Septian Rico Hermawan
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Perancangan Lampu Pintar Otomatis menggunakan Sensor Passive Infrared (PIR) dan Light Dependent Resistor (LDR) dengan Konsep Internet of Things (IoT) Ahmad Islahul Arif; Nur Azmi Ainul Bashir; Septian Rico Hermawan; Joang Ipmawati
Jurnal Publikasi Teknik Informatika Vol. 5 No. 3 (2026): Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v5i3.7920

Abstract

Electrical energy waste remains a major challenge in household energy management, with human factors such as forgetting to turn off lights contributing significantly to unnecessary energy consumption. This study aimed to design and implement an Internet of Things (IoT)-based smart lighting system using Passive Infrared (PIR) and Light Dependent Resistor (LDR) sensors. The PIR sensor was utilized to detect human movement, while the LDR sensor was employed to measure ambient light intensity. An ESP32 microcontroller processed the sensor data and transmitted the information to the Blynk application for real-time monitoring and control. The research adopted a prototype development method consisting of problem identification, requirements analysis, system design, implementation, and evaluation using the Black Box Testing approach. The results demonstrated that the proposed system operated effectively with an overall success rate of 95.8%. Automatic lamp activation and PIR data transmission achieved 100% accuracy, LDR sensor readings reached 90%, and energy monitoring through the PZEM-004T module achieved 95% accuracy. The implementation of the proposed system improved energy efficiency through automated operation and real-time monitoring, providing a practical and reliable solution for smart home applications.