Jurnal Mosfet https://jurnal.umpar.ac.id/jmosfet <p style="text-align: justify;"><strong>Jurnal MOSFET</strong> adalah jurnal berbasis OJS<strong> (e-ISSN: 2775-5274)</strong> yang mempublikasikan karya ilmiah yang dihasilkan para peneliti akademisi dan praktisi di bidang <strong>Teknik Elektro. </strong>Diterbitkan oleh Fakultas Teknik, Universitas Muhammadiyah Parepare (FT-UMPAR). Artikel yang dikirim ke <strong>J-MOSFET</strong> merupakan hasil penelitian eksprimental atau teoritis, artikel ulasan dan studi kasus yang sebelumnya belum pernah dipublikasikan dan tidak sedang dipertimbangkan untuk dipublikasi di tempat lain. Penerbitan naskah yang diserahkan telah melalui proses penala’ahan Mitra Bestari <em>(peer-review)</em>.</p> Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR) en-US Jurnal Mosfet 2775-5274 Pengaruh Lama Pemakaian Minyak Shell Diala B Terhadap Kuat Tegangan Tembus https://jurnal.umpar.ac.id/jmosfet/article/view/3892 <p>The electrical energy distribution of the power plant to customers was required the role of transformer that could increase and decrease voltage levels. Transformers was essential equipment in electricity distribution, both in transmission and distribution systems. Transformer was arranged of conductive materials and operated continuously, therefore it was need to be protected by insulation. The liquid insulation was commonly used, such as Shell Diala B which focused on this research. Although insulating oil was able to use over a long period, it might be regularly monitored because its ability to protect electrical equipment deteriorate. This paper was used laboratory research as the method. The researcher analyzed the effect of usage duration to determine its dielectric breakdown strength. It was found that the longer Shell Diala B oil is used, the more its quality declines, indicated by increased turbidity and decreased dielectric performance.</p> Aulidina Dwi Nur Andriyanti Copyright (c) 2025 Jurnal Mosfet 2025-07-30 2025-07-30 5 2 147 158 10.31850/jmosfet.v5i2.3892 Optimasi Peramalan Beban Listrik dengan Regresi Linear Berganda Berbasis Algoritma Genetika: Studi Kasus Kabupaten Soppeng https://jurnal.umpar.ac.id/jmosfet/article/view/4024 <p>Electricity is a crucial infrastructure supporting economic and social development, thus requiring reliable supply planning. In Soppeng Regency, historical data from 2019–2023 show population growth from 226,992 to 240,955 people and GRDP increase from 10,938 to 14,909 billion rupiah, driving higher electricity demand. Customer numbers rose in the household sector from 29,438 to 34,376 and in industry from 33 to 58, with similar upward trends in connected load and energy use. This study addresses the challenge of accurate forecasting by applying Multiple Linear Regression (MLR) optimized with Genetic Algorithm (GA). Forecasting results up to 2028 predict household customers reaching 40,449 and industrial customers 89, while connected load grows from 35.7 to 34.0 million VA in households and from 8.6 to 17.4 million VA in industry. Electricity consumption is projected to exceed 41.8 million kWh in households and 13.5 million kWh in industry by 2028. Model evaluation using Mean Absolute Percentage Error (MAPE) confirms reliable accuracy, making the MLR–GA approach effective for future capacity planning.</p> Muhammad Khaidir Saktiani Karim Muhammad Fathur Rahman N Syahrul Mustafa Reihan Virgiawan Copyright (c) 2025 Jurnal Mosfet 2025-09-17 2025-09-17 5 2 159 174 10.31850/jmosfet.v5i2.4024