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PROCEEDING

The 2

nd

International Conference on

Electrical Engineering, Computer Science and Informatics (EECSI 2015)

Copyright and Reprint Permission: Abstracting is permitted with credit to the source.

Libraries are permitted to photocopy beyond the limit of copyright law.

Copyright ©2015 by IAES.

Editors :

DR. Deris Stiawan

Pacu Putra, B.CS., M.Comp. Sc.

Munawar A.Riyadi, Ph.D

Imam Much. Ibnu Subroto, Ph.D

Publisher :

Universitas Sriwijaya Press (UNSRI PRESS)

In collaboration with

Institute Advanced and Engineering and Science (IAES)

ISBN : 979-587-553-1 (PRINT)

ISBN : 979-587-554-X (CD-ROM)

Additional copies may be ordered to:

Griya Ngoto Asri D2, Bangun harjo, Sewon Bantul 55187, Yogyakarta

(3)

vi

ORGANIZING COMMITTEE OF EECSI 2015 CONFERENCE

Steering Committee

Adam Skorek, IEEE Fellow, University of Quebec at Trois-Rivières, QC, Canada

Mohd.Ruddin Abd Ghani, Universiti Teknologi Malaka, Malaysia

Ary Setijadi Prihatmanto, IEEE Indonesia Chapter Chair (Computer Society)

Fitri Yuli Zulkifli, IEEE Indonesia Section (Technical Activity)

John E. Batubara, IEEE Indonesia Section (Conference Coordination)

Pekik Argo Dahono, IEEE Indonesia Chapters Chair (EdSoc/EDS/PELS/SPS)

Soegijardjo Soegijoko, IEEE Indonesia Chapters Chair (CAS/EMBS)

Wahidin Wahab, IEEE Indonesia Section (Advisory Committee)

Zainudin Nawawi, IEEE Indonesia Section (Advisory Committee)

Badia Perizade, Universitas Sriwijaya, Palembang, Indonesia

Anis Saggaff, Universitas Sriwijaya, Palembang, Indonesia

Darmawijoyo, Universitas Sriwijaya, Palembang, Indonesia

Siti Nurmaini, Universitas Sriwijaya, Palembang, Indonesia

Hermawan, Universitas Diponegoro, Semarang, Indonesia

Ida Ayu Dwi Giriantari, Universitas Udayana, Bali, Indonesia

Rahmat Budiarto, Surya University, Indonesia

Tumiran, Universitas Gadjah Mada, Yogyakarta, Indonesia

General Chair

Deris Stiawan, Universitas Sriwijaya,

Indonesia

General Co-Chair

Tole Sutikno, Universitas Ahmad Dahlan,

Indonesia

Finance Chair and Treasurer

Wiwiek Fatmawati, Universitas Islam

Sultan Agung, Indonesia

Lina Handayani, Universitas Ahmad

Dahlan, Indonesia

Publication Chair

Mochammad Facta, Universitas,

Diponegoro, Indonesia

Publicity Chair

Imam Much Ibnu Subroto, Universitas

Islam Sultan Agung, Semarang,

Indonesia

Balza Achmad, Universitas Gadjah

Mada, Yogyakarta, Indonesia

Technical Program Chairs

Munawar A. Riyadi, Universitas

Diponegoro, Indonesia

Mudrik Alaydrus (Senior Member of

IEEE), Universitas Mercu Buana Jakarta,

Indonesia

Teddy Mantoro (Senior Member of IEEE),

Universitas Siswa Bangsa Internasional,

Jakarta, Indonesia

Local Arrangement Committee

Hadi Purnawan Satria, Universitas

Sriwijaya, Palembang, Indonesia

Ahmad Heriyanto, Universitas Sriwijaya,

Palembang, Indonesia

Pacu Putra, Universitas Sriwijaya,

Palembang, Indonesia

Angina Primanita, Universitas Sriwijaya,

Palembang, Indonesia

Technical Program Members

Ali Kattan, Ishik University, Iraq

Adya Pramudita, UnikaAtma Jaya,

Indonesia

Angela Amphawan, Universiti Utara

Malaysia, Malaysia

Arianna Mencattini, University of Rome

“Tor Vergata”, Italy

(4)

