Post on 06-Jun-2019
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PROCEEDINGS
2018 5th International Conference on Electrical Engineering,
Computer Science and Informatics (EECSI 2018)
16-18 October 2018, Malang, Indonesia
Editors: Anton Yudhana, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
Zulfatman, Universitas Muhammadiyah Malang, Indonesia
Deris Stiawan, Universitas Sriwijaya, Palembang, Indonesia
Munawar A. Riyadi, Universitas Diponegoro, Semarang, Indonesia
Imam Much Ibnu Subroto, Universitas Islam Sultan Agung, Semarang, Indonesia
Agus Eko Minarno, Universitas Muhammadiyah Malang, Indonesia
Christian Sri Kusuma Aditya, Universitas Muhammadiyah Malang, Indonesia
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PROCEEDINGS
2018 5th International Conference on Electrical Engineering,
Computer Science and Informatics (EECSI 2018)
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Copyright ©2018 by IEEE.
ISBN : 978-1-5386-8401-6 (USB, Part Number : CFP18B51-USB)
ISBN : 978-1-5386-8400-9 (DVD, Part Number : CFP18B51-DVD)
ISBN : 978-1-5386-8402-3 (XPLORE COMPLIANT, Part Number : CFP18B51-ART)
Additional copies may be ordered to:
Lembaga Pengembangan Publikasi Ilmiah (LPPI)
Universitas Muhammadiyah Malang
Gedung Perpustakaan Pusat UMM, Jl. Raya Tlogomas No. 246, Malang, 65144.
+62341-464318 Ext. 243
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EECSI 2018 Partners and Supporters
Organizer:
Sponsored by: Technical Co. Sponsorship:
Co. Organizers:
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Foreword from General Chair EECSI 2018
Foreword General Chair
In the name of Allah, the Most Beneficent, the Most Merciful.
Welcome to the 2018 5th International Conference on Electrical Engineering, Computer
Science and Informatics (EECSI 2018) in Malang, Indonesia.
The 5th EECSI 2018 is themed “Toward the Next Generation of Technology“. This conference
provides academicians, researchers, professionals, and students from various engineering fields
and with cross-disciplinary working or interested in the field of Electrical Engineering,
Computer Science, and Informatics to share and to present their works and findings to the
world.
I would like to express my highly gratitude to all participants for attending, sharing and
presenting your ideas and experiences in this interesting conference. Almost 300 papers had
been submitted to EECSI 2018. However, the only high quality papers are selected and
accepted to be presented in this event. We are also thankful to all the international committee,
international reviewers, and steering committee for their valuable support. I would like to give
a praise to all partners in publications and sponsorships for their valuable supports, especially
for Ministry of Research and Higher Education (Kemenristekdikti) Indonesia.
Organizing a prestigious conference was incredibly challenging and would have been
impossible to be held without outstanding committees. Such that, I would like to extend my
sincere appreciation to all organizing committees and volunteers from Universitas
Muhammadiyah Malang as a host and all colleagues from Universitas Diponegoro, Universitas
Ahmad Dahlan, Universitas Sriwijaya, Universitas Islam Sultan Agung, Universitas Gadjah
Mada, Universitas Budi Luhur, Universiti Teknologi Malaysia, and IAES Indonesia Section
for providing me with much needed support, advice, and assistance on all aspects of the
conference. A special thanks also for lEEE Indonesia Section for their contribution as technical
co-sponsorship of the conference. We do hope that this event will encourage the collaboration
among us now and in the future.
We wish you all find opportunity to get rewarding technical program, intellectual inspiration,
renew friendships and forge innovation, and that everyone enjoys Malang.
Assoc. Prof. DR. Tole Sutikno
General Chair EECSI 2018
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Foreword from IAES Indonesia Section
Bismillahirrohmannirrahim,
In the name of Allah Al Mighty, The Most Gracious, The Most Merciful
We are pleased to welcome our colleagues in the International Conference on Electrical
Engineering, Computer Science and Informatics (EECSI 2018) in Malang, City of Heritage
on October 16-18th, 2018.
It must be said proudly that the EECSI has been rolled out for five times since it was firstly
initiated on year 2014 in Yogyakarta. Our colleagues all over the world supporting by many
tops universities have successfully organized the conference to become the prestigious
international annual event in Indonesia.
A highest appreciation is addressed to The Ministry of Research, Technology and Higher
Education (Kemenristekdikti) Republic of Indonesia for a worthy technical and financial
support during the conference and special thanks for IEEE Indonesia Section for the technical
co-sponsorship for this prominent occasion. We do hope that this event will strengthen the
collaboration among us now and in the future.
This year, the achievement in this conference is due to valuable contributions from our
colleagues from Universitas Muhammadiyah Malang supporting by Universitas Diponegoro,
Universitas Ahmad Dahlan, Universitas Sriwijaya, Universitas Islam Sultan Agung,
Universitas Gadjah Mada, Universitas Budi Luhur and Universiti Teknologi Malaysia. I
would like to express my sincere gratitude and appreciation for all partners, friends,
Organizing committee, reviewers, keynote speakers, and participants who have made this
event as great as today.
I would also like to extend my gratitude to Rector of Universitas Muhammadiyah Malang
who friendly becomes a main host for this great conference. We optimist many following
collaborative works will be carried out among us and all participants.
I hope you all had a nice time at the conference where all of you are able to learn something
new, renewed and created new networks and at the same time have some fun in Malang City
during the conference and Mount Bromo during the cultural tour.
Thank you.
Assoc. Prof. Mochammad Facta, Ph.D
IAES – Indonesia Chapter
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Foreword from Rector of Universitas Muhammadiyah Malang
The advent of the next generation of technology, renown as Technology 4.0, is unavoidably
incessant. This so-called technology has offered a new horizon in various aspects of man-
beings’ lives. To be particular in the fields of electrical engineering, electronics, computer
science, computer engineering, and informatics, Technology 4.0 plays its potent role to
underpin the future advancement of technology for the coming generations. Scientific forum
titled as the 2018 5th International Conference on Electrical Engineering, Computer Science,
and Informatics (EECSI 2018) hosted by University of Muhammadiyah Malang in
collaboration with a number of universities is the manifestation of continuous effort to aim
for the ever-changing technology.
