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: putrisuardani94@gmail.com

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

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(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.

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