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.