vii

International Advisory Committee

Lech M. Grzesiak, Warsaw University of

Technology, Poland

Leo P. Ligthart, Delft University of

Technology, Netherlands

Hamid A. Toliyat, Texas A&M

University, USA

Patricia Melin, Tijuana Institute of

Technology, Mexico

Tae Jin Park, Samsung Heavy

Industries, Korea

Abdul Hanan Abdullah, Universiti

Teknologi Malaysia, Malaysia

Ahmad Ashari, Universitas Gadjah

Mada, Yogyakarta, Indonesia

AtifIqbal, Qatar University, Qatar

Cheng-Wu Chen, National Kaohsiung

Marine University, Taiwan

Dimitrios Lekkas, University of the

Aegean, Greece

Djamel H Sadok, Federal University of

Pernambuco, Brazil

Frédéric Cuppens, Sciences Sociales et

de l’Information, France

Jefri bin Din, Universiti Teknologi

Malaysia

Jaime Lloret Mauri, Polytechnic

University of Valencia, Spain

Juan Jose Martinez Castillo, “Gran

Mariscalde

Ayacucho” University,

Venezuela

Lei Zhang, East China Normal

University, China

Muhammad Nadzir Marsono, Universiti

Teknologi Malaysia

Nabil Sultan, University Campus

Suffolk, United Kingdom

Qiang Li, Bielefeld University, Germany

Sotirios G. Ziavras, University Heights,

United States

Surinder Singh, Sant Longowal Inst of

Eng& Tech, India

Takashi Obi, Tokyo Institute of

Technology, Japan

Tarek Bouktir, University of Setif 1,

Algeria

Vicente Garcia Diaz, University of

Oviedo, Spain

Yudong Zhang, Columbia University,

United States

Melaka, Melaka, Malaysia

Dwi H. Widyantoro, Institut Teknologi

Bandung, Indonesia

Farzin Piltan, Sanatkadehe Sabze

Pasargad Company, Iran

Faycal Djeffal, University of Batna, Batna,

Algeria

Florentinus Budi Setiawan,

Soegijapranata Catholic University,

Indonesia

Han Yang, University of Electronic

Science and Technology, China

Irfan Syamsuddin, Politeknik Negeri

Ujung Pandang, Indonesia

Heroe Wijanto, Telkom University,

Bandung, Indonesia

Kartika Firdausy, Universitas Ahmad

Dahlan, Yogyakarta

Kridanto Surendro, Institut Teknologi

Bandung, Indonesia

Kristin Y. Pettersen, Norwegian

University of Science and Technology,

Norway

M. Sukrisno Mardiyanto, Institut

Teknologi Bandung, Indonesia

Marcin Kowalczyk, Warsaw University of

Technology, Warszawa, Poland

Media Anugerah Ayu, Universitas Siswa

Bangsa Internasional, Indonesia

Mokhtar Beldjehem, University of Ottawa,

Canada

Mohammad Hossein Anisi, University of

Malaya, Malaysia

Muhammad Abu Bakar Sidik, Universiti

Teknologi Malaysia

Nidhal Bouaynaya, University of

Arkansas at Little Rock, United States

Rudi Kurianto, Universitas Tanjungpura,

Indonesia

Shahrin Md. Ayob, Universiti Teknologi

Malaysia, Johor, Malaysia

Supavadee Aramvith, Chulalongkorn

University, Thailand

Wudhichai Assawinchaichote, King

Mongkut’s University of Technology

Thonburi, Thailand

(5)

xiii

TABLE OF CONTENTS

Foreword from General Chair

Foreword from Rector Universitas Sriwijaya

Foreword From IAES Indonesia Chapter

Organizing Committee of EECSI 2015 Conference

International Advisory Committee

EECSI 2015 Agenda / Programs

Table of Contents

INVITED SPEAKERS

iii

iv

v

vi

vii

viii

xiii

INV-1

QUANTUM NANOENGINEERING

NONEQUILIBRIUM HIGH-ELECTRIC-FIELD

TRANSPORT FOR SIGNAL PROPAGATION

Vijay K. Arora

Wilkes University

,

U. S. A.

1

INV-2

POWER ELECTRONIC CIRCUIT CONTROL

USING HYBRID APPROCH

Tri Desmana Rachmilda, Yanuarsyah Haroen

Institut Teknologi Bandung, Indonesia

TRACK: COMPUTER SCIENCE AND INFORMATICS

2

CS-03

NOVICE ASSISTANCE TOOL AND

METHODOLOGY: DESIGN DECISION AND

TASK-PATTERN MAPPING

Meei Hao Hoo, Azizah Jaafar

Universiti Tunku Abdul Rahman, Malaysia

(6)

xiv

CS-05

THE APPLICATION OF FUZZY TIME SERIES

SINGH FOR FORECASTING BANDWIDTH

NETWORK DEMAND

Aryanti, Ikhthison Mekongga

State Polytechnic of Sriwijaya, Indonesia

7

CS-06

NUMERICAL SOLUTION FOR SOLVING

SPACE-FRACTIONAL DIFFUSION EQUATIONS USING

HALF-SWEEP GAUSS-SEIDEL ITERATIVE

MMETHOD

A. Sunarto, J. Sulaiman, A. Saudi

Universiti Malaysia Sabah, Malaysia

8

CS-08

GENERALIZED MINLP OF INTERNET PRICING

SCHEME UNDER MULTI LINK QOS NETWORKS

Fitri Maya Puspita, Irmeilyana, Indrawati

Sriwijaya University, Indonesia

10

CS-09

NET.OS: NETWORK SERVER OPERATING

SYSTEMS BASED ON OPEN SOURCE

Evan Enza Rizqi, Idhawati Hestingsih, Mardiyono

Politeknik Negeri Semarang, Indonesia

11

CS-10

THE OPTIMIZED K-MEANS CLUSTERING

ALGORITHMS TO ANALYZED THE BUDGET

REVENUE EXPENDITURE IN PADANG

Dony Novaliendry

1

, Yeka Hendriyani

2

, Cheng-Hong

Yang

1

, Hafilah Hamimi

2

1

National Kaohsiung University of Applied Sciences

Kaohsiung, Taiwan,

2

State University of Padang, Indonesia

(7)

xv

CS-11

PERFORMANCE ANALYSIS ON TEXT

STEGANALYSIS METHOD USING A

COMPUTATIONAL INTELLIGENCE APPROACH

Roshidi Din

1

, Shafiz Affendi Mohd Yusof

1

, Angela

Amphawan

1

, Hanizan Shaker Hussain

2

, Hanafizah

Yaacob

2

, Nazuha Jamaludin

2

, Azman Samsudin

3

1

University Utara Malaysia, Malaysia,

2

Kolej Poly-Tech

MARA, Malaysia,

3

University Sains Malaysia, Malaysia

13

CS-12

PATTERN RECOGNITION ON PAPER

CURRENCY'S FEATURE USING LVQ

ALGORITHM

Dewanto Harjunowibowo

Sebelas Maret University, Indonesia

14

CS-13

ENHANCED RIDGE DIRECTION FOR THE

ESTIMATION OF FINGERPRINT ORIENTATION

FIELDS

Saparudin

Sriwijaya University, Indonesia

15

CS-14

VIRTUALIZATION TECHNOLOGY FOR

OPTIMIZING SERVER RESOURCE USAGE

Edwar Ali

STMIK-AMIK RIAU, Indonesia

16

CS-15

NONLINEAR PROGRAMMING APPROACH OF

WIRELESS PRICING MODELS

Irmeilyana, Fitri Maya Puspita, Indrawati

Sriwijaya University, Indonesi

(8)

