Machine Learning Technique Analysis and Applications for Predicting Student Performance
Evaristus Didik Madyatmadja1, Albert Jonathan Susanto2

1Dr. Evaristus Didik Madyatmadja*, Associate Professor, Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta.
2Albert Jonathan Susanto, Research Assistant, Information Systems Department, School of Information Systems, Bina Nusantara University.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2133-2136 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9678109119/2019©BEIESP | DOI: 10.35940/ijeat.A9678.109119
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Abstract: Machine Learning is an emerging research field concerned with developing methods to answer uncommon problems. There are many problems that can be answered with Machine Learning method, one of them is on educational scope. Many Educators right now cannot identify whether a certain student is on the brink of failing or not. As a result, many college students failed because the educators cannot help them. In this paper, we present our user-friendly decision support tool made from Machine Learning algorithm and to answer the problem we focus, which is to prevent college student from failing by providing educational agents necessary information and predictions. Our objective is to know which machine learning algorithm that can be used to predict the student’s performance and to create a decision support tool that can be used by educational agents so that educational agents can prevent student from failing the course.
Keywords: Classifier, Dataset, Data Training, Model