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All Journal Jurnal Teknik Mesin dan Pembelajaran
Akbar Sujiwa
UPN Veteran Jawa Timur
Education Engineering Other

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Desain dan Implementasi Sistem Deteksi Kecelakaan Berbasis Helm Menggunakan Sensor Gaya G Adiatma Maulana Wardhana; Akbar Sujiwa; Nenni Mona Aruan
Jurnal Teknik Mesin dan Pembelajaran Vol 9, No 1 (2026)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um054v9i1p165-172

Abstract

This study presents the design and development of a smart helmet system for detecting impact levels and monitoring accident locations in real time. The system utilizes an MPU6050 sensor to measure three-axis acceleration, which is processed using the Signal Vector Magnitude (SVM) method to determine G-Force values. Based on the calculated G-Force, impacts are classified into light, moderate, and severe categories. Experimental results show that the proposed system successfully classified impacts with average G-Force values of 1.08 g, 3.26 g, and 3.92 g for light, moderate, and severe impacts, respectively. Furthermore, GPS evaluation conducted at five outdoor locations produced an average positioning error of 2.31 m, demonstrating reliable real-time location tracking for accident monitoring applications. Keywords: Smart Helmet, Impact Detection, MPU6050, ESP32, G-Force, Signal Vector Magnitude (SVM), GPS Neo-6M, Real-Time Monitoring, Accident Detection
Co-Authors Adiatma Maulana Wardhana Nenni Mona Aruan