xvi

CS-16

SEGMENTATION OF URDU NASTALIQ SCRIPT

USING STRUCTURAL FEATURES

Aliya Khan

National University of Science and Technology, Pakistan

18

CS-18

IMPLEMENTATION OF AUDIO WATERMARKING

USING FAST FOURIER TRANSFORM FOR AUDIO

DIGITAL COPYRIGHT PROTECTION

Megah Mulya, Yogha Saputra Utama

Sriwijaya University, Indonesia

19

CS-19

APPLICATION OF NFC TECHNOLOGY FOR

CASHLESS PAYMENT SYSTEM IN CANTEEN

Evizal Abdul Kadir

1

, Sri Listia Rosa

2

1

Universiti Teknologi Malaysia, Malaysia,

2

Universitas

Islam Riau, Indonesia

20

CS-20

THE BIG DATA MANAGEMENT PROTOTYPE

DEVELOPMENT FOR ANALYSIS VARIOUS OF

DATA

S Heri Pracoyo

Bina Nusantara University, Indonesia

21

CS-21

OPTIMIZATION OF SALIENT OBJECT

SEGMENTATION BY USING THE INFLUENCE OF

COLOR IN DIGITAL IMAGE

Edvin Ramadhan, Iping Supriana Suwardi, Bambang

Riyanto Trilaksono

Institut Teknologi Bandung, Indonesia

(9)

xvii

CS-22

OBJECT DETECTION AND TRACKING

A

SURVEY

Rasool Reddy kamireddy

1

, Hari Priya K

1

, Mohan Lakshmi

2

1

Malla Reddy Institute of Technology & Science, India,

2

CMR Technical Campus, India

23

CS-23

IDENTIFICATION OF SPEED AND UNIQUE

LETTER OF HANDWRITING USING WAVELET

AND NEURAL NETWORKS

Esmeralda C. Djamal, Febriyanti

Universitas Jenderal Achmad Yani, Indonesia

24

CS-24

DECISION SUPPORT SYSTEM FOR HEART

DISEASE DIAGNOSING USING K-NN

ALGORITHM

Tito Yuwono

1

,Ipin Prasojo

1

, Sri Kusuma Dewi

1

, Ridho

Rahmadi

1

, Noor Akhmad Setiawan

2

, Hanung Adi

Nugroho

2

, Anugrah Galang Persada

2

1

Islamic University of Indonesia Yogyakarta, Indonesia,

2

Gadjah Mada University, Indonesia

25

CS-25

EAR IMAGE RECOGNITION USING HYPER

SAUSAGE NEURON

Samsuryadi, Anggina Primanita

Sriwijaya University, Indonesia

(10)

xviii

TRACK: ELECTRONICS AND INSTRUMENTATION

EL-01

REAL TIME ENVIRONMENTAL MONITORING IN

PALM OIL PLANTATION USING WIRELESS

SENSOR NETWORK

Reza Firsandaya Malik

Sriwijaya University, Indonesia

27

EL-02

REALIZATION OF ZIGBEE WIRELESS SENSOR

NETWORKS FOR TEMPERATURE AND

HUMIDITY MONITORING

Helmy Fitriawan, Danny Mausa, Ahmad Surya Arifin,

Agus Trisanto

University of Lampung, Indonesia

28

EL-03

WIRELESS FIRE ALARM SYSTEM IN POWER

PLANT

Andri Suryabrata, Tatang Mulyana, Deden Witarsyah

Telkom Unversity, Indonesia

29

EL-04

IN SITU SOLAR PANEL OUTPUT POWER

MEASUREMENT RELATED TO CLIMATE

PARAMETERS USING DIGITAL RECORDING

Mardiyono, Endro Wasito, Sugeng Ariyono

Politeknik Negeri Semarang, Indonesia

(11)

xix

EL-05

GPS AND GSM MODEM APPLICATION AS CAR

POSITION AND FUEL MONITORING SYSTEM

Ahmad Taqwa, Masayu Anisah, Evelina, Sabilal Rasyad

and Amperawan

State Polytechnic of Sriwijaya, Indonesia

31

EL-06

GAS LEAK LOCALIZATION USING MOBILE

SENSOR NETWORKS

Siti Nurmaini

Sriwijaya University, Indonesia

32

EL-07

ELECTRONIC IDENTIFICATION SYSTEM OF

HAZARDOUS VOLATILE ORGANIC COMPOUND

GASES USING ROSELLE-CHITOSAN BLEND

Ahmed M. S. Eljali

1

, Irwana Nainggolan

2

, Shahrir

Hashim

1

, Tulus Ikhsan Nasution

3

1

Universiti Teknologi Malaysia, Malaysia,

2

University

Malaysia Perlis, Malaysia,

3

Universitas Sumatera Utara,

Indonesia

33

EL-08

AN ULTRASONIC SYSTEM FOR DETERMINING

MANGO PHYSIOLOGICAL PROPERTIES

Sallehuddin Ibrahim

1

, Mohd Amri Md Yunus

1

, Mohd

Taufiq Md Khairi

1

, Aini Hazwani Mohd Zelan

2

1

Universiti Teknologi Malaysia, Malaysia,

2

German

Malaysia Institute, Malaysia

(12)

xx

EL-09

CONTROL SYSTEM SEMI-AUTOMATIC

PALEMBANG SONGKET SHAWL USING SPLAY

TREE ALGORITHM BASED ATMEGA 8 SECTION

Sholihin

Polytechnic of Sriwijaya, Indonesia

35

EL-10

DESIGN OF UBIQUITOUS PULSE OXIMETRY

Reza Firsandaya Malik, Rifky Primartha, Adit Rubinurwan

Sriwijaya University, Indonesia

36

EL-11

DESIGN OF REAL TIME ANEMOMETER BASED

ON WIND SPEED AND DIRECTION

Triwahju Hardianto, Bambang Supeno, Dedy Kurnia

Setiawan, Syamsul Arifin, Gunawan, Ekky Wahyu

University of Jember, Indonesia

37

EL-12

SUB-TRESHOLD PERFORMANCE COMPARISON

OF JUNCTIONLESS FET AND SOI-BASED MOSFET

Munawar A Riyadi, Irawan Dharma Sukawati, Teguh

Prakoso and Darjat

Universitas Diponegoro, Indonesia

TRACK: INFORMATION SYSTEM

38

IS-01

COMPUTER ANXIETY AND COMPUTER

ATTITUDE TOWARDS CSE POLSRI STUDENT ON

WRITING THE FINAL

Irma Salamah, M. Aris Ganiardi, RD. Kusumanto

Politeknik Negeri Sriwijaya, Indonesia

(13)

