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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Rizki Entis Sutisna
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Computer Science & IT

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PENERAPAN ALGORITMA K-MEANS CLUSTERING DALAM PROSES PENGELOMPOKAN KASUS MENINGGAL DUNIA COVID-19 DI INDONESIA Rizki Entis Sutisna
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i1.2420

Abstract

The country of Indonesia is still struggling with the Covid-19 outbreak to date, the same as other countries in the world. The number of Covid-19 cases in Indonesia every day continues to increase along with the recovery rate, but not a few also die. The Indonesian government provides socialization to the public to carry out physical distancing to break the chain of the spread of COVID-19 which is spreading in various parts of Indonesia. Therefore, there must be a lot of data collection, from that much data we can see patterns in determining the grouping of the spread of Covid-19 based on tests using the k-means clustering algorithm. The result of the research is to know the area that has the highest death rate. And making decisions for areas with a high death rate will be included in the red zone and action must be taken immediately.
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