ANALISIS KLASTER DENGAN METODE K-MEANS PADA PERSEBARAN KASUS COVID-19 BERDASARKAN DESA DI KECAMATAN KEMANG – BOGOR

Yuni Permata Sari; Choirul Basir

doi:10.33592/pelita.v24i2.5504

Authors

Yuni Permata Sari Universitas Pamulang
Choirul Basir Universitas Pamulang

DOI:

https://doi.org/10.33592/pelita.v24i2.5504

Keywords:

Cluster Analysis, Covid-19, K-means

Abstract

Coronavirus (Covid-19) is a new type of virus found in humans in Wuhan Province, China at the end of 2019. Indonesia is one of the countries infected with the Covid-19 virus. The purpose of this study is to group the distribution of Covid-19 cases by village in Kemang-Bogor District by applying the K-Means method. The data used in this study is secondary data on the variables of the spread of Covid-19 from January to August 2021. The grouping was carried out based on the parameters of the number of confirmed positive cases, recovered, and died. In this study, to group the data, the K-Means method and the Euclidean distance measurement method were used. Based on the results of the study, it is shown that the K-Means Clustering method can be applied to group villages in Kemang-Bogor District with the optimal cluster located at k = 3 which means that the recommended cluster is 3 clusters with cluster 1 containing 6 villages, cluster 2 containing 1 village, and cluster 3 containing 2 villages.

References

Bastian, N., & Lardo, C. (2018). Multiple stellar populations in globular clusters. Annual review of Astronomy and Astrophysics, 56, 83-136.

Blair, R. A., Morse, B. S., & Tsai, L. L. (2017). Public health and public trust: Survey evidence from the Ebola Virus Disease epidemic in Liberia. Social Science & Medicine, 89-97.

Fadhli. (2011). Analisis Cluster Untuk Pemetaan Mutu Pendidikan di Aceh. Tesis. PPs-UGM.

Han, J., Kamber, M., Pei, J.: Data Mining Concept and Techniques, 3rd ed. Morgan Kaufmann-Elsevier, Amsterdam (2012)

Kemenkes, R. I. (2019). Keputusan menteri kesehatan Republik Indonesia Nomor HK. 01.07/menkes/413/2020 tentang pedoman pencegahan dan pengendalian corona virus disease 2019 (Covid-19). MenKes/413/2020, 207.

Kementerian Kesehatan, RI. (2020). Frequently Asked Questions (FAQ) COVID-19. Jakarta

MacQueen, J.B. (1967). Some methods for classification and analysis of multivariate observations. In L.M. Le Cam & J. Neyman (Eds.), Proceedings of the fofty Berkeley symposium on mathematical statistics and probability (Vol. 1, pp. 281-297). California: University of California Press.

Prof. Dr. Sugiono, (2011). Metode Penelitian Pendidikan ( Pendekatan Kuantitatif, Kualitatif, dan R&D); Alfabeta. Bandung.

Randolph, H. E., & Barreiro, L. B. (2020). Herd Immunity: Understanding COVID-19. Immunity,737-741.

Sari, D. N. P., & Sukestiyarno, Y. L. (2021) Analisis Cluster Dengan Metode K-Means Pada Persebaran Kasus COVID-19 Berdasarkan Provinsi di Indonesia. In PRISMA, Prosiding Seminar Nasional Matematika (Vol. 4, pp. 602-610).

Satyahadewi, N., & Ediyanto, M. N. M. (2013). Pengklasifikasian karakteristik dengan metode K-Means Cluster analysis.

Sholihah, S. A. (2021). Analisis cluster untuk pemetaan data kasus Covid-19 di Indonesia menggunakan K-Means (Doctoral dissertation, UIN Sunan Ampel Surabaya).

Solichin, A., & Khairunnisa, K. (2020). Klasterisasi persebaran virus Corona (Covid-19) di DKI Jakarta menggunakan metode K-Means. Fountain of Informatics Journal, 5(2), 52-59.

Suryahadi, A., Izzati, R. A., & Suryadarma, D. (2020). The Impact of COVID-19 Outbreak on Poverty; An Estimation for Indonesia. Jakarta: The SMERU Institute.

Tan, P.N., Steinbach, M., Kumar, V. (2006) Introduction to Data Mining. Boston:Pearson Education.

World Health Organization. (2021). Data Covid-19 di Indonesia. Website : https://covid19.go.id/id