Rancang Bangun Sistem Kontrol Lampu Sein dan Lampu Hazard Otomatis Sepeda Motor Menggunakan Sensor Gyroscope MPU6050 dan Sensor Proximity Induktif
Design and Development of an Automatic Turn Signal and Hazard Light Control System For Motorcycles Using The MPU6050 Gyroscope Sensor and Inductive Proximity Sensor
Abstract
Traffic accidents in Indonesia remained a serious problem, particularly those involving motorcycles as the primary mode of transportation. One of the main causes was riders’ negligence in properly using turn signals when changing lanes or making turns. On motorcycles, turn signals were generally deactivated manually by the rider, which often led to them being unintentionally left on. To address this problem, this study aimed to develop an automatic turn signal and hazard light system that operated based on vehicle tilt and wheel rotation speed. The system was designed using the MPU6050 gyroscope sensor to detect the tilt angle of the motorcycle and an inductive proximity sensor to measure wheel speed in RPM. An Arduino Nano microcontroller was employed as the control unit to process sensor data and manage the automatic activation of both turn signals and hazard lights. The system logic was designed so that the right or left turn signal activated when the wheel speed was below 300 RPM and the tilt angle exceeded 5 degrees. Meanwhile, the hazard lights were activated when the motorcycle operated at low speed without showing significant tilt <5 degrees. The experimental results showed that the system responded quickly and accurately to vehicle conditions and was able to clearly distinguish between turning and stopping situations. The system operated stably in detecting parameters and making automatic activation decisions, thereby reducing reliance on manual rider intervention. Therefore, the implementation of this system was expected to improve riding safety, reduce the risk of accidents caused by human error, and contribute to the development of sensor-based traffic safety technology.
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- Undergraduate Theses [1337]