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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Teknosains EMITTER International Journal of Engineering Technology Journal of Environment and Sustainability Jurnal Elektronika dan Telekomunikasi JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Celebes Education Review Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Engineering and Technology (INAJET) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Elektro (JTE) Jurnal Pendidikan Teknik Elektro ELPOSYS: Jurnal Sistem Kelistrikan Journal of Electrical Engineering Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Widi Aribowo
Universitas Negeri Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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Sistem Proteksi Motor Berbasis Motor Manajemen Relay GE Multilin SR469 pada Motor Primary Air Fan di PLTU PAITON Unit 7 Aribowo, Widi; Zaymapa, Igo Nanda Deka
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol 2, No 2 (2019)
Publisher : Jurusan Teknik Elektro Fakultas Teknik UNESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v2n2.p1-8

Abstract

Energi listrik adalah hal yang paling vital dalam seluruh aktivitas kehidupan manusia  guna  meningkatkan  kesejahteraan  dan  kemakmuran  hidup.  Energi listrik  mempermudah  dalam  pemenuhan  kebutuhan hidup. hal ini  mengingat  sifat dari energi listrik yang mudah dikonversikan ke bentuk energi yang lain, seperti energi cahaya, energi mekanik, energi kalor, dan sebagainya.  Hal ini menuntut suatu perusahaan kelistriktrikan dapat memenuhi kebutuhan akan listrik, menjaga kontinuitas pelayanan dan menjaga keandalan sistem tenaga listriknya. Sebagai salah satu pembangkit tenaga listrik, PLTU  Paiton harus beroperasi dan dapat menyuplai energi listrik yang diminta oleh PLN untuk memenuhi kebutuhan konsumen. Dalam mengoperasikan  dan memelihara PLTU  Paiton  Unit 7 dan  8, PT.  Paiton  Energi  mengikat  kerjasama  dengan PT. Paiton Operation and Maintenance Indonesia (PT. POMI) pada akhir 2006. Dalam pengoperasian pembangkit tentunya kondisi abnormal atau gangguan di sistem pembangkit menjadi masalah serius. Sehingga perlu adanya proteksi pada peralatan untuk melindungi peralatan dari gangguan. Salah satu peralatan yang harus dilindungi adalah motor. Di PLTU  Paiton, proteksi motor digunakan motor manegement relay tipe GE Multilin SR469 yang merupakan suatu relay proteksi motor berbasis mikroprosesor yang dapat menjalankan sistem proteksi sesuai algoritma yang ditanam di dalamnya.
Improving neural network using a sine tree-seed algorithm for tuning motor DC Widi Aribowo; Bambang Suprianto; Joko Joko
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v12.i2.pp1196-1204

Abstract

A DC motor is applied to delicate speed and position in the industry. The stability and productivity of a system are keys for tuning of a DC motor speed. Stabilized speed is influenced by load sway and environmental factors. In this paper, a comparison study in diverse techniques to tune the speed of the DC motor with parameter uncertainties is showed. The research has discussed the application of the feed-forward neural network (FFNN) which is enhanced by a sine tree-seed algorithm (STSA). STSA is a hybrid method of the tree-seed algorithm (TSA) and Sine Cosine algorithm. The STSA method is aimed to improve TSA performance based on the sine cosine algorithm (SCA) method. A feed-forward neural network (FFNN) is popular and capable of nonlinear issues. The focus of the research is on the achievement speed of DC motor. In addition, the proposed method will be compared with proportional integral derivative (PID), FFNN, marine predator algorithm-feed-forward neural network (MPA-NN) and atom search algorithm-feed-forward neural network (ASO-NN). The performance of the speed from the proposed method has the best result. The settling time value of the proposed method is more stable than the PID method. The ITAE value of the STSA-NN method was 31.3% better than the PID method. Meanwhile, the ITSE value is 29.2% better than the PID method.
Optimization of PID parameters for controlling DC motor based on the aquila optimizer algorithm Widi Aribowo; Supari Supari; Bambang Suprianto
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp216-222

