurang Jelas

karena tidak

disertai data

penunjang.

- Ide bisnis

cenderung

monoton dari ide

yang pernah ada di

antara mahasiswa

ITS.

- Tidak menggunakan

analisa resiko

dalam menentukan

resiko bisnis yang

ada.

6. Marketing

dan operasi

bisnis (15%)

- Mampu

menyajikan

tahapan yang

sistematis dalam

kegiatan operasi

dan marketing

yang dirancang.

Berdasarkan 4P

dan marketing mix.

- Mampu

menyebutkan

rancangan

kegiatan operasi

dan marketing

tanpa tahapan

yang sistematis.

- Kurang mampu

merancang

kegiatan operasi

dan marketing

berdasarkan 4 P

dan marketing

mix.

- Tidak mampu

memberikan

rancangan

operasi dan

kegiatan

marketing

melalui 4_ dan

marketing mix.

-

7. Aspek Manj.

SDM (10 %)

- Mampu mendesain

kebutuhan SDM

secara efektif dan

dapat

- Mampu

menyebutkan

kebutuhan

namun kurang

- Cenderung kurang

mampu membuat

perencanaan SDM

yang relaistis.

- Tidak

menampilkan

penyusunan

rencana

Portfolio MK - 34

diimplementasikan.

- Mampu

menyajikan

keunikan masing-

masing tim melalui

portofolio.

- Mampu

merencakan

pengembangan

SDM (misal melalui

training)

- Mampu

merencakan

kebutuhan

berdasarkan

estimasi waktu

pengembangan.

didukung desain

yang konkrit.

- Potofolio dibuat

secara seragam,

dan kurang

memberikan

kesempatan

masing-masing

anggota

mengksplorasi

potensi.

- Cenderung

mengikuti pola

umum, tidak

memiliki kekhasan

organisasi yang

dimiliki.

kebutuhan.

- Tidak ada

ketertarikan

penyajian potensi

masing-masing

tim bisnis.

8. Keuangan dan

modal (10%)

- Mampu memarkan

kebutuhan modal

yang jelas,

mendetail, dan

realistis.

- Mampu

menentukan

sumber modal

yang cocok untuk

ide bisnisnya.

- Mampu membuat

rencana keuangan,

arus kas, BEP.

- Mampu

menunjukkan arus

kas yang

menunjang ke

bisnisnya untuk

terus berkembang.

- Kebutuhan

modal kurang

terinci dengan

jelas.

- Mampu

menentukan

sumber modal

sesuai dengan

skala bisnisnya.

- Keuangan

dipaparkan

dengan cukup

jelas dengan arus

kas dan mampu

menentukan

BEP.

- Kebutuhan

modal tidak

dijelaskan

sesuai dengan

ide bisnis yang

dikembangkan.

- Keuangan

kurang

dijelaskan

dalam arus kas

dan penentuan

BEP tidak

dipaparkan

dengan jelas.

- Kebutuhan modal

tidak dijelaskan.

- Proyeksi

keuangan tidak

diterjemahkan

dalam arus kas.

Dan tidak

mencari BEP

dalam rencana

bisnisnya.

Penampilan

Presentasi

20 %

Berbicara dengan

semangat,

antusias, dan

persuasif

- Mampu

melibatkan

anggota lain untuk

berperan aktif

dalam presentasi

- Mampu

berinteraksi secara

interaktif dengan

mahasiswa lain

- Mampu

menanggapi

dengan tepat dari

pertanyaan yang

diajukan kepada

kelompok

- Berbicara dengan

tenang, semangat

- Mampu berbagi

peran di kelompok

- Mampu berinteraksi

dengan tim dalam

menjawab

pertanyaan dari

mahasiswa lain

- Kurangnya usaha

mempersuasi

perserta lainnya

untuk melihat

presentasi kel.nya

- Berpatokan pada

slide atau laporan

yang dibuat

- Berbicara dengan

kurang luwes

- Tidak

mengembang

materi yang

dipaparkan

- Kurang

- Gaya bicara

cemas dan

terbata-bata

- Mencari dan

menggunakan

catatan dalam

presentasi dalam

keseluruhan

- Kurang

diperhatikan oleh

peserta

mahasiswa

lainnya.

- Tidak menjalin

kontak mata

dengan tim

maupun peserta

lainnya

Etika &

Kedisipllinan

- Tepat waktu

pengumpulan

- Tepat waktu

pengumpulan

- Perlu didorong

untuk

- Tidak siap saat

presentasi

Portfolio MK - 35

20 % tugas

- Mampu

menampilkan

perilaku yang

sopan selama

presentasi

- Menghargai

pertanyaan dari

mahasiswa lain

- Memberikan salam

dengan mantap

tugas

- Mampu

menampilkan

perilaku yang

sopan

- Menghargai

pertanyaan dari

mahasiswa lain

menyelesaikan

hingga

menampilkan

presntasi tugas.

- Cenderung cuek

terhadap

pertanyaan

ataupun

masukkan yang

diberikan

- Mengabaikan

teman yang

bertanya

Total Score ………..