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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Bulletin of Electrical Engineering and Informatics Teknika Widya Cendika Matematika dan Sains JIEET (Journal of Information Engineering and Educational Technology) JURNAL EDUCATION AND DEVELOPMENT Jurnal Abadimas Adi Buana PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Journal of Informatics and Computer Science (JINACS) Indonesian Research Journal on Education IT-Edu: Jurnal Information Technology and Education Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Journal of Emerging Information Systems and Business Intelligence (JEISBI)
Aditya Prapanca
Universitas Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : Bulletin of Electrical Engineering and Informatics

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A novel modified mountain gazelle optimizer for tuning parameter proportional integral derivative of DC motor Aribowo, Widi; Abualigah, Laith; Oliva, Diego; Prapanca, Aditya
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.5575

Abstract

This article presents a modified method of mountain gazelle optimizer (MMGO) as a direct current (DC) motor control. Mountain gazelle optimizer (MGO) is an algorithm inspired by the life of the mountain gazelle animal in nature. This animal concept has five essential steps that are duplicated in mathematical modeling. This article uses two tests to get the performance of the MMGO method. The first test uses a benchmark function test with a comparison method, namely the sine tree seed algorithm (STSA) and the original MGO. The second test is the application of MMGO as a DC motor control. The simulation results show that MMGO can reduce the overshoot of conventional proportional integral derivative (PID) control by 0.447% and has a better integral time square error (ITSE) value of 5.345 than conventional PID control. Thus, the MMGO method shows promising performance.
Enhancing photovoltaic parameters based on modified puma optimizer Aribowo, Widi; Abualigah, Laith; Oliva, Diego; Elsayed Abd Elaziz, Mohamed; Soleimanian Gharehchopogh, Farhad; A. Shehadeh, Hisham; Sabo, Aliyu; Prapanca, Aditya
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.8977

Abstract

This article presents a photovoltaic (PV) optimization approach using the puma optimizer (PO) approach, which has been enhanced by utilizing Lévy flight optimization. The name of this approach is modified puma optimizer (MPO). PV generation systems are essential for sustainable solar energy utilization. It is an innovation and clean energy. There is an urgent demand for suitable and reliable simulation and optimization techniques for PV systems. This will result in increased efficiency. Algorithms with a high degree of reliability are needed to ensure optimal PV parameters. This study was conducted with MATLAB software. This article introduces the original PO method as a means to evaluate the performance of the MPO approach. The root mean square error (RMSE) function serves as a benchmark. Based on the simulation findings, the MPO approach shows superior RMSE compared to the PO method, specifically at a value of 0.0026%.
Co-Authors A. Shehadeh, Hisham Abualigah, Laith Achmad Wikan Hamdani Addaviqi, Iqbal Izza Aditya, Muhammad Wifqi Affandi, R. M. Anwar Agus Prihanto Agus Prihanto Agus Prihanto Akbar, Abdullah Azizi Alfarqi, Ahmad Figo Alit, Ronggo ANITA QOIRIAH Arfianto, Bastian Asnawi Ayusta Lukita Wardani Azzariyah, Rania Nur Bambang Suprianto . Bisma, Rahadian Budihardjo, Muhammad Fakhruddin Cahyani, Novita Clarisa Gita Aprillia Dedy Rahman Prehanto Dodik Arwin Dermawan Edwin Irfan Nuha Al Hadad Eka Putra, Ricky Ellsa Wahyu Candra Pujiarwoko Elsayed Abd Elaziz, Mohamed Elviera Putri Erintasari Wibowo Fakhri, Yazid Zimam Febriansyah, Alfido Adha Febrianti, Naila Fiqri, Achmad Wasi'ul Gala, Karenina Heristiyadi, Dwi I Made Suartana Ida Kurniawati, Ida IGL Putra Eka Prismana Imed Mahmoud Kusumawati, Agustina Dwi Mahendra Widyartono Maulana, Faisal Ilham Mirza, Mohammad Misbakhudin, Muhamad Yusuf Molion Surya Pradana Muhamad Fikri Rizki Romadhoni Nadi Suprapto Naim Rachmawati Nasreddine Belhaouas Nisa’, Fatona Kholifatun Noor Anita Candra Dewi Novitasari, Ella Dwi Nurdinina, Elsie Shahria Oliva, Diego Pakarti, Benny Hasto Prasetyo, Muhammad Rifqi Probo Novian Candra Rafif Raif, Andi Rhifqy Rahadian Bisma Rahma, Elsa Auliya Rahmadian, Reza Rahman, Yanuar Andi Ricky Eka Putra Ricky Eka Putra Rochmawati, Naim Sabo, Aliyu Safitri, Priyamitha Ayu SALMAN ALFARIZI Santi Aris Setyaningrum Sari, Eva Kumala Sholeh, Ainun Nur Soedjono, Zada Ceindea Vica Soleimanian Gharehchopogh, Farhad Suartana, I Made Syalsabella, Andara Puteri Sylvia Rahma Tohari Ahmad Unit Three Kartini Wahyu Khamdani Wahyudianto, Bagus Widi Aribowo Wulansari, Yusti Indah Yoga Pradafa Harahap Yoyon K. Suprapto1 YUNI YAMASARI Zahid, Mas Muhammadun