PENGELOMPOKAN EVALUASI AKADEMIK MAHASISWA JURUSAN ILMU KOMPUTER UNIVERSITAS RIAU MENGGUNAKAN METODE K-MEDOIDS CLUSTERING

Abstract

One of the successes of higher education is the success of students in pursuing their studies. The success of students can be seen from the achievement index they have achieved. The high average number of student achievement index has a big influence on the image and accreditation of universities. Therefore, a research was conducted on the grouping of the Academic Evaluation of Students of the Department of Computer Science, University of Riau using the K-Medoids Clustering Method. Clustering is the process of dividing data in a set into several groups whose data similarity in one group is greater than the similarity of the data with data in other groups. K-Medoids Clustering is one method of partitioning because it uses the most centralized objects in the cluster to be the center cluster of the average values of objects in a cluster. The stages in this research are processing data with K-Medoids Clustering, Evaluation Processing and analysis of results. From the research conducted, the results of the analysis of each cluster are obtained, the first cluster is normal students with a total of 40 students, the second cluster of problematic students with a total of 5 students. While the third cluster is a cluster of excellent students with a total of 68 students. From the research conducted, it was found that students dominated the entire cluster.