Smart Greetthings - Undip PAK Repository

LEMBARHASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW

KARYA ILMIAH : PROSIDING

Judul Karya Ilmiah : Smart Greetthings: Smart Greenhouse Based on Internet of Things for EnvironmentalEngineering

Jumlah Penulis : 6 orang (Aghus Sofwan, Sumardi, Alif Ihza Ahmada, Ibrahim, Kustopo Budiraharjo,Karno)

Status Pengusul : Penulis Ke-1Identitas Prosiding : a. Judul Prosiding : International Conference on Smart

Technology and Applications (ICoSTA) 2020b. ISBN/ISSN : 978-172813083-5c. Thn Terbit, Tempat Pelaks. : 2020, Surabaya, Indonesiad. Penerbit/Organiser : IEEE Xplore digital librarye. Alamat Repository/Web : https://ieeexplore.ieee.org/document/9079264

Alamat Artikel : https://doc-pak.undip.ac.id/7677/1/ICoSTA48221.2020.1570614124.pdf

f. Terindeks di (jika ada) : Scopus

Kategori Publikasi Makalah : √ Prosiding Forum Ilmiah Internasional(beri pada kategori yang tepat) Prosiding Forum Ilmiah Nasional

Hasil Penilaian Peer Review :

KomponenYang Dinilai

Nilai Reviewer

Nilai Rata-rataReviewer I Reviewer II

a. Kelengkapan unsur isi prosiding (10%) 2,00 2,50 2,25b. Ruang lingkup dan kedalaman pembahasan (30%) 7,00 7,00 7,00c. Kecukupan dan kemutahiran data/informasi dan

metodologi (30%)7,00 7,00 7,00

d. Kelengkapan unsur dan kualitas terbitan/prosiding(30%) 7,00 7,50 7,25Total = (100%) 23,00 24,00 23,50

Nilai Pengusul = (60% x 23,50) = 14,10

Semarang,

Reviewer 2

Dr. Wahyudi, S.T., M.T.NIP. 196906121994031001Unit Kerja : Teknik Elektro FT UNDIP

Reviewer 1

Dr. Eng. Wahyul Amien Syafei, ST, MTNIP. 197112181995121001Unit Kerja : Teknik Elektro FT UNDIP












Nilai Maksimal Prosiding Nilai AkhirYang

DiperolehInternasional

Nasional

a. Kelengkapan unsur isi prosiding (10%) 2,50 2,00b. Ruang lingkup dan kedalaman pembahasan

(30%)7,50 7,00

c. Kecukupan dan kemutahiran data/informasi danmetodologi (30%)

7,50 7,00

d. Kelengkapan unsur dan kualitasterbitan/prosiding(30%)

7,50 7,00

Total = (100%) 25,00 23,00Nilai Pengusul = (60% x 23,00) = 13,80

Catatan Penilaian Paper oleh Reviewer :1. Kesesuaian dan kelengkapan unsur isi paper: Makalah telah memenuhi unsur isi paper dalam sebuah prosiding

yang terdiri abstract, introduction, the architecture of proposed system yang berisi desain, results and discussions,dan conclusion, serta dilengkapi references. (Nilai= 2)

2. Ruang lingkup dan kedalaman pembahasan: Ruang lingkup makalah adalah pemanfaatan IoT untuk rekayasalingkungan pada sebuah greenhouse. Rancangan hardware dan software dalam arsitektur IoT dipaparkan cukupmendalam. (Nilai= 7)

3. Kecukupan dan kemutakhiran data/informasi dan metodologi: Makalah mempunyai 11 referensi mutahir yangsemuanya di bawah 5 tahun terakhir saat makalah dibuat dan dipaparkan dalam international conference. (Nilai= 7)

4. Kelengkapan unsur dan kualitas terbitan: Makalah sudah memenuhi unsur kelengkapan pada prosiding yangterindeks di IEEExplore dan Scopus. (Nilai= 7)

Semarang,Reviewer 1

Dr. Eng. Wahyul Amien Syafei, ST, MTNIP. 197112181995121001Unit Kerja : Teknik Elektro FT UNDIP

25












Nilai Maksimal Prosiding Nilai AkhirYang

DiperolehInternasional

Nasional

a. Kelengkapan unsur isi prosiding (10%) 2,50 2,50b. Ruang lingkup dan kedalaman pembahasan

(30%)7,50 7,00

c. Kecukupan dan kemutahiran data/informasi danmetodologi (30%)

7,50 7,00

d. Kelengkapan unsur dan kualitasterbitan/prosiding(30%)

7,50 7,50

Total = (100%) 25,00 24,00Nilai Pengusul = (60% x 24,00) = 14,40

Catatan Penilaian Paper oleh Reviewer :a) Kesesuaian dan kelengkapan unsur isi paper: Makalah berisi unsur-unsur pendahuluan, arsitektur dari sistem yang dibuat,

hasil testing sistem, kesimpulan serta terdapat daftar pustaka

b) Ruang lingkup dan kedalaman pembahasan: Ruang lingkup pembahasan cukup mendalam terkait yang menjadi pokokbahasan yang berisi desain rangkaian perangkat keras/lunak hingga hasil pengujian sistem yang dibuat. Tidak ada referensi yangdiacu dalam pembahasan hasil dan diskusi.

c) Kecukupan dan kemutakhiran data/informasi dan metodologi: Topik IoT dan dan protokol MQTT pada paper ini didukungdengan referensi yang mutahir kurang dari 10 tahun. Metoda yang dilakukan dipaparkan dengan jelas dan terstruktur dalammakalah.

d) Kelengkapan unsur dan kualitas terbitan: Unsur pembahasan lengkap, kualitas terbitan baik, dipresentasikan pada konferensiinternasional ICOSTA 2020 (terindeks di IEEExplore dan Scopus)

Semarang,Reviewer 2

Dr. Wahyudi, S.T., M.T.NIP. 196906121994031001Unit Kerja : Teknik Elektro FT UNDIP

25

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Proceeding - ICoSTA ��: �� International Conference on Smart Technology and Applications: Empowering Industrial IoT by

Implementing Green Technology for Sustainable Development • February �� • Article number �� • �� International

Conference on Smart Technology and Applications, ICoSTA ��, Surabaya, �� February �� - null, ��

Smart Greetthings: Smart Greenhouse Based on

Internet of Things for Environmental Engineering

Sofwan A. , Sumardi S. , Ahmada A.I. , Ibrahim I. , Budiraharjo K. , Karno K.

