E-ISSN: 2579-5988, P-ISSN: 2579-597X
INTERNATIONAL JOURNAL OF ENGINEERING AND
EMERGING TECHNOLOGY
This journal is the biannual official publication of the Doctorate Program of
Engineering Science, Faculty of Engineering, Udayana University. The journal
is open to submission from scholars and experts in the wide areas of
engineering, such as civil and construction, mechanical, architecture, electrical,
electronic, and computer engineering, and information technology as well. The
scope of these areas may encompass: (1) theory, methodology, practice, and
applications; (2) analysis, design, development and evaluation; and (3) scientific
and technical support to establishment of technical standards.
E-ISSN: 2579-5988, P-ISSN: 2579-597X
INTERNATIONAL JOURNAL OF ENGINEERING AND EMERGING TECHNOLOGY
Head of AdvisoryDean of Faculty of Engineering
Advisory BoardProf Ir. I Nyoman Arya Thanaya, ME, PhD.
Prof. Ir. I Wayan Surata, M.Erg.Prof. Ir. I Nyoman Suprapta Winaya, M.A.Sc., PhD.
Dr. Ir. Ida Bagus Alit Swamardika, M.Erg
Editor-in-ChiefDr. Ir. Made Sudarma, M.A.Sc.
Managing EditorKomang Oka Saputra, ST., MT., PhD.
Editorial BoardDr. I Nyoman Putra Sastra, ST., MT.
Dr. I B Manuaba, ST,. MTDr. Ngakan Ketut Acwin Dwijendra ST., MSc.DM Priyantha Wedagama, ST, MT, MSc, PhD
Dr. Ir. I Made Adhika, MSP
ReviewersProf. Dr. Leming Chen (China)
Prof. Dr. Animesh Dutta (Bangladesh)Prof. Dr. Bale Reddy (Canada)Prof. Dr. Kunio Kondo (Japan)
Dr. Eunice Sari (Australia)Prof. Dr. I Ketut Gede Darma Putra, S.Kom., MT. (Indonesia)
Dr.Eng Bayupati, ST., MT. (Indonesia) Prof. Ir. I.A. Dwi Giriantari, MEngSc., PhD. (Indonesia)
Ir. Linawati, MEngSc., PhD. (Indonesia)Prof.Dr. Ir. I Wayan Surata, M.Erg. (Indonesia)
Ainul Ghurri, ST., MT., PhD. (Indonesia) Prof. Ir. I Nyoman Arya Thanaya, ME., PhD. (Indonesia)
D.M. Priyantha Wedagama, ST., MT., MSc., PhD. (Indonesia) Dr. Ngakan Ketut Acwin Dwijendra. ST., MA. (Indonesia)Dr. Gusti Ayu Made Suartika, ST., MEngSc. (Indonesia)
International Journal of
ENGINEERING AND EMERGING TECHNOLOGY
A publication of the Doctorate Program of Engineering Science Udayana University
JULY--DECEMBER 2017 VOLUME 2 NUMBER 2 (P-ISSN 2579-5988, E-ISSN: 2579-597X)
Stemming Algorithm for Indonesian Digital News Text Processing
PM Prihatini, IKG Darma Putra, IAD Giriantari, and M Sudarma ................................................1—7
Characteristics of Tabah Bamboo Activated Carbon Produced by Physical and Chemical Activations
D N K Putra Negara1, T G Tirta Nindhia, I Wayan Surata, and Made Sucipta ............................8—11
Experimental Study on the Use of Ejector with Two-Evaporator Temperatures Applied forPerformance Enhancement of Split Type AC System
Made Ery Arsana, I Gusti Bagus Wijaya Kusuma, Made Sucipta, and I Nyoman Suamir...........12—16
Characterization Physical, Mechanical, Thermal and Morphological Properties of Colophony
CIPK Kencanawati1, NPG Suardana, IKG Sugita, and IWB Suyasa...........................................17—19
A Placement and Sizing of Distributed Generation Based on Combines Sensitivity Factor and Particle Swarm Optimization: A Case Study in Bali’s Power Transmission Networks
Ngakan Putu Satriya Utama, Rukmi Sari Hartati, Wayan G. Ariastina, and Ida Bagus Alit Swamardika...................................................................................................................................20—25
Design and Analysis of Mail Management Information System using PIECES Method: A Case Study at Faculty of Mathematics and Natural Sciences of Udayana University
Made Pasek Agus Ariawan, Putu Bagus Indra Sukadiana Putra, and Putu Arya Mertasana .....26—30
Lecture Attendance Monitoring System Using Face Detection with Microcontroller
Zulfachmi1, Aggry Saputra, and Komang Oka Saputra ...............................................................31—36
Security Management Analysis of Security Services Using Framework COBIT 5 Domain DSS05(Case Study: Document publishing service for Indonesians at Immigration Office Denpasar)
Agus Anwar, Dewa Ayu, and Ni Wayan Sri Aryani ......................................................................37—40
