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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 Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 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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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.
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.
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 : National Research and Innovation Agency

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.
PELATIHAN PENGGUNAAN DAN PEMELIHARAAN PEMBANGKIT TENAGA SURYA PADA DESA BEGAN, KECAMATAN GLAGAH, KABUPATEN LAMONGAN JAWA TIMUR Ayusta Lukita Wardani; Mahendra Widiyartono; widi aribowo; Reza Rahmadian; Aditya Chandra Hermawan; Nur Vidia Laksmi B; Daeng Rakhmatullah; As'ad Shidqy Aziz; Fithrotul Irda Amaliah; Alfarid Hendro Yuwono
Jurnal Lintas Karsa Vol. 2 No. 1 (2025): Jurnal Lintas Karsa (November 2025)
Publisher : S1 Teknik Mesin Fakultas Teknik. Universitas Negeri Surabaya Gedung A6 Kampus UNESA Ketintang Surabaya 60231

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/lintaskarsa.v2i01.74039

Abstract

Pemanfaatan energi surya merupakan salah satu solusi strategis dalam meningkatkan kemandirian energi dan kualitas fasilitas umum di wilayah pedesaan. Desa Began, Kecamatan Glagah, Kabupaten Lamongan, Jawa Timur, memiliki potensi energi surya yang cukup besar, namun pemanfaatan dan pemeliharaan sistem pembangkit listrik tenaga surya (PLTS) masih menghadapi keterbatasan pengetahuan dan keterampilan masyarakat. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas masyarakat dalam penggunaan dan pemeliharaan PLTS, khususnya PLTS Penerangan Jalan Umum (PJU), melalui pelatihan dan pendampingan teknis. Metode pelaksanaan meliputi survei awal pada fasilitas desa, yaitu masjid, jalan desa, dan area pemakaman, untuk menentukan lokasi penempatan yang tepat, dilanjutkan dengan pelatihan penggunaan dan pemeliharaan PLTS yang dilengkapi dengan pretest dan posttest sebagai instrumen evaluasi. Selain itu, masyarakat dibekali dengan buku saku sebagai panduan praktis penggunaan, pemeliharaan, dan penanganan gangguan (troubleshooting). Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan antusiasme masyarakat terhadap pemanfaatan energi surya, yang tercermin dari peningkatan hasil posttest serta partisipasi aktif peserta selama pelatihan. Kegiatan ini diakhiri dengan serah terima PLTS PJU dan buku saku kepada masyarakat Desa Began sebagai luaran nyata kegiatan pengabdian. Secara keseluruhan, kegiatan ini berkontribusi terhadap pencapaian SDG 7 (Energi Bersih dan Terjangkau),dan SDG 11 (Kota dan Permukiman Berkelanjutan) melalui peningkatan kemandirian energi dan kapasitas masyarakat desa.
A Portable Solar-Powered Wireless Charger: Design, Implementation, and Performance Analysis Alfarid Hendro Yuwono; Deshinta Arrova Dewi; Rajani Balakrishnan; Reza Rahmadian; Nafi Isbadrianingtyas; Widi Aribowo; Vugar Hacimahmud Abdullayev; Aliyu Sabo
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 3 (2026): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i3.15226