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a a a a b c

Diponegoro University, Department of Electrical Engineering, Semarang, Indonesia

Diponegoro University, Department of Agribusiness, Semarang, Indonesia

Diponegoro University, Department of Agroecotechnology, Semarang, Indonesia

a

b

c

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Abstract

A greenhouse aims to provide optimum light and protect plants from the adverse climate which

delivers an optimum environment for plant growth. A smart greenhouse is built with capability in

Cited by 1 document

, ,

(2021) ACM InternationalConference Proceeding Series

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environment manipulation. The smart device is installed in the greenhouse consists of many sensors,

which measures environment parameters, such as temperature and air humidity. One of the

environmental key parameters is temperature. The device uses this parameter to provide proper

temperature for plant growth. The measured data is sent to the data server by utilizing the Message

Queuing Telemetry Transport (MQTT) protocol through the Internet of Things (IoT) architecture. The

smart device has succeeded in measuring parameters and performed environmental engineering. The

temperature and air humidity sensors have average error measurements with values of 0.9 degrees

Celsius and 7.22 percentage. Moreover, the device has been successful in transmitting the measured

data by using the MQTT protocol. © 2020 IEEE.

Author keywords

environmental engineering; greenhouse; Internet of Things; MQTT; sensors

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References (11)

Siddiqui, F., Beley, J., Zeadally, S., Braught, G. Secure and lightweight communication in heterogeneous IoT environments (2019) Internet of Things, p. 100093. . 09/07/2019

Čolaković, A., Hadžialić, M.

(2018) Computer Networks, 144, pp. 17-39. .

doi: 10.1016/j.comnet.2018.07.017

Guha Roy, D., Mahato, B., De, D., Buyya, R.

(2018) Future Generation Computer Systems, 89, pp. 300-316.

. doi: 10.1016/j.future.2018.06.040

▻View in search results format

All

Export Print E-mail Save to PDF Create bibliography

1

Cited 6 times

2

Internet of Things (IoT): A review of enabling technologies,challenges, and open research issues

Cited 230 timeshttp://www.journals.elsevier.com/computer-networks/

View at Publisher

3

Application-aware end-to-end delay and message lossestimation in Internet of Things (IoT) — MQTT-SN protocols

Cited 27times

View at Publisher

▻Authors ▻Keywords

https://www.scopus.com/search/submit/references.uri?sort=plf-f&src=r&imp=t&sid=8c05ac4d50821e2e2cebde62360d0f58&sot=rec&sdt=citedreferences&sl=23&s=EID%282-s2.0-85084982955%29&origin=recordpage&citeCnt=1&citingId=2-s2.0-85084982955

https://www.scopus.com/search/submit/citedby.uri?eid=2-s2.0-85084982955&refeid=2-s2.0-85085034355&src=s&origin=reflist&refstat=dummy

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https://www.scopus.com/search/submit/citedby.uri?eid=2-s2.0-85084982955&refeid=2-s2.0-85050727862&src=s&origin=reflist&refstat=core

http://www.journals.elsevier.com/computer-networks/

https://www.scopus.com/redirect/linking.uri?targetURL=https%3a%2f%2fdoi.org%2f10.1016%2fj.comnet.2018.07.017&locationID=3&categoryID=4&eid=2-s2.0-85050727862&issn=13891286&linkType=ViewAtPublisher&year=2018&origin=reflist&dig=c5429ded2090e3bb0803e42890ac8329



https://www.scopus.com/redirect/linking.uri?targetURL=https%3a%2f%2fdoi.org%2f10.1016%2fj.future.2018.06.040&locationID=3&categoryID=4&eid=2-s2.0-85049466761&issn=0167739X&linkType=ViewAtPublisher&year=2018&origin=reflist&dig=fbfb9fc9674da0163681bc3611ea22dd

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Heidari, M., Khodadadi, H.

(2017) ICAC 2017 - 2017 23rd IEEE International Conference on Automationand Computing: Addressing Global Challenges through Automation andComputing, art. no. 8082074. . ISBN: 978-070170261-8 doi: 10.23919/IConAC.2017.8082074

Dan, L., Jianmei, S., Yang, Y., Jianqiu, X.

(2016) Proceedings - 2016 International Conference on IntelligentTransportation, Big Data and Smart City, ICITBS 2016, art. no. 8047228, pp.580-583. . ISBN: 978-150906061-0 doi: 10.1109/ICITBS.2016.19

Sofwan, A., Sumardi, Ridho, M., Goni, A., Najib

(Open Access) (2017) Proceedings - 2017 4th International Conference on InformationTechnology, Computer, and Electrical Engineering, ICITACEE 2017, 2018-January, pp. 280-283. . ISBN: 978-153863946-7 doi: 10.1109/ICITACEE.2017.8257718

Sofwan, A., Hariyanto, M.S., Hidayatno, A., Handoyo, E., Arfan, M., Somantri,M.

(2018) Proceedings - 2018 2nd International Conference on ElectricalEngineering and Informatics: Toward the Most Efficient Way of Making andDealing with Future Electrical Power System and Big Data Analysis, ICon EEI2018, art. no. 8784334, pp. 7-11.

ISBN: 978-153866000-3 doi: 10.1109/ICon-EEI.2018.8784334

Sofwan, A., Surur, F.A., Arfan, M., Handoyo, E., Yosua Alvin, A.S., Somantri,M., Enda, W.S.

