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All Journal Brilliance: Research of Artificial Intelligence
Geraldine, Jihan
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Decision Sciences, Operations Research & Management Mathematics Other

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Smart Light Electricity Automation and Monitoring System Based on the Internet of Things (IOT) on Campus Environment Prototype Geraldine, Jihan; Ramiati, Ramiati; Dewi, Ratna
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5082

Abstract

Efficient management of electrical energy is very important in the campus environment to support energy savings. This research aims to design and implement an Internet of Things (IoT)-based Smart Light system that automates light control and monitors electricity consumption in real-time. The system uses an ESP32 microcontroller integrated with PIR sensor and LDR sensor modules for automatic control, as well as ACS712 current and ZMPT101B voltage sensors to monitor electrical power. The collected data is processed in the microcontroller to calculate the electric power and cost, then displayed through a PHP and MySQL-based web dashboard that can be accessed in real-time. Tests were conducted on the campus prototype, showing an average error of 2.78% for current and 0.086% for voltage on indoor devices, and 2.86% for current and 0.343% for voltage on outdoor devices. The system is proven to be able to control lights automatically based on user presence and lighting conditions. Test results show that the system provides accurate monitoring of electricity consumption while improving operational efficiency. For example, the indoor device has higher accuracy in monitoring consumption data than the outdoor device, even though both devices show optimal performance. This system is expected to support electrical energy savings, improve energy use efficiency, and become an innovative solution in IoT-based energy management on campus.
Smart Light Electricity Automation and Monitoring System Based on the Internet of Things (IOT) on Campus Environment Prototype Geraldine, Jihan; Ramiati, Ramiati; Dewi, Ratna
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5082

Abstract

Efficient management of electrical energy is very important in the campus environment to support energy savings. This research aims to design and implement an Internet of Things (IoT)-based Smart Light system that automates light control and monitors electricity consumption in real-time. The system uses an ESP32 microcontroller integrated with PIR sensor and LDR sensor modules for automatic control, as well as ACS712 current and ZMPT101B voltage sensors to monitor electrical power. The collected data is processed in the microcontroller to calculate the electric power and cost, then displayed through a PHP and MySQL-based web dashboard that can be accessed in real-time. Tests were conducted on the campus prototype, showing an average error of 2.78% for current and 0.086% for voltage on indoor devices, and 2.86% for current and 0.343% for voltage on outdoor devices. The system is proven to be able to control lights automatically based on user presence and lighting conditions. Test results show that the system provides accurate monitoring of electricity consumption while improving operational efficiency. For example, the indoor device has higher accuracy in monitoring consumption data than the outdoor device, even though both devices show optimal performance. This system is expected to support electrical energy savings, improve energy use efficiency, and become an innovative solution in IoT-based energy management on campus.
Co-Authors Ramiati Ramiati Ratna Dewi