Journal of Computer Science and Informatics Engineering
Vol 4 No 4 (2025): October

Motorcycle Security System Using Fingerprint Authentication Based on the Internet of Things (IoT)

Sutrisno, Sutrisno (Unknown)
Samsumar, Lalu Delsi (Unknown)
Efendi, Muhamad Masjun (Unknown)



Article Info

Publish Date
10 Oct 2025

Abstract

The increasing cases of motorcycle theft in Indonesia reveal the weaknesses of conventional security systems, such as mechanical locks that are easily compromised. This condition creates a scientific gap for developing security solutions based on biometric technology and the Internet of Things (IoT). This study proposes the design of a motorcycle security system with fingerprint authentication integrated with IoT. The research method used is prototyping, which includes requirement analysis, system design, prototype development, and testing. The system is built using an ESP32 as the main controller, an AS608 fingerprint sensor for user identification, a 2-channel relay for electrical control, a solenoid lock as the physical locking mechanism, and the Blynk application for remote control via the internet, which also serves as an alternative to the fingerprint sensor in case of errors or failures. The test results demonstrate that the system can accurately recognize registered fingerprints, activate the motorcycle’s electrical system, and automatically lock and unlock the solenoid with a fast response. The Blynk application functioned effectively as both a real-time control medium and an alternative control button when the fingerprint sensor experienced errors. These findings indicate that the proposed system can enhance motorcycle security compared to conventional methods while also providing ease of access for users. However, this research is still limited to the laboratory prototype stage and has not yet been directly implemented on motorcycles under real-world conditions.

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Journal Info

Abbrev

cosie

Publisher

Subject

Computer Science & IT

Description

Artificial Intelligence Machine Learning Natural Language Processing Computer Vision Text Speech Text Mining Data mining Cryptography Data visualization Expert System Deep Learning Fuzzy Logic IoT and smart environments Neural Networks Pattern Recognition Image Processing Optimization Digital Signal ...