Accident Detection and Driver Location System Motorcycles with IoT-Based Telegram

Muhammad Wildan Fauzi; Susilawati

doi:10.59934/jaiea.v5i1.1374

Authors

Muhammad Wildan Fauzi Universitas Singaperbangsa Karawang
Susilawati Universitas Singaperbangsa Karawang

DOI:

https://doi.org/10.59934/jaiea.v5i1.1374

Keywords:

GPS Neo-6M, Internet of Things (IoT), MPU6050, Motorcycle Accident Detection System, Telegram

Abstract

In Indonesia, motorcycles are one of the most widely used modes of transportation. Based on data from the Indonesian National Police Traffic Corps (Korlantas Polri), 103,607 traffic accidents occurred throughout 2023, with a total of 23,029 fatalities. This data indicates that vehicle accidents remain one of the leading causes of death in Indonesia. The purpose of this research is to design and build a system that can automatically detect motorcycle accidents using the MPU6050 sensor and the Neo-6M GPS module. This system is designed to send notifications in the form of real-time accident location information via the Telegram application to the closest family members. The research stages include literature review, needs analysis, system design, system testing, and conclusions. Testing was carried out in several scenarios to ensure that the designed accident detection system can function optimally according to its objectives. The results of the research and testing conducted indicate that the motorcycle accident detection system developed using the MPU6050 sensor, the Neo-6M GPS module, and the Telegram API successfully functioned according to its objectives. The system is able to detect accidents automatically through a combination of extreme tilt (with a roll value between -90° to 90°) and a tilt duration of at least 5 seconds.

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