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All Journal Astonjadro Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Infotekmesin The Indonesian Journal of Computer Science Research Information Technology Education Journal SmartComp Journal of Vocational, Informatics and Computer Education Journal of Renewable Energy and Smart Device
Tsani, Mokhammad Rifqi
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Public Health

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Journal : Journal of Vocational, Informatics and Computer Education

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IoT-Based Dual-Sensor Vehicle Security System Using Piezoelectric and Glass-Break Detectors with GPS Tracking: Design and Performance Evaluation Rohdyawan, Zaidan Wafi; Hakim, M. Iman Nur; Pratindy, Raka; Tsani, Mokhammad Rifqi
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.421

Abstract

Purpose – This study aims to develop an IoT-based vehicle security system using a dual-sensor architecture that integrates piezoelectric and glass-break sensors, complemented by GPS tracking, to detect glass-break–based theft attempts rapidly, accurately, and in real time.Methods – A Research and Development (R&D) approach was employed at the functional prototype stage, involving hardware design, ESP32 programming, vibration response testing, glass-break tests on tempered and tinted glass, GPS accuracy assessment across three environmental conditions, and validation of IoT notification response time via Telegram.Findings - An IoT-based vehicle security system integrating piezoelectric and glass-break sensors demonstrated clear signal separation between normal conditions (ADC < 500) and glass-break events (ADC > 1000), with no overlapping distributions observed during testing. The system achieved real-time detection with an average IoT notification response time of approximately 1.14 seconds and showed near-zero false alarm occurrence under controlled experimental conditions.Research implications – Although the prototype exhibits high sensitivity and specificity in controlled environments, system performance remains influenced by IoT network quality and GPS signal degradation in enclosed spaces. Testing was limited to one vehicle model and two glass types; therefore, further research is required, including large-scale field validation, evaluation in dynamic environments, and the implementation of advanced IoT security protocols.Originality – The main contribution of this study lies in addressing the research gap between prior works that predominantly utilized single-sensor or limited sensor combinations without robust acoustic–mechanical differentiation. The applied integration of piezoelectric and glass-break sensors within an IoT-based architecture establishes a cross-verification mechanism that significantly reduces false alarm potential and enhances detection reliability compared to previous approaches.
Co-Authors Anjelina, Deby Triana Aryani, Benita Asmoro, Langgeng Fadhilah, Shanti Nur Frans Tohom Hakim, M. Iman Nur Helmi Wibowo, Helmi Humami, Faris Joko Siswanto Panggabeyan, Setyantoko Paradana, Barasie Perdana, Andhika Putra Pradana, Brasie Pratindy, Raka Rahmatullah, Ghani Ridho Rohdyawan, Zaidan Wafi Rupaka, Anggun Prima Gilang Siti Shofiah Syifa, Mohamad Zainus Widiandaru, Nanang Okta