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Abdi Juliantho, Dwana
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Journal : Journal of Information System and Education Development

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Komparasi Algoritma K-Means Dan K-Medoids Dalam Clustering Penyebaran Kasus Covid 19 olivia, Ladyka Febby; Abdi Juliantho, Dwana; Hendrik, Billy
Journal of Information System and Education Development Vol. 1 No. 2 (2023): Journal of Information System and Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

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Abstract

Covid 19 is a rapid spread virus that has a negative impact on the province of XYZ. With the Indonesian government policy, four zone policies such as the red, green, yellow, orange zone, which each zone has a different meaning. The algorithm used in this study is K-Means and K-Medoids. Algorithm-Means group data by dividing them into several clusters based on the same characteristics. Whereas the K-Medoids algorithm selects real objects to represent the cluster. In this study, the two algorithms were compared using one dataset. The comparison is done by looking at the value of Davies-Bouldin Index (DBI) on the rapidminer. The best result of K-Means DBI is 0.078 while K-Medoids gives a value of 0.250 which is divided into 2 clusters
Co-Authors Hendrik, Billy Olivia, Ladyka Febby