Implementation of Business Intelligence in Academic Management Systems to Improve the Quality of Health Study Programs

This study examines the implementation of Business Intelligence (BI) to support data-driven academic decision-making and strengthen internal quality assurance in higher education. The study adopted the Waterfall BI Lifecycle, which was implemented sequentially through decision-support needs analysis, identification of study program quality indicators, data integration, dashboard development, and system evaluation. The indicators examined included graduation rates, lecturer performance, learning outcomes, and accreditation. The findings indicate that BI implementation significantly improved academic management effectiveness. The developed dashboard enabled real-time monitoring of 12 key performance indicators, reduced report analysis time from 2–3 days to less than 2 hours (89% efficiency), increased grade reporting accuracy from 72% to 94%, improved overall data accuracy by 28%, and identified students at risk of dropping out with 86% predictive accuracy. These findings confirm that BI enhances academic quality and supports objective, accountable, and sustainable evidence-based decision-making for continuous quality improvement in higher education institutions.