The Implementation of Educational Data Mining (EDM) to Classify Determining Factors of Physics Learning Outcomes of Students in Online Learning in Palopo City

Abstract

The objective of this research was to apply data mining classification rules in the field of education to identify factors that determined the learning outcomes of Physics students during online learning in the Covid-19 pandemic. The data collection method involved distributing a questionnaire consisting of 21 data entries to be filled out by the students. Rapid Miner 10.2 software was used to analyze the questionnaire results. The classification method employed was Decision Tree C.4.5. The performance results of the algorithm showed an accuracy of 83.37%, falling into the category of good classification. According to the Decision Tree classification results table, the most determining factors or features for students' learning outcomes were the rankings, where students with higher rankings also achieved higher physics scores.