Enhancing Attendance Authenticity in Higher Education Using A QR Code and GPS-Based Smart Attendance System

Authors

Pavithran Kanapathy

Fakulti Teknologi Maklumat dan Komunikasi Universiti Teknikal Malaysia Melaka (UTeM) (Malaysia)

Nuridawati Mustafa

Fakulti Teknologi Maklumat dan Komunikasi Universiti Teknikal Malaysia Melaka (UTeM) (Malaysia)

Nuridawati Mustafa

Fakulti Teknologi Maklumat dan Komunikasi Universiti Teknikal Malaysia Melaka (UTeM) (Malaysia)

Noorrezam Yusop

Fakulti Teknologi Maklumat dan Komunikasi Universiti Teknikal Malaysia Melaka (UTeM) (Malaysia)

Yahya Ibrahim

Fakulti Teknologi Maklumat dan Komunikasi Universiti Teknikal Malaysia Melaka (UTeM) (Malaysia)

Nor Aiza Moketar

Fakulti Teknologi Maklumat dan Komunikasi Universiti Teknikal Malaysia Melaka (UTeM) (Malaysia)

Halimaton Hakimi

Universiti Teknologi PETRONAS (UTP) (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.10100611

Subject Category: Educational Technology

Volume/Issue: 10/1 | Page No: 7855-7867

Publication Timeline

Submitted: 2026-02-03

Accepted: 2026-02-09

Published: 2026-02-20

Abstract

Attendance monitoring is an essential component of academic management in higher education institutions; however, conventional methods such as manual sign-in sheets and biometric systems are often inefficient, error-prone, and susceptible to proxy attendance. This paper presents a Smart Attendance System that integrates QR code scanning with Global Positioning System (GPS) verification to ensure secure and accurate attendance recording. In the proposed system, lecturers generate dynamic QR codes for each class session, while students mark their attendance by scanning the code using a mobile application. Simultaneously, GPS data are captured to verify the student’s physical presence within a predefined classroom location. Attendance records are automatically stored in a centralized cloud-based database and can be accessed in real time through a web-based dashboard for monitoring and reporting purposes. Experimental evaluation demonstrates that the proposed system effectively reduces proxy attendance, improves data integrity, and minimizes administrative workload. The system offers a cost-effective, scalable, and user-friendly solution that supports smart campus initiatives and enhances attendance management in higher education environments.

Keywords

Smart attendance system, QR code, GPS verification

Downloads

References

1. Taju, S. W., Mamahit, Y. P., & Pongantung, J. A. (2024). Implementing QR code and geolocation technologies for the student attendance system. CogITo Smart Journal, 10(1), 221–232. https://doi.org/10.31154/cogito.v10i1.636.642-653 [Google Scholar] [Crossref]

2. Setiawan, A., & Agustin Rahayu, D. N. F. (2024). SISENSI: QR code-based academic attendance system. Urecol Journal. Part E: Engineering. https://doi.org/10.53017/uje.141 [Google Scholar] [Crossref]

3. Annurrahma, K. D., Suryawan, S. H., & Rahim, A. (2025). Design of a meeting attendance system based on dynamic QR code with Universally Unique Identifier (UUID v4). Jurnal Riset Informatika, 7(4), Article 416. https://doi.org/10.34288/jri.v7i4.416 [Google Scholar] [Crossref]

4. Jayusta, E., Marhalim, M., Immanullah, M., & Reswan, Y. (2025). Robustness analysis of QR-code based and geolocation based attendance system. Jurnal Media Infotama, 20(2), Article 6510. https://doi.org/10.37676/jmi.v20i2.6510 [Google Scholar] [Crossref]

5. Nurfansyah, L. O. M., & Utami, W. S. (2025). Development of a web-mobile based attendance information system for teachers and students using QR code integrated with geolocation. Jurnal Teknologi dan Open Source, 8(2), 973-983. https://doi.org/10.36378/jtos.v8i2.5145 [Google Scholar] [Crossref]

