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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering Continuity
Reza Razali, Makmun
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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KREARSAINTIFIK : KELAS EDUKASI ARSITEKTUR HEMAT ENERGI BERBASIS SAINTIFIK DI SMPN 1 ARGAMAKMUR Prihatiningrum, Atik; Anom Ramawangsa, Panji; Reza Razali, Makmun
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 5 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i5.1739-1745

Abstract

Peningkatan kebutuhan hidup terhadap konsumsi energi mengakibatkan permasalahan lingkungan yang berdampak pada kenaikkan emisi CO2. Dampak ini juga berpengaruh terhadap fenomena perubahan iklim akibat penumpukan gas-gas pada atmosfer bumi. Hal ini mencuatkan ide dalam membuat konsep bangunan hemat energi dengan cara memodifikasi iklim luar sehingga nyaman. SMP Negeri 01 Bengkulu Utara menggunakan kurikulum mata pelajaran wajib berupa materi energi. Pendekatan saintifik merupakan proses belajar mengajar sehingga siswa tidak bergantung dari guru namun dapat informasi dari luar. Metode kegiatan meliputi diskusi, ceramah, dan pendampingan menyusun gubah ruang yang hemat energi berbasis software Google Sketchup guna mendapatkan bentuk gubah ruang yang hemat energi.
Genetic Algorithm-Based Contingency Ranking for the 500 kV JAMALI Interconnection System Priyadi, Irnanda; Daratha, Novalio; Rodiah, Yuli; Anggraini, Ika Novia; Sutradi, Tri; Sri Wahyuni, Ade; Reza Razali, Makmun
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.332

Abstract

The performance of an electric power system is strongly tied to how well it can handle disturbances. In daily operation, one of the most frequent and serious disturbances is the loss of a transmission line. When a line trips, its load must be shared by the rest of the network. Sometimes this redistribution is harmless, but in stressed conditions it can create overloads and trigger further outages. To reduce this risk, system operators rely on contingency analysis. The (N-1) criterion, which considers the effect of losing a single component, is the most common standard. However, when applied to a large network, the number of cases becomes very high, and the analysis can be time-consuming. In this work, contingency ranking using a Genetic Algorithm (GA) is studied for two systems: the IEEE 30-bus test grid and the 500 kV Java–Madura–Bali (JAMALI) interconnection in Indonesia. The GA follows the usual cycle of initialization, selection, crossover, mutation, and fitness evaluation, with the Voltage Performance Index (VPI) used to measure severity. Different parameter settings were tested. The results show that line 36 (bus 28–27) is most critical in the IEEE 30-bus system with a VPI of 56.5915, while line 35 (Bangil–Paiton) is most critical in the JAMALI system with a VPI of 95.3947. These outcomes highlight the usefulness of GA in identifying vulnerable transmission lines.
Co-Authors Anggraini, Ika Novia Anom Ramawangsa, Panji Atik Prihatiningrum, Atik Daratha, Novalio Irnanda Priyadi Rodiah, Yuli Sri Wahyuni, Ade Sutradi, Tri