Hereby, I would like to congratulate the Faculty of Engineering, University of
Muhammadiyah Malang for their effort in organizing the 2018 5th International Conference
on Electrical Engineering, Computer Science, and Informatics (EECSI 2018). I appreciate all
co-organizers such as Universitas Diponegoro, Universitas Ahmad Dahlan, Universitas
Sriwijaya, Universitas Islam Sultan Agung, Universitas Budi Luhur, and Universiti
Teknologi Malaysia for their support in this mutual collaboration. Without the full and
valuable supports from the international committee, international reviewers, and steering
committee, this international conference remains a detached discourse without high
commitment to conduct.
The expression of my high gratitude is devoted to the Ministry of Research, Technology, and
Higher Education (Kemenristekdikti) Republic of Indonesia, IEEE Indonesia Section, and
IAES Indonesia Section for their support to this event as the sponsors and technical co-
sponsorship, respectively. Expectantly, this would be the initial and continual collaboration in
the future.
To all speakers, presenters, and participants, thank you for participating and welcome to this
conference. The success of this conference owes so much on your participation and
contribution in promoting the knowledge, information, and robust creativity. To end with,
this conference expectedly becomes an arena to build mutual ties among the academicians,
researchers, industries, and society.
All the best to EECSI 2018
Dr. H. Fauzan, M.Pd.
Rector
Universitas Muhammadiyah Malang - Indonesia
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ORGANIZING COMMITTEE OF
EECSI 2018 CONFERENCE
Steering Committee Adam Skorek, IEEE MGA Awards and Recognation Chair (R7) Trois-Rivières, QC,
Canada
Pekik Argo Dahono, IEEE Indonesia Chapters Chair (EdSoc/EDS/PELS/SPS)
Mochamad Ashari, Telkom University, Bandung, Indonesia
Tumiran, Universitas Gadjah Mada, Yogyakarta, Indonesia
Hermawan, Universitas Diponegoro, Semarang, Indonesia
Zainudin Nawawi, Universitas Sriwijaya, Palembang, Indonesia
Rahmat Budiarto, Albaha University, Baha, Saudi Arabia
Sri Arttini Dwi Prasetyowati, Universitas Islam Sultan Agung, Semarang, Indonesia
Kartika Firdausy, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
Siti Nurmaini, Universitas Sriwijaya, Palembang, Indonesia
Ahmad Mubin, Universitas Muhammadiyah Malang, Indonesia
General Chair
Tole Sutikno, IAES Indonesia
Finance Chairs and Treasurer Wiwiek Fatmawati, Universitas
Islam Sultan Agung, Semarang,
Indonesia
Lailis Syafa’ah, Universitas
Muhammadiyah Malang, Indonesia
Lina Handayani, Universitas Ahmad
Dahlan, Yogyakarta, Indonesia
Program Chairs Deris Stiawan, Universitas
Sriwijaya, Palembang, Indonesia
Mochammad Facta, Universitas
Diponegoro, Semarang, Indonesia
Agus Eko Minarno, Universitas
Muhammadiyah Malang, Indonesia
Machmud Effendy, Universitas
Muhammadiyah Malang, Indonesia
Fauzi Sumadi, Universitas
Muhammadiyah Malang, Indonesia
Christian Sri Kusuma Aditya,
Universitas Muhammadiyah
Malang, Indonesia
General Co-Chair Zulfatman, Universitas
Muhammadiyah Malang, Indonesia
Anton Yudhana, Universitas Ahmad
Dahlan, Yogyakarta, Indonesia
Publication Chairs Munawar A. Riyadi, Universitas
Diponegoro, Semarang, Indonesia
Balza Achmad, Universitas Gadjah
Mada, Yogyakarta, Indonesia
Yuda Munarko, Universitas
Muhammadiyah Malang, Indonesia
Wahyu A. Kusuma, Universitas
Muhammadiyah Malang, Indonesia
Publicity Chairs Imam Much Ibnu Subroto,
Universitas Islam Sultan Agung,
Semarang, Indonesia
Maskur, Universitas
Muhammadiyah Malang, Indonesia
Son Ali Akbar, Universitas Ahmad
Dahlan, Yogyakarta, Indonesia
Sam F. Chaerul, Universitas Islam
Sultan Agung, Semarang, Indonesia
Ahmad Heryanto, Universitas
Sriwijaya, Palembang, Indonesia
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Public Relations Chairs Aina Musdholifah, Universitas
Gadjah Mada, Yogyakarta,
Indonesia
Amrul Faruq, Universitas
Muhammadiyah Malang, Indonesia
Reza Firsandaya Malik, Universitas
Sriwijaya, Palembang, Indonesia
Muhammad Syafrullah, Universitas
Budi Luhur, Jakarta, Indonesia
Muhammad Qomaruddin,
Universitas Islam Sultan Agung,
Semarang, Indonesia
Krisna Adiyarta, Universitas Budi
Luhur, Jakarta, Indonesia
Technical Program Chairs Munawar A. Riyadi, Universitas
Diponegoro, Semarang, Indonesia
Balza Achmad, Universitas Gadjah
Mada, Yogyakarta, Indonesia
Deris Stiawan, Universitas
Sriwijaya, Palembang, Indonesia
Arief Marwanto, Universitas Islam
Sultan Agung, Semarang, Indonesia
Mudrik Alaydrus, Universitas Mercu
Buana Jakarta, Indonesia
Teddy Mantoro, Sampoerna
University, Jakarta, Indonesia
Sidiq Syamsul Hidayat, Politeknik
Negeri Semarang, Semarang,
Indonesia
Technical Program Members Syed Mohsen Naqvi, Newcastle
University, UK
Peter Balazs, Austrian Academy of
Sciences, Austria
Mohammed Alghamdi, Al-Baha
University
Marco Baldi, Università Politecnica
delle Marche
Ihsen Ben Mbarek, National
Engineering School of Tunis
Suryadip Chakraborty, Johnson C.
