Efficient attendance management is crucial in educational institutions to ensure student participation and compliance with policies. Traditional methods, such as physical registers and manual inputs, are often inefficient, inaccurate, and susceptible to manipulation, limiting their effectiveness. Modern technologies provide innovative solutions to address these challenges. This study aimed to design and implement a web-based attendance management system using geofencing technology to enhance the accuracy, security, and efficiency of attendance tracking at Babcock University. A mixed-methods approach was employed. Qualitative data were gathered through interviews with students and lecturers to identify flaws in the current system. A literature review informed the system’s design, with an emphasis on geofencing technologies. The system was developed using Python for backend logic and JavaScript for the frontend. It supports iOS and Android devices, offering functionalities such as secure user authentication, geofence creation for lecture halls, and automated attendance monitoring. The system effectively addressed the shortcomings of traditional methods by providing accurate and automated attendance tracking, minimizing errors, and ensuring compliance with university policies. Lecturers and students found the system intuitive, efficient, and reliable for managing class attendance. The geofencing-based attendance management system offers a scalable and user-friendly solution for modernizing attendance tracking in educational institutions. Its integration of geolocation and automation improves operational efficiency, data reliability, and policy adherence, serving as a model for similar systems in other educational contexts.
Eweoya et al. (Sun,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: