Hafizh Waliyuddin, . (2026) RANCANG BANGUN HELM PENDETEKSI KANTUK DAN ANTI-PENCURIAN PADA PENGENDARA SEPEDA MOTOR DENGAN GPS MODULE BERBASIS INTERNET OF THINGS. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Motorcycle traffic accidents remain a serious issue, primarily caused by decreased rider concentration due to drowsiness, as well as the low level of security of riding equipment such as helmets that are prone to theft. Therefore, this research presents the design and development of a drowsiness detection and anti-theft helmet system for motorcycle riders based on the Internet of Things (IoT) using an ESP32 microcontroller. The drowsiness detection system utilizes an MPU6050 sensor to detect head movements and a MAX30102 sensor to measure the rider’s heart rate, while the anti-theft system employs an MPU6050 sensor for helmet movement detection, a VL6180X sensor to detect head presence, RFID for user authentication, and a GPS module for helmet location tracking. The system outputs include a buzzer, a vibration motor, and real-time Telegram notifications to provide alerts and location information. Based on testing and data acquisition results, the drowsiness detection system achieved an overall accuracy of 96.67%, while the anti-theft system achieved an accuracy of 86.67%, indicating that the proposed system operates accurately, responsively, and reliably in enhancing riding safety and helmet security.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110314047] [Pembimbing 1 : Luh Krisnawati] [Penguji 1: Henry Binsar Hamonangan Sitorus] [Penguji 2: Ferdyanto] |
| Uncontrolled Keywords: | Drowsiness detection, ESP32, Helmet anti-theft, Internet of Things |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik > Program Studi Teknik Elektro (S1) |
| Depositing User: | HAFIZH WALIYUDDIN |
| Date Deposited: | 19 Feb 2026 01:18 |
| Last Modified: | 19 Feb 2026 01:18 |
| URI: | http://repository.upnvj.ac.id/id/eprint/49141 |
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