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All Journal Jurnal Teknik Informatika (JUTIF) The Indonesian Journal of Computer Science
Ayu, Jenar Mahesa
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : The Indonesian Journal of Computer Science

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Perancangan Early Warning System Berbasis Data Warehouse untuk Pencegahan Mahasiswa Drop Out Syalevi, Rahmad; Purnama, Diki Gita; Ayu, Jenar Mahesa
The Indonesian Journal of Computer Science Vol. 15 No. 1 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i1.5075

Abstract

Higher education institutions require integrated, analytics-based data management to support strategic decision-making and student drop out prevention. This study aims to design a Data Warehouse (DW) model as the foundation for an Early Warning System (EWS) to detect student drop out risks at Universitas Paramadina. The DW is designed using the Kimball lifecycle approach with a star schema implementation, integrating data from multiple business processes such as academics, finance, and LMS activities. The EWS is developed using a supervised learning classification approach, utilizing Logistic Regression as the baseline model and proposing Random Forest for advanced modeling. The results demonstrate that an integrated DW effectively supports machine learning-based predictive analytics and serves as a strategic framework for proactive student drop out prevention.
Co-Authors Diki Gita Purnama, Diki Gita Muh. Darwis Muhammad Darwis Rabbani, Sarah Surya Syalevi, Rahmad