Audit E-Signature Public Service Project Using Knowledge Quality Management
Gde Brahupadhya Subiksa, Kadek Ary Budi Permana, and Made Sudarma ...............................41—46
Design Data Warehouse for Centralized Medical Record
Kadek Ary Budi Permana, Gde Brahupadhya Subiksa, and Made Sudarma ...............................47—51
Analysis of Enterprise Architecture Design Using TOGAF Framework: A Case Study at ArchivalUnit of Faculty of Agricultural Technology of Udayana University
Made Pasek Agus Ariawan, Putu Bagus Indra Sukadiana Putra, and I Made Sudarma .............52—57
Analysis and Design Decision Support System of New English Teacher by Using Analytical Hierarchy Process (AHP) in EF English First Bali
Luh Gede Putri Suardani, I Made Adi Bhaskara, and Komang Oka Saputra ..............................58—61
Decision Support System Terms of Credit Loans using Analytical Hierarchy Process Method (AHP)(Study Case: LPD Temesi Village)
Dewa Ayu, Agus Anwar, and I Wayan Rinas ................................................................................62—65
Design of Vehicle Asset Management Information System (Case Study: STMIK STIKOM Bali)
Dwi Ardiada, Merta Suryani, and Ni Wayan Sri Aryani ..............................................................66—71
Evaluation of Internal Control System Using COSO Framework (Case Study: Koperasi Nirwana Arta Mandiri)
Aggry Saputra, Zulfachmi, and Yanu Prapto Sudarmojo .............................................................72—76
Data and Information Security Audit Using IT Baseline Protection Manual at PT. XYZ
I Made Adi Bhaskara, Luh Gede Putri Suardani, and Wayan Arta Wijaya .................................77—81
Audit IT Division in Maintenance Process Internal System PT Jamkrida Bali Mandara WithFramework Software Maintenance Maturity Model (SMMM)
Made Dinda Pradnya Pramita, I Made Dhanan Pradipta, and I Made Sudarma .......................82—89
Audit of Governance Information Technology Services Using ITIL v3 Focuses on Service OperationDomain in Institution X
Ni Putu Sri Merta Suryani, I Made Dwi Ardiada, and I Gusti Ngurah Janardana ......................90—94
System Decision of Natural Disaster Logistics (Case Study of Mount Agung Eruption)
I Made Dhanan Pradipta, Made Dinda Pradnya Paramita, and I Gusti Ngurah Janardana ...95—102
International Journal of Engineering and Emerging Technology, Vol. 2, No. 2, July—December 2017
(p-issn: 2579-5988, e-issn: 2579-597X)
58
Analysis and Design Decision Support System of
New English Teacher by Using Analytical Hierarchy
Process (AHP) in EF English First Bali
Luh Gede Putri Suardani[1], I Made Adi Bhaskara[2], Komang Oka Saputra[3] [1][2] Master’s Program of Electrical Engineering, Faculty of Engineering, Udayana University
[3] Study Program of Electrical Engineering, Faculty of Engineering, Udayana University
Email: [email protected]
Abstract—The purpose of this study is to develop a decision
support system to decide the best new English Teacher. The
methods used are method of analysis, design method, and
literature study. The learning method that is done is to survey the
running company system, conduct interview with HRD, and
analysis the survey. In literature study conducted by looking for
references sources related to the research undertaken. The design
is data management subsystem, knowledge base model and user
interface. The results achieved are the creation of an application
decision support system that can be used to select the most
appropriate English teacher and in accordance with the criteria
required. This system helps support the decision-making process
for new English teacher.
Keywords—system, decision, analytical hierarchy process (AHP)
I. INTRODUCTION
English First Education is a private English education
institution founded by Bertil Hult in Sweden in 1965. It has
branches in 51 countries including Indonesia. One of the
branches located in Bali is Englishtown, an online English
language school that offers English learning service system
through internet (E-learning) for adult age. As part of EF
Education First, Englishtown has assisted more than 1.200
companies and has approximately 15 million users.
