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All Journal INTEGER: Journal of Information Technology SMARTICS Journal Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Uman Putra, Novian Patria
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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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 (2021): Mei
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.
Grasshopper Optimization Algorithm For Optimizing Microgrid Networks To Achieve Economic Dispatch Wahyu Setyo Pambudi; Uman Putra, Novian Patria; Primawan Rezky Pangayom; Ferdaus, Aji Akbar
SMARTICS Journal Vol 12 No 1 (2026): Journal SMARTICS (April 2026)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v12i1.13747

Abstract

In recent years, energy management has become an essential issue in the growing integration of microgrids, enabling more efficient and sustainable energy use. This research focuses on optimizing microgrid networks to achieve economic dispatch using the Grasshopper Optimization Algorithm (GOA). Economic dispatch aims to minimize total generation costs while meeting load demand. Traditional methods such as Particle Swarm Optimization (PSO), Priority List (Merit Order), and the Lagrange method have been widely used. Still, GOA offers superior performance potential in cost efficiency and computational effectiveness. This study compares the efficacy of PSO, GOA, Priority List, and the Lagrange method in optimizing microgrid operations through a series of simulations. Key performance metrics include total generation costs, convergence rates, and computation time. The results showed that GOA was superior to PSO and Priority List in reducing generation costs, with differences of $3.8 per hour of generation compared to PSO and $39.8 per hour of generation compared to Priority List. Additionally, GOA has a more adaptive convergence rate. However, the Lagrangian method does not apply to all objective functions, making it less effective for solving economic dispatch problems. In conclusion, GOA could significantly improve the economic efficiency of microgrid systems, contributing to more sustainable and cost-effective energy management. The combination of various optimization methods, such as GOA, PSO, and others, offers a more comprehensive approach to facing future energy management challenges.
Co-Authors Fahruzi, Akhmad Ferdaus, Aji Akbar Firdaus, Aji Akbar Haris Kurniawan, Haris Misbahul Munir Prasaja, Alim Primawan Rezky Pangayom Setiawati, Kadek Juni Wahyu Setyo Pambudi Winarno Winarno