Intelligent Bi-modal Timetable-aware Biometric Attendance System for Enhanced Classroom Attendance

dc.contributor.authorAbdullah I. M., Maliki, D., Abubakar, A., Jung, Y. A., Kim, K., & Aliyu, A
dc.date.accessioned2025-05-04T14:18:37Z
dc.date.issued2022-08-22
dc.descriptionThis paper presents the development of a centralized attendance management system aimed at addressing the limitations of traditional standalone systems commonly used in academic institutions. By integrating a timetable-based scheduling module and a robust API infrastructure deployed on a central server, the proposed system enables real-time communication and coordination among multiple attendance devices. This design not only aligns with the structured nature of academic schedules but also allows for better monitoring and data utilization. In addition to system implementation, the research analyzes the impact of various factors on students’ academic performance, revealing that attendance alone is not the primary determinant. Instead, extra educational support, participation in extracurricular activities, and family support play more significant roles in influencing academic outcomes.
dc.description.abstractAttendance management is integral to many organizations and academic institutions. The manner in which attendance is managed has evolved over the years encompassing various techniques and methodologies. Although significant improvements have been made, existing systems are mostly standalone systems without proper monitoring and control from a central point. This makes it difficult for several attendance devices to be linked by a common scheme like a timetable schedule. This is integral because the lives of students in every academic institution revolves around a schedule of events and classes. There is also a need to maximize the use of the data generated from attendance systems to make meaningful decisions and predictions about students’ academic activities. The research led to the implementation of several modules which includes the key timetable schedule module and an elaborate API structure deployed to a central server for a centralized communication network between attendance devices instead of standalone devices as traditional systems have employed. The research also investigates factors affecting the performance of students and which of these factors is the greater determinant. From the results and dataset investigated, it was found that attendance is in fact not the primary determinant of students’ academic performance. Extra educational support, extra-curricular activities and family support are the top ranked factors affecting academic performance in accordance with the results obtained from this work.
dc.identifier.citationAbdullah I. M., Maliki, D., Abubakar, A., Jung, Y. A., Kim, K., & Aliyu, A. (2022), Intelligent Bi-modal Timetable-aware Biometric Attendance System for Enhanced Classroom Attendance. Journal of Contents Computing. Vol. 4, No. 2, pp. 465-478, Dec. 2022. http://dx.doi.org/10.9728/jcc.2022.12.4.2.465
dc.identifier.urihttp://repository.futminna.edu.ng:4000/handle/123456789/1765
dc.language.isoen
dc.publisherJournal of Contents Computing
dc.subjectAttendance Management
dc.subjectAttendance System
dc.subjectBiometric Technology
dc.subjectPerformance Prediction
dc.subjectAutomated Attendance Management
dc.titleIntelligent Bi-modal Timetable-aware Biometric Attendance System for Enhanced Classroom Attendance
dc.typeArticle

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