Abstract

The increasing demand for portable and off-grid charging solutions has motivated the development of solar-powered wireless power transfer (WPT) systems for consumer electronics. This paper presents the design, implementation, and experimental performance evaluation of a portable solar-powered wireless charger that integrates a 3-Wp photovoltaic (PV) panel with a near-field inductive coupling WPT system operating at a resonant frequency of 90 kHz. The research contribution is a fully integrated, low-cost prototype that demonstrates the feasibility of combining solar energy harvesting with contactless inductive charging for mobile devices, addressing the gap in portable off-grid wireless charging solutions. The system comprises a solar panel connected to a powerbank serving as an energy buffer, a series-series (SS) compensated inductive coil pair, a high-frequency inverter, and an AC/DC rectifier stage. Experimental testing was conducted in Malang City, Indonesia, under natural sunlight conditions. Results showed that the solar panel output voltage ranged from 6.2 V to 6.8 V under direct sunlight, declining by more than 30% under cloudy conditions. Peak power transfer efficiency of 65.3% was achieved at the 90 kHz resonant frequency, and efficiency decreased inversely with coil separation distance, dropping from 65.3% at 0 cm to below 10% at 5 cm. The powerbank required approximately 460 minutes of solar charging to reach 4 V, and the mobile phone battery charged at an average rate of 8.5 minutes per 1% capacity increase, compared to approximately 4.2 minutes per 1% for a standard wired charger. The study demonstrates the practical feasibility of portable solar-WPT integration for outdoor and emergency charging applications, while identifying weather dependence and limited effective coil distance as primary constraints for future optimization. This research aligns with the United Nations Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) by promoting renewable energy access and photovoltaic technology for off-grid communities, SDG 9 (Industry, Innovation and Infrastructure) through the development of innovative low-cost wireless charging infrastructure, SDG 11 (Sustainable Cities and Communities) by enabling resilient and portable energy solutions for underserved and emergency settings, and SDG 13 (Climate Action) by advancing clean energy alternatives that reduce dependence on fossil-fuel-based electricity.
Motorcycle Parking Availability Monitoring Using YOLOv5 and Mobile-Based Systems R. Endro Wibisono; Anita Susanti; Kusuma Refa Haratama; Widi Aribowo; Karin Nur Fitria Ariyanti; Diego Oliva; Hisham A. Shehadeh; Abubakar Umar
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 3 (2026): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i3.16087

Abstract

The increasing number of motorcycles in developing countries has intensified parking management challenges, particularly in high-density environments with irregular vehicle arrangements. This study proposes a motorcycle parking availability detection system using the YOLOv5 object detection algorithm to address limitations of conventional parking methods. The research contribution is the development of a context-aware detection framework using a locally collected dataset and the evaluation of its performance under real-world parking conditions.The dataset consists of 1,200 images collected from campus parking areas and is divided into training, validation, and testing sets. The images were annotated into occupied and vacant classes and trained using YOLOv5 with 100 epochs. Model performance was evaluated using precision, recall, F1-score, and mean Average Precision (mAP@0.5) on a held-out test set.The results show that the model achieves an F1-score of 0.57 and mAP@0.5 of 0.566, indicating moderate detection performance in dense and occluded environments. Although a precision of 1.00 is obtained at a confidence threshold of 0.978, this condition significantly reduces recall, highlighting a trade-off between detection accuracy and coverage. The confusion matrix and recall–confidence analysis reveal that errors are primarily caused by occlusion, shadow effects, and background interference. Compared to previous studies focusing on car parking detection, this system demonstrates comparable performance while addressing the unique complexity of motorcycle parking. However, the relatively small dataset size and environmental variability limit generalization.In conclusion, the proposed system provides a feasible initial approach for motorcycle parking detection, but further improvements in dataset diversity, annotation quality, and model robustness are required to achieve reliable large-scale deployment.
Sand cat swarm optimization for controlling PID in DC motor Widi Aribowo; Ehab Saif Ghith; Reza Rahmadian; Mahendra Widyartono; Ayusta Lukita Wardani; Aditya Prapanca; Nur Vidia Laksmi B.
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 2: April 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i2.25630

