IMPLEMENTASI METODE K-MEANS CLUSTERING DALAM PENGELOMPOKAN PENYEBARAN COVID-19 DI SURABAYA

M Maulana Asegaf, Unix Izyah Arfianti and Andra Rikhza Hamdani

No 2gwrb, OSF Preprints from Center for Open Science

Abstract: COVID-19 is an infection or spread of the CORONA virus. The spread of the Corona Virus in Indonesia itself includes a fairly fast spread due to the way it is spread which is quite easy. The impact of the COVID-19 pandemic can still be felt today. The spread of COVID-19 that is evenly distributed in various provinces in Indonesia makes it difficult to handle and overcome it, therefore a grouping based on regions in Indonesia is needed. This grouping will produce a focal point for the spread of COVID-19 in various regions. This study uses the K-Means Clustering method to group data on the spread of COVID-19. This study tested the number of clusters using the Silhouette Index method to find out the optimal number of clusters of 2,3, 4, and 5 clusters. The results of the trial of the number of clusters in grouping the data on the spread of COVID-19 in each kelurahan in Surabaya using the K-Means Clustering method resulted in a good structure in the 3, 4, and 5 cluster trials, while the 2 cluster trial resulted in a strong structure with Silhouette. The index is 0.8021.

Date: 2022-02-12
New Economics Papers: this item is included in nep-ore and nep-sea
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:2gwrb

DOI: 10.31219/osf.io/2gwrb

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