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

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{"abstract":"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.","abstract_source":"original","authors":["Hazel Joyce Agpalo","Shaira Castro","Avegail Kimberlie Ciriaco","Almira Jane Coloma","Jonathan Galope","Vladimir Figueroa"],"date":"2025-05-13","doi":"10.70838/pemj.370505","id":5173,"issue":5,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"4fc450ce0f428a7f6330b78095a23bb0d665487472de76dd1f68ee04d90909e1","schema":"scimatic-article/1","title":"Eventify: A Web-based Event Management and Attendance Monitoring System with Data Analytics","volume":37}

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