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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Bibliographic Details
Main Author: R Pelima, Lidya
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/79455
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Institution: Institut Teknologi Bandung
Language: Indonesia