PROCEEDINGS -...

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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)

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

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paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA

01923. For reprint or republication permission, email to IEEE Copyrights

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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


Machmud Effendy, Universitas


Fauzi Sumadi, Universitas


Christian Sri Kusuma Aditya,

Universitas Muhammadiyah

Malang, Indonesia

General Co-Chair Zulfatman, Universitas


Anton Yudhana, Universitas Ahmad


Publication Chairs Munawar A. Riyadi, Universitas


Balza Achmad, Universitas Gadjah

Mada, Yogyakarta, Indonesia

Yuda Munarko, Universitas


Wahyu A. Kusuma, Universitas


Publicity Chairs Imam Much Ibnu Subroto,

Universitas Islam Sultan Agung,

Semarang, Indonesia

Maskur, Universitas


Son Ali Akbar, Universitas Ahmad


Sam F. Chaerul, Universitas Islam

Sultan Agung, Semarang, Indonesia

Ahmad Heryanto, Universitas


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Public Relations Chairs Aina Musdholifah, Universitas

Gadjah Mada, Yogyakarta,

Indonesia

Amrul Faruq, Universitas


Reza Firsandaya Malik, Universitas


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


Balza Achmad, Universitas Gadjah

Mada, Yogyakarta, Indonesia

Deris Stiawan, Universitas


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


M. Irfan,Universitas


Galih Wasis Wicaksono, Universitas


Lailatul Husniah, Universitas


Ilham Pakaya, Universitas


Novendra Setiawan, Universitas


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

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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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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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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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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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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

T6-5 : Automate Snort Rule For Xss Detection With Honeypot

T6-6 : Substrate Integrated Waveguide Bandpass Filter with Complementary Split

Ring Resonator at 2.45 GHz

T6-7 : UUID Beacon Advertisements For Lecture Schedule Information

T6-8 : Comparative Performance Analysis of Linear Precoding in Downlink Multi-

user MIMO

T6-9 : Application of LoRa WAN Sensor and IoT for Environmental Monitoring in

Riau Province Indonesia

T6-10 : Co-channel Interference Monitoring based on Cognitive Radio Node Station

T6-11 : Simulation of Mobile LoRa Gateway for Smart Electricity Meter

T6-12 : Rain Attenuation Statistics over 5G Millimetre Wave Links in Malaysia

TRACK-7 : Robotics, Control and Automation

T7-1 : Fuzzy Logic Controller Design for Leader-Follower Robot Navigation

T7-2 : Arm Robot Manipulator Design and Control for Trajectory Tracking; a

Review

T7-3 : Vibration Control of Magnetorheological Elastomer Beam Sandwich

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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 [email protected]

Bekti Wulandari Department of Electronics and



Eko Marpanaji Department of Electronics and



Umi Rochayati Department of Electronics and



Satriyo Agung Dewanto Department of Electronics and



Nur Hasanah Department of Electronics and



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

978-1-5386-8402-3/18/$31.00 ©2018 IEEE

Proc. EECSI 2018, Malang, Indonesia, 16-18 October 2018

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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.

REFERENCES

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[2] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Futur. Gener. Comput. Syst., vol. 29, no. 7, pp. 1645–1660, 2013.

[3] B. J. Saradha, G. Vijayshri, and T. Subha, “Intelligent traffic signal control system for ambulance using RFID and cloud,” 2017 2nd Int. Conf. Comput. Commun. Technol., pp. 90–96, 2017.

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[5] N. Singh, “Study of Google Firebase API for Android,” Int. J. Innov. Res. Comput. Commun. Eng., vol. 4, no. 9, pp. 16738–16743, 2016.

[6] Firebase, “Firebase Realtime Database | Firebase,” April 13, 2017. [Online]. Available: https://firebase.google.com/docs/database/.

[7] A. Menon and R. Sinha2, “IMPLEMENTATION OF INTERNET OF THINGS IN BUS TRANSPORT SYSTEM OF SINGAPORE,” Asian J. Eng. Res., vol. I, no. 4, pp. 8–17, 2013.

[8] B. B. P. Rao, P. Saluia, N. Sharma, a Mittal, and S. V Sharma, “Cloud computing for Internet of Things & sensing based applications,” Sens. Technol. (ICST), 2012 Sixth Int. Conf., pp. 374–380, 2012.

[9] E. Marpanaji and M. Izzuddinmahali, “Internet of Things for Survey of Renewable Energy Potential ( SREP ) as the Basis for Hybrid Power Plant Development,” vol. 06003, p. 6003, 2016.

[10] D. Dang, J. Tanwar, and S. Masood, “A Smart Traffic Solution for High Priority Vehicles,” in 2015 1st International Conference on Next Generation Computing Technologies (NGCT-2015) Dehradun, India, 4-5 September 2015, 2015, no. September, pp. 467–470.

[11] G. Developers, “Google Maps Android API | Google Developers,” Google Developers, 2015. [Online]. Available: https://developers.google.com/maps/documentation/android-api/.

[12] R. Davies, “The Internet of Things The Internet of Things,” no. May, p. 6, 2015.

[13] N. Chopde and M. Nichat, “Landmark Based Shortest Path Detection by Using A* and Haversine Formula,” GH Raisoni Coll. Eng. …, 2013.


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