An Implementation of K-Means Clustering on E-learning Data

Abstract

With the COVID-19 pandemic, requiring learning to be done online, the assessment of learning in online learning is certainly different from learning outcomes in class. This study aims to implement the clustering kmeans method on online learning assessment data in order to determine clusters on the learning outcomes data. This study uses the k-means method for the clustering process in order to get the results of classifying learning assessments in online learning activities. The results of this study indicate that in 5 clusters with the following details: in cluster 1 there are 113 students, in cluster 2 there are 11 students, in cluster 3 there are 4 students, in cluster 4 there are 12 students, and in cluster 5 there are 5 students.