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LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Makalah (Artikel) : Hybrid of Particle Swarm and Levenberg Marquardt Optimization in Neural Network Model for Rainfall Prediction

Jumlah Penulis : 3 Orang Penulis ke : 3

Nama Penulis : Budi Warsito, Rukun Santoso, Hasbi Yasin

Identitas Makalah

a. Nama Prosiding : Journal of Physics: Conference Series

b. Nomor ISSN : 1742-6596

c. Volume, No, Bulan, Tahun : Vol. 1351 Conference 1, November 2019

d. Penerbit : IOP Publishing

e. DOI artikel (jika ada) : https://doi.org/10.1088/1742-6596/1351/1/012089 f. Alamat web : https://iopscience.iop.org/article/10.1088/1742-

6596/1351/1/012089

g. Indexing : Scopus

Kategori Publikasi Makalah : Prosiding Internasional Terindeks Scopus (beri pada kategori yang tepat) Prosiding Internasional

Prosiding Nasional Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Reviewer

Nilai Rata-rata Reviewer I Reviewer II

a. Kelengkapan unsur isi buku (10%) 2,5 2,5 2,50

b. Ruang lingkup dan kedalaman pembahasan (30%)

7,75 8 7,88

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

8,0 8 8,00

d. Kelengkapan unsur dan kualitas penerbit (30%)

8,5 8 8,25

Total = (100%) 26,75 26,5 26,63

Semarang, 16 Juni 2020 Reviewer 2

Dr. Rukun Santoso, M.Si.

NIP. 19650225 199201 1 001 Unit kerja :

Departemen Statistika Undip

Reviewer 1

Prof. Drs. Mustafid, M.Eng., Ph.D.

NIP. 19550528 198003 1 002 Unit kerja :

Departemen Statistika Undip

(2)

Identitas Makalah a. Nama Prosiding b. Nomor ISSN

c. Volume, No, Bulan, Tahun d. Penerbit

e. DOI artikel (ika ada)

f.

Alamat web

g. Indexing

Kategori Publikasi

Makalah

:

(beri /pada kategori yang tepat)

Journal of Physics: Conference Series 1742-6596

Vol. 135 I Conference 1, November 2Al9 IOP Publishing

htlps:/idoi.orgi I 0.I 088/ I 742-6596/ 135 li l/012089

https : //iopsc ience.iop.ors/arti cl e/ 1 0. I 08 81 1 742- 65961t35111fi12089

Scopus

f4

Prosidinglntemasional Terindeks Scopus

| |

Prosiding lnternasional

7

ProsictiLrg Nasional Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Maksimal Prosiding

:

30

Nilai Akhir

Yang Diperoleh fnternasional

Terindeks ScoDus

Internasional Nasional

a.

Kelengkapan unsur isi buku

fi0%l J

)\

b.

Ruang lingkup dan kedalaman

pembahasan $0%\ 9

7,75

c.

Kecukupan dan kemutahiran datalinformasi dan metodologi

(30!%\

9

8,0

d. Kelengkapan unsur dan

kualitas penerbit (30%\ 9

8.5

Total

:

(100%) 30 26,75

Kontribusi Pengusul (PenulisAnggota) = 40"/"x26,7512 = 5,35

Komentar Peer Review:

a.

Kelengkapan dan kesesuaian unsur: Baik, sesuai dengan sistematika artikel ilmiah hasil penelitian. Artikel ditulis dengan Bahasa Inggris cukup baik. Kelengkapan unsur hanya fokus pada metode dan hasil penelitian.

b.

Ruang lingkup dan kedalaman pembahasan: Baik, materi artikel

berhubungan dengan teori statistika. Kedalaman

pembahasan

Prof. Drs. Mustafid, M.Eng., Ph.D.

kurang,penulisan teori dan metodologi secara scientific

kurang.

NIP. 19550528 198003 1 002

c.

