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All Journal Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Journal of Vocational, Informatics and Computer Education
Rohdyawan, Zaidan Wafi
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Other

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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.
Design and Development of an IoT-Based Car Security System Integrating GPS, Piezoelectric Sensors, and Glass Break Sensors Rohdyawan, Zaidan Wafi; Hakim, M. Iman Nur
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.20073

Abstract

The increasing number of motor vehicles has been accompanied by a rise in vehicle-related crimes, highlighting the need for more advanced and adaptive security systems. Conventional vehicle security systems are limited by their inability to provide real-time monitoring and accurate intrusion detection. This study aims to develop and evaluate an Internet of Things (IoT)-based vehicle security system that integrates multiple sensors to improve detection accuracy and responsiveness. The research employs a Research and Development (R&D) Level 3 approach, involving system design, development, and performance testing. The proposed system utilizes a combination of piezoelectric sensors for vibration detection, glass break sensors for acoustic detection, and a GPS module for real-time tracking, all controlled by an ESP32 microcontroller and connected to a Telegram-based notification system. The results indicate that the multi-sensor integration enhances the system’s ability to detect various intrusion patterns more accurately while minimizing false alarms compared to single-sensor systems. Additionally, real-time notifications and location tracking improve user responsiveness to potential threats. In conclusion, the developed system provides a more effective, accurate, and adaptive vehicle security solution suitable for modern security challenges.
Co-Authors Hakim, M. Iman Nur Pratindy, Raka Tsani, Mokhammad Rifqi