(2018) 2018 6th International Conference on Information andCommunication Technology, ICoICT 2018, art. no. 8528739, pp. 24-27.

.

ISBN: 978-153864571-0 doi: 10.1109/ICoICT.2018.8528739

4

Climate control of an agricultural greenhouse by using fuzzylogic self-tuning PID approach

Cited 7 times

View at Publisher

5

Precise agricultural greenhouses based on the IoT and fuzzycontrol

Cited 10 times

View at Publisher

6

Wireless sensor network design for landslide warning systemin IoT architecture

Cited 16 times

View at Publisher

7

Design of smart open parking using background subtractionin the IoT architecture

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8776859

View at Publisher

8

Implementation of vehicle traffic analysis using backgroundsubtraction in the Internet of Things (IoT) architecture

Cited5 timeshttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8509820

View at Publisher



https://www.scopus.com/redirect/linking.uri?targetURL=https%3a%2f%2fdoi.org%2f10.23919%2fIConAC.2017.8082074&locationID=3&categoryID=4&eid=2-s2.0-85039983456&issn=&linkType=ViewAtPublisher&year=2017&origin=reflist&dig=e60ac564cd43297c8799a10cc1e575bd



https://www.scopus.com/redirect/linking.uri?targetURL=https%3a%2f%2fdoi.org%2f10.1109%2fICITBS.2016.19&locationID=3&categoryID=4&eid=2-s2.0-85032797651&issn=&linkType=ViewAtPublisher&year=2016&origin=reflist&dig=10f010a6c679b8f710e4e35be798de61



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https://www.scopus.com/redirect/linking.uri?targetURL=https%3a%2f%2fdoi.org%2f10.1109%2fICon-EEI.2018.8784334&locationID=3&categoryID=4&eid=2-s2.0-85071079229&issn=&linkType=ViewAtPublisher&year=2018&origin=reflist&dig=ea2d601723028a4dab4e4451f5050342




https://www.scopus.com/redirect/linking.uri?targetURL=https%3a%2f%2fdoi.org%2f10.1109%2fICoICT.2018.8528739&locationID=3&categoryID=4&eid=2-s2.0-85058405986&issn=&linkType=ViewAtPublisher&year=2018&origin=reflist&dig=f7271f1ecb596de36df8692018292669

1 of 1

Yi, D., Binwen, F., Xiaoming, K., Qianqian, M.

(2016) Proceedings of 2016 IEEE Advanced Information Management,Communicates, Electronic and Automation Control Conference, IMCEC2016, art. no. 7867503, pp. 1679-1682. . ISBN: 978-146739612-7 doi: 10.1109/IMCEC.2016.7867503

Alqinsi, P., Matheus Edward, I.J., Ismail, N., Darmalaksana, W.

(2018) Proceeding of 2018 4th International Conference on Wireless andTelematics, ICWT 2018, art. no. 8527815. .

ISBN: 978-153866163-5 doi: 10.1109/ICWT.2018.8527815

Tansangwom, N., Pora, W.

(2018) 2018 IEEE International Conference on Consumer Electronics - Asia,ICCE-Asia 2018, art. no. 8552104.

ISBN: 978-153865807-9 doi: 10.1109/ICCE-ASIA.2018.8552104

© Copyright 2020 Elsevier B.V., All rights reserved.

9

Design and implementation of mobile health monitoringsystem based on MQTT protocol

Cited 22 times

View at Publisher

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IoT-Based UPS Monitoring System Using MQTT Protocols

Cited 13 timeshttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8510708

View at Publisher

11

Development of Smart Water Heater Complied with MQTTand ECHONET Lite Protocols


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20 February 2020 Mercure Hotel Surabaya Jl Raya Darmo 68 - 78 60264 SURABAYA

PROCEEDING

2020 International Conference on Smart Technology and Applications (ICoSTA)

IEEE Part Number : CFP20OSW-ART

ISBN : 978-1-7281-3083-5

Empowering Industrial IoT by Implementing Green Technology for Sustainable Development

icosta.ubhara.ac.id

8/24/2021 ICoSTA 2020

https://icosta.ubhara.ac.id/2020#speaker 5/13

Conference TopicsThe theme of this conference is "Empowering Industrial IoT by implementing green technology for sustainable development". Many research topics can becovered due to the Empowering Industrial IoT, which is based on green technology and its contribution to all aspects of the sustainable development such as:Industrial Internet of Thing, Green technology, Sustainable development (innovation), Artificial Intellegence (AI), Smart technology, etc. Topic of interestincludes, but not limited to:

Computer Science and Information Technology

Electrical Electronic Technology

Biomedical Signal and Image Processing & AnalysisComputer and Communication NetworksComputer and Information SecurityComputing AlgorithmsData mining and Big DataDigital ForensicsDigital Signal and Image ProcessingEmbedded SystemForecasting and analysisGame Technology and Game Engineering

Information Systems and ManagementIoT and Ubiquitous ComputingMultimedia Information ProcessingRemote Sensing and GISSoft Computing and Machine LearningTelecommunication, Propagation and NetworkingVision, Graphics, and VisualizationWeb IntelligentWireless Sensor Network and Mobile Communications

Energy, Power Generation and DistributionElectromagnetic and Radio PropagationMicroelectronic Circuits and SystemsElectric Motor and DrivesPower ElectronicsSystem Identification and Control

Mechatronics, Robotics, Cybernetics, Engineering, Manufacturing, and ControlControl Systems and Embedded SystemCircuits, Sensors, and DevicesMobile/Ad Hoc Wireless networks, Mobicast, Sensor Placement, and Target TrackingManufacturing AutomationProcess, Manufacturing, and Control

Keynote Speakers

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8/24/2021 ICoSTA 2020


The invited speakers are experts in the topics related to the theme of the conference "Empowering Industrial IoT by implementing green technology forsustainable development". They come from universities in Thailand, Taiwan, Philippine also Indonesian.