Kecukupan dan kemutahiran datalinformasi dan metodologi: Baik, hasil penelitian berhubungan dengn penerapan teori statistika. Artikel

menggunakan 9 rujukan, dengan 4 rujukan lebih dari 10

tahun

Unit kerja:

terakhir. Departemen Statistika Undip

d.

Kelengkapan unsur dan kualitas penerbit: Artikel disampaikan

pada

Jabatan Fungsional:

o'Universitas Riau Intemational Conference on Science

and

Guru Besar Environment (TRICSE-2019) * tahun 2019 dipublikasikan pada IOP

tahun 2019, terindeks

di

SCOPUS nilai SJR 2018 = 0,22, quartile ranking Q3. Kualitas terbitan baik.

e.

Indikasi Plagiasi: Tidak ada.

f.

Kesesuaian bidang ihnu: Statistika.

Semarang, Reviewer 1

(-t

I

Tnlmln

(3)

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Makalah (Artikel) : Hybrid of Particle Swarm and Levenberg Marquardt Optimization in Neural Network Model for Rainfall Prediction

Jumlah Penulis : 3 Orang Penulis ke : 3

Nama Penulis : Budi Warsito, Rukun Santoso, Hasbi Yasin

Identitas Makalah

a. Nama Prosiding : Journal of Physics: Conference Series

b. Nomor ISSN : 1742-6596

c. Volume, No, Bulan, Tahun : Vol. 1351 Conference 1, November 2019

d. Penerbit : IOP Publishing

e. DOI artikel (jika ada) : https://doi.org/10.1088/1742-6596/1351/1/012089 f. Alamat web : https://iopscience.iop.org/article/10.1088/1742-

6596/1351/1/012089

g. Indexing : Scopus

Kategori Publikasi Makalah : Prosiding Internasional Terindeks Scopus (beri pada kategori yang tepat) Prosiding Internasional

Prosiding Nasional Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Maksimal Prosiding = 30

Nilai Akhir Yang Diperoleh Internasional

Terindeks

Scopus Internasional Nasional a. Kelengkapan unsur isi buku

(10%) 3 2,5

b. Ruang lingkup dan kedalaman

pembahasan (30%) 9 8

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

9 8

d. Kelengkapan unsur dan

kualitas penerbit (30%) 9 8

Total = (100%) 30 26,5

Kontribusi Pengusul

(Penulis Anggota) (40%×26,5)/2=5,3

Komentar Peer Review:

a. Kelengkapan dan kesesuaian unsur:

Baik, tidak ada kata kunci

b. Ruang lingkup dan kedalaman pembahasan:

Cukup baik, penerapan metode pada data sekunder, hanya pada kawasan yang sempit

c. Kecukupan dan kemutahiran data/informasi dan metodologi:

Cukup baik, persamaan tidak ditulis dengan mathtype tetapi gambar d. Kelengkapan unsur dan kualitas penerbit:

Cukup baik e. Indikasi Plagiasi:

Tidak ditemukan

f. Kesesuaian bidang ilmu:

Sesuai, model matematika/statistika

Semarang, Reviewer 2

Dr. Rukun Santoso, M.Si.

NIP. 19650225 199201 1 001

Unit kerja:

Departemen Statistika Undip Jabatan Fungsional:

Lektor Kepala

(4)

Page 1 of 3 https://www.scopus.com/record/display.uri?eid=2-s2.0-8507828792…s&sl=18&s=AU-ID%2854915555400%29&relpos=1&citeCnt=0&searchTerm=

2 of 28

Hybrid of Particle Swarm and Levenberg Marquardt Optimization in Neural Network Model for Rainfall Prediction (Conference Paper) (Open Access)

, ,

Department of Statistics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia Magister Program of Information System, School of Postgraduate Studies, Diponegoro University, Semarang, Indonesia

