K-Means Cluster Analysis for Students Graduation
Sefty Wijayanti, Azahari Azahari, Reza Andrea · 2017
Grouping analysis (cluster analysis) is one of the multivariate data analyses which attracted many people and growing very rapidly. Grouping method that is being developed at this time is the fuzzy clustering analysis, which is capable of grouping by using a certain degree of membership. This study examines the comparative application of methods K -Means in a case study, namely graduate student grouping STMIK Widya Cipta Dharma based on the characteristics of the GPA, the Study period, Department of Study Programs and Predicate. Determination of the number of groups is done through a validity index. This study also will make K -Means with MATLAB software. The results showed the number of most Optimal Group is a total of 4 groups.