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All Journal Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal Journal of Deep Learning, Computer Vision and Digital Image Processing Jurnal MediaTIK Journal of Computers, Informatics, and Vocational Education Journal of Emerging Research in Computer Science and Artificial Intelligence Journal of Education for Creativity and Innovation Journal of Educational Studies in Science, Technology, Engineering, Arts and Humanities
Haripuddin
Universitas Negeri Makassar
Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Design and Evaluation of an ESP32-Based Smart Helmet Locker Using Student Identity Card Authentication Muhammad Fathur Rachman; Haripuddin; Satria Gunawan Zain; Jumadi Mabe Parenreng; Sanatang
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 4 Issue 1 March 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v4i1.1522

Abstract

Purpose – To develop and evaluate an ESP32-based smart helmet locker using student identity card (KTM) authentication. Methods – Development followed the ADDIE model. The prototype integrated RFID authentication, a solenoid lock, Google Sheets logging, and Telegram notifications. Controlled tests addressed selected ISO/IEC 25010 quality characteristics, and 24 students completed a study-specific usability questionnaire. Findings – Functional and repeated-operation tests each achieved 100% success under the defined conditions. Mean card-detection, LCD-response, and Telegram-notification times were 1.85, 3.55, and 3.25 seconds. The questionnaire’s mean raw total was 45.00 out of 50; because negative items were not reverse-scored, this value is not a validated overall usability or feasibility score. Research implications – The prototype supports controlled locker access and monitoring in the tested scenarios. A single prototype, internet dependence, and limited user data constrain generalizability. Helmet-theft reduction, comprehensive security, and long-term field reliability were not established. Originality – The study integrates established authentication, control, logging, and notification technologies for a campus helmet-locker application.
Co-Authors A. Ria Mattanete Alimuddin Sa’ban Miru Andi Imran Imran Andi Tenriwulen Basdian Febry Maryani Yatu Firdaus Fitriani Haslinda Hasrul Hasrul Jumadi Mabe Parenreng Karmila Muhammad Fathur Rachman Muhammad Ilham Suherman Muliaty Yantahin Mustamin Ninik Rahayu Ashadi Nur Aisyah Mukhtar Ridwansyah Ridwansyah Riska, Muhammad Saharuna Sanatang Setialaksana, Wirawan - Sitti Faika Sulaiman, Dwi Rezky Anandari Yunus Tjandi Zulhajji