Abstract

In this article, the direct current (DC) motor control approach is presented using the sand cat swarm optimization (SCSO) method to obtain the best proportional integral derivative (PID) parameters. DC motors are popular equipment. In addition, DC motors are easy to apply. SCSO is a method that adopts the desert cat’s life in nature when searching for prey. This cat is able to detect low frequencies below 2 kHz and also has an extraordinary ability to dig for prey. This research was carried out using the MATLAB/Simulink application. To obtain the performance of the SCSO method, a comparison method was used, namely particle swarm optimization (PSO), gray wolf optimizer (GWO), whale optimization algorithm (WOA), and aquila optimizer (AO). From the results of the study, it was found that the settling time value and integral total weighted absolute value error (ITAE) value of the SCSO method were the best compared to other methods.
Co-Authors A. Shehadeh, Hisham A.A. Ketut Agung Cahyawan W Abeer Aljohani Abualigah, Laith Abubakar Umar Abubakar Umar 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 Akhmad Rizqi Kamal Alfarid Hendro Yuwono Alfarid Hendro Yuwono Aliyu Sabo Aliyu Sabo Aliyu Sabo Aljohani, Abeer Amaliah, Fithrotul Irda Anita Susanti Arief, Muhammad Baharuddin Arief, Rozihan Aristyawan Putra Nurdiansyah Ariyanto, Sudirman Rizki Arrashid, Rakhmad Arrashid, Rakhmad Agus Asyraf Rahmat Hidayatulloh Asyraf Ayusta Lukita Wardani Aziz, As’ad Shidqy B, Nur Vidia Laksmi B., I Gusti Putu Asto Bambang Suprianto . Daeng Rakhmatullah Danang Aji Basudewa Deshinta Arrova Dewi Didik Purwanto Diego Oliva Diego Oliva Diego Oliva Dwi, Mochamad Hanif Edy Kurniawan Effendi, Moh. Zaenal Ehab Saif Ghith Elsayed Abd Elaziz, Mohamed Erina Rahmadyanti Euis Ismayati Farid Baskoro Farid Baskoro Faruqi, Muhammad Ismail Feby Agung Pamuji Fendi Achmad Firdaus, Muhammad Riqi Fithrotul Irda Amaliah Fransisca, Yulia Hafid Al azzah Heri Suryoatmojo Hermawan , Aditya Chandra Hermawan,, Aditya Chandra Hewa Majeed Zangana Hisham A. Shehadeh Hisham A. Shehadeh Hisham Shehadeh Ibrohim Ibrohim Ibrohim Igo Nanda Deka Zaymapa Ilham Amarulloh Ismet Basuki Jacob Raglend Isaac Joko Joko Karin Nur Fitria Ariyanti Kevin Pranata Putra Khoirul Anwar Khoriri, Doddy Nur Kusuma Refa Haratama Laith Abualigah Laith Abualigah 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 Syahril Mubarok Muhammad Taufiqurrohman, Muhammad Munoto Munoto Musthofa, Achmad Malikur Robbani Mzili, Toufik Nafi Isbadrianingtyas Nita Kusumawati Nugrahani Astuti Nugroho, Yuli Sutoto Nur Vidia Laksmi Nur Vidia Laksmi B Nurlita, Ita Nurul Jaizah Oliva, Diego Pradipta, Moh. Alfiansyah Putera Putra, Andreas Perkasa R. Endro Wibisono Raden Mohamad Herdian Bhakti Rahmadian, Reza Rahmatullah, Daeng Rajani Balakrishnan Rakhmad Agus Arrashid Reza Rahmadian Ridwan, M. Nanda Tri Maulana Rina Harimurti Rosalin, Berliana Dzakiyya Ruzairi Abdul rahim Sabo Aliyu Sabo, Aliyu Safira Tri Handini Ainul Salam, Muhammad Abdus Shehadeh, Hisham A. 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 Umaroh, Susi Tri Unit Three Kartini Vugar Hacimahmud Abdullayev Wahyu Sasongko Putro Wicaksono, Mochamad Hanif Dwi Widiyartono, Mahendra Wiyli Yustanti WRAHATNOLO, TRI Yeni Anistyasari Yuni Yamasari Zahrotul Maulia Zangana, Hewa Majeed Zaymapa, Igo Nanda Deka