Prof. Dr. Ir. Mochamad Ashari (Institut Teknologi Sepuluh Nopember (ITS) Surabaya, Indonesia)

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8/24/2021 ICoSTA 2020


Prof. Hung Yee Shu (Hung Kuang University of Technology, Taiwan)

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8/24/2021 ICoSTA 2020


Assoc. Prof. Dr.-Ing. Boonyang Plangklang (Rajamangala University of Technology Thanyaburi / RMUTT, Thailand)

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Dr. Angelo A. Beltran Jr. (Adamson University, Philippines)

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Organizing Committee

General Chair

Dr. Rr. Ani Dijah Rahajoe, S.T., M.Cs (Universitas Bhayangkara Surabaya, Indonesia)

General Co-Chair

Rifki Fahrial Zainal, S.T., M.Kom (Universitas Bhayangkara Surabaya, Indonesia)

Technical Program Committee Chair

Dr. Ir. Saidah, M.T (Universitas Bhayangkara Surabaya, Indonesia)

Technical Program Committee Co-Chair

Dr. Bambang Purwahyudi S.T., M.T (Universitas Bhayangkara Surabaya, Indonesia)

Advisory Board

Prof. Wu Xi Ph.D (Chengdu University of Information Technology, China)

Prof. Lin Peng Ph.D (Shantou University, China)

Prof. Dr. D. K. Lobiyal (Jawaharlal Nehru University, India)

Prof. Dr. Taufik (California Polytechnic State University, USA)

Prof. Sun Xingyang (Yangzhou Polytechnic Institute, China)

Prof. Dr. Ir Jazi Eko Istiyanto,M.Sc., IPU,ASEAN Eng (Universitas Gadjah Mada, Indonesia)

Prof. Dra. Sri Hartati, M.Sc.,P.hD (Universitas Gadjah Mada, Indonesia)

Prof. Dr. Ir. Mochamad Ashari, M.Eng. (Institut Teknologi Sepuluh Nopember, Indonesia)

Prof. Dr. Ir. Mauridhi Hery Purnomo, M.Eng. (Institut Teknologi Sepuluh Nopember, Indonesia)

Prof. Ir. H. Ontoseno Penangsang, M.Sc, Ph.D (Institut Teknologi Sepuluh Nopember, Indonesia)

Prof. Dr. Ir. Adi Supriyanto MT (Institut Teknologi Sepuluh Nopember, Indonesia)

Prof. Dr. Ir. Achmad Jazidie, M.Eng (Institut Teknologi Sepuluh Nopember, Indonesia)

Prof. Dr. Yoyon K. Suprapto (Institut Teknologi Sepuluh Nopember, Indonesia)

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vi

Prof. Dr. Gamantyo Hendrantoro (Institut Teknologi Sepuluh Nopember, Indonesia)

Prof. Dr. Ir. Mohammad Nuh, DEA (Institut Teknologi Sepuluh Nopember, Indonesia)

Prof. Dr. Anton Satri Prabuwono (King Abdul Aziz University, Saudi Arabia)

Prof. Dr. Eng. Safarudin (Universitas Hasanuddin, Indonesia)

Prof. Ir. Rukmini Sari Hartati MT., Ph.D (Universitas Udayana, Indonesia)

Prof. Dr. Bambang Riyanto (Institut Teknologi Bandung, Indonesia)

Prof. Dr. Iwa Garniwa (Universitas Indonesia, Indonesia)

Prof. Arif Junaidi (Institut Teknologi Sepuluh Nopember, Indonesia)

Prof. Ida Ayu Giriantari (Universitas Udayana, Indonesia)

Prof. Joko Lianto Buliali Ph.D. (Institut Teknologi Sepuluh Nopember, Indonesia)

Technical Program Committee

Dr. Adhi Dharma Wibawa (Institut Teknologi Sepuluh Nopember, Indonesia)

Dr. Ir. Dian Retnosavitri (Universitas Dian Nuswantoro, Indonesia)

Dr. Ir. Mohamad Haddin (Universitas Islam Sultan Agung, Indonesia)

Dr. Yusron (Universitas Hasanuddin, Indonesia)

Dr. Muhammad Rivai (Institut Teknologi Sepuluh Nopember, Indonesia)

Dr. Ing. MHD. Reza M.I. Pulungan, S.Si.,M.Sc (Universitas Gadjah Mada, Indonesia)

Afiahayati,S.Kom.,M.Cs.,Ph.D (Universitas Gadjah Mada, Indonesia)

Dr. Ahmad Ashari,M.Kom (Universitas Gadjah Mada, Indonesia)

Dr. Drs. Azhari, MT (Universitas Gadjah Mada, Indonesia)

Drs. Agus Harjoko,M.SC.,Ph.D (Universitas Gadjah Mada, Indonesia)

Dr. Suprapto,M.Kom (Universitas Gadjah Mada, Indonesia)

Drs. Edi Winarko,M.Sc.,Ph.D (Universitas Gadjah Mada, Indonesia)

Dr. Yohanes Suyanto,M.I.Kom (Universitas Gadjah Mada, Indonesia)

Dr. Agfianto Eko Putra, M.Si (Universitas Gadjah Mada, Indonesia)

Dr. tech Khabib Mustofa, S.Si., M.Kom (Universitas Gadjah Mada, Indonesia)

Anny Kartika Sari,S.Si., M.Sc., Ph.D (Universitas Gadjah Mada, Indonesia)

Wahyono, S.Kom., Ph.D (Universitas Gadjah Mada, Indonesia)

Drs. Retantyo Wardoyo,M.Sc., Ph.D (Universitas Gadjah Mada, Indonesia)

