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All Journal Unram Journal of Community Service (UJCS) Jurnal Sains dan Teknologi
Qorib, Moh. Fathul
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Aerospace Engineering Automotive Engineering 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 Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences

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Reconstruction of Technology Development "Energy Independent Village Based on Vortex Hydro Power Plant (PLTHV)" through the Application of New and Renewable Energy Technology Basri, Muhammad Hasan; Imaduddin, Ilmirrizki; Indarto, Bachtera; Soleh, Dicky Mas'udi; Qorib, Moh. Fathul; Andriansah, Muhammad
Unram Journal of Community Service Vol. 6 No. 4 (2025): December: In Progress
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1259

Abstract

This community service program, funded by the Ministry of Education, Culture, Research, and Technology in 2025, was implemented in Duren Village, Probolinggo Regency, through collaboration between Nurul Jadid University (UNUJA) and the Institut Teknologi Sepuluh Nopember (ITS). The project aimed to develop an energy self-sufficient village by reconstructing the Hydro Vortex Power Plant (PLTHV) using renewable energy technologies such as the Electronic Voltage Stabilizer (EVS) and Power Circuit Breaker (PMT). The activities included field surveys, training, installation, testing, and mentoring. The reconstructed PLTHV successfully increased output capacity from 130 watts to 217 watts, improving energy efficiency and stability while reducing household electricity costs by approximately IDR 200,000 per month. Beyond technical improvements, the program enhanced community knowledge, encouraged active participation in managing renewable energy systems, and provided experiential learning opportunities for students. This initiative supports Sustainable Development Goal 7 (Affordable and Clean Energy) and demonstrates the potential of community-based renewable energy projects to reduce fossil fuel dependency and strengthen rural energy resilience.
Perbandingan Algoritma Particle Swarm Optimization dengan Ant Colony Optimization untuk Mengoptimasi Maximum Power Point Tracking pada Kondisi Partial Shading Hasan, Fuad; Al-Rasyid, Hasan; Rachmatullah, Moch. Ichsan; Qorib, Moh. Fathul
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3990

Abstract

The Solar Power Generation System (PLTS) is a renewable energy solution that is increasingly being adopted. However, its performance is greatly influenced by environmental conditions, particularly the phenomenon of partial shading, which can cause the power curve of solar panels to exhibit multiple local maximum points. This condition makes conventional Maximum Power Point Tracking (MPPT) algorithms struggle to identify the Global Maximum Power Point (GMPP). To address this challenge, various artificial intelligence–based algorithms have been applied. This study aims to compare the performance of two popular optimization algorithms, Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), in optimizing MPPT under partial shading conditions. A quantitative approach with an experimental method was used, where simulations of the solar panel system were conducted using MATLAB/Simulink. Partial shading scenarios were configured to evaluate the robustness of each algorithm in multi-peak conditions. Data collected from the simulations included the maximum power achieved, convergence time, and output stability. The results of this study are expected to provide comparative insights into the effectiveness of both algorithms in handling inconsistent irradiance in PLTS, as well as contribute to the development of more efficient and adaptive intelligent MPPT systems. This research also addresses the gap in comparative studies between PSO and ACO within the context of MPPT for renewable energy systems.
Co-Authors Al-Rasyid, Hasan Andriansah, Muhammad Bachtera Indarto, Bachtera Fuad Hasan Imaduddin, Ilmirrizki Muhammad Hasan Basri Rachmatullah, Moch. Ichsan Soleh, Dicky Mas'udi