Smith University
July Díaz, Universidad Distrital
Francisco José de Caldas
Saurabh Dixit, Babu Banarsi Das
University, Lucknow
Wajeb Gharibi, Jazan University,
KSA
Visvasuresh Victor Govindaswamy,
Concordia University
Muhammad Abu Bakar Sidik,
Universitas Sriwijaya, Indonesia
Saied Abd El-atty, Menoufia
University-Faculty of Electronic
Engineering K. M. Mahtab Hossain, University
of Greenwich
Ahmed Mobashsher, The University
of Queensland
Ratan Kumar Mondal, Queensland
University of Technology
Kun-Da Wu, HTC Corporation
Quanxin Zhao, University of
Electronic Science and Technology
of China
Tresna Dewi, Polytechnic of
Sriwijaya, Indonesia
David Luengo, Universidad
Politecnica de Madrid, Spain
Maria Chiara Caschera, Consiglio
Nazionale delle Ricerche, Rome,
Italy
Amir Nakib, Universite de Paris Est
Creteil, Vitry-sur-Seine, France
Pujianto Yugopuspito, Universitas
Pelita Harapan, Indonesia
Jens Klare, Fraunhofer-Gesellschaft,
Munich, Germany
Ramy Atawia, Queen’s University,
Kingston, Kingston, Canada
Maxime Leclerc, Thales Research &
Technology (TRT), Canada
Sanjoy Debbarma, National Institute
of Technology Meghalaya, Shillong,
India
Bo Kong, PLA University of
Science and Technology, Nanjing,
China
Noha El-Ganainy, Arab Academy
for Science & Technology and
Maritime Transport, Egypt
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Rodrigo Montufar-Chaveznava,
Facultad de Ingeniería, Universidad
Nacional Autonoma de Mexico
Michel Owayjan, American
University of Science & Technology
Ljiljana Šeric, University of Split,
Crotia
Hengky Susanto, Hong Kong
University of Science and
Technology
Khoirul Anwar, Telkom University,
Indonesia
Muhammad Raza, HUST Wuhan,
China
Xiaojun Li, Texas A&M University,
United States
Marco Guazzone, University of
Piemonte Orientale, Italy
Indra Riyanto, Universitas Budi
Luhur, Indonesia
Local Arrangement, Exhibits & Registration Chairs Ermanu Azizul Hakim, Universitas
Muhammadiyah Malang, Indonesia
M. Irfan,Universitas
Muhammadiyah Malang, Indonesia
Galih Wasis Wicaksono, Universitas
Muhammadiyah Malang, Indonesia
Lailatul Husniah, Universitas
Muhammadiyah Malang, Indonesia
Ilham Pakaya, Universitas
Muhammadiyah Malang, Indonesia
Novendra Setiawan, Universitas
Muhammadiyah Malang, Indonesia
International Committee Lech M. Grzesiak, Warsaw
University of Technology, Poland
Leo P. Ligthart, Delft University of
Technology, Netherlands
Malaoui Abdessamad, University of
Beni Mellal
Muhammad Ishtiaq Ahmad, Beijing
Institute of Technology
Diego Arcos-Aviles, Universidad de
las Fuerzas Armadas ESPE
Eduard Babulak, Fort Hays State
University
Alper Bereketli, ASELSAN Inc.
Tugçe Bilen, Istanbul Technical
University
Yue Cao, Northumbria University
Arcangelo Castiglione, University of
Salerno, Italy
Di Chen, University of Rostock,
Germany
Paolo Crippa, Università Politecnica
delle Marche
George Dekoulis, Aerospace
Engineering Institut
Muftah Fraifer, IDC-University of
Limerick
Felix J. Garcia Clemente, University
of Murcia, Spain
Srideep Ghosh, ELTRON Wireless
Nagendra Kumar Nainar, CISCO
Abdellah Najid, Institut National des
Postes et Télécommunications
Gabriele Piantadosi, University of
Naples Federico II
Nadia Qasim, King’s College
London
Abdalhossein Rezai, ACECR
Zulhisyam Salleh, Universiti
Teknikal Malaysia Melaka
Hans Schotten, University of
Kaiserslautern
Min Keng Tan, Universiti Malaysia
Sabah
Revak Tyagi, Cisco Systems
Marcel Wagner, University of São
Paulo
Hao Wu, ZTE Corporation
Kishore Yalamanchili, Google
Mohammed Younis, University of
Baghdad
Jing Zhou, University of Science and
Technology of China
Olympia Roeva, Institute of
Biophysics and Biomedical
Engineering
Deepika Koundal, National Institute
of Technology, Hamirpur
Domenico Ciuonzo, University of
Naples Federico II
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Henry Griffith, Michigan State
University
Berkin Güler, Koc University
Jun He, University of New
Brunswick
Zhaozheng Hu, Georgia Institute of
Technology
Dimitrios Kallergis, University of
Piraeus, Greece
Fukuro Koshiji, Tokyo Polytechnic
University
Sunil Kumar, The LNM Institute of
Information Technology, India
Takashi Kurimoto, National Institute
of Informatics, Japan
Jia-Han Li, National Taiwan
University
Xiangguo Li, Henan University of
Technology, China
Sukadev Meher, National Institute of
Technology, India
Ronald Mulinde, University of
South Australia
Fernando Mussoi, Federal Institute
of Santa Catarina, Brazil
Ravi Subban, Pondicherry
University, Pondicherry, India
Andrea Fiaschetti, Universita degli
Studi di Roma La Sapienza, Italy
Murali Krishna Kadiyala, Wichita
State University, United States
Zhe Zhang, Electrical and Computer
Engineering Department, George
Mason University
Parag Chatterjee, Universidad
Tecnologica Nacional, Buenos
Aires, Argentina
Mohamed Rehan, AvidBeam
Technologies, Cairo, Egypt
Ahmed Helmy, University of Texas
at Dallas, Richardson, United States
Harikumar Rajaguru, Anna
University Chennai, India
Feng Ouyang, Johns Hopkins
University, United States
Xuanxuan Tang, PLA University of
Science and Technology, China
xi
TABLE OF CONTENTS
Foreword From General Chair EECSI 2018
Foreword From IAES Indonesia Section
Foreword From Rector of Universitas Muhammadiyah Malang
ORGANIZING COMMITTEE OF EECSI 2018 CONFERENCE
KEYNOTE
KN-1 : Optimization of Modified Sliding Mode Control for an Electro-Hydraulic
Actuator System with Mismatched Disturbance
TRACK-1 : Biomedical Engineering and Bioinformatics
T1-1 : OCT for non-destructive examination of the internal biological structures of
mosquito specimen
T1-2 : Analysis of EMG based Arm Movement Sequence using Mean and Median
Frequency