To become a new English teacher in Englishtown as an
international company, certainly has the criteria that must be
achieved. During this time the HRD team at Englishtown Bali
only use candidate tracking system by using workable website
(http://www.workable.com/) and selecting new English teacher
manually. It is certainly time-consuming to select new
employee.
Given the recruitment process for the company is very
important to support the company’s success in achieving the
goal, it is necessary a decision support system that is able to
select new and competent qualified educators.
The method used in the recruitment support system is the
Analytical Hierarchy Process (AHP). The AHP method is
chosen because the AHP method is a decision support model
model where the main equipment is a functional hierarchy with
the main input being human perception.
II. LITERATURE REVIEW
A. Analytical Hierarchy Process (AHP)
AHP is a functional hierarchy with the main input of human
perception. With hierarchy, a complex and unstructured
problem solved into groups is organized into a hierarchical
form. The AHP model uses human perceptions that are
considered experts as the main input. Expert criterion here does
not mean that the person must be genius, smart, hold a doctorate
and so on but rather refers to people who understand the true
problems raised feel the consequences of a problem or have an
interest in the problem. (Suryadi, 1988)
B. Basic Principles of Analytical Hierarchy Process
In solving the problems with AHP there are several
principles that must be understood, among them are as follows:
● Decomposition (making hierarchy), Complex systems
can be understood by separating them into smaller,
easier-to-understand elements.
● Comparative judgment (criteria and alternative
assessment). Criteria and alternatives are done by
pairwise comparisons. According to Saaty (1988), for
various issues, the scale 1 to 9 is the best scale for
expressing opinions. The value and definition of
qualitative opinion and the comparison scale of Saaty
can be calculated using the analytical table 1 below.
TABLE I. FUNDAMENTAL SCALE
Intensity of
Importance Note
1 Both elements are equally important
3 One element is slightly more important than the other
5 One element is more important than the other
7 One element is clearly more absolutely essential than other
elements
9 One element is absolutely essential from other elements
2,4,6,8 Values between two values of adjacent considerations
● Synthesis of priority, determining the priority of the
criterion elements can be viewed as the weight /
contribution of that element to the purpose of decision
making. AHP performs elemental priority analysis with
International Journal of Engineering and Emerging Technology, Vol. 2, No. 2, July—December 2017
(p-issn: 2579-5988, e-issn: 2579-597X)
59
a pairwise coupling method between two elements so
that all elements are included. This priority is
determined based on the views of experts and
stakeholders on decision making, either directly (in
discussion) or indirectly (questionnaire).
● Logical Consistency (consistency logical), Consistency
has two meanings. First, similar objects can be grouped
according to uniformity and relevance. Second, it
concerns the level of relationship between objects
based on certain criteria. (Kosasi, Sandy.2002)
C. Analytical Hierarchy Process Procedure
In general the steps to be taken in using AHP for solving a
problem are as follows:
1) Define the problem and determine the desired solution,
then compile the hierarchy of problems encountered.
2) Define the priority of the element
a) The first step in defining the priority of the elements is
to make a pair comparison, ie comparing the elements in pairs
according to given criteria
b) A pairwise comparison matrix is filled with numbers
to represent the relative importance of an element against other
elements.
3) Synthesis
Considerations for paired comparisons are synthesized
to obtain overall priority. The things done in this step are:
a) Sums up the values of each column in the matrix
b) Divide each value of the column by the corresponding
column total to obtain the normalization of the matrix
c) Sums up the values of each row and divides it by the
number of elements to get the average value.
4) Measuring Consistency
In making decisions, it is important to know how good
the consistency is because we do not want decisions based on
consideration with low consistency. The things done in this
ledge are:
a) Multiply each value in the first column with the
relative priority of the first element, the value in the second
column with the relative priority of the second element, and so
on.
b) Amount each row
c) The result of the sum of rows divided by the relevant
relative priority element
d) Sum it up with the number of elements available, the
result is called max.
