Journal Press India®

Computology: Journal of Applied Computer Science and Intelligent Technologies
Vol 6 , Issue 1 , January - June 2026 | Pages: 52-72 | Research Paper

Design and Implementation of a Geolocation-based Student Attendance Management System

Author Details ( * ) denotes Corresponding author

1. * Michael F. Edafeajiroke, Assistant Lecturer, Computer Science Department, University of Port Harcourt, River State, Port Harcourt, Nigeria (edafemichaelfavour@gmail.com)
2. Amanda E. Ekata, Student, Computer Science Department, University of Port Harcourt, River State, Port Harcourt, Nigeria (amandaekata@gmail.com)
3. Promise Eyindah, Senior Lecturer, Computer Science Department, University of Port Harcourt, River State, Port Harcourt, Nigeria (promise.enyindah@uniport.edu.ng)

This study presents the design, implementation, and evaluation of a geolocation-based student attendance management system designed to overcome key limitations of existing methods, including proxy attendance, hardware dependency, and single-point validation. The system employs a dynamic geofencing mechanism in which a lecturer initiates a session and defines a virtual boundary. To be marked present, students must remain within this boundary for at least 80% of the class duration, a rule enforced through periodic location checks every 20 minutes. Developed with a Flutter frontend for cross-platform mobile access and a Node.js/PostgreSQL backend, the solution features role-specific dashboards for students, lecturers, and administrators, real-time notifications via Firebase Cloud Messaging, and automated report generation. Performance testing under simulated academic scenarios demonstrated high reliability, with 94.3% accuracy in classroom environments and excellent user satisfaction, yielding a System Usability Scale (SUS) score of 78.5. The dwell-time verification logic effectively ensures sustained physical presence, thereby promoting accountability and engagement. The study concludes that this software-only, intelligent system offers a significant advancement in attendance management, though future work should address scalability under extreme loads and inherent GPS technology limitations to achieve universal robustness

Keywords

Geolocation, attendance system; GPS tracking; Mobile application; Node.js; Flutter

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