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All Journal International Journal of Artificial Intelligence Research
Muhammad Syahrani
STMIK SAMARINDA
Computer Science & IT Electrical & Electronics Engineering

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Implementation of Business Intelligence to Support Decision Making in Academic Information Systems Risna Risna; Muhammad Syahrani
International Journal of Artificial Intelligence Research Vol 10, No 1 (2026)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v10i1.1754

Abstract

The rapid advancement of digital transformation has encouragedhigher education institutions to optimize the utilization of academicdata as a strategic asset for evidence-based decision-making. AlthoughAcademic Information Systems (AIS) continuously generatesubstantial volumes of academic data, these data are predominantlyused to support operational activities rather than strategic analysis andinstitutional planning. This study aims to develop a BusinessIntelligence (BI) implementation model for Academic InformationSystems by integrating a data warehouse, Extract, Transform, andLoad (ETL) processes, and interactive analytical dashboards tofacilitate data-driven decision-making
Co-Authors Risna Risna