Penerapan Metode KMeans dan Cobweb Terhadap Analisis Prestasi Akademik Mahasiswa yang Mengikuti Kegiatan Kemahasiswaan
Abstract: The growth of an
university can be seen with student’s academic records which can be used for
determining students’ quality. Besides student’s academic records, other
component that can be used to determine students’ quality is student’s
participation in non-academic activities which most of universities have to
develop their student’s softskill during their study period. Based on these
data provision, we can analyze how non-academic activities affect student’s
academic achievement. In this research, the data that used for analysis are
students’ academic data and students’ activities data from Maranatha Christian
University as case study. This analysis use one of data mining technique, which
is clustering . The clustering method that used for this research are Kmeans
andCobweb. Clustering method groups students and alumni that participate in
student activities or not by looking and the student’s and alumni’s faculty,
major, years of study, and if the student or alumni participate in student
activites, we can analyze it with how many activities that the student and
alumni had.
Penulis: Neil Casaandra
Sudharmono, Mewati Ayub
Kode Jurnal: jptinformatikadd150354
