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EFFICIENCY AND RELIABILITY ANALYSIS OF SOLAR POWER GENERATING SYSTEM FOR 450 VA APPLICATION IN SIRUAR VILLAGE, TOBA REGENCY Nugraha, Satria; Wibowo, Pristisal; Siagian, Parlin
Bahasa Indonesia Vol 16 No 06 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i06.352

Abstract

This study aims to analyze the efficiency and reliability of a solar power generation system (PLTS) for household applications with a power of 450 VA in Siruar Village, Toba Regency. PLTS is a potential solution to meet electricity needs in remote areas that are difficult to reach by conventional electricity networks. This study includes evaluation of solar panel performance, energy conversion efficiency, and analysis of system reliability in providing a stable electricity supply. The research method involves collecting technical data from the installed PLTS system, analyzing energy efficiency using input and output power parameters, and measuring reliability indices such as duration of interruption and frequency of blackouts. The results of the study show that the PLTS system is able to produce sufficient electrical energy for basic household needs, with energy conversion efficiency reaching 89.74% to 97.22% and a level of reliability that meets operational standards. This study contributes to supporting the development of renewable energy in rural areas and becomes a reference in planning and optimizing similar PLTS systems in the future.
Analisis Performansi Kabel N2XY Terhadap Jatuh Tegangan Pada Sistem Tiga Fasa Menggunakan Etap dan Monitoring Real-time Berbasis IoT Wibowo, Pristisal; Parlin Siagian; Abdul Razak
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.681

Abstract

Penelitian ini bertujuan untuk menganalisis performansi kabel N2XY pada sistem tiga fasa tegangan rendah dengan fokus utama pada pengaruh jatuh tegangan yang terjadi. Masalah jatuh tegangan dalam sistem distribusi listrik seringkali mengakibatkan turunnya kualitas pasokan daya, sehingga memerlukan analisis menyeluruh terhadap parameter sistem yang digunakan. Metode penelitian ini mencakup pengukuran langsung di lapangan, perhitungan manual menggunakan rumus dasar teknik listrik, serta simulasi dengan perangkat lunak ETAP 12.6.0 untuk memvalidasi hasil analisis. Hasil penelitian menunjukkan bahwa pada jarak 1,3 km dengan kabel N2XY berpenampang 4 x 70 mm² dan beban total sebesar 20,7 kW, diperoleh jatuh tegangan sebesar 33,3 V (8,31%) berdasarkan pengukuran, 33,89 V (8,47%) dari perhitungan, dan 25,8 V (6,5%) melalui simulasi ETAP. Disarankan untuk memperbesar penampang kabel guna meminimalisir jatuh tegangan dan menjaga kestabilan sistem distribusi daya listrik
Analysis of Power Quality in Technology Based Power Systems Tharo, Zuraidah; Wibowo, Pristisal; Syahputra, Mhd Rizki
Journal of Electrical Engineering Research Vol. 2 No. 1 (2026): Januari 2026
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/joeer.v2i1.23

Abstract

The rapid advancement of power system technologies has significantly transformed the way electrical power quality (PQ) is monitored, managed, and improved. The increasing penetration of non-linear loads, automation systems, and renewable energy sources has intensified power quality challenges, including harmonic distortion, voltage sags, voltage fluctuations, and transient disturbances. This study aims to analyze the impact of modern technological approaches on power quality enhancement in contemporary power systems. A descriptive-analytical research methodology was employed through a systematic review of recent scientific literature, international standards, and technical reports related to power quality management. The collected data were analyzed using qualitative content analysis and comparative evaluation to assess the effectiveness of automation, machine learning, Internet of Things (IoT)-based monitoring systems, and power electronic mitigation devices. The results indicate that integrated technological solutions significantly improve power quality performance compared to conventional approaches. Machine learning techniques, particularly Artificial Neural Networks, demonstrate high accuracy in disturbance classification and adaptive control, while IoT-based systems enable real-time monitoring and rapid response to power quality deviations. Furthermore, power electronic devices such as Active Power Filters, Static Var Compensators, and Dynamic Voltage Restorers effectively mitigate harmonics and stabilize voltage. However, challenges related to implementation cost, system complexity, cybersecurity, and regulatory inconsistency remain. The study concludes that an integrated, intelligent, and data-driven framework is essential for sustainable power quality management in modern power systems.