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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 SUSTINERE: Journal of Environment and Sustainability 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 JURNAL LINTAS KARSA Jurnal Elektronika dan Telekomunikasi
Widi Aribowo
Universitas Negeri Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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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Rancang Bangun Prototipe Smart Solar Tracker Dual Axis Dengan Inspirasi Bunga Matahari Akhmad Rizqi Kamal; Widi Aribowo; Aditya Chandra Hermawan; Ayusta Lukita Wardani
Journal of Electrical Engineering Vol. 2 No. 2 (2025): July
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jte.v2i2.4429

Abstract

Penelitian ini bertujuan untuk merancang dan menguji prototipe smart solar tracker dual axis yang terinspirasi dari gerakan bunga matahari dalam mengikuti arah matahari, dengan tujuan memaksimalkan penyerapan energi pada panel surya. Sistem smart solar tracker ini didesain agar panel dapat bergerak secara otomatis pada dua sumbu (horizontal dan vertical) sehingga orientasi panel selalu optimal terhadap posisi matahari sepanjang hari. Pengujian dilakukan dengan menggunakan mini panel surya pada rentang waktu pukul 10:00 hingga 15:00 WIB di kota Surabaya selama tujuh hari, dengan pengamatan perubahan voltase dan output charger pada kondisi cuaca yang beragam. Hasil pengujian menunjukkan bahwa sistem smart solar tracker dual axis mampu meningkatkan efisiensi penyerapan energi, ditunjukkan dengan rata-rata voltase sebesar 11,05 V dan output charger sebesar 5,10 V pada kondisi cuaca cerah. Meskipun terjadi penurunan kinerja pada kondisi cuaca berawan, sistem ini secara keseluruhan terbukti lebih efektif dibandingkan panel statis dalam mempertahankan daya keluaran yang konsisten. Rancangan yang terinspirasi dari mekanisme pergerakan bunga matahari berhasil diterapkan pada sistem tracking, sehingga panel dapat terus menyesuaikan posisinya sesuai perubahan posisi matahari. Sebagai tindak lanjut, disarankan pengembangan algoritma pelacakan yang lebih adaptif terhadap perubahan intensitas cahaya pada cuaca berawan, penggunaan sensor cahaya berpresisi tinggi, dan implementasi prototipe pada panel dengan kapasitas lebih besar untuk hasil yang lebih akurat. Melalui hasil penelitian ini, prototipe smart solar tracker dual axis berbasis gerakan bunga matahari diharapkan dapat menjadi solusi dalam optimalisasi penggunaan energi surya secara lebih efisien dan berkelanjutan.
Chaotic red-tailed hawk algorithm to optimize parameter power system stabilizer Aribowo, Widi; Abualigah, Laith; Oliva, Diego; Aljohani, Abeer; Sabo, Aliyu
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3536-3545

Abstract

This article introduces a recently created adaptation of the red-tailed hawk (RTH) algorithm. The proposed approach is a modified version of the original RTH algorithm, incorporating chaotic elements to enhance its integrity and performance. The RTH algorithm emulates the hunting behavior of the red-tailed hawk. This article demonstrates the adjustment of the power system stabilizer using the suggested technique in a case study involving a single-machine system. The suggested method was validated by benchmarking against known functions and evaluating its performance on a single-machine system in terms of transient responsiveness. The essay employs the original RTH algorithm as a means of comparison. The simulation results demonstrate that the proposed technique exhibits promising performance.
A Comparative Study of Metaheuristic Optimization Algorithms in Solving Engineering Designing Problems Aribowo, Widi; Shehadeh, Hisham A.
Journal of Robotics and Control (JRC) Vol. 6 No. 4 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i4.26410

