Design and Development of an IoT-Based Car Security System Integrating GPS, Piezoelectric Sensors, and Glass Break Sensors
DOI:
https://doi.org/10.33394/j-ps.v14i2.20073Keywords:
Internet of things, Vehicle security system, Piezoelectric sensor, Glass break sensor, GPS tracking, Real-time notificationAbstract
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.
References
Azzam, M. A., Znaidi, W., & Ahmed, M. (2023). IoT-based vehicle security and tracking system using cloud computing. Future Generation Computer Systems, 141, 460–471. https://doi.org/10.1016/j.future.2022.12.015
Badan Pusat Statistik. (2024). Kasus pencurian kendaraan bermotor di Indonesia. https://www.bps.go.id
Bansal, G., Kumar, N., & Kaur, S. (2021). IoT-based smart vehicle monitoring system for security and tracking applications. Wireless Personal Communications, 118, 2323–2343. https://doi.org/10.1007/s11277-021-08188-0
Dhar, S., & Bose, I. (2021). Securing smart vehicles with IoT technologies. Information Systems Frontiers, 23, 1351–1368. https://doi.org/10.1007/s10796-020-10076-3
Fatoni, M., & Adiananda. (2021). Rancang bangun prototipe pengaman kendaraan berbasis GPS komunikasi pesan Telegram dan Thingspeak. Electron: Jurnal Ilmiah Teknik Elektro, 2(2), 1–12. https://doi.org/10.33019/electron.v2i2.1
Firdaus, F., & Ismail, I. (2020). Komparasi akurasi global positioning system (GPS) receiver U-blox Neo-6M dan U-blox Neo-M8N pada navigasi quadcopter. Elektron: Jurnal Ilmiah, 12(1), 12–15. https://doi.org/10.30630/eji.12.1.137
Gupta, B., Quamara, M., & Agrawal, D. P. (2022). IoT-based smart vehicle monitoring and theft detection system. IEEE Internet of Things Journal, 9(15), 13472–13483. https://doi.org/10.1109/JIOT.2022.3145564
Hassan, W., Mahmood, A., & Khan, M. (2022). Smart vehicle security system using IoT and GPS tracking. IEEE Access, 10, 56780–56791. https://doi.org/10.1109/ACCESS.2022.3178950
Haykin, S. (2009). Communication systems (5th ed.). Wiley.
Li, S., Xu, L. D., & Zhao, S. (2021). The Internet of Things: A survey. Information Systems Frontiers, 23, 243–259. https://doi.org/10.1007/s10796-020-10076-3
Liu, J., Hei, C., Luo, M., Yang, D., Sun, C., & Feng, A. (2022). A study on impact force detection method based on piezoelectric sensing. Sensors, 22(14). https://doi.org/10.3390/s22145167
Mach, V., Mizera, A., Stoklasek, P., Karhankova, M., Adamek, M., & Bednarik, M. (2024). Development of a contact glass-break detector for the highest security level. Sensors, 24(1), 97. https://doi.org/10.3390/s24010097
Manurung, S., Parlina, I., Anggraini, F., Hartama, D., & Jalaluddin, J. (2021). Penggunaan sistem Arduino menggunakan RFID untuk keamanan kendaraan bermotor. Jurnal Penelitian Inovatif, 1(2), 139–148. https://doi.org/10.54082/jupin.17
Marhoon, H. M., Alanssari, A. I., & Basil, N. (2023). Design and implementation of an intelligent safety and security system for vehicles based on GSM communication and IoT network for real-time tracking. Journal of Robotics and Control, 4(5), 708–718. https://doi.org/10.18196/jrc.v4i5.19652
Nandy, T., Noor, R. M., Kolandaisamy, R., Idris, M. Y. I., & Bhattacharyya, S. (2024). A review of security attacks and intrusion detection in the vehicular networks. Journal of King Saud University - Computer and Information Sciences, 36(2), 101945. https://doi.org/10.1016/j.jksuci.2024.101945
Rahman, A., Hassanain, E., & Zainal, A. (2023). Real-time vehicle tracking system using IoT and cloud platforms. Sensors, 23(8), 3865. https://doi.org/10.3390/s23083865
Sambani, E., & Seta, I. (2021). Rancang bangun sistem keamanan kendaraan dengan pelacakan GPS berbasis IoT dan Android. Prosiding Seminar Nasional CORISINDO, 1(1), 76–90.
Sharma, A., Gupta, S., & Singh, R. (2022). Intelligent vehicle theft detection and tracking system using IoT. Journal of King Saud University – Computer and Information Sciences, 34(9), 7012–7023. https://doi.org/10.1016/j.jksuci.2021.02.012
Singh, D., Tripathi, G., & Jara, A. J. (2021). A survey of Internet-of-Things: Future vision, architecture, challenges and services. IEEE Access, 9, 63464–63483. https://doi.org/10.1109/ACCESS.2021.3076968
Susanti, R. (2022). Implementasi sensor getar dan PIR untuk alat pengaman mobil berbasis Internet of Things. Elektron: Jurnal Ilmiah, 13(2), 68–73. https://doi.org/10.30630/eji.13.2.235
Tian, D., Li, J., & Lei, J. (2025). Multi-sensor information fusion in Internet of Vehicles based on deep learning: A review. Neurocomputing, 614, 128886. https://doi.org/10.1016/j.neucom.2024.128886
Velasquez-Jimenez, L., Marrujo-Ingunza, C., Rubiños-Jimenez, S., Grados-Gamarra, J., & Grados-Espinoza, H. (2025). IoT-based vehicle security system: Real-time monitoring and event logging. IJSSE, 15(5), 987–996. https://doi.org/10.18280/ijsse.150512
Zahra, A. S., & Nuriana, Z. I. (2021). Telegram sebagai media kegiatan belajar mengajar masa pandemi Covid-19 di IAIN Tulungagung. Jurnal KOULUTUS, 4(2), 182–193.
Zhang, Y., Chen, X., Li, J., & Wong, K. (2022). IoT-enabled smart vehicle monitoring system for intelligent transportation. Sensors, 22(18), 6894. https://doi.org/10.3390/s22186894
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