xxi

IS-02

BUILDING STUDENT’S STUDY PATH USING

MARKOV CHAIN PROCESS WITH APRIORI

CROSS JOIN PEARSON CORRELATION

Tekad Matulatan, Martaleli Bettiza

Universitas Maritim Raja Ali Haji, Indonesia

40

IS-03

ANALYSIS AND IDENTIFICATION OF LANDUSE

ON THE EAST COAST OF SOUTH SUMATERA

USING GIS

Yuanita Windusari, Laila Hanum, and Margareta Sri

Lestari

Sriwijaya University, Indonesia

41

IS-04

EVALUATION OF MATURITY LEVEL OF

E-PROCUREMENT APPLICATION SYSTEMS

Irfan Sandy Kosasi

1

, I Dewa Ayu Eka Yuliani

1

, Vedyanto

2

1

STMIK Pontianak,

2

Tanjungpura University Pontianak

42

IS-05

END-USER ACCEPTANCE OF E-GOVERNMENT

SERVICES IN AN INDONESIA REGENCY

Deden Witarsyah

1

, Mohd Farhan Md Fudzee

2

, Mohamad

Aizi Salamat

2

1

Telkom University, Indonesia,

2

Universiti Tun Hussein

Onn, Malaysia

43

IS-06

USING Q-LEARNING FOR RECOMMEND

LEARNING OBJECT ON E-LEARNING SYSTEM

Hasibuan S Muhammad

Information System Institute Business and Informatics

Darmajaya, Indonesia

(14)

xxii

IS-07

THE INFLUENCE OF STEMMING ON INDONESIAN

TWEET SENTIMENT ANALYSIS

Ahmad Hidayatullah

Universitas Islam Indonesia, Indonesia

45

IS-08

AUTOMATED BALANCED DIET PLANNING

ALGORITHM FOR CHILDREN

Ashivini Kale

1

, Nisha Auti

2

1

Symbiosis International University, India,

2

Research Guide,

Symbiosis International University, India

46

IS-11

THE USE OF KPI IN GROUP DECISION SUPPORT

MODEL OF ICT PROJECTS PERFORMANCE

EVALUATION

Herri Setiawan, Jazi Eko Istiyanto, Retantyo Wardoyo,

Purwo Santoso

Gadjah Mada University, Indonesia

49

IS-12

DEVELOPMENT OF ECG FEATURE EXTRACTION

SOFTWARE

Pratondo Busono

Center for Information and Communication Technology

(BPPT) Kawasan PUSPIPTEK Serpong, Indonesia

(15)

xxiii

TRACK: ELECTRICAL & POWER ENGINEERING

PE-01

POTENTIAL OF RESIDENTIAL

GRID-CONNECTED PHOTOVOLTAIC SYSTEM AS THE

FUTURE ENERGY SOURCE IN MALAYSIA

S. S. Abd Wahid

1

, Z. Nawawi

2

, M. I. Jambak

2

, M. A. B.

Sidik

2

, Y. Z. Arief

3

, M. W. Mustafa

3

, Z. Adzis

3

1

Universiti Teknologi MARA, Malaysia,

2

Sriwijaya

University, Indonesia,

3

Universiti Teknologi Malaysia,

Malaysia

52

PE-03

GENERATING ELECTRICITY USING PV/FC

HYBRID SYSTEM

Z. Nawawi

1

, M. A.B. Sidik

1

, M.I. Jambak

1

, R.F. Kurnia

1

,

A. S. Aziz

2

, H. J. Kareem

2

, A. Z. Abdulameer

2

, M. A. A.

Aziz

2

, Z. Buntat

2

, Y. Z. Arief

2

1

Sriwijaya University, Indonesia,

2

Universiti Teknologi

Malaysia, Malaysia

54

PE-04

TRANSFORMER FAULT EARLY WARNING

SYSTEM MODEL USING GSM NETWORK

M. A. M. Azmi

1

, Z. Nawawi

2

, M. I. Jambak

2

, M. A. B.

Sidik

2

, Y. Z. Arief

3

, Z. Adzis

3

, N. A. Muhamad

3

1

Tenaga Nasional Berhad, Malaysia,

2

Sriwijaya University,

Indonesia,

3

Universiti Teknologi Malaysia, Malaysia

(16)

xxiv

PE-05

EXPERIMENTAL AND THEORETICAL

PREDICTION OF OZONE YIELD BY HIGH

FREQUENCY SILENT DISCHARGE

Mochammad. Facta

1

, Hermawan

1

, Zainal Salam

2

, Zolkafle

Buntat

2

1

Universitas Diponegoro, Indonesia,

2

Universiti Teknologi

Malaysia, Malaysia

56

PE-06

TRANSMISSION-LIGHTNING-ARRESTER : A

LOCATION DETERMINATION USING FLASH

M. I. Jambak

2

, M. A. B. Sidik

1,2

, Z. Buntat

1

, Z. Nawawi

2

,

R.F. Kurnia

2

, Y. Z. Arief

1

, A. A. Wahab

3

, Z. Ramli

3

, M. E.

