Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
siti azhar
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PENGELOMPOKAN DATA VAKSIN MENGGUNAKAN METODE K-MEANS PADA KANTOR PEMERINTAH DESA BENDUNGAN siti azhar; Dodi Solihin; Tati Suprapti; Umi Hayati; Kaslani
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 13 No 2 (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i2.464

Abstract

Corona virus or Covid-19 is the name of the virus set by the World Health Organization (WHO) on March 9, 2020 where this corona virus was first discovered in Wuhan China on December 1, 2019. Corona viruses are a large family or viruses that attack animals and humans. When attacks humans, it will cause death. To minimize the number of cases that continue to increase, a recommendation for vaccination is set that aims to increase the immune system.From the data obtained, the authors are interested in further research on vaccine data. In order to group vaccine data, at this stage the cluster center is randomly selected from a set of population data. Next, K-Means tests each cluster in the data population and marks the cluster to one of the cluster centers that have been determined from the distance between the clusters and each cluster center.The result of testing the Clustering K-Means method on grouping vaccine data resulted in the grouping of data being divided into 2 clusters where cluster two (1) got the most data compared to cluster one (0). From the determination of the cluster is determined based on the parameter K 2.
Co-Authors Dodi Solihin Kaslani Tati Suprapti Umi Hayati