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xxi

Table of Contents

Title i

Copyright ii

Message From The General Chair iii

Speech From The Rector of University of Bhayangkara Surabaya iv

Organizing Committee v

Parallel Class Schedule vi

Table of Contents xxi

Papers

Parallel Class 1

Improved K-Means Algorithm on Home Industry Data Clustering in the Province of Bangka Belitung

1

Classification of Student Academic Performance using Fuzzy Soft Set 7

Segmentation of Customer Experience of YouTube Streaming Application Users in South Jakarta using K-means Method

13

Comparison of Distance Function to Performance of K-Medoids Algorithm for Clustering

18

A Survey on Multimodal Information Retrieval Approach 24

Improvement of Data Accuracy on Backpropagation Neural Network-based Automatic Control System for Wheeled Robot

30

A Review of Iris Recognition System ROI and Accuracy 35

A Survey on Visualization Techniques to Narrate Interpersonal Interactions between Sportsmen

41

Comparison of SVM and BPNN Methods in The Classification of Batik Patterns Based on Color Histogram And Invariant Moments

47

Parallel Class 2

Performance comparison of wireless protocol IEEE 802.11ax vs IEEE 802.11ac 51

Improving Intrusion Detection System by Estimating Parameters of Random Forest in Boruta

56

Pearson Correlation Attribute Evaluation-based Feature Selection for Intrusion Detection System

62

Port Session Communication Analysis Using Density-Based Clustering For Host Anomaly and Risk Activity Analysis

67

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The QoS Improvement Using CDN for Live Video Streaming with HLS 73

Detecting Features of Middle Size Soccer Field using Omnidirectional Camera for Robot Soccer ERSOW

78

Performance Analysis of Self-Organizing Map Method for Wheeled Robot Control System

84

Development of Localization Technique using Trilateration Algorithm for E-Puck2 Robot

89

Integration of N-GCPSO Algorithm with Spatial Particle Extension Algorithm for Multi-Robot Search

95

Design of Restaurant Billing System (E Bill Resto) by Applying Synchronization of Data Billing in Branch Companies to Main Companies Based on Rest API

99

Paralell Class 3

Automatic Sign of Commencement of Work from Enterprise Resource Planning 104

Improve Smart Waste Management to Preserve Tourist Attractions Yogyakarta in IoT Environment

110

Industry 4.0 strategic alignment framework: Multilevel perspective of digital transition in Indonesia

116

Design of Soil Humidity Monitoring System Using the Internet of Things Concept and MQTT Protocol

122

A Change Management Model for Information Systems Implementation 128

Android Application for Advanced Security System based on Voice Recognition, Biometric Authentication, and Internet of Things

134

The Combination of Analytical Hierarchy Process and Simple Multi-Attribute Rating Technique for The Selection of The Best Lecturer

140

Development of Automatic Plant Irrigation System using Soil Moisture Sensors for Precision Agriculture of Chili

145

Feature Selection Based on Modified Harmony Search Algorithm 149

Parallel Class 4

Design and Implementation of an Emergency Datacasting System Using 2-meter Amateur Radio Band

156

Design of Wireless Electromyography (EMG) Monitoring System for Muscle Activity Detection on Parkinson Disease

161

Characterization of Magnetic Induction Coil Sensor for Void Detection in Steel Plate

165

Multiband Microstrip Antenna Design for Radio Frequency Identification (RFID) Application

170

xxiii

Theta, Alpha and Beta Activity in the Occipital Based on EEG Signals for Mental Fatigue in High School Students

175

The Effect of Harmonics on Purification Scheduling of Transformer Oil Insulation to Restrain The Degradation Rate

182

An HF Digital Communication System Based on Software-Defined Radio 186

Capacity Analysis for Hybrid Beamforming MIMO Channel using Discrete Cosine Transform and Antenna Selection

191

Solar Energy Monitoring System Design Using Radio Frequency For Remote Areas

195

Parallel Class 5

Analysis of Short Circuit on Four Types Wind Power Plants as Distributed Generation

201

Power Quality Enhancement on Hybrid Power Plants Using Shunt Passive Power Filter and Detuned Reactor

206

Load Factor Improvement on Daily Load Curve Using Pump Storage to Saving Production Cost

212

Analysis of Power Transactions on the Integrated Solar Home System 218

Analysis and Design Implementation of Modulator π/4 - Differential Quadrature Phase Shift Keying Low Power Based on FPGA

223

Fault Tolerant Control for Speed Sensorless of DC Motor 229

Power Transfer Analysis Using UPQC-PV System Under Sag and Interruption With Variable Irradiance

234

Fault-Tolerant Control Strategy Based on Reliability and Cost Analysis in Heat Recovery Steam Generator Plant

241

Design Of One Phase Inverter 250 Watt Third Harmonic Pulse Width Modulation Method In Mini-Grid Photovoltaic

247

Parallel Class 6

Data Quality Measures and Data Cleaning for Pattern Analysis Angkot Transportation in Bandung City

253

Design and Implementation of IoT-Based Smart Home Voice Commands for disabled people using Google Assistant

260

Smart Greetthings: Smart Greenhouse Based on Internet of Things for Environmental Engineering

266

Decentralized Tourism Destinations Rating System Using 6AsTD Framework and Blockchain

271

A Fuzzy Servqual Method for Evaluated Umrah Service Quality 277

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Analysis the Issue of Increasing National Health Insurance (BPJS Kesehatan) Rates through Community Perspectives on Social Media: A Case Study of Drone Emprit

283

Analysis of Malang City Readiness in Realizing Smart Tourism with New Integrated E-Readiness Model

290

IoT Based: Improving Control System For High-Quality Beef in Supermarkets 296

Design of Portable Galvanic Skin Response Sensor for Pain Sensor 301

Parallel Class 7

Prediction of Bitcoin Price Change using Neural Networks 306

Generalized Regression Neural Network For Long-Term Electricity Load Forecasting

310

Resource Optimization in Heterogeneous Networks Using Discrete Firefly Algorithm

315

A Review on Question Analysis, Document Retrieval and Answer Extraction Method in Question Answering System

