Perancangan Sistem Respon Akibat Kantuk Dan Kelelahan Berbasis IoT Dengan Menggunakan Alarm, Suara Audio, Dan Telegram Design of an IoT-Based Response System for Drowsiness and Fatigue Using Alarms, Audio, and Telegram

Geniero, Chivo Argama (2025) Perancangan Sistem Respon Akibat Kantuk Dan Kelelahan Berbasis IoT Dengan Menggunakan Alarm, Suara Audio, Dan Telegram Design of an IoT-Based Response System for Drowsiness and Fatigue Using Alarms, Audio, and Telegram. Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Official URL: https://repository.untag-sby.ac.id

Abstract

Fatigue and drowsiness are primary causes of accidents, particularly during activities requiring high levels of concentration, such as driving. To address this issue, this study explores the design of an early warning system capable of effectively detecting drowsiness and fatigue by leveraging Internet of Things (IoT) technology. The research employs a systems engineering approach, encompassing requirements identification, hardware and software design, implementation, and system testing and evaluation. The proposed solution is an IoT-based automated response system integrating a Raspberry Pi camera for drowsiness detection, a smartwatch to monitor fatigue via heart rate, and an ESP32 as the central controller. The system provides three response levels based on the user's condition: normal (Telegram notification); onset of drowsiness or fatigue (Telegram notification, two buzzer beeps, and a mild audio warning); and severe drowsiness or fatigue (Telegram notification, five buzzer beeps, and a primary audio warning). Implementation involves an MP3-TF-16P module, a passive speaker, and a Telegram bot for alert transmission. Test results demonstrate that the system can respond to the user's state in real-time and issue warnings effectively, thereby offering the potential to reduce the risk of accidents caused by fatigue and drowsiness.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: IoT, Drowsiness Detection, Fatigue Detection, ESP32, Telegram.
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Program Studi Teknik Informatika
Depositing User: 1462100142 Chivo Argama Geniero
Date Deposited: 23 Jun 2026 05:10
Last Modified: 23 Jun 2026 05:10
URI: http://repository.untag-sby.ac.id/id/eprint/42013

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