Brilliance: Research of Artificial Intelligence
Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026

Street Lighting Design with IoT-Based Energy Management in Cibuluh Village

Abadi, Sarosa Castrena (Unknown)
Saputro, Danu Jaya (Unknown)
Rizal, Muhammad Nursyam (Unknown)
Mulyadewi, Anggraeni (Unknown)
Mardoyo, Ega (Unknown)



Article Info

Publish Date
06 Feb 2026

Abstract

This study presented the design and implementation of an Internet of Things–based public street lighting system with energy management in Cibuluh Village, Tanjung Siang District, Subang Regency. The project aimed to improve lighting reliability in areas with limited grid access while reducing energy consumption and operational costs. The system employed solar panels as the primary energy source, battery storage, and light-emitting diode lamps equipped with smart dimming features. This approach enhances system autonomy, minimizes maintenance requirements, increases operational efficiency, ensures consistent illumination quality, and provides a scalable model suitable for broader rural infrastructure deployment nationwide. Energy management was achieved through the integration of light-dependent resistor and passive infrared sensors to adapt lamp brightness based on environmental light conditions and road activity. Electrical parameters, including voltage, current, and power, were monitored using a direct current power measurement module and transmitted via long-range wireless communication to a centralized database. Data visualization was provided through a real-time monitoring dashboard. The system was developed using the ADDIE research and development model and was implemented directly in the village environment. Evaluation results showed stable electrical performance, effective energy savings, reliable data transmission in hilly areas, and improved sustainability of street lighting operations. The proposed system demonstrated its suitability as an efficient and autonomous public lighting solution for rural areas.

Copyrights © 2026






Journal Info

Abbrev

brilliance

Publisher

Subject

Decision Sciences, Operations Research & Management Mathematics Other

Description

Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest ...