Eventify: A Web-based Event Management and Attendance Monitoring System with Data Analytics

This empirical study examines the implementation of Eventify, a web-based platform addressing chronic inefficiencies in rural Philippine secondary school event coordination through QR-enabled attendance tracking and dynamic scheduling algorithms. Confronting analog workflow fragmentation and digital adoption barriers, the research presents a framework integrating iterative Scrum development with academic temporal cycles and dual evaluation metrics: ISO 25010 technical standards and psychosocial adoption factors from Davis' Technology Acceptance Model (TAM).   Technical assessments by 20 IT specialists demonstrated exceptional system reliability (α=0.93) across critical operational parameters, including 98.4% uptime during peak concurrent access and perfect attendance record integrity across 2,143 transactions. Pedagogical evaluations with 30 stakeholders revealed significant alignment between perceived utility (M=4.65) and behavioral adoption intent (M=4.58), with path analysis identifying system responsiveness (β=0.79) rather than interface simplicity as the primary adoption driver.   The platform induced measurable behavioral shifts: 73% reduction in post-event administrative reconciliation time and 41% increase in student-initiated extracurricular activities through self-service modules. These emergent outcomes suggest the system's capacity to transcend operational objectives by fostering participatory governance in institutional planning processes.   This work contributes three substantive advancements: 1) A replicable model for educational technology integration in Global South institutions 2) Empirical validation of agility-bureaucracy compatibility through Scrum methodology adapted to academic calendars 3) Quantitative demonstration of technical robustness as a prerequisite for psychosocial adoption in resource-constrained environments. The findings challenge conventional edtech scalability paradigms while advancing SDG 4 and 9 through context-adaptive digital transformation. Future research directions include federated architecture development for inter-school event interoperability and machine learning-driven participation forecasting models.