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Pontoh, Abraham Lincoln
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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Pengembangan Sistem Penerangan Area Parkir Tenaga Surya dengan Monitoring Energi Menggunakan ESP32U Putra, Rezky Dwi; Pontoh, Abraham Lincoln; Warohmah, Ayu Mawadda
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14649

Abstract

Solar-powered parking area lighting was developed as a solution to improve energy efficiency and automated lighting management. The system is designed to control lamp operation based on ambient lighting conditions while providing local (on-site) energy monitoring information through a display. Based on the results of solar panel output testing, the energy source was shown to be capable of supplying sufficient power to support the lighting system operation. Furthermore, the light sensor test results indicate that the BH1750 sensor readings exhibit trends consistent with those of a lux meter, making it reliable for detecting bright and dark conditions. In addition, energy monitoring tests using the PZEM-017 sensor demonstrate that the system is able to consistently monitor changes in voltage, current, and power while the battery supplies the lamp load. These results confirm that the developed solar-powered parking area lighting system operates properly and meets the intended design objectives.
Implementasi Logika Fuzzy Mamdani pada Line Follower Robot dengan Fitur Obstacle Avoidance Pontoh, Abraham Lincoln; Firizki, Muh.; Rahman, Abdul
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15396

Abstract

This study presents the design and implementation of a Line Follower Robot equipped with an Obstacle Avoidance feature based on Mamdani Fuzzy Logic. The robot is designed to autonomously follow a predefined line while adapting its movement to avoid obstacles encountered along the path. Infrared sensors are used to detect the line position, while an ultrasonic sensor is utilized to measure the distance to obstacles. The decision-making process for controlling the direction and speed of the motors is handled using the Mamdani Fuzzy Logic method. System testing was conducted through experimental trials on various track conditions, including straight paths, turns, and branching tracks. Each condition was tested with 50 trials to evaluate system performance. The experimental results show that the robot achieved an average line-following success rate of 77%, with the highest performance on straight tracks and reduced performance on branching tracks due to increased track complexity. The obstacle avoidance system demonstrated effective detection and response with a reaction time of less than 1 second. These results indicate that the proposed system is capable of performing stable line-following and obstacle avoidance, and can serve as a basis for further development of autonomous mobile robots.
Co-Authors Abdul Rahman Firizki, Muh. Putra, Rezky Dwi Warohmah, Ayu Mawadda