Integrating QR Code-Based Approach to University e-Class System for Managing Student Attendance

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Abstract

Deloitte Insight defines that the Industrial Revolution 4.0 era mainly consists of four domains, namely big data analytics (BDA), artificial intelligence (AI), automation/robotics and the Internet of things (IoT). This research presents one application of IoT system toward automating students’ class attendance capturing, while embedding it with the university’s Total Campus Information System. In university class environment, capturing students’ attendance is one of the fundamental factors in assessing overall student performance. Currently, with new trend of the IoT and the Industrial Revolution 4.0 (IR4.0), the application of class attendance system, namely e-Class system, is used in ensuring that students attend classes consistently, as well as keeping track of student academic performance. This newly automated QR code-based system is eliminating the time wasted to find a student name, signing and mistakenly signaturing at a wrong name. The development of the system comprises the Student Management Academic Performance (SMAP) online platform, Total Campus Information System (TCIS) and QR code as the newly developed interface for student login into class attendance using the school intranet. The objective of this paper is to improve the processes of capturing students’ attendance in class, promote systematic and more organized attendance recording and enhance the requirement of attendance compliance of the university academic guideline in which requiring 80% attendance. One significant impact of this e-Class system, compliance to class attendance has been found to be positively significant, students becoming more alert on their attendances and rate of attendance has been pushed to high level of 96%. The university top management has decided that the system has to be implemented across all teaching faculties in two of its main campuses due to its seamless approach, relatively low cost and compatibility with the existing technology.

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Bakar, S. A., Salleh, S. N. M., Rasidi, A., Tasmin, R., Hamid, N. A. A., Nda, R. M., & Rusuli, M. S. C. (2021). Integrating QR Code-Based Approach to University e-Class System for Managing Student Attendance. In Advances in Intelligent Systems and Computing (Vol. 1158, pp. 379–387). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-4409-5_34

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