Students’ Attendance Management System with Data Analytics using Near-field Communication Technology

The checking of students’ attendance is a tiresome activity on the part of the faculty when done manually. To mitigate some challenges encountered in the current process, the proponent developed a web-based attendance management system with data analytics using near-field communication technology. This study specifically aims to evaluate the performance of both manual and developed systems regarding usability, reliability, and performance efficiency. This study used mixed methods of research, such as developmental and descriptive-evaluative. The Agile Method was utilized throughout the development process of the system. At the same time, the descriptive-evaluative was employed to ensure that the system being developed was evaluated as to its performance using the adapted survey questionnaire from ISO 25010 Software Quality and Product Model. The data were treated using statistical tools such as mean, standard deviation, ANOVA, and t-test to show specific findings and significant results. The study revealed a difference of 2.05 points in the overall mean of the two (2) attendance systems, and it shows that the majority of the respondents had seen the importance of the developed system. Further, the results also revealed a significant difference between the manual and the developed system, which indicates that the developed system is “so much useful,” “very reliable,” and “very efficient.”