T1-3 : Implementation of Myo Armband on Mobile Application for Post-stroke
Patient Hand Rehabilitation
T1-4 : Development of Embedded System for Centralized Insomnia System
T1-5 : Performance Analysis of Color Cascading Framework on Two Different
Classifiers in Malaria Detection
T1-6 : Monitoring Walking Devices For Calorie Balance In Patients With Medical
Rehabilitation Needs
TRACK-2 : Computer Science and Applications
T2-1 : E-Government Maturity Model to Support System Dynamics in Public
Policymaking
T2-2 : Comparative Analysis of Forensic Software on Android-based Blackberry
Messenger using NIJ Framework
T2-3 : Semi-reactive Switch Based Proxy ARP in SDN
T2-4 : Improvement of Cluster Importance Algorithm with Sentence Position for
News Summarization
T2-5 : Comparison Between A* And Obstacle Tracing Pathfinding In Gridless
Isometric Game
T2-6 : Automatic Game World Generation for Platformer Games Using Genetic
Algorithm
T2-7 : Middleware for Network Interoperability in IoT
T2-8 : Face RGB-D Data Acquisition System Architecture for 3D Face
Identification Technology
T2-9 : Feature Expansion for Sentiment Analysis in Twitter
T2-10 : Web-based Campus Virtual Tour Application using ORB Image Stitching
T2-11 : Automatic User-Video Metrics Creations From Emotion Detection
T2-12 : Real Time SIBI Sign Language Recognition Based on K-Nearest Neighbor
T2-13 : Artificial Neural Network Parameter Tuning Framework For Heart Disease
Classification
T2-14 : Winter Exponential Smoothing: Sales Forecasting on Purnama Jati
Souvenirs Center
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22
27
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35
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49
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T2-15 : Analysis and Design of Decision Support System Dashboard for Predicting
Student Graduation Time
T2-16 : Sentiment Analysis Using Support Vector Machine Algorithm
T2-17 : Group Formation Using Multi Objectives Ant Colony System for
Collaborative Learning
T2-18 : Smart Traffic Light based on IoT and mBaaS using High Priority Vehicles
Method
T2-19 : Correlation Between Bruto Domestic Products (Gdp) With Duty Schools
T2-20 : Mobile Learning: Utilization of Media to Increase Student Learning
Outcomes
T2-21 : Study of the Android and ANN-based Upper-arm Mouse
T2-22 : FVEC feature and Machine Learning Approach for Indonesian Opinion
Mining on YouTube Comments
T2-23 : Clustering human perception of environment impact using Rough Set
Theory
T2-24 : E-Government Service Evaluation of Batu City Health Dept.using e-
Govqual Approach and IPA Analysis
T2-25 : Implementation of Obfuscation Technique on PHP Source Code
TRACK-3 : Electrical Power Engineering
T3-1 : Power Demand Forecasting Considering Actual Peak Load Periods Using
Artificial Neural Network
T3-2 : A New Algorithm for Designing the Parameter of Damped-Type Double
Tuned Filter
T3-3 : Comparison of LFC Optimization on Micro-hydro using PID, CES, and
SMES based Firefly Algorithm
T3-4 : Optimal Power Flow using Fuzzy-Firefly Algorithm
T3-5 : Low-Frequency Oscillation Mitigation using an Optimal Coordination of
CES and PSS based on BA
T3-6 : Computer Aided Model for an Off-grid Photovoltaic System using Batteries
Only
T3-7 : Computer Aided Model for a Low Voltage Varistor with Increased Thermal
Stability
T3-8 : Smart Frequency Control using Coordinated RFB and TCPS based on Firefly
Algorithm
T3-9 : Economic Feasibility Study of Rooftop Grid Connected PV System for Peak
Load Reduction
T3-10 : Automatic Switching Algorithm for Photovoltaic Power Generation System
T3-11 : Rotor Speed Control Maximum Power Point Tracking for Small Wind
Turbine
T3-12 : Stator Flux Oriented Control of Three-Phase Induction Motor with
Improved Decoupling Scheme
T3-13 : Sensorless PMSM Control using Fifth Order EKF in Electric Vehicle
Application
T3-14 : Sizing Optimization And Operational Strategy Of HRES (PV-WT) Using
Differential Evolution Algorithm
T3-15 : Indoor Agriculture: Measurement of The Intensity of LED for Optimum
Photosynthetic Recovery
T3-16 : Quasi Z-Source Inverter as MPPT on Renewable Energy using Grey Wolf
Technique
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122
129
134
138
144
150
156
160
164
169
175
180
186
192
198
202
207
213
218
225
231
236
242
249
255
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T3-17 : Analysis of Waveform of Partial Discharge in Air Insulation Measured by
RC Detector
T3-18 : Application of Ultra-Wideband Double Layer Printed Antenna for Partial
Discharge Detection
T3-19 : Reliability Analysis of Randu Garut 3 Distribution System Using Section
Technique Method
T3-20 : Combined Computational Intelligence Approach for the Power System
Optimization Problem
T3-21 : Partial Discharge and Breakdown Strength of Plasma Treated
Nanosilica/LDPE Nanocomposites
T3-22 : PSS Design Based on Fuzzy Controller with Particle Swarm Optimization
Tuning
T3-23 : A Design of Coreless Permanent Magnet Axial Flux Generator for Low
Speed Wind Turbine
T3-24 : Design of Hybrid System Power Management Based Operational Control
System to Meet Load Demand
T3-25 : On The Use of Hilbert Transform Method for Enveloping Partial Discharge
Signal
T3-26 : Circuit Simulation for Wind Power Maximum Power Point Tracking with
Four Switch Buck Boost Converter
T3-27 : Modulation Strategies for Indirect Matrix Converter: Complexity, Quality
and Performance
T3-28 : Review on Adjustable Speed Drive Techniques of Matrix Converter Fed
Three-Phase Induction Machine
T3-29 : A Survey on Topologies and Controls of Z-Source Matrix Converter
TRACK-4 : Electronics and Instrumentation
