EARLY WARNING SYSTEM FOR PREDICTING STUDENT GRADUATION USING MACHINE LEARNING METHOD
Education is a key foundation in shaping the future of society. However, challenges such as high dropout rates require a proactive approach to improve the quality and continuity of learning. Early Warning System is one of the instruments that can answer this challenge. By using DRM method, this rese...
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Main Author: | R Pelima, Lidya |
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/79455 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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