The IoT-Based E-Voting System Using Fingerprint Biometrics for School Elections

  • Wahyu Andre Wibowo University of Technology Yogyakarta, Indonesia
  • Erik Iman Heri Ujianto University of Technology Yogyakarta, Indonesia https://orcid.org/0000-0002-3089-5066
DOI: 10.63158/journalisi.v7i4.1328
Keywords: E-voting, Internet of Things, Fingerprint Authentication, R&D, ADDIE

Abstract

This study proposes an Internet of Things (IoT)-based e-voting system to address the limitations of traditional paper-based student council elections, which are prone to errors, inefficiency, and data manipulation. The system is developed using the ADDIE model for Research and Development (R&D), incorporating a Laravel-based administrative dashboard, a Flutter-based mobile voting interface, and a biometric authentication device built with an ESP32 microcontroller and JM-101B fingerprint sensor. Evaluation involved 20 participants who completed six functional test scenarios, achieving a 100% success rate across 120 instances. Usability testing revealed a notable comfort difference, with 30% comfort on mobile phones and 90% on tablets. Performance testing showed a fingerprint scan time of 669.6 ms and a vote submission latency of 437.1 ms, indicating good system responsiveness. The results suggest the system improves security, transparency, and efficiency in the election process. However, the study is limited by a small sample size and evaluation within a single institution. Future work could explore cloud integration, multi-school deployment, and additional authentication methods to enhance scalability and support broader adoption.

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Published
2025-12-10
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How to Cite
Wibowo, W., & Ujianto, E. I. (2025). The IoT-Based E-Voting System Using Fingerprint Biometrics for School Elections. Journal of Information Systems and Informatics, 7(4), 3645-3667. https://doi.org/10.63158/journalisi.v7i4.1328
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Vol 7 No 4 (2025): December
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