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All Journal REKAYASA e-Jurnal Arus Elektro Indonesia ELINVO (Electronics, Informatics, and Vocational Education) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JTT (Jurnal Teknologi Terpadu) JURNAL INTEGRASI INOVTEK POLBENG Jurnal Teknologi International Journal of Engineering, Technology and Natural Sciences (IJETS) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Budimas : Jurnal Pengabdian Masyarakat Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Journal of Computer, Electronic, and Telecommunication (COMPLETE) MACHINERY: Jurnal Teknologi Terapan Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Electrical and Intelligent Systems (JEIS)
Rusli, Muhammad Rizani
Department Of Electrical Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
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Commutation Performance Enhancement of Sensorless BLDC Motor Using Finite Impulse Response Filtering in Back-EMF Detection Ony Asrarul Qudsi; Era Purwanto; Sulis Wanto; Muhammad Rizani Rusli
Jurnal Teknologi Terpadu Vol 14 No 1 (2026): JTT (Jurnal Terpadu Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v14i1.2987

Abstract

Sensorless Brushless Direct Current (BLDC) motors are widely used in industrial applications due to their high efficiency and low maintenance requirements. However, commutation based on Back-Electromotive Force (Back-EMF) zero-crossing detection is highly susceptible to noise, leading to commutation timing inaccuracies. This paper proposes an improvement in sensorless BLDC motor commutation performance through the application of a Finite Impulse Response (FIR) digital filter to the Back-EMF detection signal. The FIR filter is designed to attenuate high-frequency harmonic components without compromising system stability. The proposed method is implemented on a three-phase inverter system employing six-step commutation controlled by a microcontroller. Simulation results indicate that the dominant noise frequency in the Back-EMF signal is reduced from 347.6 Hz to 212.5 Hz after filtering. Furthermore, hardware experimental results demonstrate a reduction in disturbance frequency from 317.23 Hz to 265.43 Hz. The application of the FIR filter improves the reliability of zero-crossing detection and enhances commutation timing accuracy compared to an unfiltered system. These results confirm that the proposed approach is effective in improving the commutation performance of sensorless BLDC motors based on Back-EMF detection.
Comparative Performance Evaluation of Electric Powertrains in ICE Motorcycle Conversion Muhammad Rizani Rusli; Eko Henfri Binugroho; Mochamad Ari Bagus Nugroho; Himmawan Sabda Maulana; Raden Sanggar Dewanto; Teguh Hady Ariwibowo; Dadet Pramadihanto; Mentari Putri Jati
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2163

Abstract

Electrifying Indonesia’s motorcycle fleet is critical for reducing urban emissions and fossil fuel dependence. This study experimentally evaluates three powertrain configurations—hub motor, continuously variable transmission (CVT), and single-gear ratio—for converting internal combustion engine (ICE) motorcycles to electric two-wheelers (E2W). Using a Honda Vario 125 platform with a 72 V, 3 kW Brushless DC motor and 1.44 kWh lithium-ion battery, performance was assessed via chassis dynamometer and real-world urban road tests. The single-gear ratio configuration demonstrated superior overall performance, achieving 5.15 kW peak wheel power, 188.7 N·m torque, fastest acceleration (0–128 km/h in 22 s), and highest energy efficiency (37.0 km/kWh), enabling a 51.8 km range per charge. The hub motor excelled in top speed, while the CVT consistently underperformed. Benchmarking shows up to 104 % efficiency improvement over prior designs. These results provide quantitative guidance for converters, manufacturers, and policymakers, establishing the single-gear ratio as the optimal solution for urban and commercial E2W applications and supporting sustainable mobility initiatives.
Design, Considerations, and Implementation of a Solar-Powered Smart Street Lighting System with Integrated CCTV and IoT-Based Monitoring Muhammad Rizani Rusli; Rachma Prilian Eviningsih; Lucky Pradigta Setiya Raharja; Luki Septya Mahendra; Achmat Ridwan Nudin; Naufal Fadhlirahman Dheningrat; Akmal Fikri; Mentari Putri Jati
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 8 No 1 (2026): International Journal of Engineering, Technology and Natural Sciences
Publisher : Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijets.v8i1.662