5) Calculate Consistency Index (CI) with the formula:
𝐶𝐼 = (𝜆 𝑚𝑎𝑘𝑠 − 𝑛)/𝑛where n = number of elements
6) Calculate Consistency Ratio by the formula: 𝐶𝐼 = 𝐶𝐼/𝐼𝑅 where CI = Consistency Index, CR = Consistency Ratio
and IR = Indeks Random Consistency
7) Check the consistency of the hierarchy. If the value is
more than 10%, then the judgment data assessment should be
improved. However, if the Consistency Ratio (CI / CR) is less
than or equal to 0.1, then the calculation result can be stated
correctly. (Kusrini, 2007)
D. General Terms
The general requirements for the acceptance of a new
educator in English First Bali according to the HRD team are:
1) Applicants are American, British, Canadian, Australian,
New Zealand, Ireland
2) Willing to work in Bali
3) Aged 25 - 50 years
4) Have a TEFL (Teaching English as a Foreign Language)
certificate with a minimum score of 40
5) Has a Bachelor's degree diploma from any department
III. ANALYSIS AND DESIGN
A. Current System Process Flow
The current process flow is as follows.
1) Applicants look at vacancies on vacancy website
2) Applicants make the process of applying online through
workable links on the website (required: first name, last name,
address, photo, resume, question list)
3) The HRD team sees candidate data on the workable, if
the candidate meets the requirements, the candidate will
conduct the interview process by emailing the candidate,
otherwise the candidate will be rejected in the email manner.
4) If successful applicants conduct interviews, the
recruitment moves the applicant step from step interview to step
accepted in the system, then emails the applicant that the
applicant is accepted or rejected.
B. Pieces Analysis
The analysis of pieces of this problem is as follows.
TABLE II. PIECES ANALYSIS
Indicator Analysis Result
Performance
The system is able to complete the process of teacher
acceptance selection quickly in accordance with the target set by the company
Information Users get information about applicant data accurately and
relevant as expected
Economy Reduce expenses in terms of paid fees charged every month
Control Security of the system either because to access the user or
admin view must go through the stage of authentication first
Efficiency The system is designed to have features that allow users to perform the recruitment process with a user friendly display
Service The system is expected to improve the better service in the
process of recruiting teacher recruitment process
International Journal of Engineering and Emerging Technology, Vol. 2, No. 2, July—December 2017
(p-issn: 2579-5988, e-issn: 2579-597X)
60
C. Expected Process Flow
Fig 1. Flowchart System
The expected process flow is started from the login HRD
(admin side) and admin can choose Criteria menu or Candidate
menu. In the Criteria menu, admins enter existing criteria and
include pair comparisons. After that, admins can enter
candidate data. And do the candidate process. The expected end
result is a candidate table of candidates.
D. Designing User Interface
Here is the design of the system user interface. Figure Fig
2. is a comparative analysis of criteria that have been entered
and already through the process of AHP method.
Fig 2. Display Result of Criteria Weighted
Analysis
IV. RESULT
The candidate criteria already mentioned in II.D will be
given weighting by Analytical Hierarchy Process method as
below.
1) Define the problem and determine the desired solution,
then compile the hierarchy of problems encountered.
The criteria mentioned in section II are 5, namely:
K1: Nationality of Applicants
K2: Availability of work in Bali
K3: Age
K4: TEFL Certificate
K5: Bachelor’s Degree
The problem is determining which criteria are the most
important of the criteria already mentioned. Here is a hierarchy
of the purpose of the process of recruitment of new educators
who serve as the basis of the criteria that must be included in
the decision support system, and can be seen in the following
figure.
Fig 3. Hierarchy Purpose of New Teacher
Receiving Process
2) Define the priority of the element
After the preparation of the process goal hierarchy, then the
next step is to do a comparison matrix Here is the comparison
matrix for each of the criteria. Then each column is summed to
calculate normalization at a later stage.
TABLE III. COMPARATIVE MATRIX
K1 K2 K3 K4 K5
K1 1.00 0.33 3.00 3.00 3.00
K2 3.00 1.00 3.00 3.00 3.00
K3 0.33 0.33 1.00 3.00 3.00
K4 0.33 0.33 0.33 1.00 2.00
K5 0.33 0.33 0.33 0.50 1.00
Sum 4.99 2.32 7.66 10.50 12.00
3) Determining the Priority Weight Scale
After obtaining the comparison matrix table, next is to
normalize by dividing each value of the column by the total of
the corresponding columns. Then add up the values of each row
and divide by the number of elements to get the priority vector.
