<![CDATA[Motor vehicle theft remains a leading criminal offense in Indonesia, highlighting the high vulnerability of factory-standard security systems. This situation underscores the urgent need for more adaptive technological innovations to enhance security and enable real-time vehicle tracking. This research focuses on developing an Internet of Things (IoT)-based vehicle security system integrated with location tracking capabilities. The study addresses the lack of an optimal comparative analysis regarding the performance of commonly used microcontrollers specifically the Arduino Uno and ESP32 within the context of tracking systems. System performance is evaluated based on three key parameters: GPS tracking accuracy (timestamp), data transmission latency (response time), and microcontroller power consumption efficiency. The findings aim to identify the superior and more efficient microcontroller platform, serving as a crucial reference for developers and researchers creating reliable, fast, and energy-efficient IoT-based vehicle security systems. The results indicate that the ESP32 outperforms the Arduino Uno R3; although the ESP32 exhibits higher power consumption and slightly lower location accuracy than the Arduino Uno R3, it offers a significant advantage: the ability to manage the SIM7600 module's functions and transmit data to the Blynk dashboard online capabilities that the Arduino Uno R3 lacks.]]>
Copyrights © 2026
