A Token-based Attendance Management System: A Cheaper and Alternative Means to Managing Records of Lecture Attendance
DOI:
https://doi.org/10.56919/usci.1122.027Keywords:
Token based attendance information system, Lecture attendance system, Affordable automated attendanceAbstract
Keeping track of students’ lecture attendance is important as it provides the basis for enforcing the policy of having prerequisite minimum attendance to qualify for examinations. It is equally important to the parents/guardian of the students as they will be in the know of whether or not their wards have been attending lectures or not. However, taking accurate records of student attendance manually can be tedious. Similarly, deploying attendance machines can be costly. To this end, this paper proposes designing and implementing a token-based attendance management system as an affordable and alternative approach to managing students’ attendance. In the new system, a lecturer simply counts the number of students present in a lecture session and hands them tokens. The students use the tokens to mark their presence. The system was implemented using Hypertext Markup Language, Twitter Bootstrap, JavaScript, Hypertext Preprocessor, and MySQL. The system was deployed and put to use at Al-Qalam University Katsina. The implication of practice is that the software can be replicated, deployed and used in any academic institution.
References
Bhattacharya, S., Nainala, G. S., Das, P., & Routray, A. (2018). Smart attendance monitoring system (SAMS): A face recognition based attendance system for classroom environment. Proceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018, 358-360. [Crossref] https://doi.org/10.1109/ICALT.2018.00090
Dhanalakshmi, N., Kumar, S. G., & Sai, Y. P. (2017). Aadhaar based biometric attendance system using wireless fingerprint terminals. Proceedings - 7th IEEE International Advanced Computing Conference, IACC 2017, 651-655. [Crossref]
https://doi.org/10.1109/IACC.2017.0137
Harikrishnan, J., Sudarsan, A., Sadashiv, A., & Remya Ajai, A. S. (2019). Vision-Face Recognition Attendance Monitoring System for Surveillance using Deep Learning Technology and Computer Vision. Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019. [Crossref]
https://doi.org/10.1109/ViTECoN.2019.8899418
Koppikar, U., Hiremath, S., Shiralkar, A., Rajoor, A., & Baligar, V. P. (2019). IoT based Smart Attendance Monitoring Systems using RFID. 1st IEEE International Conference on Advances in Information Technology, ICAIT 2019 - Proceedings, 193-197. [Crossref] https://doi.org/10.1109/ICAIT47043.2019.8987263
Matilda, S., & Shahin, K. (2019). Student attendance monitoring system using image processing. 2019 IEEE International Conference on System, Computation, Automation and Networking, ICSCAN 2019. [Crossref]
https://doi.org/10.1109/ICSCAN.2019.8878806
Narayanan, A. S. (2012). QR Codes and Security Solutions. International Journal of Computer Science and Telecommunications, 3(7), 69-72. https://doi.org/10.1109/ICALT.2018.00090
https://doi.org/10.1109/ICALT.2018.00090
Noor, S. A. M., Zaini, N., Latip, M. F. A., & Hamzah, N. (2016). Android-based attendance management system. Proceedings - 2015 IEEE Conference on System, Process and Control, ICSPC 2015, 118-122. [Crossref] https://doi.org/10.1109/SPC.2015.7473570
Nuhi, A., Memeti, A., Imeri, F., & Cico, B. (2020). Smart Attendance System using QR Code. 2020 9th Mediterranean Conference on Embedded Computing, MECO 2020. [Crossref]
https://doi.org/10.1109/MECO49872.2020.9134225
Pani, P. K., & Kishore, P. (2016). Absenteeism and performance in a quantitative module A quantile regression analysis. Journal of Applied Research in Higher Education, 8(3), 376-389. [Crossref] https://doi.org/10.1108/JARHE-05-2014-0054
Patel, R., Patel, N., & Gajjar, M. (2012). Online Students ' Attendance Monitoring System in Classroom Using Radio Frequency Identification Technology : A Proposed System Framework. International Journal of Emerging Technology and Advanced Engineering, 2(2), 61-66.
Saheed, Y. K., Hambali, M. A., Adedeji, A. A., & Adeniji, I. A. (2016). Attendance Management System Using Barcode Identification on Students ' Identity Cards . The Pacific Journal of Science and Technology, 17(2), 224-230.
Schmulian, A., & Coetzee, S. (2012). Class absenteeism: Reasons for non-attendance and the effect on academic performance. Accounting Research Journal, 24(2), 178-194. [Crossref] https://doi.org/10.1108/10309611111163718
Tiwari, S. (2017). An Introduction to QR Code Technology. 39-44. [Crossref] https://doi.org/10.1109/ICIT.2016.021
Zdravkova, K. (2019). Privacy of Crowdsourcing Educational Platforms in the Light of New EU Regulations Authors. https://repository.ukim.mk/handle/20.500.12188/7776
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 UMYU Scientifica
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.