320

Design of Control Algorithm for Monitoring System and Bridge Control Based on Internet of Things (IoT)

325

Optimization of DG Placement and size using PSO based on GUI 331

Natural Tele-manipulation for Robot Movement based on Motion Pattern of Arm Posture

337

Fault Classification of Induction Motor Using Discrete Wavelet Transform and Fuzzy Inference System

341

Faults Identification of Induction Motor Based on Vibration Using Backpropagation Neural Network

347

Acknowledgement to Reviewers 352

Authors Index 353

XXX-X-XXXX-XXXX-X/XX/$XX.00 ©20XX IEEE

Smart Greetthings: Smart Greenhouse Based on Internet of Things for Environmental Engineering

1st Aghus Sofwan Department of Electrical Engineering

Diponegoro University Semarang, Indonesia

[email protected]

4th Ibrahim Department of Electrical Engineering


[email protected]

2nd Sumardi Department of Electrical Engineering


[email protected]

5th Kustopo Budiraharjo Department of Agribusiness


[email protected]

3rd Alif Ihza Ahmada Department of Electrical Engineering


[email protected]

6th Karno Department of Agroecotechnology


[email protected]

Abstract— A greenhouse aims to provide optimum light and protect plants from the adverse climate which delivers an optimum environment for plant growth. A smart greenhouse is built with capability in environment manipulation. The smart device is installed in the greenhouse consists of many sensors, which measures environment parameters, such as temperature and air humidity. One of the environmental key parameters is temperature. The device uses this parameter to provide proper temperature for plant growth. The measured data is sent to the data server by utilizing the Message Queuing Telemetry Transport (MQTT) protocol through the Internet of Things (IoT) architecture. The smart device has succeeded in measuring parameters and performed environmental engineering. The temperature and air humidity sensors have average error measurements with values of 0.9 degrees Celsius and 7.22 percentage. Moreover, the device has been successful in transmitting the measured data by using the MQTT protocol.

Keywords— Internet of Things, sensors, greenhouse, environmental engineering, MQTT

I. INTRODUCTION

Indonesia is an agricultural country that produces agriculture for domestic and foreign consumptions. One technology for this agricultural production is greenhouse technology. It can maintain environmental factors that increase plant growth, such as temperature, sunlight, soil moisture, and air humidity, by following with the needs that are compensated at an optimal level. Information and communication technology continuously evolves, especially technology-based on the Internet of Things (IoT) [1]. One of the implementations of IoT in agriculture is a smart greenhouse. A greenhouse is a building that is framed or formed bubbly, covered with a transparent or translucent material that can continue the optimum light for production and protect plants from adverse climatic conditions for plant growth. With smart technology, we aim to improve the control of critical parameters in a greenhouse in an efficient manner with or less human interaction. Temperature is one of the critical parameters in the greenhouse that significantly affects plant growth. It will be controlled by using a microcontroller in order to environmental engineering that provides a proper temperature of the growth. Furthermore, the concept of a smart greenhouse is the integration of greenhouse environment data, which is obtained from sensors, connected to the database through IoT architecture [2]. Data of

parameters and controller is sent to the data server in Internet cloud by applying lightweight protocol of IoT, i.e., Message Queuing Telemetry Transport (MQTT) [3]. By utilization of Android smartphones, whether using an application or web browser, we can obtain many features such as reporting, input updates, and controllers can be accessed in real-time from anywhere using the Internet.

Much researches on greenhouse environment controlling have been conducted. In [4], the authors construct a controller that controls a small scale greenhouse. The controller manages some inputs and outputs of the temperature and humidity of the greenhouse in predetermined ranges. It applies fuzzy logic self-tuning PID. The authors model the greenhouse by utilizing MATLAB system toolbox. They deployed the controlled greenhouse locally, without remote application. In [5], the authors design an environmental manipulation of the greenhouse with a controller which optimizes the condition of plant cultivation. They implement ZigBee protocol communication in order to obtain a controlled greenhouse environment from adjacent sensors node. Meanwhile, there are numerous researches in IoT technology for many fields, such as in [6-11]. In [6], the authors proposed a wireless sensor network with IoT technology for a landslide warning system. They implement machine to machine communication, between node sensor to a database server, without human interaction. Data from sensors are sent through an internet connection using 3G/4G gateway. In [7] and [8], the authors designed a vehicle traffic analysis in IoT architecture. The designed system transmits analysis data from a camera node through an internet connection into a database server. In [9], the authors designed a system for mobile health monitoring using internet communication. They implemented sensor devices for measuring pulse, body temperature, and ECG signals. The measurement data then sent to the database server use the MQTT protocol. They use applications with a mobile device, which receives data from the database also by utilizing the MQTT protocol. In [10], the authors used the MQTT for system monitoring of uninterruptible power supply (UPS) in an extensive infrastructure. The MQTT is used due to a small size protocol in IoT-based communication. In [11], the authors developed a smart heater that applies the MQTT protocol. A water heater node sends its temperature, power consumption, and its status to cloud platforms by using the MQTT protocol.