Abstract

This study presents the design, implementation, and short-term experimental validation of a standalone solar-powered smart street lighting system integrating LED illumination, CCTV surveillance, and Internet of Things (IoT)-based real-time monitoring within a single pole-mounted platform. Load profiling identified a total energy demand of 1176 Wh/day, which increased to 1529 Wh/day after applying a 30% design margin. These requirements guided the selection of a 460 Wp monocrystalline photovoltaic module, a 40 A maximum power point tracking charge controller, and a 12.8 V, 150 Ah LiFePO₄ battery. Laboratory testing demonstrated the expected bulk/MPPT, boost, and float charging stages, while accelerated battery testing at 0.27C measured a capacity of 151 Ah. During five consecutive days of field testing under sunny to partly cloudy conditions, the post-charging state of charge (SOC) ranged from 90.0% to 97.2%, while the next-morning SOC ranged from 58.6% to 68.4%. The average nighttime SOC reduction was 32.8%, with a range of 25.1% to 37.3%. The IoT platform provided real-time monitoring of photovoltaic generation, battery condition, and load operation, while maintaining communication availability above 99% during the observation period. These results demonstrate short-term autonomous operation and technical feasibility under the observed field conditions. Longer seasonal testing and a complete life-cycle economic assessment remain necessary to evaluate long-term reliability and financial feasibility.
Experimental Validation of Enhanced Artificial Rabbit Optimization (ARO)-Based MPPT Method for Photovoltaic Systems Under Partial Shading Conditions Moh. Zaenal Efendi; Ircham Badrus Rahmadani; Muhammad Rizani Rusli
Journal of Electrical and Intelligent Systems Vol. 1 No. 1 (2026): April
Publisher : Politeknik Elektronika Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/jeis.v1i1.1

Abstract

Partial shading often introduces multiple local maxima into the power–voltage (P-V) characteristics of photovoltaic (PV) systems, which makes conventional maximum power point tracking (MPPT) methods prone to converging to suboptimal operating points. To overcome this challenge, this study proposes an Enhanced Artificial Rabbit Optimization (ARO)-based MPPT method by incorporating a time-varying adaptive inertia-weight mechanism, enabling more accurate global maximum power point (GMPP) tracking under nonlinear irradiance conditions. The proposed method was experimentally validated on a laboratory-scale PV platform consisting of three series-connected PV modules, a SEPIC converter, and an STM32-based controller tested under four irradiance patterns. The GMPP reference values were determined through direct experimental P-V scanning. The experimental results indicate that the enhanced method consistently performed better than the conventional ARO baseline, achieving a maximum output power of 98.68 W with a tracking accuracy of 99.93%. Across all test cases, the extracted power and tracking accuracy improved by an average of 1.24% and 1.21%, respectively, without a noticeable increase in tracking time.
Co-Authors -, Irianto -, Suryono -, Sutedjo Abdillah Aziz Muntashir Achmat Ridwan Nudin Agusalim, Imam Dui Ahmad Firyal Adila Akmal Fikri Akmal Fikri Arman Jaya Arman Jaya Aulia Rahma Annisa Dadet Pramadihanto Diah Septi Yanaratri Dui Agusalim, Imam Eka Prasetyono, Eka Eko Hadi Suharyanto, Hendik Eko Henfri Binugroho Endro Wahjono Endro Wahjono, Endro Epyk Sunarno Era Purwanto Evi Nafiatus Sholikhah Farid Dwi Murdianto Ferdiansyah, Indra Gigih Prabowo Gilang Rizki Saputra Gumilang Samino, Rangga Yoga Habibi, Muhammad Nizar Handri Toar Hartono, Helleina Rejeki Putri Hary Oktavianto Hendik Eko H Suharyanto Himmawan Sabda Maulana Imam Dui Agusalim Indhana Sudiharto Ircham Badrus Rahmadani Irianto Irianto Jaya, Arma Jaya, Arma Lucky Pradigta Setiya Raharja Lucky Pradigta Setiya Raharja Luki Septya Mahendra Luki Septya Mahendra Mentari Putri Jati Mentari Putri Jati Mentari Putri Jati MOCHAMAD ARI BAGUS NUGROHO Mohammad Zaenal Efendi Naufal Fadhlirahman Dheningrat Nugraha, Syechu Dwitya Nugroho, Mochammad Ari Bagus Ony Asrarul Qudsi Praharsena, Bayu Praharsena, Bayu Prilian Eviningsih, Rachma Purawanto, Era Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Raden Sanggar Dewanto Rakhmawati, Renny Ridwan Ridwan Risyda Zakiyah Hanim Sanggar Dewanto, Raden Saputra, Gilang Rizki Satria, Novian Fajar Septi Yanaratri, Diah Setiya Raharja, Lucky Pradigta Suharyanto, Hendik Eko Hadi Sulis Wanto Suryono Suryono Sutedjo Sutedjo Taufiqurrahman Taufiqurrahman Teguh Hady Ariwibowo wk, Ridwan wk, Ridwan Yakin, Ainul Yanaratri, Diah Septi