6. Hendrawan, J., Perwitasari, I. D., & Maulana, F. (2025). QR code-based attendance systems in education: A systematic literature review on data accuracy and sustainable school management. Proceedings of the International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies, 1, 80–87. https://doi.org/10.64803/cessmuds.v1.14 [Google Scholar] [Crossref]

7. Aguda, M. J. M. (2024). Campus Connect: An Android app for attendance monitoring with QR code, biometric, and facial recognition technologies with GPS tracking. AIDE Interdisciplinary Research Journal, 9(1), Article 127. https://doi.org/10.56648/aide-irj.v9i1.127 [Google Scholar] [Crossref]

8. Mukhtar, M. A. O., Sayed, M. H., Abdrahman, O. A. O., Idres, M. I. M., & Baballa, M. Y. H. (2024). A proposed mobile-based and secured attendance recording system using Quick Response codes. Journal of Applied Science, Technology and Computing, 1(2), 1–12. [Google Scholar] [Crossref]

9. https://publisher.uthm.edu.my/ojs/index.php/jastec/article/view/17443 [Google Scholar] [Crossref]

10. Kurnia, N., Hananto, A. L., Tukino, T., & Hilabi, S. S. (2025). Development of Geolocation-Based Employee Attendance Application on Android Mobile. J-INTECH, 13(01), 148–156. https://doi.org/10.32664/j-intech.v13i01.1890 [Google Scholar] [Crossref]

11. Atma, Y. A., Ganiyu, A. R. A., Arsyah, U. I., A’yunin, Q., Fryonanda, H., & Department of Information Technology, Politeknik Negeri Padang, Padang, Indonesia. (2024). UI/UX design of a QR code and Geolocation-Based attendance system using design thinking and prototyping methods. In Proceeding Applied Business and Engineering Conference (pp. 246–247) [Google Scholar] [Crossref]

12. Muslim, A. A. (2025). INTEGRATED EMPLOYEE ATTENDANCE SYSTEM USING FACE RECOGNITION, LIVENESS DETECTION, GPS, AND QR CODE. jurnal-jams.or.id. https://jurnal-jams.or.id/index.php/JAMS/article/view/80 [Google Scholar] [Crossref]

13. Bahtiar, H., Khan, K., & Hamad Bin Khalifa University (HBKU). (2025). CLASSQR: a SMART AND CONTACTLESS QR CODE ATTENDANCE SYSTEM [Journal-article]. International Journal of Data Science and IoT Management System, 4(2), 10–13. https://www.ijdim.com [Google Scholar] [Crossref]

14. Madhu, B. G., Harshitha, K. M., Mallika, G. U., Vaibhavi, B. Dandin, & Vibha, J. (2025). Mobile based GPS attendance system. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 13(11), 3024–3028. https://doi.org/10.22214/ijraset.2025.75753 [Google Scholar] [Crossref]

15. Mahtum, R., Fatah, Z., & Homaidi, A. (2025). Design of mobile and Web-Based geolocation attendance and payroll information System for teachers and Employees at Madrasah Aliyah As’adiyah Meneng Ketapang Banyuwangi. Jurnal Teknologi Terapan G-Tech, 9(3), 1306–1316. https://doi.org/10.70609/g-tech.v9i3.7332 [Google Scholar] [Crossref]

16. Mar’atuttahirah, Miftahulkhairah, & Alfito, R. B. (2024). Development of Student E-Attendance System using QR-Code and WhatsApp Gateway with The Iterative Model Based on Android. Jurnal Teknologi Elekterika, 21(2), 66–72. https://doi.org/10.31963/elekterika.v21i2.5026 [Google Scholar] [Crossref]

17. [Yanto, A. B. H., Fauzi, A., & Indriyani, N. (2022). Attendance mobile application with face recognition and detect location. JURNAL TEKNOLOGI DAN OPEN SOURCE, 5(1), 51–63. https://doi.org/10.36378/jtos.v5i1.2187 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles