HEU Library Smart Attendance and Security Login System: A Descriptive Analytics Study of System-Generated Attendance Logs

Academic libraries are essential learning spaces in higher education, yet many Philippine universities continue to depend on paper-based attendance logbooks that compromise data accuracy, operational efficiency, and campus security [1], [8]. This paper presents a descriptive analytics study of student library attendance data generated by the HEU Library Attendance and Security Login System, a QR-based digital entry management platform deployed at a university in Negros Occidental, Philippines [2]. The study analyzed two system-exported CSV files covering seven operating days from April 6 to 16, 2026, encompassing 9,727 login events from 3,382 unique student patrons. No surveys, interviews, manual observations, or self-reported data were used [6]. Key findings indicate that Monday is the consistently highest-demand day, with April 6 alone accounting for 50.8% of all login events in the reporting period. The midday window from 12:00 to 13:59 constitutes the structural peak block, representing 27.1% of all daily logins. Login frequency analysis shows that 83.0% of patrons were infrequent visitors while a core group of 116 students (3.4%) generated high-frequency usage patterns that drive peak-hour congestion. These data-driven findings are translated into operational recommendations on staffing allocation, secondary kiosk deployment, security monitoring, and patron engagement campaigns, demonstrating the institutional value of automated attendance systems in academic library management [3], [9].