T4-1 : High Frequency Multiplier by cascading diode with high order bandpass
amplifier multiple times
T4-2 : Bioelectrical measurement for sugar recovery of sugarcane prediction using
artificial neural network
T4-3 : Implementation of MEMS Accelerometer for Velocity-based Seismic Sensor
T4-4 : Monitoring The Usage of Marine Fuel Oil Aboard Ketapang Gilimanuk Ship
T4-5 : Design of Low Noise Micro Liter Syringe Pump for Quartz Crystal
Microbalance Sensor
TRACK-5 : Information Systems and Technologies
T5-1 : Appropriate Sets of Criteria for Innovation Adoption of IS Security in
Organizations
T5-2 : Self-Efficacy a Critical Factor of Information System: An Investigation using
DeLone McLean
T5-3 : Improvement of Information Technology Infrastructure in Higher Education
using IT Balanced Scorecard
T5-4 : A Conceptual Framework of Cloud-Based Mobile-Retail Application for
Textile Cyberpreneurs
T5-5 : Implementation of Winnowing Algorithm for Document Plagiarism
Detection
T5-6 : Shortest Route at Dynamic Location with Node Combination-Dijkstra
Algorithm
T5-7 : Analysis of Consumer Confidence on Mobile Commerce in Indonesia
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303
308
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354
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377
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388
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T5-8 : Social Media and User Performance in Knowledge Sharing
T5-9 : Learning Motivation increased due to a Relaxed Assessment in a
Competitivee-Learning Environment
T5-10 : Development of Mobile Based Educational Game as Learning Media for
Basic Programming in VHS
T5-11 : Incident and Service Request Management for Academic Information
System based on COBIT
T5-12 : Applying IT Services Business Relationship Management on Security
Outsource Company
T5-13 : Implementation of the Culinary Recommendation System Using Sentiment
Analysis and SAW in Bengkulu
T5-14 : Success Factors of HRIS: A Case of Ministry of State-owned Enterprise
T5-15 : Factors Affecting Users' Purchase Intention and Attitudes towards Mobile
Advertising
T5-16 : Analysis of Electronic Medical Record Reception using Expanded
Technology Acceptance Model
T5-17 : Implementation Strategy of Knowledge Management System: A Case of Air
Drilling Associates
T5-18 : The Utilization of Ontology to Support The Results of Association Rule
Apriori
T5-19 : Determination of Router Location for Optimizing Computer Network Using
Dominating Set Methods
T5-20 : Evaluating The Semantic Mapping
T5-21 : The Role of Social User and Social Feature on Recommendation
Acceptance in Instagram in Indonesia
T5-22 : User Experience Analysis of The Users Babacucu.Com
T5-23 : A Measurement Framework for Analyze The Influence of Service Quality
and Website Quality on User Sat
T5-24 : Quantitative Strategic Planning Matrix Analysis On The Implementation Of
Second Screen Technology
T5-25 : Investment Analysis of Smart Connected Motorbike in Machine to Machine
Application in Indonesia
T5-26 : Efficiency and Reliability Performance's of the Bioinformatics Resource
Portal
T5-27 : ISO/IEC 9126 Quality Model for Evaluation of Student Academic Portal
T5-28 : Measurement of IS/IT Investment on the Implementation of ERP and the
Effect on company productivity
T5-29 : Analysis on Customer Satisfaction Dimensions in P2P Accommodation
using LDA: A Case Study of Airbnb
T5-30 : Individual Factors As Antecedents of Mobile Payment Usage
T5-31 : Determine supporting features for mobile application of NUSANTARA
T5-32 : Knowledge Management Maturity Assessment in Air Drilling Associates
using G-KMMM
T5-33 : Measuring Knowledge Management Readiness of Indonesia Ministry of
Trade
T5-34 : Personal Extreme Programming with MoSCoW Prioritization for
Developing Library Information System
TRACK-6 : Networks and Telecommunication Systems
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452
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471
477
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493
499
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528
534
540
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T6-1 : ML-Optimized Beam-based Radio Coverage Processing in IEEE 802.11
WLAN Networks
T6-2 : Single-Tone Doppler Radar System for Human Respiratory Monitoring
T6-3 : Dual Frequency Continuous Wave Radar for Small Displacement Detection
T6-4 : A New Method for Minimizing the Unnecessary Handover in High-Speed
Scenario
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T6-11 : Simulation of Mobile LoRa Gateway for Smart Electricity Meter
T6-12 : Rain Attenuation Statistics over 5G Millimetre Wave Links in Malaysia
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T7-4 : Magnetorheological Elastomer Stiffness Control for Tunable Vibration
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T7-5 : Improving a Wall-Following Robot Performance with a PID-Genetic
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T7-6 : A Review of Solar Tracker Control Strategies
T7-7 : Robust and Accurate Positioning Control of Solar Panel System Tracking
based Sun Position Image
T7-8 : Robust Adaptive Sliding Mode Control Design with Genetic Algorithm for
Brushless DC Motor
T7-9 : Active Fault Tolerance Control for Sensor Fault Problem in Wind Turbine
Using SMO with LMI Approach
TRACK-8 : Signal, Image and Video Processing
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T8-4 : Human Detection using Aggregate Channel Features with Kalman Filtering
Image Processing
T8-5 : Automatic Estimation of Human Weight From Body Silhouette Using
Multiple Linear Regression