Abstract

This paper presents a comprehensive comparative study of several metaheuristic optimization algorithms with the aim of identifying the most effective method for solving well-established engineering design problems. The algorithms selected for this study include Sperm Swarm Optimization (SSO), Chernobyl Disaster Optimizer (CDO), Bermuda Triangle Optimizer (BTO), Marine Predators Algorithm (MPA), and Particle Swarm Optimization (PSO). These algorithms are tested and evaluated through both qualitative and quantitative analyses.The first phase of testing involves applying the algorithms to a set of benchmark functions from the Congress on Evolutionary Computation (CEC) 2017 suite. Key performance indicators such as best fitness value, standard deviation, and mean are used to measure solution quality, while convergence curves are analyzed to assess optimization efficiency over iterations. This allows for a robust evaluation of each algorithm's ability to balance exploration and exploitation in the search space. In the second phase, the algorithms are implemented to solve real-world engineering design problems, including Speed Reducer Design, Pressure Vessel Design, Cantilever Beam Design, and Robot Gripper Optimization. These case studies further validate the practical applicability and versatility of the algorithms in handling complex, multidimensional, and constrained optimization tasks. The results indicate varying levels of performance across different problems, highlighting the strengths and limitations of each method. This comparative insight provides valuable guidance for researchers and practitioners in selecting suitable optimization techniques for specific engineering challenges.
POWER GENERATOR FROM OCEAN WAVE ENERGY CONVERSION Aribowo, Widi; Agung, Achmad Imam; Haryudo, Subuh Isnur; Muarif, Syamsul
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 11, No 2 (2020): JURNAL SIMETRIS VOLUME 11 NO 2 TAHUN 2020
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v11i2.5175

Abstract

The need for electrical energy has increased every year. On the other hand, the largest power plants in Indonesia still use non-renewable energy sources such as coal and petroleum, while these non-renewable energy sources will eventually run out. To anticipate running out of this energy, a renewable energy source is needed. This existence will not run out even though it is consumed every day. Renewable energy that can be used for conversion into electrical energy in coastal areas is wave power.  The waves that always crash on the shoreline can be used to drive turbines. The turbine rotates due to the crashing waves connected to a DC generator. It will convert mechanical energy into electrical energy. The electrical energy generated by the DC generator is used to charge the battery. The purpose of this research is the know-how to design a wave power generator and to determine the performance. The experimental method is used in this study. In the results, the generator works optimally during the day with the resulting voltage of 10.6 V to 10.7 V with rotation speed of 623 Rpm to With 710 Rpm.
Power System Stabilizer Optimization Based on Modified Black‑Winged Kite Algorithm Aribowo, Widi; Abualigah, Laith; Oliva, Diego; B, Nur Vidia Laksmi; Amaliah, Fithrotul Irda; Aziz, As’ad Shidqy; Zangana, Hewa Majeed
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 4 (2025): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i4.14669

Abstract

This article presents a Modified Method for tuning the parameters of a power system stabilizer (PSS). This article suggests a different approach that modifies the Black Kite Algorithm (BKA). The Black Kite (BKA) method is inspired by the migratory and predatory habits of the black kite. BKA combines the Leader and Cauchy mutation strategies to improve the algorithm's capacity for global search and convergence rate. This article includes comparative simulations of the PSS objective function and transient response to verify the effectiveness of the suggested strategy. The study validates the proposed method through comparison with both conventional techniques and the original BKA. Simulation results demonstrate that, when benchmarked against competing algorithms, the proposed method consistently yields optimal performance and exhibits faster convergence in certain scenarios. Notably, it reduces undershoot and overshoot by an average of 65% and 90.22%, respectively, compared to the PSS-Lead Lag method. Furthermore, the proposed approach not only minimizes overshoot and undershoot but also achieves a significantly faster settling time.
Pelatihan Pembuatan Emergency Box Berbasis Solar Panel di Lingkungan Pondok Pesantren Raudlatul Ulum Kalisat Jember Amaliah, Fithrotul Irda; Aribowo, Widi; Rahmadian, Reza; Laksmi, Nur Vidia; Rahmatullah, Daeng; Shidqy Aziz, As'ad; Lukita Wardani, Ayusta
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7892