Ramly

3

1

Universiti Teknologi Malaysia, Malaysia,

2

Sriwijaya

University, Indonesia,

3

Tenaga Nasional Berhad, Malaysia

TRACK: ROBOTICS AND CONTROL SYSTEMS

57

RC-01

THE ELIMINATION OF OVERSHOOT CURVE

RESPONSE OF CLOSED LOOP IN

PROPORTIONAL INTEGRAL (PI) CONTROLLER

Azwardi, Cekmas Cekdin

State Polytechnic of Sriwijaya, Indonesia

58

RC-02

PRESSURIZER SIMULATOR

Andri Suryabrata, Tatang Mulyana, Deden Witarsyah

Telkom Unversity, Indonesia

(17)

xxv

RC-03

OBSTACLE AVOIDANCE FUNCTIONS ON ROBOT

MIROSOT UPN "VETERAN" YOGYAKARTA

Wilis Kaswidjanti, Hidayatulah Himawan, Awang

Hendrianto Pratomo, Hafidz Fajar Abdur Rahman

UPN "Veteran" Yogyakarta, Indonesia

60

RC-04

DEVELOPMENT OF THE PD/PI EXTENDED

STATE OBSERVER TO DETECT SENSOR AND

ACTUATOR FAULTS

Katherin Indriawati, Trihastuti Agustinah, Achmad Jazidie

ITS, Indonesia

61

RC-05

DESIGN OF MASSIVE ACTUATIRS FOR 3D

ROBOT MANIPULATORS

Felix Pasila, Hans Natalius, Roche Alimin

Petra Christian University, Indonesia

62

RC-06

PATTERN RECOGNITION APPROACH FOR

FORMATION CONTROL OF SWARM ROBOTS

USING FUZZY-KOHONEN NETWORKS

Siti Nurmaini

Sriwijaya University, Indonesia

63

RC-07

STUDY OF VEHICLE MOVEMENT FOR MIXED

TRAFFIC MODELING USING SOCIAL FORCE

MODEL

Rina Mardiati

1,2

1

Institut Teknologi Bandung, Indonesia,

2

Sunan Gunung

Djati State Islamic University of Bandung, Indonesia

(18)

xxvi

RC-08

BRIEF REVIEW ON FORMATION CONTROL OF

SWARM ROBOT

Ade Handayani

1

, Siti Nurmaini

2

, Irsyadi Yani

2

1

State Polytechnic of Sriwijaya, Indonesia,

2

Sriwijaya

University, Indonesia

65

RC-09

REMOTE CONTROL SYSTEM FOR MULTI

MOBILE ROBOT USING A COMBINATION OF

COMPUTER-MICROCONTROLLER

Nanang Ismail

1

, Okyza, MP

1

, Dimas Widyasastrena

2

1

SGD State Islamic University, Indonesia,

2

Indonesia

Computer University, Indonesia

66

RC-10

DEVELOPMENT OF FUZZY LOGIC BASED

TEMPERATURE CONTROLLER FOR DIALYSATE

PREPARATION SYSTEM

Pratondo Busono, Ario Fitrianto, Teguh Handoyo, Arief

Barkah, Yaya Suryana, Riyanto, Rony Febryarto

Center for Information and Communication Technology

(BPPT) Kawasan PUSPIPTEK Serpong, Indonesia

67

RC-11

SENSORLESS SOLAR TRACKER BASED ON SUN

POSITION FOR MAXIMUM ENERGY

CONVERSION

Syafii, Refdinal Nazir, Muhammad Hadi Putra, and

Kamsory

Andalas Univesity, Indonesia

(19)

xxvii

RC-12

REVIEW ON ODOR LOCALIZATION

Nyayu Latifah Husni, Siti Nurmaini, Irsyadi Yani

State Polytechnic of Sriwijaya, Indonesia

69

RC-13

NCTF-FL CONTROLLER FOR PENDULUM

BALANCING SYSTEM

Noor Hisham Jalani

Department of Electrical and Electronic Technology

Advanced Technology Training Centre (ADTEC), Malaysia

70

RC-14

INTEGRATING MICROSOFT KINECT WITH

ARDUINO: REAL-TIME SKELETON HUMAN

TRACKING ON ANDROID PUPPET

I Putu Lesmana

Polytecnic State of Jember, Indonesia

TRACK: TELECOMMUNICATION & WIRELESS

71

TW-01

CAR ENGINE STORAGE AND SPARE PARTS

MANAGEMENT SYSTEM USING RFID

TECHNOLOGY

Evizal Abdul Kadir

1

, Siti Mariyam Shamsuddin

1

, Sri Listia

Rosa

2

1

Universiti Teknologi Malaysia, Malaysia,

2

Universitas

Islam Riau, Indonesia

(20)

xxviii

TW-02

RADIO SUBCARRIER MULTIPLEXING IN

CONJUNCTION WITH OPTICAL MODE DIVISION

MULTIPLEXING FOR 5G NETWORKS

Angela Amphawan, Baseem Khalaf, Wanasiah Tahir,

Hafiza Haron, Rukhiyah Adnan

University Utara Malaysia, Malaysia

,

Kolej Poly-Tech

MARA, Malaysia

73

TW-04

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Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2015), Palembang, Indonesia, 19 -20August 2015

Computer Anxiety and Computer Attitude towards

Computer Self Efficacy (CSE) Polsri

Telecommunication Engineering Student on Writing

the Final Report

Irma Salamah

Electrical Engineering Politeknik Negeri Sriwijaya Palembang, Sumatera Selatan Email : irma_salamah@polsri.ac.id

M. Aris Ganiardi, RD. Kusumanto

Informatics Management, Electrical Engineering Politeknik Negeri Sriwijaya

Palembang, Sumatera Selatan

marisg2010@gmail.com, manto_6611@yahoo.co.id

Abstract— Various attitudes emerged and shown by

individuals for the presence of computer. Although many benefits are felt by the computer, but there are some people who feel anxious with the computer (computer anxiety). Computer attitude showed no reaction or behave the computer by pleasure or displeasure against the computer. The phenomenon that arises is computer anxiety and computer attitude can affect a person's expertise in the use or operate the computer. This study aims to examine how the effect of computer anxiety and computer attitude towards computer self efficacy on the 6th semester student telecommunications engineering POLSRI. Samples taken in this study were all students of telecommunication engineering 6th semester POLSRI totaling 89 people. The results showed computer anxiety and computer attitude not affect the computer self-efficacy 6th semester student of telecommunications engineering POLSRI. This is due because the 6th semester student of telecommunications engineering POLSRI have positive feelings to learn the computer either by themselves or through a learning courses.They also realize that the computer provides many benefits. With the computer, the information can be obtained more quickly and efficiently. Computer is a necessity, can enhance human life, and was instrumental in education and employment.

