Uman Putra, Novian Patria
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The Home Security Monitoring System with Passive Infrared Receiver, Temperature Sensor and Flame Detector Based on Android System Uman Putra, Novian Patria; Firdaus, Aji Akbar; Winarno, Winarno; Prasaja, Alim; Setiawati, Kadek Juni
INTEGER: Journal of Information Technology Vol 6, No 1: Mei 2021
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2021.v6i1.1836

Abstract

A home state monitoring is important for homeowners. Because in Indonesia, theft and fire are common occurrences. This is caused by the negligence of homeowners. Therefore, home security monitoring systems are made to minimize theft and house fires. In this study, home security monitoring systems were made using human motion detection sensors or PIR (Passive Infrared Receiver) sensors, temperature sensors, flame detectors, buzzers, and pumps. The PIR sensor is used to detect thieves so buzzer can sound. The Temperature sensor and flame detector are used to detect fires then the pump will extinguish the fire. The system is then integrated with android HP devices, so homeowners can monitor the home wherever and whenever. From the test results, PIR sensor can detect human movement with a distance of 3.4 meters and the angle is 90o. The Temperature sensors and flame detectors detect temperatures and hotspots with a maximum distance of 25 cm, respectively
Optimalisasi MPPT Photovoltaic Seri-Paralel dengan Kondisi Berbayang Pambudi, Wahyu Setyo; Kurniawan, Haris; Uman Putra, Novian Patria; Munir, Misbahul; Fahruzi, Akhmad
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7552

Abstract

Renewable energy sources are becoming increasingly essential to meet global energy demands, given the depletion of fossil fuel reserves. Solar energy, mainly through photovoltaic (PV) technology, provides a viable solution by converting solar radiation into electricity. Photovoltaic systems, composed of multiple panels connected in series and parallel, depend on factors such as radiation intensity and temperature. Maximum Power Point Tracking (MPPT) commonly can optimize power output, but conventional methods often struggle in partial shading conditions, leading to local peak trapping. This research combined Particle Swarm Optimization (PSO) with MPPT to address this issue. In experiment 1, the solar panel output power graph reached a peak of 862.7 watts but exhibited instability. In contrast, the boost converter output power graph, optimized using the MPPT-PSO algorithm, achieved a maximum power of 736.5 watts with a more stable power fluctuation pattern.