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Pembinaan Pemasangan Pembangkit Listrik Tenaga Matahari bagi Santri Dayah Mini Banda Aceh Lubis, Rakhmad Syafutra; Suriadi, Suriadi; Syukri, Mahdi; Siregar, Ramdhan Halid; Masri, Masri; Away, Yuwaldi
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v5i3.684

Abstract

Solar energy is a renewable energy source that has become increasingly popular in recent years as an electricity source. However, the availability of trained personnel to install rooftop solar panels is limited. This community service program was conducted to provide training in residential solar system installation for students from Dayah Mini Banda Aceh. The training took place in the Power Electronics and Renewable Energy Laboratory at Universitas Syiah Kuala, where theoretical training on renewable energy was combined with demonstrations of equipment and simulated installation practice. The modules included rail mounting, panel positioning, inverter connections, charge controller setup, and wiring in series and parallel. Students were guided by lecturers and assisted by engineering students who had already undergone training in this field. They exhibited great enthusiasm and completed all the stages of installation successfully. This program not only addresses the shortage of workers with such skills in the solar installation industry but also helps students from low-income families acquire these practical competencies that can lead to jobs or entrepreneurship within the ever-growing sector of renewable energy; thus reducing unemployment among their communities while supporting Indonesia's shift towards sustainable energy.
Transformer Oil Failure Analysis Based on Dissolved Gas Analysis (DGA) Test Using Breakdown Voltage and Fuzzy Logic Methods Lubis, Rakhmad Syafutra; Akbar, Muhammad Hafizh; Siregar, Ramdhan Halid; Masri, Masri
Journal of Engineering and Science Vol. 4 No. 2 (2025): December
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jes.v4i2.381

Abstract

A common problem that occurs in transformers is failure of the insulating oil. One solution to prevent this disruption is to analyze indications of insulating oil failure. Several previous studies on the analysis of transformer insulating oil failure were based on dissolved gas content tests of transformer oil samples. The research was conducted using several methods in processing dissolved gas test results data, such as the TDCG (Total Dissolved Combustible Gas), Roger's Ratio, and Duval's Triangle methods. In this study, two methods were used for comparison, namely the Breakdown Voltage method and the Fuzzy Logic method. The results obtained show that the condition of the insulating oil using fuzzy logic in the Matlab simulation is in accordance with the condition of the transformer insulating oil based on its breakdown voltage characteristics, namely in a normal state. Meanwhile, gas content that is at a high or very high level has a significant impact on the indication of failure in transformer insulating oil, namely the concentration of TDCG and nitrogen gas content.
Particle Swarm Optimization-Based Recloser Placement for Reliability Improvement in the Kuala ULP Distribution System Ramdhan Halid Siregar; Ardiansyah Putra Karo; Syahrizal
Indonesian Journal of Technical and Vocational Education Training Vol. 2 No. 2 (2025): DECEMBER 2025
Publisher : MANDAILING GLOBAL EDUKASIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62945/ijtvet.v2i2.853

Abstract

In an electric power distribution system, one of the things that needs to be considered is the reliability of the electric power system. Currently, the location of the recloser is very important for the reliability of the power system. The parameters used for network reliability are the SAIFI and SAIDI values. The SAIFI and SAIDI values can be determined based on the failure time and failure rate in one year. The smaller the SAIFI and SAIDI values, the better the reliability. The purpose of this study is to determine the best recloser position on the MG 03 ULP Kuala feeder grid, Langkat Regency. The method chosen in determining the research location uses particle swarm optimization (PSO) by implementing MATLAB R2021a software. The simulation results show that the reliability before and after reinstallation has changed. SAIFI and SAIDI before reintegration are 1.2495 hours/customer/year and 3.3555 times/customer/year, respectively.