.

Keywordscomputer anxiety, computer attitude, computer self efficacy

BACKGROUND

The use of computers in education is needed. Almost all elements of the college requires a computer as a tool in completing the work. Lecturers as teachers demanded to be able to use a computer to provide course materials to students, making research as part of a tri dharma college. Students were always dealing with computers in their tasks, to complete assignments and thesis / final report or searching data via the internet.

Changes in the use of software and computer programs in the completion of the thesis also often cause pressure (stress) within the student [6]. One of the psychological distress experienced by students is computer anxiety. Computer anxiety can be defined as rejection to change. Rejection can be a symptom or something else like a fear of the unknown, fear of failure, or unwillingness to change current state [6]. Computer Anxiety is a person's tendency to be hard, worry,

or fear about the use of computers in the present or in the future [11]

Literature review

Previous Research

Research relating to computerphobia has never been done. The study conducted by [8]; [2]; [13], and [6]. [8] conducted a study titled "The Effect of Computer Anxiety Factor, Computer Attitude and Math Anxiety against Expertise in End User Computing (Survey on Student Programs Accounting Education Yogyakarta State University class of 2004 and class of 2004). The sample used in this study is 61 people. The results showed a significant effect between computer anxiety and End User Computing, significant effect between computer attitude with expertise End User Computing, significant effect between Math anxiety, computer attitude, Math anxiety towards expertise in End User Computing. The study has similarities with this study that use the same independent variables namely Computer Anxiety and Computer Attitude. While the difference is [8] adds another independent variable namely Math anxiety. [2] conducted a study with the title "Computer Anxiety and Characteristics of Personality Type in Student Accounting." The study was conducted on 139 accounting student at the Faculty of Economics and Business Universitas Gadjah Mada. The conclusion of this study showed no anxiety of computer on accounting students. There is a significant correlation characteristics of students with type sensing-intuitive (sensing-sensing-intuitive) and mind-feelings (thinking-feeling) with computerphobia on accounting students. Gender and the IPK does not affect a student computer anxiety.

Research Saiful [2] have in common with this study in one variable computer anxiety. The difference seen from the other independent personality type. Subjects were accounting students of Gadjah Mada University. While in this study conducted in telecommunication engineering students POLSRI.

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Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2015), Palembang, Indonesia, 19 -20August 2015

results showed computer anxiety has significant effect on computer use. There are differences in computer anxiety between male and female students. Female students have a computer anxiety level higher than the male students. The results showed that curriculum has a significant effect on the of computer use. The study has similarities with this study that in one independent variable namely Computer Anxiety. While the difference is another independent variable that is gender and curriculum.

While [6] conducted a study on 110 students majoring in accounting Yogyakarta State University is implementing a thesis. The results show computer anxiety and computer attitude affect the use of computer skills of students in the writing.

Computer Anxiety Vs Computer Self Efficacy

Computer anxiety is fear or excessive anxiety to cause physiological consequences to students. Computer anxiety is a picture of the emotional fear, anxiety, and phobias are perceived by the individual to the interact with the computer or when thinking about using a computer.

According [11] definition of computer anxiety is a person's tendency becomes difficult, worry, or fear regarding the use of information technology (computer) in the present or in the future. According [13], the definition of computer anxiety is a particular type of stress was associated with negative beliefs about computers, the problem - a problem in using computers and the rejection of the machine.

According to [15], computer anxiety is a technophobia, where the computer is one of the growing technology in human life.

Computer Anxiety a person's tendency to be difficult,

worry, or fear about the use of computers in the present or future [4]. According to [7] computer self efficacy is defined as “an individual’s judgement of their capability to use a computer.” Research model shown in fig. 1

Computer anxiety associated with computer self efficacy. A person with a high level of anxiety computing will strive to avoid all things computer so will result in lower computing capabilities. Computer anxiety is one of technophobia [12]. Individuals who have a high sense of anxiety that shows a lack of self-efficacy [3]. If individuals feel anxious in the use of computers, then he has a reason to feel anxious that show low self-efficacy. Based on the description above hypotheses can be constructed are as follows:

H1 : computer anxiety affect towards computer self

efficacy Polsri telecommunication engineering student

Computer Attitude Vs Computer Self Efficacy

A number of experts giving a definition of computer attitude. According [16] computer attitude is defined as "a reaction or judgment to the computer by the pleasure or displeasure of the computer." In this case there is a group of people who happy (optimistic) with the development of the computer world. On the other hand a group of people unhappy (pessimistic) with these developments. According

[5] computer attitude shows "reaction or judgment to the computer by the pleasure or displeasure of the computer." The computer attitude shows feeling happy or not happy that involves a person's behavior. It is associated with behavioral theory by [1], which explains that a person's attitude is influenced by external stimuli. In the Theory of Planned Behavior (TPB) by [1] explained that "the motivation to behave in a certain person with the behavioral intention the best starting behavior and finally can make a person act (Attitude)." TPB focuses on conception attitude (attitude), subjective norms and perceived control explains the differences between the behaviors. [1] add one construct that does not exist in the TRA, which is perceived behavioral control. These constructs are added in an attempt to understand the limitations of the individual in order to perform certain behaviors [4]. If someone believes that the outcome is positive then the execution behavior will have a positive attitude as well. Subjective norms determined by the normative beliefs which is important to referent Individual [17]. Behavior is not only determined by the attitude and subjective norms, but also the individual's perception of control that can be done which is based on control beliefs [9]. Connection with the computer attitude, the attitude theory can explain that the computer attitude is determined by the value of the benefit perceived usefulness and social norms, where these factors are factors that contribute to the acceptance of the technology computer.