T8-6 : Variance and Symmetrical-based Approach for Optimal Alignment of 3D
Model
T8-7 : The Recognition Of Semaphore Letter Code Using Haar Wavelet And
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T8-8 : Adventure Game Show:Audience Involvement, Destination Image and
Audience Behavior
T8-9 : Visual Emotion Recognition Using ResNet
T8-10 : A Feature-Based Fragile Watermarking of Color Image for Secure E-
Government Restoration
TRACK-9 : Soft Computing and Intelligent System
T9-1 : Aspect Based Sentiment Analysis approach with CNN
T9-2 : Optimal ANFIS Model for Forecasting System Using Different FIS
T9-3 : Automated Diagnosis System of Diabetic Retinopathy Using GLCM Method
and SVM Classifier
T9-4 : Development of Discrete-Cockroach Algorithm (DCA) for Feature Selection
Optimization
T9-5 : Narrow Window Feature Extraction for EEG-Motor Imagery Classification
using k-NN and Voting Scheme
T9-6 : Emotion Recognition using Fisher Face-based Viola-Jones Algorithm
T9-7 : IDEnet: Inception-Based Deep Convolutional Neural Network for Crowd
Counting Estimation
T9-8 : Multispectral Imaging and Convolutional Neural Network for Photosynthetic
Pigments Prediction
T9-9 : Application for the diagnosis of pneumonia based on Pneumonia Severity
Index (PSI) values
T9-10 : Impact of Matrix Factorization and Regularization Hyperparameter on a
Recommender System for Movies
T9-11 : Object Detection of Omnidirectional Vision Using PSO-Neural Network for
Soccer Robot
T9-12 : DSS Scheme Using Forward Chaining-Simple Multi Attribute Rating
Technique For Cocoa Beans Selection
T9-13 : CountNet: End to End Deep Learning for Crowd Counting
T9-14 : Sentiment Analysis Based on Appraisal Theory for Assessing Incumbent
Electability
T9-15 : Robust Principal Component Analysis for Feature Extraction of Fire
Detection System
T9-16 : Indonesian Id Card Recognition using Convolutional Neural Networks
T9-17 : Sarcasm Detection on Indonesian Twitter Feeds
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Smart Traffic Light based on IoT and mBaaS using High Priority Vehicles Method
Muhammad Izzuddin Mahali Department of Electronics and
Informatics Education Yogyakarta State University
Yogyakarta, Indonesia izzudin@uny.ac.id
Bekti Wulandari Department of Electronics and
Informatics Education Yogyakarta State University
Yogyakarta, Indonesia bektiwulandari@uny.ac.id
Eko Marpanaji Department of Electronics and
Informatics Education Yogyakarta State University
Yogyakarta, Indonesia eko@uny.ac.id
Umi Rochayati Department of Electronics and
Informatics Education Yogyakarta State University
Yogyakarta, Indonesia umi@uny.ac.id
Satriyo Agung Dewanto Department of Electronics and
Informatics Education Yogyakarta State University
Yogyakarta, Indonesia satriyoad@uny.ac.id
Nur Hasanah Department of Electronics and
Informatics Education Yogyakarta State University
Yogyakarta, Indonesia nurhasanah@uny.ac.id
Abstract-An increase of the number of vehicles which is not followed by the number of roads can lead to the increase of congestion, especially in big cities. Regulation of law no 22 Year 2009 explains that there are seven types of vehicles prioritized on the road. This research aims to build a Smart Traffic Light as a solution with the goal of making the prioritized vehicle journey smooth when crossing the road with Smart Traffic Light. The proposed system is "Smart Traffic Light on IoT and mBaaS (Mobile Backend As a Service) using High Priority Vehicles Method". The Smart Traffic Light has three important parts, including: (1) Smart Traffic Application; (2) Smart Traffic Controller; and (3) mBaaS. Prioritized vehicle drivers cross the road using the Smart Traffic Application when they are in an emergency situation. Smart Traffic Application and Smart Traffic Controller communicate using mBaaS. Smart Traffic Application has a vehicle track search facility as well as identification of traffic light location. A few meters before crossing, Smart Traffic Application will send the location to mBaaS and continue to be read by Smart Traffic Controller using internet. If it meets the criteria of High Priority Vehicle, then Traffic Light will be changed to green in the same path. The results show that when testing the data rate from Smart Traffic Application to Smart Traffic Controller, it takes no later than 8.15 seconds and 1.2 seconds (the fastest) with the average data transmission time of 3.39 seconds. Smart Traffic Light is able to identify the direction of the vehicle before passing through the Smart Traffic Application.
Keywords—smart traffic light, IoT, mBaaS
I. INTRODUCTION
“Internet of Things (IoT) is a network of physical objects embedded in electronics, software, sensors and connectivity which enables it to achieve greater value and services by exchanging data with manufacturers, operators and / or other connected devices. Each unique thing is identified through an embedded computing system, but it is able to operate within the existing Internet infrastructure. So far, IoT is the most closely related to machine-to-machine (M2M) communications in manufacturing and electricity, petroleum, and gas. Products built with M2M communication capabilities are called smart or smart systems (e.g. smart label, smart meter, smart grid sensor). According to research results obtained from Juniper’s study, there is a growth of IoT devices three times greater from 2016 to 2021. According to the results of research
from Juniper, it is estimated that the number of IoT equipment connected to the internet either device, sensor or actuator is approximately more than 46 billion within the next four years.
