Mobile Application Development For Measurement Of Learning Outcomes Students Using The Decision Tree Algorithm

Abstract

During college, students tend to be confused in determining the Program Learning Outcome(PLO) they have completed. In this case, the SKLU application is an application that aims to determine the PLO graduation that has been taken by Android-based students. This application is used to help users as self-reflection or self-measurement so that they can be better in the future. With the C4.5 Method to form a Decision Tree and by determining the level of accuracy through the available datasets, it is concluded that the accuracy rate is approximately 96% in the SKLU application. The data collected is based on the value from FTI Untar directly, so that it gets definite data. The more data collected, the results produced by the application will be more accurate and better, the results produced by the application are still less accurate because of the small number of datasets collected.