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Implementasi Metode K-Means Clustering Dalam Pengelompokan Penyebaran Covid-19 Di Surabaya

Author

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  • Asegaf, M Maulana
  • Arfianti, Unix Izyah
  • Hamdani, Andra Rikhza

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.

Suggested Citation

  • Asegaf, M Maulana & Arfianti, Unix Izyah & Hamdani, Andra Rikhza, 2022. "Implementasi Metode K-Means Clustering Dalam Pengelompokan Penyebaran Covid-19 Di Surabaya," OSF Preprints 2gwrb, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:2gwrb
    DOI: 10.31219/osf.io/2gwrb
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