PREDICTION OF HAJJ PILGRIMS' HEALTH RISK USING K-NN, DECISION TREE, CROSS VALIDATION, AND SMOTE
The background of this study is predicting the health risk levels of hajj pilgrims, which is a significant challenge in improving healthcare services during the pilgrimage. This research contributes by systematically evaluating several machine learning techniques and applying SMOTE to balance the da...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Community Service Research Center (LPPM) STMIK Nusa Mandiri Jakarta
2025-03-01
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| Series: | Techno Nusa Mandiri: Journal of Computing and Information Technology |
| Subjects: | |
| Online Access: | https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/6367 |
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