Computer attitudes show a reaction or judgment against the computer by pleasure or displeasure against computer [10]. Computer attitude is indicated from the attitude of optimism, pessimism, and intimidation. Computer attitude affects a person's ability to computing. Computer attitude with high aspect optimistic will cause high computing capability, while computer attitude with high the aspects of pessimistic and intimidation that would cause low computing capability. Based on the description above hypothesis can be constructed are as follows:

H2 : computer attitude affect towards computer self efficacy Polsri telecommunication engineering student

RESEARCH METHODS

The research population is all students of 6th semester telecommunications study program State Polytechnic Sriwijaya. Totaling 89 student consisting of 2 regular classes and two non regular classes. The type of data collected is primary data and secondary data. The primary data obtained through interviews with students of 6th semester POLSRI telecommunication techniques, using questionnaire that has been provided. Secondary data is data obtained from the academic Electrical Engineering Department.

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Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2015), Palembang, Indonesia, 19 -20August 2015

Fig 1. Research model

Measurement of variables in this study done in order for proposed hypothesis can be tested and research questions can be answered. Two main criteria to test how well the measurement instrument used is by validity and reliability testing. The validity testing of this research done by calculating the correlation between the scores with the help of SPSS applications. Validity testing is also done for each of the questions used in the variable. While the reliability test can only be done after a ensured instrument valid. Reliability testing use the SPSS by looking at the value of coefficient Alpha or Alpha Cronbach.

This research has two hypotheses. The hypothesis tested with a simple linear regression analysis. Further, classical assumption testing consist of normality test (Figure 2), multicollinearity and heterocedasticity test (Tables 4 and 5).

CURRENT RESULTS

Validity testing in this research is done by calculate correlation between scores by SPSS 20.0. Validity testing is also done for each of the questions used in the variable. While the reliability testing can only be done after a certain instrument validity. Reliability testing in this study use the SPSS 20.0 to see the value of coefficient Alpha or Alpha Cronbach (Tables 1,2, and 3).

Table 1. Validity and Reliability Computer Anxiety Testing Result

Table 2. Validity and Reliability Computer Attitude Testing Result

Table 3. Validity and Reliability Computer Self Efficacy Testing Result

This study has two hypotheses. The hypothesis tested in this study with a simple linear regression analysis. Further, classical assumption testing consist of normality test (Fig 2), multicollinearity and heterocedasticity test (Tables 4 and 5). Computer Anxiety

Computer Self

Efficacy

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Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2015), Palembang, Indonesia, 19 -20August 2015

fig 2. Normality Testing Result

Based on the output Normal P-P Plot shows that the distribution of existing data spread evenly all diagonal axis of the graph. In the graph dots spread around the diagonal line, and its distribution follows the direction of the diagonal line. Decision-making, if the data spread around the diagonal line and follow the direction of the diagonal line, the regression model to meet the assumption of normality. Thus the regression model is feasible to used to predict computer self-efficacy by independent variable input.

Table 4. Mulicolinearity Testing Result

Multicolinearity test known from VIF value for each predictor. Requirements to be considered free from multicollinearity is when the VIF predictor value does not exceed 10. The results for the third variable coefficients visible VIF figure does not exceed 10, so that does not happen multikolinieritas. Thus the regression models used

for prediction feasible computer self-efficacy by independent variable input.

Table 5. Heterocedasticity Testing Result

Heterocedasticity testing done using Spearman's rho, from the table above shows that the correlation between computer anxiety, computer attitude, and unstandardized residual generate greater significance value of 0.05. It can be concluded that the regression model did not reveal any problems heterokedasticity.

After the classical assumption testing we do regression analysis (Table 6).

Tabel 6. H1 and H2 Testing Result

For hypothesis 1, T test gives the value -0.432 (< t table, t table = 1.988) with a significance level of 0.667. Because t count < t table with a significance level > 0.05 then partially computer anxiety not affect computer self-efficacy POLSRI students in completing the final task.

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Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2015), Palembang, Indonesia, 19 -20August 2015

the computer attitude not affect computer self-efficacy POLSRI students in completing the final task.

From the results of data processing by using SPSS, obtained 2 regression equation: Y = 30.961 - 0.100 X1 and Y = 24.539 + 0.178 X 2.

The constanta in this study 30.961. It has meaning if there is no computer anxiety, computer self-efficacy students will increase 30.961. Coefficient regression X1 -0.100, meaning the addition of one factor of computer anxiety, the computer self-efficacy of students will decrease by 0,100.

The constanta in this study 24.539. It has meaning if there is no computer anxiety, computer self-efficacy students will increase 24.539. Coefficient regression X2 0.178, meaning the addition of one factor of computer anxiety, the computer self-efficacy of students will increase by 0,178.

Results of the hypothesis presented in Table 7.

Tabel 7. Hypothesis Result H1-H2

Hipotesis H1-H2 Uji T Sign Hasil Hipotesis

computer anxiety affect

towards computer self

efficacy Polsri

telecommunication engineering student

t count < t tabel

> 0,05 Not

Accepted

computer attitude affect towards computer self

efficacy Polsri

telecommunication engineering student

t count < t tabel

> 0,05 Not Accepted

Hypothesis H1 is not accepted. These results are not in accordance with the results of research conducted by [6], [13], and [8] who found computer anxiety affect the use of computer skills of students. College students with a low level computer capability have an uncomfortable feeling when

interacting with a computer. For POLSRI

telecommunications engineering students, the computer is not something to be feared. They anticipate the fear of computers by learning by themselves from the internet or courses. In addition the duties of lecturers generally done by a computer. So that the computer anxiety had no effect in

computer capability POLSRI telecommunications

engineering students in the final project.

