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Fuzzy Steering Control For Wall-Following Behavior Of A Mobile Robot In Webots Simulation Saputro, Danu Jaya; Aisyah, Siti
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

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Abstract

Navigation logic plays a crucial role in enabling mobile robots to move autonomously and safely within structured environments. This study presents the development and simulation of a wall-following mobile robot designed to navigate along predefined boundaries while avoiding frontal obstacles. The simulation is implemented in the Webots environment, where the robot employs infrared proximity sensors integrated with a fuzzy logic–based control algorithm. Crisp distance measurements obtained from sensors PS5, PS6, and PS7 are fuzzified into linguistic variables, namely Near, Medium, and Far. Based on the defined input and output membership functions, the fuzzy controller determines appropriate steering actions, including strong turning and forward motion. The proposed approach evaluates the relationship between proximity sensor thresholds and the resulting steering velocity control, demonstrating the effectiveness of fuzzy inference in regulating wall-following behavior.
Street Lighting Design with IoT-Based Energy Management in Cibuluh Village Abadi, Sarosa Castrena; Saputro, Danu Jaya; Rizal, Muhammad Nursyam; Mulyadewi, Anggraeni; Mardoyo, Ega
Brilliance: Research of Artificial Intelligence Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i1.7853

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.