Name: Muhammad Naufal Aryaguna
Student ID: 40040620650013
Thesis Title: Design and Development of Early Drowsiness Detection Using MAX30102 Sensor in Electric Vehicles
Defense Date: July 24, 2024
On July 24, 2024, Muhammad Naufal Aryaguna, a student of the Industrial Electrical Engineering program, successfully conducted his thesis defense as part of the requirements to complete his studies. In his presentation, Naufal shared the results of his research, titled “Design and Development of Early Drowsiness Detection Using MAX30102 Sensor in Electric Vehicles.”
The aim of this research is to develop an early detection system for drowsiness specifically for use in electric vehicles, using the MAX30102 sensor. The device is designed to monitor the driver’s physical condition, particularly drowsiness levels, by measuring heart rate and oxygen saturation. This detection system is expected to help prevent accidents caused by driver fatigue while driving.
The thesis defense was attended by examiners and advisors who provided various feedback and constructive criticism on Naufal’s work. Through this defense, it is hoped that Naufal’s research findings can make a meaningful contribution to road safety, particularly for electric vehicles, and inspire further technological advancements in sensor-based innovations.
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