Clusterization Of Productive Youth In Sirampog District Using The K-Means Method
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Abstrak
Adolescence is a transition from childhood to adulthood where maturity does not mean only physical maturity, but also psychological self-maturity, the age limit in question is that the body and soul are mature and can carry out marriage to realize the goals of marriage properly without ending in divorce. There are many clustering methods in data mining, one of which is the K-Means method which is included in the partition-based method, where this method divides data into a number of non-hierarchical groups (partitions) that try to partition data into clusters so that data that has the same characteristics will be included in the same cluster. Cluster evaluation in the form of a validity test of the Davies Bouldin Index (DBI) in clustering marriage readiness for adolescents of productive age in Sirampog District The method used in this study is the experimental method. The object of research in this study is productive adolescents (20-29 years) in Sirampog District. The research was conducted from June 17, 2024 – August 18, 2024 (two months) The results of the validity test resulted in 4 clusters with details of Cluster 1 (cluster_0) as many as 8 people, cluster 2 (cluster_1) as many as 16 people, cluster 3 (cluster_2) as many as 17 people, cluster 1 (cluster_0) as many as 8 people with a total sample of 50 people. The research conducted proves that the performance of the K-Means Clustering Algorithm can be used to cluster adolescents of productive age ready to get married
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