Abstract

Neural network model has undergone many modifications from the original model through the development of network architecture and optimization methods. By default, the gradient-based optimization method is a method used to find network weights. But some of the weaknesses and limitations of these methods inspired many researchers to try to use other methods. Non-gradient based heuristic method is a reasonable choice considering the learning algorithm in artificial neural networks is inspired by the characteristics of creatures so that optimization methods that also mimic life patterns in nature will be appropriate. One disadvantage of the heurisic method is the length of the iteration process. In this paper, a method which combines heuristic optimization methods and gradient- based methods is applied, namely particle swarm optimization (PSO) and Levenberg Marquardt. The weight obtained from the PSO method becomes the initial weight for the Levenberg Marquardt method. The proposed procedure is applied to the rainfall data in Cokrotulung Klaten. The results showed that this procedure succeeded in providing better predictions than the Levenberg Marquardt method. © Published under licence by IOP Publishing Ltd.

SciVal Topic Prominence

Topic:

Prominence percentile: 96.326

Indexed keywords

Engineering controlled terms:

Iterative methods Network architecture Neural networks Particle swarm optimization (PSO) Rain

Engineering uncontrolled terms

Gradient-based method Gradient-based optimization method Heuristic optimization method Levenberg Marquardt optimizations Levenberg-Marquardt Levenberg-Marquardt method Neural network model Rainfall prediction

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Journal of Physics: Conference Series

Volume 1351, Issue 1, 18 December 2019, Article number 012089

Universitas Riau International Conference on Science and Environment 2019, URICSE 2019;

Grand Suka HotelPekanbaru; Indonesia; 10 September 2019 through ; Code 156693

Warsito, B.a,b & Santoso, R.a Yasin, H.a ) Save all to author list

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Kennedy, James, Eberhart, Russell ISSN: ISSN: 17426588

Source Type: Source Type: Conference Proceeding Original language: Original language: English

DOI:

DOI: 10.1088/1742-6596/1351/1/012089 Document Type:

Document Type: Conference Paper Volume Editors:

Volume Editors: Saktioto,Nugroho T.T.,Taib S.,Evelyn,Linda R.,Fitmawati,Hermita N.,Novitri,Dahnilsyah

Publisher:

Publisher: Institute of Physics Publishing

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Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization

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Prediction of particulate matter at street level using artificial neural networks coupling with chaotic particle swarm optimization algorithm

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Cover

To cite this article: 2019 J. Phys.: Conf. Ser. 1351 011001

View the article online for updates and enhancements.

This content was downloaded from IP address 182.1.89.20 on 17/04/2020 at 15:18

(11)

Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Published under licence by IOP Publishing Ltd

URICSE

Journal of Physics: Conference Series 1351 (2019) 011001

IOP Publishing doi:10.1088/1742-6596/1351/1/011001

1

(12)

Preface

To cite this article: 2019 J. Phys.: Conf. Ser. 1351 011002

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This content was downloaded from IP address 182.1.89.20 on 17/04/2020 at 15:19

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Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Published under licence by IOP Publishing Ltd

URICSE

Journal of Physics: Conference Series 1351 (2019) 011002

IOP Publishing doi:10.1088/1742-6596/1351/1/011002

1

PREFACE

On behalf of the Committee, I would like to thank you for your participation in the Universitas Riau International Conference on Science and Environment 2019 (URICSE- 2019) which has been held at the Grand Suka Hotel Pekanbaru, RIAU, Indonesia, September 10, 2019. This URICSE-2019 is organized by the Institute of Research and Community Services Universitas Riau. The main purpose of these conferences is the dissemination of the best research results from academics, researchers, professors, practitioners, observers, and students in both Science and Environment research. This conference is expected to become a forum to discuss strategic issues in related fields. The conference is expected to build cooperation between academics, researchers and institutions at both national and international levels. I would like to express my sincere appreciation to all the participants, supporting organizations and all the committee members who have made URICSE-2019 successful.

With these strong supports, we are sure URICSE-2019 will be beneficial to all the participants, and you enjoy in Pekanbaru, Riau the homeland of Melayu.

We are looking forward to meeting you in the next URICSE-2020. Thank you

Nur Islami, Ph.D Chair of the Conference

(14)

Organizing Committee

To cite this article: 2019 J. Phys.: Conf. Ser. 1351 011003

View the article online for updates and enhancements.

