Desain Sistem Iot Untuk Peralatan Deteksi Arcing Portabel Terintegrasi Power Quality Meter Pada Instalasi Tegangan Rendah AC Dan PV Farm

Labibi, Fathin Isnandaru (2026) Desain Sistem Iot Untuk Peralatan Deteksi Arcing Portabel Terintegrasi Power Quality Meter Pada Instalasi Tegangan Rendah AC Dan PV Farm. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Fenomena arcing pada instalasi tegangan rendah AC dan sistem photovoltaic (PV) dapat menyebabkan kerusakan peralatan listrik serta memicu kebakaran apabila tidak terdeteksi sejak awal. Pada penelitian ini dirancang sistem Internet of Things (IoT) untuk deteksi arcing portabel yang terintegrasi dengan Power Quality Meter. Sistem ini digunakan untuk membaca parameter kualitas daya AC dan DC, mengirimkan data ke Firebase, mengirim notifikasi dini arcing, serta menampilkan hasil pemantauan melalui aplikasi mobile. Proses pengolahan sinyal dilakukan menggunakan FFT untuk mendeteksi arcing seri pada sistem AC, sedangkan DWT digunakan untuk mendeteksi arcing paralel AC serta arcing seri dan paralel pada sistem DC. Hasil pengujian kualitas daya AC menunjukkan rata-rata error sebesar 0,56% untuk tegangan, 0,21% untuk arus, 0,68% untuk daya aktif, 0,75% untuk daya semu, 0,09% untuk frekuensi, 0,07% untuk faktor daya, -1,06% untuk daya reaktif, dan -1,79% untuk energi. Pada sistem DC, rata-rata error arus, tegangan, daya, dan energi masing-masing sebesar 0,11%, 0,06%, 0,16%, dan 3,35%. Hasil pengujian arcing menunjukkan bahwa kondisi normal dan kondisi gangguan dapat dibedakan melalui perubahan waveform, spektrum frekuensi, serta koefisien detail DWT. Pada pengujian performa IoT, keberhasilan penyimpanan data logger mencapai 85,69% pada instalasi AC dan 80% pada instalasi DC. Selain itu, alat yang berada pada titik gangguan mampu mencatat kejadian arcing dengan akurasi 100%. Berdasarkan hasil tersebut, sistem yang dirancang dapat digunakan sebagai perangkat monitoring kualitas daya AC dan DC serta deteksi dini arcing.
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Arcing phenomena in low-voltage AC installations and photovoltaic (PV) systems can cause damage to electrical equipment and may lead to fire hazards if not detected at an early stage. This research designs an Internet of Things (IoT) system for portable arcing detection integrated with a Power Quality Meter. The system is used to measure AC and DC power quality parameters, send data to Firebase, provide early arcing notifications, and display monitoring results through a mobile application. Signal processing is performed using FFT to detect series arcing in the AC system, while DWT is used to detect parallel arcing in the AC system as well as series and parallel arcing in the DC system. The AC power quality test results show average errors of 0.56% for voltage, 0.21% for current, 0.68% for active power, 0.75% for apparent power, 0.09% for frequency, 0.07% for power factor, -1.06% for reactive power, and -1.79% for energy. In the DC system, the average errors for current, voltage, power, and energy are 0.11%, 0.06%, 0.16%, and 3.35%, respectively. The arcing test results show that normal and fault conditions can be distinguished through waveform changes, frequency spectrum variations, and DWT detail coefficients. In the IoT performance test, the data logger storage success rate reached 85.69% in the AC installation and 80% in the DC installation. In addition, the device located at the fault point was able to record arcing events with 100% accuracy. Based on these results, the designed system can be used as a monitoring device for AC and DC power quality as well as an early arcing detection system.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Arcing, DWT, FFT, Firebase, IoT, kualitas daya, Photovoltaic, Power Quality Meter, Arcing, DWT, FFT, Firebase, IoT, power quality, Photovoltaic, Power Quality Meter.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3401 Insulation and insulating materials T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Fathin Isnandaru Labibi
Date Deposited:	24 Jul 2026 01:12
Last Modified:	24 Jul 2026 01:12
URI:	http://repository.its.ac.id/id/eprint/137097

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