Abstract

Pondok Pesantren Raudlatul Ulum Kalisat, Jember, sering mengalami pemadaman listrik yang mengganggu kegiatan belajar malam, ibadah, serta penerangan di asrama. Kondisi ini menegaskan perlunya sistem energi cadangan yang mandiri, ramah lingkungan, dan mudah dioperasikan oleh warga pesantren. Program pengabdian masyarakat ini bertujuan meningkatkan pengetahuan dan keterampilan teknis para santri maupun guru dalam merakit emergency box berbasis panel surya sebagai solusi alternatif ketika terjadi gangguan listrik. Kegiatan dilaksanakan pada 3–4 Juli 2025 dan melibatkan peserta secara aktif melalui praktik langsung perakitan serta pengujian fungsi perangkat. Hasil kegiatan menunjukkan bahwa peserta berhasil merakit emergency box dan memanfaatkannya untuk penerangan serta pengisian daya perangkat elektronik. Temuan ini menunjukkan bahwa pelatihan berbasis aplikasi mampu meningkatkan kesiapsiagaan energi sekaligus mendorong kemandirian teknis di lingkungan pesantren.
Focused Time Delay Neural Network For Tuning Automatic Voltage Regulator Aribowo, Widi
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.517 KB) | DOI: 10.24003/emitter.v7i1.315

Abstract

This paper proposes a novel controller for automatic voltage regulator (AVR) system. The controller is used Focused Time Delay Neural Network (FTDNN). It does not require dynamic backpropagation to compute the network gradient. FTDNN AVR can train network faster than other dynamic networks. Simulation was performed to compare load angle (load angle) and Speed. The performance of the system with FTDNN-AVR has compared with a Conventional AVR (C-AVR) and RNN AVR. Simulations in Matlab/Simulink show the effectiveness of FTDNN-AVR design, and superior robust performance with different cases.
Indirect Matrix Converter Based Synchronous Reluctance Motor Drive Systems using Model Predictive Control Laksmi B., Nur Vidia; Mubarok, Muhammad Syahril; Aribowo, Widi; Purwanto, Didik; Isaac, Jacob Raglend; Abdullayev, Vugar Hacimahmud
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.15222

Abstract

This paper proposes a speed control strategy of Synchronous Reluctance Motors (SynRM) using an Indirect Matrix Converter (IMC) combined with a finite model predictive speed control (MPSC) and PI current control. This control algoritm is chosen than fully PI in both loops due to improve overall system stability and dynamic response. The IMC architecture offers advantages such as compactness, bidirectional power flow, and the elimination of bulky passive components, making it ideal for efficient motor drive systems. The proposed control method employs predictive algorithm using augmented state variable and cost function minimization technique. In addition, PI controllers here using a pole-assignment method. Both proposed controls aim to guarantee stability and responsiveness for dynamic performances. The MATLAB/Simulink is used here to simulate the system, incorporating practical motor parameters and space vector modulation techniques. Simulation results show that the control algorithm attains satisfactory speed performance, with minimal steady-state error 0.47%, overshoot below 2%, and fast settling time under various load 0.035 seconds and speed profiles. Additionally, the system performs robustly under reversed and sinusoidal speed commands, demonstrating its effectiveness and suitability for real-world industrial applications also need to implement in the experiment for the future works.
Frilled Lizard Optimization to Optimize Parameters Proportional Integral Derivative of DC Motor Widi Aribowo; Laith Abualigah; Diego Oliva; Toufik Mzili; Sabo Aliyu; Hisham A. Shehadeh
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.33973

Abstract

This paper presents a Proportional-Integral-Derivative (PID) parameter optimization method for direct current (dc) motors. The method utilizes a metaheuristic technique known as Frilled Lizard Optimization (FLO), which is inspired by natural processes. FLO draws inspiration from the lizard's hunting method of employing a sit-and-wait approach with great patience. The method is divided into two distinct phases: the exploration phase, which simulates a swift predator attack by a lizard, and the exploitation phase, which imitates the lizard's return to the treetop after feeding. This study confirms the effectiveness of FLO by conducting performance tests on the CEC2017 benchmark function and a DC motor. Through the simulations conducted on the CEC2017 benchmark function, it has been determined that FLO has superior exploration and exploitation capabilities. When testing a DC motor, it was discovered that the PID-FLO approach is effective in reducing overshoot and achieving optimal performance.
Power sharing based on starfish optimization algorithm in DC microgrid Aribowo, Widi; Abualigah, Laith; Oliva, Diego; Umar, Abubakar; Sabo, Aliyu; A. Shehadeh, Hisham
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.9784