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Design and Implementation of an Emergency Datacasting System Using 2-meter Amateur Radio

Band

1st Angelo Beltran Jr. Department of Electronics Engineering

Adamson University Philippines

4th Kimiko Cuerdo Department of Electronics Engineering


2nd Gerhard Tan Department of Technology Strategy

Globe Telecom Inc. Philippines

5th Aldrin Valdez Department of Electronics Engineering


3rd Sean Yves Castriciones Department of Electronics Engineering


6th Jett Jevin Vega Department of Electronics Engineering


Abstract—Even in new decades, modern communication technology is still affected by natural and man-made disasters, which threatens people’s lives and make the internet or mobile phone networks unavailable for use. The Design and Implementation of an Emergency Datacasting System using the 2-meter Amateur Radio Band prototype consisting of microcontrollers and walkie talkies operating on the 2-meter amateur radio band of 144-148 MHz. It is used to enable a two-way communication system, even without cellular service and internet, between the community, barangays, public service groups and local/national government agencies related to disaster response. With this, responding to the victims of calamities most especially to areas or communities that has no service, will be easier and faster. Once the system was on, radio transceivers in each base station communicate with each other. Wi-Fi enabled device detects and connects to an access point provided by the microprocessor, which could let 255 devices connect. When connected, it will be redirected to a specific IP address where they can send/receive private or emergency messages to and from users and admin. Users from different base stations meet at a common webpage. Microcontroller serves as the modem, which encodes and decodes the information to and from audio frequency signals, respectively. It is fed to the walkie-talkie to transmit/receive tones. Using a statistics method, the device is said to be 100 percent accurate through several tests receiving the same message without any errors, 97.6 percent reliable in the time, spanning at 8 hours through its transfer time and having an internal consistency of ‘Good’ for the user-friendliness of the webpage interface. The device improves existing datacasting systems since it does not depend on mobile networks, and it commonly uses a one way, not the two-way distribution of information.

Keywords—emergency communication, disaster response, datacasting, 2-meter amateur radio band, wireless fidelity, two-way communication

I. INTRODUCTION

The Philippines has suffered from a vast number of typhoons, cyclones, volcano eruptions, earthquakes and other natural disasters due to its location along the ring of fire. Annually, approximately 19 typhoons enter the Philippine region and 6-9 make landfall, according to Joint Typhoon Warning Center. The Philippines in 2013 was hit by typhoon Yolanda (Haiyan), one of the strongest typhoons to make landfall ever recorded in the world’s history, large area of provinces in the eastern part of the country has been

devastated, some towns were left in ruins and almost wiped out. Individuals outside the typhoon’s path depended on irregular television newsfeeds by media people on the ground, who were themselves stranded and incapable of using mobile services. For several days, survivors could not reach the government for help or get their message thru loved ones in other areas to tell them that they were alive and needed help. Numerous provinces in Central Philippines, specifically in the Visayas region, the communication was completely lost. Smart telecommunications, Sun cellular, and Globe Telecom’s 2G and 3G networks went down due to disrupted power and damaged cellular infrastructures. The whole region became practically isolated. To the public’s surprise, mobile communication systems that were supposed to be very reliable in terms of emergencies were completely wiped out in many circumstances. In a country where cellphones are everywhere and the necessity for the SMS has become part of the Filipino psyche, one could only imagine how it is like for the survivors, relief operator and the government to be cut off when communication is mostly needed [2]-[4]. Likewise, amateur radios worked effectively during disasters and emergencies. It is the most feasible method of exchanging data and information used as a means of emergency communication in the wireline, cell phones, and other standard means of communication failure [3]. According to the Philippine Amateur Radio Association (PARA), amateur radio is the only way to communicate from affected areas for several days after a disaster [1], [5]-[6]. One of the most immediate and major impacts of manmade and natural disasters is the unexpected and wide-scale breakdown or interruption of communication networks. When public communication networks fail, the effect can be widely felt and have the capability to wipe out access to all of the mobile, landline telecommunications, and even internet access for all of the emergency communication electronic devices. Whether these systems are totally or just partially knocked offline, the absence of communications systems during a natural disaster can be the difference between life and death as it affects the fast exchange of information crucial in disaster response and recovery. Finding people who may be trapped or injured becomes nearly impossible for emergency first responders, and rescue efforts are further complicated by the incapability to coordinate through the normal methods of communication [7]-[8].


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Classification of Student Academic Performance using Fuzzy Soft Set

1st Iwan Tri Riyadi Yanto Departement of Information System

Universitas Ahmad Dahlan Yogyakarta, Indonesia [email protected]

4th Rahmat Hidayat Department of Information Technology

Politeknik Negeri Padang Padang, Indonesia [email protected]

2nd Edi Sutoyo Departement of Information System

Telkom University Bandung, Indonesia

[email protected]

5th Azizul Azhar Ramli Faculty of Computer and Information Technology, Universiti Tun Hussein

Onn Malaysia, Malaysia [email protected]

3rd Arif Rahman Departement of Information System

Universitas Ahmad Dahlan Yogyakarta, Indonesia [email protected]

6th Mohd Farhan Md. Fudzee Faculty of Computer and Information Technology, Universiti Tun Hussein

Onn Malaysia, Malaysia [email protected]

Abstract—Students are one of the substances that need to be considered in relation to the world of education, because students are translators of the dynamics of science, and carry out the task of exploring that knowledge. As a subject with potential and, at the same time, objects in their activities and creativity, students are expected to be able to develop their qualities. The quality can be seen from the academic achievements achieved, which are evidence of the effort earned by students. Student academic achievement is evaluated at the end of each semester to determine the learning outcomes that have been achieved. If a student cannot meet certain academic criteria to be declared eligible to continue their studies, the student is declared to be not graduating on time or even dropout (DO). The high number of students not graduating on time or dropouts at higher institutions can be minimized by the policies of higher institutions by directing and detecting at-risk students in the early stages of education. Therefore, in this paper, we present the use of Fuzzy Soft Set Classification (FSSC), which is based on the Fuzzy Soft set theory to predict student graduation. The 2068 dataset was taken from the Directorate of Information Systems, Ahmad Dahlan University. The results showed that the FSSC reached up to 0.893292 in terms of accuracy. So, it is expected to be able to detect students at risk in the early stages of education so that higher education can minimize students not graduating on time or dropout by providing appropriate treatment and designing strategic programs.

Keywords— Soft Set Theory, On-time graduation rates, Classification, FSSC, Attribute selection.

