A Cost-Effective Smart Attendance Management Framework Using QR Code Staff IDs for Staff in Federal Polytechnic Wannune.

Staff attendance is important for accountability and quality assurance in tertiary institutions. Yet, some
institutions still rely on the manual approach to attendance records management which is prone to proxy
attendance, falsification, and poor record management. This study presents a cost-effective smart staff attendance
management system using QR code-enabled staff identity cards. The system automates staff identification,
attendance capture, academic contact-hour tracking, Quality Assurance (QA) classroom verification, analytics,
and reporting. It distinguishes between academic and non-academic staff and accommodates legitimate activities
such as rescheduled lectures, venue changes, makeup classes, and lecturer class swaps. A functional prototype is
being developed based on the identified requirements and tested for its core functions. The system is being
designed to use existing smartphones, computers, tablets, and webcams, reducing dependence on specialized
attendance hardware. The proposed system provides an integrated approach to staff attendance, academic
activity monitoring, and institutional quality assurance.

Ali, N. S., Alhilali, A. H., Rjeib, H. D., Alsharqi, H., & Al-Sadawi, B. (2022). Automated attendance management
systems: Systematic literature review. International Journal of Technology Enhanced Learning, 14(1),
37–65. https://doi.org/10.1504/IJTEL.2022.120559
Asogwa, D. C., Onyedinma, E. G., Asogwa, E. C., & Nkemdirim, E. U. (2025). Quick response (QR) code based
students’ attendance system in the university. International Journal of Research and Innovation in
Applied Science, 10(7), 1567–1572. https://doi.org/10.51584/IJRIAS.2025.100700142
Bhure, P. R., Raut, S. S., Bariye, P. B., Nandeshwar, A. G., & Adhikari, J. (2023). QR code based attendance
system. International Research Journal of Modernization in Engineering Technology and Science, 5(6).
Enikuomehin, A. O., & Dosumu, U. O. (2021). Geofencing based attendance monitoring system. The
International Journal of Engineering and Science, 11(1), 42–46.
Jamil, T. (2011). Automatic attendance recording system using mobile telephone. In 2011 19th
Telecommunications Forum, TELFOR 2011 - Proceedings of Papers (pp. 1297-1299). Article 6143790
(2011
19th
Telecommunications
Forum,
TELFOR 2011 - Proceedings of
Papers). https://doi.org/10.1109/TELFOR.2011.6143790
Liew, K. J., & Tan, T. H. (2021). QR code-based student attendance system. In Proceedings of the 2021 2nd Asia
Conference
on
Computers
and
Communications
(ACCC)
(pp.
10–14).
IEEE.
https://doi.org/10.1109/ACCC54619.2021.00009
Oyebola, B. O., Olabisi, K. O., & Adewale, O. S. (2018). Fingerprint for personal identification: A developed
system for students attendance information management. American Journal of Embedded Systems and
Applications, 6(1), 1–10. https://doi.org/10.11648/j.ajesa.20180601.11
Rahmawati, D., Putro, F. W., Wicaksono, A. Y., & Nurdin, A. (2019). Student attendance system using QR codes:
Case study Institut Teknologi Telkom Surabaya. In Proceedings of ISICT 2019.
Shinde, H., Shirke, S., Raul, G., & Sankhe, A. (2017). GPS based attendance management system with RFID
technology. International Journal of Engineering Research & Technology, 5(1), Special Issue ICIATE
2017. https://doi.org/10.17577/IJERTCONV5IS01026
Tan, T. H., Wong, S. F., Nagaratnam, S., Mohd Aris, M. N., & Yong, W. K. (2023/2024). From paper to pixels:
An investigation of the feasibility and acceptability of QR code attendance-taking in a higher education
setting. In Proceedings of the ACM International Conference on Education Technology and Computers
(ICETC 2023). https://doi.org/10.1145/3629296.3629331
Trabelsi, Z., & Shuaib, K. (2011). Implementation of an effective and secure biometrics-based student attendance
system.
International Journal of Computers and Applications, 33(2).
https://doi.org/10.2316/journal.202.2011.2.202-2928
Uddin, M. S., Allayear, S. M., Das, N. C., & Talukder, F. A. (2014). A location based time and attendance system.
International
Journal
of
Computer
https://doi.org/10.7763/IJCTE.2014.V6.832
Theory