Abstract

This study presents the application of the aquila optimizer (AO) algorithm to determine the parameters of the proportional integral derivative (PID) controller to control the speed of a dc motor. The AO method is inspired by the most popular bird of prey in the northern hemisphere named Aquila. Initially, the proposed AO algorithm is applied to unimodal and multimodal benchmark optimization problems. To get the performance of the AO method, the controller is compared with other methods, namely Seagull optimization algorithm (SOA), marine predators algorithm, giza pyramids construction (GPC), and chimp optimization algorithm (ChOA). The results represent that the AO is promising and shows the effectiveness. Determination of PID parameters using the AO method for dc motor speed control system shows superior performance.
A hunger game search algorithm for economic load dispatch Widi Aribowo; Supari Muslim; Bambang Suprianto
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i2.pp632-640

Abstract

This work proposes a new approach to solve the economic load dispatch (ELD) issue in power systems by metaheuristic algorithms inspired by natural life. The problem to be resolved is to optimize the power system network with various constraints by considering the cutting in the cost of the resulting in the transmission of the electric system. The method used in this study is the hunger games search (HGS). This method duplicates the hungerdriven activity and the animal's choice of behavior. The proposed method is to add the concept of starvation as a process structure. Adaptive weights based on the concept of hunger are designed and used to simulate the effects of hunger on each trace process. To get the performance of the proposed method, this research uses mathematical methods, particle swarm optimization (PSO), differential evolution (DE), giza pyramids construction (GPC), and sine tree-seed algorithm (STSA) as a comparison. This study uses 2 case studies. In case study 1, the proposed method has a 0.16% better cost of generation than the mathematical method. Comparison of the HGS method with the PSO method in the second case study, it was found that the HGS method was 0.018% better than the PSO. From the research, it was found that the HGS method was superior.
Vocational Students Readiness In The Face of the Industrial Revolution 4.0 and the Demands of Life in the 21st Century Skills Edy Kurniawan; Supari Muslim; Erina Rahmadyanti; Widi Aribowo; Nita Kusumawati; Euis Ismayati; Ismet Basuki; Ruzairi Abdul rahim
Celebes Education Review Vol 1 No 1 (2019): April 2019
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah IX Sulawesi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1031.921 KB) | DOI: 10.37541/cer.v1i1.118

Abstract

Vocational High School (VHS) is the initial level of vocational education whose task is to prepare students to become skilled labor in the industrial field. At this time there have been many changes, related to the era of industrial revolution 4.0, and the demands of life in the 21st century. Therefore it is necessary to increase the competence of vocational students in order to respond to these changes, both related to the era of industrial revolution 4.0, and demands for skills 4C to be able to live in existence in the 21st century. How far has the implementation of Vocational Schools been able to respond to these changes and demands? To answer this question, a research is needed entitled "Readiness of Vocational students in order to face the industrial revolution 4.0 and the demands of 21st century skills". Through literature studies, it was found that it was needed: (1) the use of learning models such as Problem Based Learning (PBL), Project Based Learning (PjBL), Cooperative Learning and the like, in order to foster 4C skills capabilities for vocational students; (2) the use of learning media such as e-larning, Flipped classroom and podcasts; (3) IoT utilization, digital literacy, and utilization of e-books that are cheap, practical, environmentally friendly, and up to date, (2) improving teacher quality related to the demands of 21st century skills.
STABILISATOR SISTEM TENAGA BERBASIS JARINGAN SYARAF TIRUAN BERULANG UNTUK SISTEM MESIN TUNGGAL Widi Aribowo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 8, No 1: April 2010
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v8i1.606

Abstract

In this paper, recurrent neural network (RNN) is used to design power system stabilizer (PSS) due to its advantage on the dependence not only on present input but also on past condition. A RNN-PSS is able to capture the dynamic response of a system without any delays caused by external feedback, primarily bythe internal feedback loop in recurrent neuron. In this paper, RNNPSS consists of a RNN-identifier and a RNN-controller. The RNN-Identifier functions as the tracker of dynamics characteristics of the plant, while the RNN-controller is used to damp the system’s low frequency oscillations. Simulation results using MATLAB demonstrate that the RNNPSS can successfully damp out oscillation and improve the performance of the system.
AN ADAPTIVE POWER SYSTEM STABILIZER BASED ON FOCUSED TIME DELAY NEURAL NETWORK Widi Aribowo
Jurnal Teknosains Vol 7, No 1 (2017): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.35130

Abstract

In this paper, Power System Stabilizer is designed in Single Machine Infinite Bus (SMIB) and speed control is implemented with a dynamic topology based on Focused Time Delay Neural Network (FTDNN).  In case of prediction and control, two individual strategies are concerned for the current projects. The first is identification the dynamics of system. The other is an optimization unit expected for minimization disturbances. The performance of the system with FTDNN-PSS controller is compared with a Conventional PSS (C-PSS), RNN-PSS and DTDNN PSS. The results show the effectiveness of FTDNN-PSS design, and superior robust performance for enhancement power system stability compared to Conventional PSS with different cases.
Sistem Penyiraman Tauge Menggunakan Sumber Tenaga Hybrid Angin Dan Matahari Rakhmad Agus Arrashid; Subuh Isnur Haryudo; Widi Aribowo; Ibrohim Ibrohim
Indonesian Journal of Engineering and Technology (INAJET) Vol. 2 No. 2 (2020): April 2020
Publisher : Fakultas Teknik Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajet.v2n2.p36-41

Abstract

Tauge atau orang awam biasa menyebutnya kecambah sangat mudah cara pembuatannya, Pekerjaan yang sangat susah dan menjadi persoalan adalah prosedur penyiramannya yang dilakukan petani tauge tiap 4 jam sekali untuk memperoleh hasil tauge yang berkualitas. Proses penyiraman dimulai ketika suhu tanaman kacang hijau mencapai 35 ËšC dan berhenti ketika suhu pada 30 C. Oleh karena itu, diperlukan alat yang dapat menyiram kecambah secara otomatis untuk menjaga suhu akurat pada suhu 30 C. Jadi, pada proyek akhir ini dibuat sebuah sistem penyiram tauge otomatis menggunakan mikrokontroler arduino uno sebagai pengendali motor pada saat penyiraman tauge. Selain itu, sumber energi matahari (Fotovoltaik) dan angin (Turbin angin) digunakan sebagi produksi listrik dari sumber energi alternatif pada sistem penyiram tauge. Namun, perubahan cuaca yang tidak menentu membuat turbin angin skalakecil yang terhubung ke jaringan dan sistem fotovoltaik tidak diragukan lagi akan mempengaruhi masalah kualitas daya. Dalam artikel ini pengukuran daya yang dihasilkan oleh sistem tenaga hybrid (tenaga angin dan tenaga matahri) untuk menentukan sejauh mana error yang dihasilkan antara perhitungan dengan hasil pengukuran. Variable pengukurannya adalah tegangan, arus, intensitas cahaya, dan kecepatan angin. Pengujian sistem tenaga hybrid yaitu tenaga matahari (fotovoltaik) mampu menghasilkan total daya rata-rata 18.19 watt dengan nilai error 7.1 %, sedangkan pada tenaga angin (turbin angin) mampu menghasilkan total tegangan rata-rata 32,5 V dengan arus 0,216A dan nilai error 37,8 pada percepatan angin rata-rata 3 meter/sekon.
Improving Neural Network Based on Seagull Optimization Algorithm for Controlling DC Motor Widi Aribowo; Supari Muslim; Fendi Achmad; Aditya Chandra Hermawan
Jurnal Elektronika dan Telekomunikasi Vol 21, No 1 (2021)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.48-54

Abstract

This article presents a direct current (DC) motor control approach using a hybrid Seagull Optimization Algorithm (SOA) and Neural Network (NN) method. SOA method is a nature-inspired algorithm. DC motor speed control is very important to maintain the stability of motor operation. The SOA method is an algorithm that duplicates the life of the seagull in nature. Neural network algorithms will be improved using the SOA method. The neural network used in this study is a feed-forward neural network (FFNN). This research will focus on controlling DC motor speed. The efficacy of the proposed method is compared with the Proportional Integral Derivative (PID) method, the Feed Forward Neural Network (FFNN), and the Cascade Forward Backpropagation Neural Network (CFBNN). From the results of the study, the proposed control method has good capabilities compared to standard neural methods, namely FFNN and CFBNN. Integral Time Absolute Error and Square Error (ITAE and ITSE) values from the proposed method are on average of 0.96% and 0.2% better than the FFNN and CFBNN methods.
Pengembangan Perangkat Lunak Sistem Informasi Manajemen Skripsi di Jurusan Teknik Elektro FT UNESA Widi Aribowo; Bambang Suprianto; Agus Budi Santosa
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 2 No. 1 (2019)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v2n1.p7-11

