Raka Pratindy
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IoT-Based Real-Time Motorcycle Tracking and Security System Using RFID e-KTP Authentication and 4G LTE Cellular Connectivity Faiza Cahya Ramadhani; Raka Pratindy
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.593

Abstract

Purpose – This research addresses the rising problems of motorcycle theft and underage vehicle use by proposing an IoT-based security and tracking system with integrated access control and real-time monitoring capabilities. Methods – The study applied a Research and Development (R&D) methodology involving system design, hardware implementation, and performance evaluation. The prototype was developed using an ESP32-based Wemos D1 Mini 32, MFRC522 RFID module, RushFPV GNSS for positioning, and SIM7600 for 4G long-term evolution (LTE) communication. A self-hosted monitoring system was developed using PHP, MySQL, and Leaflet.js. The system was validated through multiple tests, including authentication accuracy, reading range, response time, GPS precision, and web functionality. Findings – The results show that the system achieved 100% authentication accuracy for registered e-KTP cards under the tested conditions, while rejecting the tested non-registered cards (e.g., SIM and ATM cards). Under the tested conditions, the effective RFID reading distance was limited to 0–2 cm. The system demonstrated a responsive performance with an average response time of 0.47 s. The GPS tracking results indicated low positional deviation based on the measurements. All the tested web-based monitoring features functioned as expected under the defined test scenarios. However, the evaluation was conducted at the prototype scale with limited testing scenarios. Research implications - Several limitations were identified, including the short RFID reading range, minor GPS inaccuracies, and dependence on a web-based interface. These factors may affect usability and limit the broader implementation in different environments. Originality – This study proposes an integrated system that combines 4G LTE connectivity, independent self-hosted monitoring, and RFID-based authentication using a government-issued e-KTP as a potential access control mechanism. The system demonstrates the feasibility of enhancing vehicle security and supporting controlled access, although further validation is required for real-world deployment.
Real-Time Intelligent IoT-Based Drum Brake Temperature Monitoring System Maulana Yusuf Alkahfi; Raka Pratindy; M. Iman Nur Hakim; Nanang Okta Widiandaru
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.601

Abstract

Purpose – This study addresses brake system failures in heavy vehicles caused by excessive thermal buildup in drum brakes. Existing monitoring systems rely on single-parameter sensing and lack early warning capabilities, thereby increasing the risk of brake fade and accidents. This study aims to develop a real-time monitoring system to improve safety. Methods: A Research and Development (R&D) approach was applied, including system design, implementation, and testing. The proposed system integrates a Raspberry Pi 4 Model B, Type K thermocouple, ESP32-C3 Super Mini, and GPS NEO-6M module. The data were transmitted via the Thingspeak IoT platform and displayed on a 7-inch TFT touchscreen. Experimental validation includes thermocouple calibration, GPS speed testing, and IoT latency measurement Findings – The thermocouple achieved a mean absolute error of 7.2°C and a percentage error of 3.4% (96.6% accuracy). The GPS speed measurement showed a 2.6% error (97.4% accuracy). IoT latency ranged from 1.2–2.0 s, with 100% data transmission success. The system reliably triggered alerts when the temperature exceeded 360°C, confirming effective real-time monitoring. Research implications: Limitations include dependence on Internet connectivity, environmental effects on sensors, and scalability challenges. Future work should focus on improving robustness and integrating predictive features. Originality – The developed system demonstrates reliable performance at the prototype level. However, the validation was conducted under controlled conditions using a single sensor and without vehicle load. Therefore, further validation under varying load conditions, road gradients, and multipoint brake measurements is required before practical large-scale deployment.