H2 hypothesis is not accepted. These results are not in accordance with the results of research conducted by [6] and [8] who found the computer attitude affect the use of computer skill of students. This is due because the positive feelings to learn computers. They also realize that now is the era of computerization. Computer provides many benefits to human life. With the computer information can be obtained more quickly and efficiently. They do not think the computer

will control people in the future, because the computer itself is manmade so the man who will remain in control of the computer. For that computer attitude does not affect the ability of telecommunications engineering students POLSRI the final project.

The influence with a very small percentage of the computer anxiety and computer attitude due to some technical aspects such as computer programming languages. Students tend to be lazy to learn computer programming languages because they find it difficult to understand. This is why only a fraction of telecommunications engineering students take final POLSRI related to programming languages.

CONCLUSION

This research is described in the structural model to predict the effects of computer anxiety and computer attitude toward

computer self efficacy POLSRI telecommunications

engineering students. The results show computer anxiety and computer attitude is not affect the ability POLSRI telecommunications engineering students in completing the final task. The percentage student that take the project related computing quite a lot. This is due because the positive feelings to learn the computer either by themselves or through a learning courses.They also realize that the computer provides many benefits. With the computer, the information can be obtained more quickly and efficiently. Computer is a necessity, can enhance human life, and was instrumental in education and employment.

ADVICE

For further research in the same topic can expand the sample to the students POLSRI other departments, develop perspectives studied, for example: testing the effect of the characteristics of respondents to the computer anxiety and computer attitude towards computer self efficacy, and develop variable computer anxiety and computer attitude as the variables that affect the variable computer self efficacy.

REFERENCES

[1] Ajzen, I dan Madden. Prediction of Goal-Directed Behavior: Attitudes, Intentions, and Perceived Behavioral control, Journal of Experimental Social Psychology, Vol. 22, pp. 453-474. (2005)

[2] Ali Syaiful, dan Fadila. Kecemasan Berkomputer (Computer Anxiety) dan Karakteristik Tipe Kepribadian pada Mahasiswa Akuntansi Universitas Gadjah Mada Yogyakarta. Simposium Nasional Akuntansi ke‐11 Pontianak. (2008)

[3] Bandura, A.. Self-Efficacy: The exercise of control. New York: W. H. Freeman. (2006)

[4] Chau, P. Y. K., dan Hu, P. J. Examining the Technology Acceptance Model Using Physical Acceptance of Telemedicine Technology, Journal of Management Information Systems, Vol. 16, No. 2, pp. 91-112. (2002)

[5] Dhandung. Pengaruh Computer Anxiety Terhadap Keahlian Akuntan Pendidik Dalam Menggunakan Komputer. Skripsi. (Tidak Dipublikasikan). Universitas Sebelas Maret Surakarta. (2004) [6] Dinar Widya Utomo. Pengaruh Computer Anxiety dan Computer

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Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2015), Palembang, Indonesia, 19 -20August 2015

Komputer Pada Penulisan Skripsi. Skripsi. Universitas Negeri Yogyakarta. (2012)

[7] Doyle, E. Computer Anxiety, Self-Efficacy, Computer Experience: An investigation throughout a Computer Science degree. ASEE/IEEE Frontiers in Education Conference, October 19 – 22,(2005)

[8] Dyah Ratna. Pengaruh Faktor Computer Anxiety, Computer Attitude, dan Math Anxiety terhadap Keahlian dalam End User Computing (Survei pada Mahasiswa Jurusan Pendidikan Akuntansi Universitas Negeri Yogyakarta angkatan 2004 dan angkatan 2004). Skripsi (Tidak diterbitkan). Fakultas Ekonomi Universitas Negeri Yogyakarta. (2007)

[9] Francis, J.J., Eccles, M.P., Johnston, M., Walker, A., Grimshaw, J., Foy, R., Kaner, E.F.S., Smith, L., dan Bonetti, D. Constructing Qustionnaires Based on The Theory of Planned Behaviour. A Manual for Health Services Researches. United Kingdom: Quality of Life and Management of Living Resources. (2004)

[10] Horvat, J., Petric, G., & Mikrut, M. Measuring Computer and Web Attitudes Using Cas and Was Measurement Instruments, MIS Quarterly, 23, 2, pp. 239–260. (2006)

[11] Igbaria, M., & Parasuraman, S. A Path Analytic Study of Individual Characteristics, Computer Anxiety, and Attitudes Towards Microcomputers. Journal of Management373-388. (1989). [12] Indriantoro, Nur. Pengaruh Komputer Anxiety terhadap Keahlian

Dosen dalam Pengunaan Komputer, Jurnal Akuntansi dan Auditing Indonesia. Vol.4, No.2. (2000)

[13] Jayanto Teguh. Pengaruh Computer Anxiety, Gender, dan Kurikulum Perguruan Tinggi Negeri terhadap Keahlian Penggunaan Komputer. Skripsi (Versi Elektronik). Fakultas Ekonomi Universitas Brawijaya Malang. (2008)

[14] Kharisma Lanang. Pengaruh Computer Anxiety dan Computer Attitude Terhadap Keahlian Mahasiswa Akuntansi Dalam Menggunakan Komputer Akuntansi. Skripsi (Versi Elektronik). Fakultas Ekonomi Universitas Pembangunan Nasional Veteran Jakarta. (2010).

[15] Orr. Barriers to the Treatment of Social Anxiety. Journal of Psychiatry, 1(57), 521-527. (2000).

[16] , D., & Gudono. Pengaruh Faktor Demografi dan Personality terhadap keahlian dalam End User Computing. Jurnal Riset Akuntansi Indonesia, 2(1), 20-36. (1999).

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Gambar

Table 2. Validity and Reliability Computer Attitude
Table 5. Heterocedasticity Testing Result

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