Abstract

This paper presents a starfish optimization algorithm (SFOA) method for optimizing control parameters in DC microgrids. SFOA is a new metaheuristic inspired by biology to solve optimization problems, which simulates the behavior of starfish, including exploration, preying, and regeneration. SFOA consists of two main phases of exploration and exploitation. This paper evaluates the performance of SFAO on droop control of DC microgrids by comparing with walrus optimizer (WO) and grasshopper optimization algorithm (GOA). From the simulation, SFOA shows superior capability. Validation on DC microgrid control using integral of time-weighted absolute error (ITAE) and integral of time-weighted squared error (ITSE). Simulation results demonstrate that the proposed technique exhibits a superior ITAE relative to WO and GOA, which are 6.88% and 8%, respectively. The performance validation results demonstrate that the SFOA approach exhibits potential and effective performance. The proposed method on DC microgrid control has been successfully applied and shows promising performance. The proposed methodology is particularly suitable for renewable energy integration in isolated or resource-constrained regions.
Co-Authors A. Shehadeh, Hisham A.A. Ketut Agung Cahyawan W Abdullayev, Vugar Hacimahmud 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 Alfarid Hendro Yuwono Aljohani, Abeer Amaliah, Fithrotul Irda Anita Susanti Arief, Muhammad Baharuddin Arief, Rozihan Ariyanti, Karin Nur Fitria Ariyanto, Sudirman Rizki Arrashid, Rakhmad Arrashid, Rakhmad Agus As'ad Shidqy Aziz As’ad Shidqy Aziz Ayusta Lukita Wardani B, Nur Vidia Laksmi B., I Gusti Putu Asto Bambang Suprianto . Daeng Rakhmatullah Danang Aji Basudewa DIDIK PURWANTO Diego Oliva Dwi, Mochamad Hanif Edy Kurniawan Effendi, Moh. Zaenal Elsayed Abd Elaziz, Mohamed Erina Rahmadyanti Euis Ismayati Farid Baskoro Faruqi, Muhammad Ismail Feby Agung Pamuji Fendi Achmad Firdaus, Muhammad Riqi Fithrotul Irda Amaliah Fransisca, Yulia Hafid Al azzah Haratama, Kusuma Refa Heri Suryoatmojo Hermawan , Aditya Chandra Hermawan,, Aditya Chandra Hisham A. Shehadeh Ibrohim Ibrohim Ibrohim Igo Nanda Deka Zaymapa Ilham Amarulloh Isaac, Jacob Raglend Ismet Basuki Joko Joko Kevin Pranata Putra Khoirul Anwar Khoriri, Doddy Nur Laith Abualigah Liu, Tian-Hua Lucia Tri Pangesthi Lukita Wardani, Ayusta Luthfiyah Nurlela Ma'arif, Muhammad Fikrul Mahendra Widiyartono 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 Nita Kusumawati Nugrahani Astuti Nugroho, Yuli Sutoto Nur Vidia Laksmi B Nurdiansyah, Aristyawan Putra Nurlita, Ita Nurul Jaizah Oliva, Diego Pradipta, Moh. Alfiansyah Putera Putra, Alfredo Arianto Permana Putra, Andreas Perkasa Putro, Wahyu Sasongko R. Endro Wibisono Raden Mohamad Herdian Bhakti Rahmadian, Reza Rahmatullah, Daeng Rakhmad Agus Arrashid Ridwan, M. Nanda Tri Maulana Rina Harimurti Rosalin, Berliana Dzakiyya Rufi'i Ruzairi Abdul rahim Sabo Aliyu Sabo, Aliyu Salam, Muhammad Abdus Shehadeh, Hisham Shehadeh, Hisham A. Shidqy Aziz, As'ad Siti Sulandjari Soleimanian Gharehchopogh, Farhad Sri . Handayani Sri Dwiyanti Subuh Isnur Haryudo Suhermanto, Dimas Ahmad Nur Kholis Supari Muslim Supari Supari Syamsul Muarif Taufiqur Rohman Toufik Mzili Udin, Muhammad Syafi Umar, Abubakar Umaroh, Susi Tri Unit Three Kartini Wicaksono, Mochamad Hanif Dwi Widiyartono, Mahendra Wiyli Yustanti WRAHATNOLO, TRI YUNI YAMASARI Zahrotul Maulia Zangana, Hewa Majeed Zaymapa, Igo Nanda Deka