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Dodi Syaripudin

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Open access Jul 2026

Explainable Machine Learning Pipeline for Early Warning of Student Dropout in Graduate Programs Using SHAP and Gradient Boosting

Student attrition in graduate programs is costly for students and institutions alike, yet most predictive models deployed for early warning behave as black boxes that program managers cannot audit. This paper proposes an end-to-end explainable machine learning pipeline for the early detection of dropout risk in master’...

Dodi Syaripudin, Dede Hendrik, Andriyana Andriyana et al. · 0 citations
Open access Jul 2026

The Effect of AI-Based Learning on University Students’ Learning Motivation

Describing patterns in the influence of AI-based learning on the learning motivation of students enrolled in Computer Technology programs at universities in West Java, Indonesia indicated that AI-based learning supported motivation through efficiency, accessibility, and perceived competence, but unguided dependence cou...

Dodi Syaripudin · 0 citations

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