I. INTRODUCTION

Higher education institutions are demanded to provide quality education for students so that they can produce knowledgeable, capable, creative, and competitive human resources. Every academic year the university organizes a new student admission process. Judging from the number of enthusiasts from each academic year of higher education can pay attention to various factors that influence the management of student capacity, one of which is the accuracy of the student's study period in accordance with the specified time. In the higher education system, students are an important asset for an educational institution, so it needs to be considered the graduation level of students on time. The percentage of the ups and downs of students' ability to complete their studies on time is one element of the

university's accreditation assessment. For this reason, there is a need for monitoring and evaluation of the tendency for students to graduate on time or not.

Generally, in Indonesia, evaluations of student academic activities are expressed in semester credit units (SKS). The SKS is a system of providing education using semester credit units and using semester time units consisting of 2 semesters in an academic year. A student can be declared graduated after completing a certain number of credits. For example, undergraduate students require to complete 144-160 credits, diploma programs require 110-120 credits. A Grade point average (GPA) is a number that shows the cumulative achievement or progress of student learning, starting from the first semester to the last semester that has been taken. A Cumulative Grade Point Average (CGPA) and GPA are used as criteria to provide academic evaluations and study evaluations at the end of the program. Students are allowed to take semester study loads that are less than the minimum amount allowed, but are not allowed to take semester study loads that are greater than the maximum amount allowed.

Higher education needs to detect student behavior so that the factors that can cause student failure can be identified so that it can determine the level of graduation according to the specified study period, including the low academic ability, age of college admission, achievement index or other factors. In each academic year, there are some things that are not balanced between incoming and outgoing students in completing their studies. Moreover, the large number of student intakes is not balanced with students who graduate on time in accordance with the provisions of 4 years or 8 semesters. As a result, there is a large accumulation of students in each graduation period so that the academic process does not run optimally.

As a higher education, knowing the level of graduation on time for students in advance is important. The aim is to find out the performance of students and study programs that can plan strategic programs so that in the future, it can improve on-time graduation rates of students [1]. The on-time graduation rates can be increased by improving the quality of learning and academic services for students. In addition, if the time for completion of student studies can be predicted, then the handling of students will be more


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Industry 4.0 strategic alignment framework:Multilevel perspective of digital transition in

IndonesiaNunung Nurul Qomariyah

Computer Science Department, Faculty of Computing and MediaBina Nusantara UniversityJakarta, Indonesia, 11480

[email protected]

Anjar PriandoyoEnvironment Dept., University of York

York, United KingdomTechnology Consulting - PwC Indonesia

[email protected]

Abstract—Industry 4.0 as a concept and process is growingrapidly. In Indonesia there are many companies that are aware ofthe need to prepare the company in adapting Industry 4.0 trendsinto their business process. However when implementing Industry4.0 capabilities into the company, there are many challenges thatare difficult to face. This study proposed a new methodology toalign between Industry 4.0 capabilities and strategic developmentprocess in the company. This study combines two differentframework which are TOGAF Architecture Development Method(TOGAF ADM) and Indonesia Industry 4.0 Readiness Index(INDI4.0) to develop a new strategic alignment framework thatcan help company to have an Industry 4.0 capabilities while atthe same time still aligned with the company priorities.

Index Terms—Industry 4.0, Technological Transition, Strategy

I. INTRODUCTION

Industry 4.0 is an umbrella term for various technologytrends such as the Internet of Things (IOT), cloud computing,and artificial intelligence. As a term, Industry 4.0 begin topopularize in 2011 by the German government to promote theuse of computerization in manufacturing [1]. As an umbrellaterm, Industry 4.0 also might be used interchangeably withsimilar umbrella term such as Smart City in the residentialsector or a related term such as Service 4.0, Work 4.0 andGovernment 4.0 [2]. The goal of industry 4.0 is to apply all theprinciples such as interconnection, cyber security to artificialintelligence in all layer of industrial process.

Industry 4.0 also can be seen as a process of transitioninstead as an object. When Industry 4.0 seen as a process, thereare several actors, technological, and social aspects that needto be considered in analyzing this transition. As a process thesuccessful implementation of Industry 4.0 not only dependingon the company or its industry readiness but also other criticalfactors such as government, education and society support inthe industry 4.0 transition.

In Indonesia, as a concept, Industry 4.0 is not somethingnew. The technology trends that shape Industry 4.0 is al-ready available since the early 2000s during the rise ofinternet based technology or since the early 2010s during therise of smartphone. The cloud computing for example also

predates the industry 4.0 concept that just comes recently.The introduction of automation in the industry also is notsomething new. The technological transition of the industry4.0 supporting technology is happened in the past already,with some transition is still ongoing.

II. INDUSTRY 4.0 IN INDONESIA

Understanding how the past technological transition inIndonesia is very important to be able to visioning the futuretrends. A recent Industry 4.0 trends in period 2014-2019 forexample is an important background to understand how thecomplexity of this transition is shaped and what factor thatinfluencing this transition. This transition can be explained bymultilevel perspective theory.

As a developing country, Indonesia adoption for Industry4.0 is different compared to the technological transition indeveloped countries [3]. In Indonesia for example the sourceof technological innovation is not coming from inside of thecountry but more bring from another country. In Indonesia, theindustry 4.0 as concept begin to popularize as early as 2015.This transition can be explained by several timelines whichare technological timeline, business and market timeline andgovernment timeline.

A. 2.1 Niche innovation (Technological timeline)

Any technological innovation always start with somethingsmall and often unpredictable. The same situation also appliedin Indonesia. In the analysis of technological transition, findinga cut off of when technology started to develop rapidly is oftendifficult. However, in Indonesia there are certain characteristicsthat can specify the cut of and the rate of technologicaltransition. The text below will explain how cloud computingtechnology, smartphones and automated toll gate might shapethe technological transition in Indonesia.

In Indonesia the term cloud computing popularity begin asearly 2007. The earliest cloud computing provider such asCBN or Telkom providing cloud computing service whether asIaaS (Infrastructure as a Service), PaaS (Platform as a service)or SaaS (Software as a service). However, the first cloud


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Smart Greetthings - Undip PAK Repository

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