Authors:

Putu Mas Anggita Putra, I Gusti Agung Gede Arya Kadyanan

Abstract:

“The COVID-19 virus or also known as SARS-Cov-2 is an infectious disease caused by the Coronavirus which attacks the human respiratory system. The COVID-19 case has affected all provinces in Indonesia, including Bali. There is a total of 7481 cases in Bali and this is due to the lack of understanding of the community towards the COVID-19 prone areas in Bali. Therefore, it is necessary to group the areas prone to COVID-19 in Bali. One of the clustering algorithms is K-Means, this algorithm uses several groups for the placement of some data with a partition system. The grouping will be carried out using data from the Bali COVID-19 Task Force website on September 18, 2020, using RapidMiner application. The results obtained divided Bali into 3 clusters with Denpasar as the center of the highest spread of COVID-19 in Bali as the red zone, then Badung, Buleleng, Bangli, Gianyar, and Karangasem in the yellow zone, and other districts in the green zone.”

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PDF:

https://jurnal.harianregional.com/jlk/full-64499

Published

2021-08-06

How To Cite

PUTRA, Putu Mas Anggita; KADYANAN, I Gusti Agung Gede Arya. Implementation of K-Means Clustering Algorithm in Determining Classification of the Spread of the COVID-19 Virus in Bali.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 10, n. 1, p. 11-28, aug. 2021. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/64499. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JLK.2021.v10.i01.p03.

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Issue

Vol 10 No 1 (2021): JELIKU Volume 10 No 1, Agustus 2021

Section

Articles

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