This content was downloaded from IP address 182.1.89.20 on 17/04/2020 at 15:19

(15)

Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Published under licence by IOP Publishing Ltd

URICSE

Journal of Physics: Conference Series 1351 (2019) 011003

IOP Publishing doi:10.1088/1742-6596/1351/1/011003

1

Organizing Committee

Patron

Prof. Dr. Ir. Aras Mulyadi, DEA General Advisor

Prof. Dr. M. Nur Mustafa, M.Pd Prof. Dr. Sujianto, M.Si

Prof. Dr. Iwantono, M.Phil Prof. Dr. Syaiful Bahri, M.Sc Event Advisor

Prof. Dr. Almasdi Syahza, SE., MP

Conference Chair Dr. Nur Islami Secretary Dr. Roza Linda Treasurer

Briliant Asmit, SP., MSM Secretariat

Dr. Neni Hermita Proceeding

Dr. Fitmawati, M. Si Hospitality

Dr. Dahnil Syah

Event and Documentary Dr. Novitri

Dr. Muhammad Syafii Alfuzanni, SE

Reviewer Coordinator Dr. Evelyn

(16)

Editors

To cite this article: 2019 J. Phys.: Conf. Ser. 1351 011004

View the article online for updates and enhancements.

This content was downloaded from IP address 182.1.89.20 on 17/04/2020 at 15:20

(17)

Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Published under licence by IOP Publishing Ltd

URICSE

Journal of Physics: Conference Series 1351 (2019) 011004

IOP Publishing doi:10.1088/1742-6596/1351/1/011004

1

Editors

Prof. Dr. Saktioto

Department of Physics, Universitas Riau, Indonesia

Jl. HR. Soebrantas, Universitas Riau, Pekanbaru, 28293, Indonesia [email protected]

Prof. Dr. Titania Tjandrawati Nugroho,

Department of Chemistry, Universitas Riau, Indonesia

Jl. HR. Soebrantas, Universitas Riau, Pekanbaru, 28293, Indonesia [email protected]

Assc. Prof. Dr. Samsudin Taib,

Geology Department, University of Malaya, Malaysia

Jalan Universiti, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia [email protected]

Dr Evelyn

Chemical Engineering, Universitas Riau, Indonesia

Jl. HR. Soebrantas, Universitas Riau, Pekanbaru, 28293, Indonesia [email protected]

Dr. Roza Linda

Chemistry Education, Universitas Riau, Indonesia

Jl. HR. Soebrantas, Universitas Riau, Pekanbaru, 28293, Indonesia [email protected]

Dr. Fitmawati

Biology Department, Universitas Riau, Indonesia

Jl. HR. Soebrantas, Universitas Riau, Pekanbaru, 28293, Indonesia [email protected]

Dr. Neni Hermita

FKIP, Universitas Riau, Indonesia

Jl. HR. Soebrantas, Universitas Riau, Pekanbaru, 28293, Indonesia [email protected]

Dr. Novitri

FKIP, Universitas Riau, Indonesia

Jl. HR. Soebrantas, Universitas Riau, Pekanbaru, 28293, Indonesia [email protected]

Dr. Dahnilsyah

FKIP, Universitas Riau, Indonesia

Jl. HR. Soebrantas, Universitas Riau, Pekanbaru, 28293, Indonesia [email protected]

(18)

View all abstracts

Preface

Papers

2019

Previous issue Next issue

Universitas Riau International Conference on Science and Environment (URICSE-2019) 10 September 2019, Grand Suka Hotel, Pekanbaru, Indonesia

Accepted papers received: 26 September 2019 Published online: 18 December 2019

 

011001 OPEN ACCESS

Cover

View article PDF View abstract

011002 OPEN ACCESS

Preface

View article PDF View abstract

011003 OPEN ACCESS

Organizing Committee

View article PDF View abstract

011004 OPEN ACCESS

Editors

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011005 OPEN ACCESS

Peer review statement

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(19)