Mobile Backend as a Services (mBaaS) is one of the categories of cloud computing services that are usually used by mobile application developers. MBaaS helps developers by connecting applications with backend cloud database as well as other features such as user management, push notification and Authentication integration. These services are provided through the support of Software Development Kits (SDK) and Application Programming Interface (API). The Cloud Computing platform, which supports all smart agents, empowers specialized resources [1]. Internet of Things connected with mBaaS is able to create smart systems that can be used with various purposes. Integrated IoT and Cloud computing applications enabling the creation of smart environments such as Smart Cities need to be able to (a) combine services offered by multiple stakeholders and (b) scale to support a large number of users in a reliable and decentralized manner [2].
Figure 1 An Ambulance Stucked In Traffic Jam
According to Law No. 22 of 2009 on Road Traffic and Transportation Article 134 related to road users, those who have the primary right to take precedence are listed as follows: (1) fire-fighting vehicles carrying out duties (2) ambulances carrying sick people (3) vehicles to provide
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assistance to Traffic Accidents (4) vehicles led by the State Institution of RI (5) vehicles of leaders and officials of foreign countries as well as international institutions who are guests of the state (5) a funeral parade/procession (7) convoys and / or vehicles for particular circumstances.
A good driving behavior is shown when there is an ambulance, they should give a way to it. However, when at the intersection of roads that have traffic light facing long congestion even up to hundreds of meters, ambulance sirens are not heard up to the vehicle at the end of the traffic light. Then, the ambulance has to wait for its turn to cross the intersection as shown in Fig.1.
I. RELATED WORK
Another traffic light system is also proposed by [3] who proposes intelligent traffic signal control system by connecting RFID technology system, Microcontroller Unit, Cloud storage and Android App. In a study proposed by [3], when implemented in real terms RFID utilization, it would have difficulty when it is in a junction that had long congestion. RFID technology has difficulty in detecting vehicle distance. In different scenarios, if failing in detecting using RFID, android Application can be used. In the study [3], the number of points passed by the vehicle and how the alternative methods in the detection of lanes and the location of the crossing which is passed are not mentioned.
Firebase usage as mobile Backend as a Service is the use of database in the form of Cloud. The utilization of firebase in the IoT field has been done by [4]. The study discussed the use of cloud databases and authentication used for home automation. Firebase has many features such as Analytical, Authentication, Cloud Messaging, Real-Time Database, Storage, REST, Hosting, Test Lab, Crash Reporting and Cloud Functions [4]–[6]. Utilization of Scientific Cloud (Infrastructure as a Service) in IoT [7] can bridge the communication between hadware that has limited ability in data access. Things in IoT can be either input sensor or output actuator [8], [9].
The research of Smart Traffic Light Solution for High Priority Vehicle has been done by [10]. This study is devoted to ambulance that will be given a priority when crossing the intersection. In the research that has been done using the parameters Amount of ambulance requesting, the ambulance emergency level, minimum distance and waiting time Smart Traffic Light Solution for High Priority Vehicle research have been conducted by [10].
II. PROPOSED METHODOLOGY
A. System Diagram
Fig. 2 General System Diagram
Fig. 3 System Diagram Detail
Broadly speaking, Smart Traffic Light System based on IoT and mBaas using High Priority Vehicles method has five main parts as in Fig-2. (1) Smart Traffic Application (2) Smart Traffic Controller (3) mBaaS (4) High Priority Vehicles Method and (5) Traffic Light.
B. Mobile Backend as a Service
The Smart Traffic Light system uses the Backend as a Service (mBaaS) Firebase mobile service in the form of Realtime Database, Authentication, Android SDK and REST Suport services. The firebase usage allows the use of data stored in the cloud. Communications that occur between Smart Traffic Controller System and Cloud utilize API (Application Program Interface) [5]. Smart Traffic Application communicates with Firebase using Android SDK.
C. Smart Traffic Application
Smart Traffic Application is an Android-based Operating System application used by vehicle drivers. This application has authentication login facility to maintain system security as well as identification of the vehicle type. In addition to using the application authentication feature, smart traffic also has Cloud Database facility that allows storage of cloud-based data (Cloud Database). The use of GPS facility from smart phone is used to know the position of the vehicle in real time. To support the map and navigation path, Smart Traffic Application uses API services from Google Maps [11] that provide digital map data, navigation routing and traffic density.
D. Smart Traffic Controller
Smart Traffic Controller is a hardware device that plays as Things in the Internet of Things system [3], [4], [12]. Smart Traffic Controller uses nodeMCU main device with base ESP-8266. To support energy independence, this system uses a battery with a solar cell that is used to recharge the battery. Traffic Light on this system is APPIL traffic light system that has been installed as a traffic control tool.
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Fig. 4. Smart Traffic Controller System
Smart Traffic Controller Fig 3 is a hardware device used to control Traffic Light. This system consists of Controller Chip based on ESP8266 which has the function to read Realtime Database Firebase data using internet. The system is equipped with speakers used to play sound when there is a vehicle with a High Priority Vehicle crossing the traffic light. Voice mail files are stored in memory cards. The output is in the form of 12 output lines that functioned as input Traffic Light at the time of simulation.
