Pengelompokan Nilai Akademik untuk Menentukan Kenaikan Kelas Menggunakan Algoritma K-Medoids

To find out the success rate of each student in mastering each activity that is followed, the school uses the student's academic value as its parameter. To facilitate the school curriculum in data collection on the success of each student based on academic achievement, through this thesis research the author would like to propose a method of k-medoids based on the achievement of student academic values. The student value data variables that will be used in this study are the average score of the report, the average extracurricular value, and the average aklak value or personality. Data was obtained from the administration of school grades at SMA Negeri 2 Siborong-borong, especially the grade 11 value data for even semester examinations. The clustering method used in writing this research is the K-medoids algorithm. The clustering results show that groups of student value data formed as many as 3 clusters and the results in cluster 1 as many as 18items, cluster 2 as many as 44 items and as many as 30 items .