TABLE IV. NORMALIZATION AND PRIORITY
K1 K2 K3 K4 K5 SU
M
PRIORIT
Y
VECTOR
K1 0.20 0.14 0.39 0.29 0.25 1.27 0.25
K2 0.60 0.43 0.39 0.29 0.25 1.96 0.39
K3 0.07 0.14 0.13 0.29 0.25 0.87 0.17
K4 0.07 0.14 0.04 0.10 0.17 0.51 0.10
International Journal of Engineering and Emerging Technology, Vol. 2, No. 2, July—December 2017
(p-issn: 2579-5988, e-issn: 2579-597X)
61
K5 0.07 0.14 0.04 0.05 0.08 0.38 0.08
Sum 1 1 1 1 1 5.00
4) Measuring Consistency
Then the calculation is continued by multiplying each value
in the first column with the relative priority of the first element,
the value of the second element with the relative priority of the
second element, and so on. Then number each line. The result
of the sum of rows divided by the relevant relative priority
element. Sum up the above by the number of elements that the
result is called I max.
TABLE V. COMPARISON OF TIMES AND VECTOR PRIORITIES
K1 K2 K3 K4 K5 PV Time
s
HK/PV
K1 1.00 0.33 3.00 3.00 3.00 0.25 1.45 5.69
K2 3.00 1.00 3.00 3.00 3.00 0.39 2.22 5.66
K3 0.33 0.33 1.00 3.00 3.00 0.17 0.93 5.29
K4 0.33 0.33 0.33 1.00 2.00 0.10 0.53 5.13
K5 0.33 0.33 0.33 0.50 1.00 0.08 0.40 5.22
Then calculate CI, RI and CR with the formula in chapter
II.C
TABLE VI. CONSISTENCY TABLE
λ CI RI CR
5.397729618 0.099432 1.188 0.083697
Because CR Criteria is less than 0.1 then the value of
comparison is considered consistent. From the results of vector
priority obtained then the main conclusion is the aspect of K2
is the availability of work in bali. The availability of work in
Bali is a priority priority vector 0.39, followed by Nationality
of applicants with a priority vector of 0.25. Then the third rank
is Age with priority vector 0.17, next is TEFL Certificate and
the last is diploma.
V. CONCLUSION
From the results of the Analysis and Design of Decision
Support System of New Educators with AHP Method on EF
Bali, has successfully developed a SPK that helps support the
decision making process for the selection of the best educators
from the list of candidates. By utilizing this system, it is hoped
that the process of recruitment of new educators will be easier
and more objective. Besides, the output of this system produces
the right educator rank according to the criteria set.
REFERENCES
[1] Arvita, Y. Analysis and Design of Decision Support System
Determination of Loans at Bank XYZ in Media Sisfo Vol.11,
No.1, pp. 787-804, April 2017
[2] Hermawan, J. Building a Decision Support System. Yogyakarta:
Andi. 2005
[3] Kartawiguna, D. Adityo P., Y., Sutiono M., and Roesly, H.
Analysis and Design of Decision Support System Selection of
Suppliers Best Supplier Available with Analytical Hierarchy
Process (AHP) Method: Case Study of Power Division PT Guna
Elektro in ComTech Vol. 3 No 2, pp. 774-787, December 2012
[4] Manurung, P. Decision Support System of Scholarship Selection
Selection with AHP and Topsis Method (Case Study: FMIPA
USU). Medan: University of North Sumatra.
[5] Maricar, M. A., Wahyudin, W. and Sudarma, M. Decision
Support System of the Employees Acceptance using Analytical
Hierarchy Process (AHP) and Multi Factor Evaluation Process
(MFEP) in International Journal of Engineering and Emerging
Technology Vol.1 No. 1, pp.48-54, July 2016
[6] Saaty, T. L. 2008. Decision Making with the Analytic Hierarchy
Process. Int. J. Services Sciences, 1(1): 83-98
[7] Sri Hartati and Adi Nugroho. Decision Support System Based on
AHP for Determination of Land Use Adaptation (Case Study:
Semarang Regency) Jurnal Informatika, July 2012; Vol. 6 No. 2:
p. 630-641
[8] Suaryadi, Kadarsah and Ramadani, M. A. 2002. Decision Support
System: A Structural Idealization and Implementation Discourse.
Bandung. Youth Rosdakarya
[9] Thomas, S. L. and Luis, Vargas G. “Models, Methods, Concepts
& Applications of The Analytic Hierarchy Process,”.
International Series in Operations Research & Management
Science. Second Edition. 2012.
[10] Turban, Efraim dan Aronson, J.E. 2004. Decision Support
Systems and Intelligent Systems (11 ed). Yogyakarta: Andi
Publisher