Abstract

Abstrak - Mahasiswa dituntut untuk menyelesaikan skripsi untuk memenuhi persyaratan memperoleh gelar. skripsi disusun berdasarkan penelitian lapangan atau analisa data. Permasalahan terkait pelaksanaan skipsi di jurusan teknik elektro adalah tidak adanya integrasi administrasi ruangan, jam dan dosen. sehingga menyulitkan mahasiswa untuk membuat jadwal yang tidak berbenturan dengan mahasiswa lain. Oleh karena itu, penelitian ini mengintegrasikan beberapa modul yang berkaitan dengan manajemen ruangan, jam dan dosen. Sehingga permasalahan skripsi dapat diselesaikan dan pelayan terhadap mahasiswa dapat dioptimalkan.
Co-Authors A. Shehadeh, Hisham A.A. Ketut Agung Cahyawan W Abualigah, Laith Achmad Imam Agung ACHMAD RIZAL MAWALI Achmad, Fendi Ade Ananda Kurniawan Adhim Triano Nasrullah Aditya Chandra Hermawan Aditya Chandra Hermawan Aditya Prapanca Agus Budi Santosa Agus Budi Santosa Agustin, Intan Permata Ainul, Safira Tri Handini Akhmad Rizqi Kamal Aljohani, Abeer Amaliah, Fithrotul Irda Andi Iwan Nurhidayat Arief, Muhammad Baharuddin Arief, Rozihan Ariyanto, Sudirman Rizki Arrashid, Rakhmad Arrashid, Rakhmad Agus Asmunin Asmunin As’ad Shidqy Aziz Ayusta Lukita Wardani B, Nur Vidia Laksmi B., I Gusti Putu Asto Bambang Suprianto . Bao, Benesiktus Chandra Hermawan, Aditya Danang Aji Basudewa Dimas Herjuno Dwi, Mochamad Hanif Edy Kurniawan Effendi, Moh. Zaenal Elsayed Abd Elaziz, Mohamed Erfin Prafitama Setiawan , Muhammad Erina Rahmadyanti Euis Ismayati Farid Baskoro Faruqi, Muhammad Ismail Feby Agung Pamuji Fendi Achmad Firdaus, Muhammad Riqi Fransisca, Yulia Hacimahmud Abdullayev, Vugar Hafid Al azzah Heri Suryoatmojo Hermawan , Aditya Chandra Hermawan,, Aditya Chandra Herwanto , Yoko Ibrohim Ibrohim Ibrohim Igo Nanda Deka Zaymapa Ilham Amarulloh Ismet Basuki Joko Joko Kevin Pranata Putra Khoirul Anwar Khoriri, Doddy Nur Liu, Tian-Hua Lucia Tri Pangesthi Lukita Wardani , Ayusta Lukita Wardani, Ayusta Luthfiyah Nurlela Ma'arif, Muhammad Fikrul Mahendra Widyartono Mochamad Hanif Dwi Wicaksono Mubarok, Muhammad Syahril MUHAMMAD PERMANA SETYA GUNAWAN Muhammad Syahril Mubarok Muhammad Taufiqurrohman, Muhammad Munoto Munoto Musthofa, Achmad Malikur Robbani Mzili, Toufik Nawawi , Akhmad Nita Kusumawati Nugrahani Astuti Nugroho, Yuli Sutoto Nur Vidia Laksmi B Nurlita, Ita Nurul Jaizah Oliva , Diego Oliva, Diego Pradipta, Moh. Alfiansyah Putera Putra, Alfredo Arianto Permana Putra, Andreas Perkasa Raden Mohamad Herdian Bhakti Rahmadian, Reza Rahmatullah, Daeng Rakhmad Agus Arrashid Ridwan, M. Nanda Tri Maulana Rina Harimurti Rosalin, Berliana Dzakiyya Ruzairi Abdul rahim Sabo, Aliyu Salam, Muhammad Abdus Shehadeh, Hisham A. Shidqy Aziz, As'ad Siti Sulandjari Soleimanian Gharehchopogh, Farhad Sri . Handayani Subuh Isnur Haryudo Suhermanto, Dimas Ahmad Nur Kholis Supari Muslim Supari Supari Syamsul Muarif Taufiqur Rohman Udin, Muhammad Syafi Umaroh, Susi Tri Unit Three Kartini Wicaksono, Alfiyanto Wahyu Wicaksono, Mochamad Hanif Dwi Widiyartono, Mahendra Wiyli Yustanti WRAHATNOLO, TRI YUNI YAMASARI Zahrotul Maulia Zangana, Hewa Majeed Zaymapa, Igo Nanda Deka