E. High Priority Vehicle
Smart Traffic Light can be according to the rules of law requiring the system to apply High Priority Vehicles on App Engine. High Priority Vehicles are the implementation of regulation no 22 of 2009 which give priority of certain vehicles when passing on the road including at the intersection. The algorithm used to determine the most prioritized vehicles passes in the same location was the Analitycal Hyrarchy Process base. The determination of the value of High Priority Vahicles refers to the Journal written by [10] by introducing High Priority Vehicles (HPV) using 4 parameters while in this study three pieces were used, namely: 1. The type of vehicle is a sequence of priority passing
vehicle users grouped in three types (Fire extinguisher, ambulance and vehicles with special interests)
2. The minimum distance is the calculation between the vehicle and the traffic light
3. Traffic Density Level
III. IMPLEMENTATION OF WORKING
A. Smart Traffic Application
Smart Traffic Application is developed using android studio software and Java programming language. The Smart Traffic application has the following features:
• Cloud Database (Firebase) • SignUp and Login • Location Determination by using GPS • Loading Referral Hospital List for Locations • Selecting a Destination Location using the map • Displaying the Route of vehicle travel • Displaying the level of Road density • Location determination of Smart Traffic Light
System
Fig. 5. Smart Traffic Application Authentication
Smart Traffic Application has a service for user account registrar. It aims at facilitating the addition of application users. Smart Traffic Application users should always be connected to the internet because user location updates will always be sent to the Firebase. When the Smart Traffic application is first opened, the user is prompted to enter a login username and password. All Smart Traffic Application users can use the same application simultaneously on the same or different Smart Traffic Light location.
Using the GP in the Smartphone Application will send the vehicle location update data to the Firebase using an internet connection such as a journal written by [8] that mentions that Science Cloud for IOT that we can use servers accommodating calculations on the Internet of Things system. Smart Traffic Application utilizes Google Map API V2 [11] to access digital maps, route searches, distance calculations, Smart Traffic System Location search and Traffic Level Traffic. This application is able to be used jointly by other users with unlimited amount.
B. mBaaS
Realtime Database Firebase Services are as Cloud data storage base for the communication bridging Smart Traffic Controller with Smart Traffic Application. Realtime databases on firebase have data structures in the JSON format (Java Script Object Notation) shown in bottom. The data which are saved include: user profile, traffic light location, Hospital location and Trip Log Request. Each location of traffic light that is added in the database is added with the detailed data about the traffic light. The stored data include name, location, coordinates, number of lights, detailed condition of each lamp direction, lamp flame condition, status request, emergency state, voice control and also activation threshold reference distance.
C. Traffic Light on Route Vehicle
Smart Traffic Light System has stored all coordinates of the traffic light location. The system will identify the path as well as the amount of traffic light that the vehicle will pass. The best route search takes the Google Maps V2 digital map. Once the route is obtained, it will be followed
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by searching the location of traffic light that has been inputted in the database.
Smart Traffic Application continues to update user position and distance with the nearest traffic light. The calculation of the distance between two coordinates of longitude and latitude is calculated using the Harversine formula [13].
d is the distance between two point with longitude and
latitude and r is the radius of earth
Fig. 6 Smart Traffic Application Route
Fig. 7 Smart Traffic Application Route
High Priority Vehicles algorithm on this system is used to determine the path priority which will cross first. The distance between the vehicle and the nearest traffic light will be shown on the following icon of the nearest Traffic Light when the application is used in emergency conditions as shown in Fig-6. Several meters before the vehicle crossing, the green light signals will be generated on the same line with the vehicle in an emergency so that the path accumulation on the path no longer exists.
D. Internet of Things
The Internet of Things Principle on Smart Traffic Controllers uses NodeMCU (ESP8266-12E) devices. NodeMCU has the facility to communicate with other devices by using wireless 802.11 that is able to communicate utilize port 43 (https) so that it makes the communication with Cloud Server becomes more secure. NodeMCU when communicating with mBaaS uses Authentication Key. The Database in Real Time Database with JSON format is translated directly in NodeMCU before send signal control to the actual Traffic Light.
E. Data Delivery Speed
Smart Traffic Application and Smart Traffic Controller communicate using internet network. The level of signal stability and internet speed depends on location and internet service provider. Table-1 is the test results of speed data transmission from the application and is received by the hardware Smart Traffic Light. The test of data transmission is done 10 times. Testing is done by utilizing manual configuration form that has been integrated in the application Fig-8. The calculation of time from the change in application happens until the data are received by Smart Traffic Controller. Data were obtained for each direction for north light traffic data with an average of 3,702 seconds, for the average speed of the eastern acceptance of 2.968 seconds, for the average speed of traffic data of the southern light is 1.857 and the last average speed of traffic reception Light west is 5.07 seconds. The fastest time of data transmission is 1.2 seconds and the longest time is 8.15 seconds. The average data transmission speed is 3.39 seconds.
Fig. 8. The Data Delivery Speed Test
Table 1 Speed of data transmission
Test Data Data Delivery Time (s)
North East South West Data 1 8.15 2.39 3.09 4.03 Data 2 4.05 2.3 1.35 4.75 Data 3 3.05 1.64 1.94 3.1 Data 4 3.53 2.41 1.87 2.39 Data 5 4.29 5.38 1.55 6 Data 6 2.08 3.28 1.36 13 Data 7 2.29 4.05 2.27 5
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Data 8 3.26 2.35 1.2 3.27 Data 9 2.62 2.92 2.09 6.16 Data 10 3.70 2.96 1.85 3 Average 3.702 2.968 1.857 5.07
IV. CONCLUSION
In this paper, a solution is proposed to reduce the travel time of the vehicle with special criteria (Fire Department, Ambulance, Special Vehicle) prioritized on the road. The travel time of the vehicle due to being trapped in long queues in traffic light can be reduced with Smart Traffic Light technology. Vehicle users can activate the Smart Traffic Application when in an emergency situation to get to a certain location e.g. ambulance that will take the patient to the hospital. Smart Traffic Application will find the fastest route and identify the Smart Traffic Light location to be traversed. Smart Traffic Light Application will send a location update to mBaaS which will be read by Smart Traffic Controller. Smart Traffic Controller will send commands to Traffic Light to provide green light signals before the vehicle passes on the same line. Smart Traffic Light can be used together for the same location or different location.
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