Science

012001 OPEN ACCESS

Quantum Interpretation of Light Normalization at the Coupling Region Single Mode Fiber Coupling

Dedi Irawan and Saktioto

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012002 OPEN ACCESS

The Effects of Different Activation Agents on the Physical and Electrochemical Properties of Carbon Electrodes Produced from Banana Stem Fiber

E Taer, D A Yusra, Apriwandi, Awitdrus, R Taslim and Agustino View article PDF

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012003 OPEN ACCESS

Effect of LED Wavelengths and Light-Dark Cycle on Photosynthetic Production of Chlorella Kessleri for Algae-Based Biosensor Optimization

Agustina Wati, Reyhan Rusva and Lazuardi Umar View article PDF View abstract

012004 OPEN ACCESS

Design and Operation of Distribution Model for Electrical Potential Differences in Palm Trees

Defrianto, Saktioto, R F Izzah, R F Syahputra, Suhardi, S Anita, D Irawan and Okfalisa View article PDF

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012005 OPEN ACCESS

Optimation of Capacitor Bank Placement in Electric Network Using Genetic Algorithm

Arlenny, Elvira Zondra and Zulfahri

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Dwi Ely Kurniawan, Mohd Iqbal, John Friadi, Rohmat Indra Borman and Rio Rinaldi View article PDF

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V Vodola

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012009 OPEN ACCESS

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Dwi Ely Kurniawan, Imam Ahmad, Muhammat Rasid Ridho, Fendi Hidayat and Ahmad Anggra Js View article PDF

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012010 OPEN ACCESS

Study of Groundwater in the Rock Area Using Geoelectric Survey

M Juandi

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012011 OPEN ACCESS

Interpretation of Slip Surface and Weathered Layer Using the Geoelectric Method with Dipole-Dipole Configuration (Case Study of Ulu Kasok Hill, Kampar Regency)

Muhammad Radil, Juandi Muhammad, Ari Sulistyo Rini and Nur Islami View article PDF

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012012 OPEN ACCESS

Comparative Study of Vibration Signal Processing on Pipe Leak Case

Anderiansyah and I Made Miasa

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012013 OPEN ACCESS

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V Vodola

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012014 OPEN ACCESS

Developmental Scratch-Based Online Learning Media in Dynamic Electric Dynamic Topic to Increase Students Concept Understanding in Students Junior High School

Noftiana, Muhammad Nasir and Nur Islami

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012015 OPEN ACCESS

Coating Hydroxyapatite on 316L Stainless Steel Using Electroforesis Deposition Method

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Ahmad Fadli, Komalasari and Ines Indriyani View article PDF View abstract

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The Development of Physics Education Problem Based Learning Web as Physics Learning Media for Vocational High School

Dila Rizki Aryani, Azizahwati and Zulirfan

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The Development of MOOC Media to Increase Recall Memory Skill on Physics at Vocational High School

Eldwita Busri, Zulirfan and Fakhruddin

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012018 OPEN ACCESS

Development of Physics Learning Media Based on Self-Efficacy Use Mobile Augmented Reality for Senior High School

Muhammad Nasir, Z Fakhruddin and Rizo Budi Prastowo View article PDF View abstract

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Analysis of Attenuation Compensation Using Erbium Doped Fiber Amplifiers on

Wavelength Division Multiplexing Networks as Optical Amplifiers in Communication Systems

Saktioto, S Fitriadhani, R F Syahputra, Okfalisa and Syamsudhuha View article PDF

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Optical and Morphological Properties of ZnO Nanostructure by Coating Aluminium and Plasmonic Material

Rinaldo Abdi, Romi F Syahputra, Ridho Kurniawan, Awitdrus and Iwantono View article PDF

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Numerical Analysis of Stress Causing Fracture Failure in the Gear Transmission System Applied on an Agricultural Machinery Equipment

Husaini and D M Dawud

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