Vehicle security is an important concern that requires practical and accessible monitoring solutions. Conventional vehicle security systems may have limitations in providing remote location information, making Internet of Things (IoT) technology a potential approach to improve vehicle tracking. This study aims to design and develop an IoT-based automatic vehicle security and tracking system using the ESP32 microcontroller and NEO-6M Global Positioning System (GPS) module. The research employed a Research and Development (R&D) approach consisting of literature study, system design, hardware and software implementation, system testing, and result analysis. The hardware integrates the ESP32 microcontroller with the NEO-6M GPS module through a UART serial interface, while Wi-Fi connectivity enables communication with the Telegram Bot API. The system was programmed using Arduino IDE to acquire GPS coordinates, process user commands, validate GPS status, and transmit vehicle location information through Telegram, including Google Maps links. Functional testing covered nine aspects: Wi-Fi connectivity, GPS initialization, GPS data acquisition, Telegram connection, command reception, GPS status validation, location transmission, message delivery, and user identification updates. Based on the results documented in the research report, all nine functional test items were recorded as passed according to their predefined test scenarios. These findings demonstrate that the developed prototype can integrate GPS positioning and Telegram-based communication for vehicle location monitoring. However, quantitative GPS accuracy, response time, power consumption, and long-term reliability were not measured in the reported tests. Further research is therefore needed to evaluate these performance parameters and improve the system's reliability under different environmental and network conditions.
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