Research Article

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

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Psych Educ Multidisc J, 2025, 37 (5), 458-465, doi: 10.70838/pemj.370505, ISSN 2822-4353

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.

Keywords: digital transformation, educational technology, Event Management System, Eventify, QR Code Attendance, Scrum, Technology Acceptance Model

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Bibliographic Information

Hazel Joyce Agpalo, Shaira Castro, Avegail Kimberlie Ciriaco, Almira Jane Coloma, Jonathan Galope, Vladimir Figueroa, (2025). Eventify: A Web-based Event Management and Attendance Monitoring System with Data Analytics, Psychology and Education: A Multidisciplinary Journal, 37(5): 458-465
Bibtex Citation
@article{hazel_joyce_agpalo2025pemj,
author = {Hazel Joyce Agpalo and Shaira Castro and Avegail Kimberlie Ciriaco and Almira Jane Coloma and Jonathan Galope and Vladimir Figueroa},
title = {Eventify: A Web-based Event Management and Attendance Monitoring System with Data Analytics},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2025},
volume = {37},
number = {5},
pages = {458-465},
doi = {10.70838/pemj.370505},
url = {https://scimatic.org/show_manuscript/5173}
}
APA Citation
Agpalo, H.J., Castro, S., Ciriaco, A.K., Coloma, A.J., Galope, J., Figueroa, V., (2025). Eventify: A Web-based Event Management and Attendance Monitoring System with Data Analytics. Psychology and Education: A Multidisciplinary Journal, 37(5), 458-465. https://doi.org/10.70838/pemj.370505

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