DATA ANALYTICS-BASED STUDENT VIOLATION PREVENTION: DEVELOPMENT OF AN OFFICE OF THE PREFECT OF DISCIPLINE INFORMATION SYSTEM

This study aimed to evaluate and enhance the operations of the Office of the Prefect of Discipline in a Benedictine Higher Educational Institution by developing a centralized web-based system called the Office of the Prefect of Discipline Information and Operations Management System (OPDIOMS). The study addressed several key questions: features needed for efficient data handling; monitoring of students' violations; a referral system; the application of data analytics in operations; and conformity to ISO 25010 standards. The primary beneficiaries are those managing student disciplinary records, including the prefect, assistant prefects, class advisers, guidance counselors, and the dean of student affairs. The study employed a descriptive-developmental research approach and created a user-friendly web application with intuitive navigation, input forms, and feedback mechanisms. The researchers built a web-based program that is easy to use and has reporting, data management, and forecasting capabilities to help monitor, predict, and prevent student violations. It used a MySQL database for fast data storage and retrieval. For successful implementation and user management, the study recommends identifying user requirements, defining functionalities, providing comprehensive training, and planning deployment meticulously. Lastly, the evaluation using ISO 25010 software quality standards yielded strong findings: functionality had a weighted mean of 3.6, performance efficiency 4.253, and security 4.97, indicating strong user acceptance and system reliability. Future recommendations include mobile and notification features, system improvements, institutional implementation of the system throughout the university, full user training and orientation, and improved prescriptive analytics to enhance data analysis.