Student Satisfaction Analysis of Public Health Study Program Universitas Muhammadiyah Kalimantan Timur Towards Online Learning Performance Using C4.5 Algorithm

Abstract

This study aims to analyze the level of student satisfaction with online learning performance in the Public Health Study Program Universitas Muhammadiyah Kalimantan Timur using the C4.5 Algorithm method. There are five aspects that are seen in assessing the level of satisfaction, namely tangible, reliability, assurance, responsiveness, and empathy. In the Public Health Study Program Universitas Muhammadiyah Kalimantan Timur, where the data source used used a questionnaire/questionnaire technique given to the 2019 and 2020 Public Health students, after doing the calculations, it was found that the aspects of assurance, responsiveness, reliability and tengibles had the highest gian which later became decision tree. In this study using rapidminer tools to create a decision tree. In this study, the accuracy of the use of the C4.5 algorithm is 100%.