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Optimasi Penempatan dan Kapasitas Bank Kapasitor Untuk Mereduksi Rugi-Rugi Daya Menggunakan Kombinasi Metode Loss Sensitivity Factors dan Particle Swarm Optimization (PSO) Fikri Adi Anggara; Osea Zebua; Khairuddin Hasan
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 12 No. 2 (2018)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v12n2.2080

Abstract

Intisari — Sistem distribusi yang memiliki saluran panjang biasanya memiliki masalah rugi-rugi daya dan votage drop. Masalah ini dapat diatasi dengan cara menempatkan bank kapasitor pada sistem distribusi. Masalah utama dalam penempatan bank kapasitor adalah menentukan lokasi dan kapasitas yang optimal. Penelitian ini menggunakan metode Loss Sensitivity Factors (LSF) untuk menentukan kandidat bus yang akan dipilih sebagai lokasi penempatan bank kapasitor dan metode algoritma Particle Swarm Optimization digunakan untuk mencari kapasitas optimal bank kapasitor yang dipasang. Simulasi dilakukan dengan menggunakan perangkat lunak MATLAB. Studi kasus yang digunakan adalah kasus uji IEEE 10 bus dan penyulang Pakis di gardu induk Menggala. Hasil simulasi menunjukkan bahwa kombinasi kedua metode dapat menentukan lokasi penempatan dan kapasitas optimal bank kapasitor dengan reduksi rugi-rugi daya yang minimum untuk kedua studi kasus.Kata kunci — Rugi-Rugi Daya, Bank Kapasitor, Loss Sensitivity Factors, Algoritma Particle Swarm Optimization. Abstract — Distribution systems that have long lines usually have problems with power losses and votage drop. This problem can be overcome by placing a bank capacitor in the distribution system. The main problem in the placement of bank capacitors is determining the optimal location and capacity. This study uses the Loss Sensitivity Factors (LSF) method to determine the candidate bus that will be selected as the location of the placement of bank capacitors and the Particle Swarm Optimization algorithm method is used to find the optimal capacity of the installed bank capacitor. Simulation is done using MATLAB software. The case studies used were the IEEE 10 bus and Pakter feeder test cases at the Menggala substation. The simulation results show that the combination of the two methods can determine the placement location and optimal capacitor capacity of the bank by reducing the minimum power losses for the two case studies.Keywords— Active power losses, Capacitor Bank, Loss Sensitivity Factors, Particle Swarm Optimization Algorithm.
Peran Aktif Mahasiswa KPM STAIN Meulaboh dalam Pembuatan Plang Selamat Datang: Upaya Penguatan Identitas Lokal Gampong Lhok Bubon Indah Zahra; Khairuddin Hasan; Musayyada; Vira Yunidar; Evi Susanti; Rezi Fahleva; Pretty Ferdiyanti; Waldi Fajar Ramadhan
MEUSEURAYA - Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (Juni 2025)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat STAIN Teungku Dirundeng Meulaboh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47498/meuseuraya.v4i1.4566

Abstract

The Community Service Lecture (KPM) activity of STAIN Teungku Dirundeng Meulaboh in Gampong Lhok Bubon aims to strengthen local identity through the creation of a welcome sign that integrates local cultural values. Participatory methods are used by involving the community in the design, creation, and placement of the sign, as well as the mentoring program for the Al-Qur'an Education Park (TPQ) and social services. The result is the creation of a welcome sign that combines traditional Acehnese motifs, Islamic calligraphy, and local language, becoming a symbol of community pride. The high level of active participation of residents shows a sense of ownership of the program. In addition, the TPQ activity succeeded in increasing children's interest in learning, while the social service improved environmental cleanliness. Collaboration between students, lecturers, and the community proves that a culture-based approach can be an effective solution in preserving local identity amidst the challenges of globalization. This program not only strengthens local wisdom values, but also becomes a model of sustainable service for community development.