Clustering of District or City in Central Java Based COVID-19 Case Using K-Means Clustering
DOI:
https://doi.org/10.20956/jmsk.v17i1.10727Keywords:
Cluster, COVID-19, Central Java, CaseAbstract
Coronavirus Disease 2019 (COVID-19) is a new type of disease that has never been identified in humans. Severe cases of COVID-19 can cause acute respiratory syndrome, kidney failure, and even death. COVID-19 cases have spread all over the world, including in Indonesia. One province with a high number of COVID-19 cases is Central Java Province. Therefore, it is necessary to cluster districts or cities in Central Java based on the COVID-19 case to prevent the spread of COVID-19. Clustering the cases of COVID-19 is done using k-means clustering which is a method of clustering a number of data by means of partitions. The results show that cluster 2 and cluster 3 are areas that the government should pay more attention to because they are areas with a high number of active cases and the high death cases of COVID-19 in Central Java.Downloads
References
Daftar Pustaka
Carreño, I. et al. 2020. The Implications of the COVID-19 Pandemic on Trade. European Journal of Risk Regulation, Vol. 11, No. 2, 402-410. https://doi.org/10.1017/err.2020.48
Drosten, C. 2003. et al. Identification of a Novel Coronavirus in a Patients with Severe Acute Respiratory Syndrome. The New England Journal of Medicine, Vol. 348, No.20, 1967-76. https://doi.org/10.1056/NEJMoa030747
Kementerian Dalam Negeri. 2020. Pedoman Umum Menghadapi Pandemi COVID-19 bagi Pemerintah Daerah Pencegahan, Pengendalian, Diagnosis dan Manajemen. Jakarta.
Kementerian Kesehatan RI. 2020. Pedoman Kesiapsiagaan Menghadapi Coronavirus Disease (COVID-19). Jakarta.
Lubis. M., S., W. 2020. Dampak PSBB: Makin Efisien, Belanja Balas Dendam Bantu pembulihan. Sumber: https://ekonomi.bisnis.com/read/20200430/12/1235182/dampak-psbb-makin-efisien-belanja-balas-dendam-bantu-pemulihan. Diakses 17 Juli 2020.
Mestisen, B. M. & Sari, H. L. 2015. Analisis Clustering Menggunakan Metode K-Means dalam Pengelompokan Penjualan Produk pada Swalayan Fadhila. Jurnal Media Infotama, Vol. 11, No. 2, 112-113. https://doi.org/10.37676/jmi.v11i2.258
Nishiura, H., Linton, N., M., & Akhmetszhanov, A., R. 2020. Serial Interval of Novel Coronavirus (COVID-19) Infections. International Journal of Infectious Diseases 93 (2020) 284–286. https://doi.org/10.1016/j.ijid.2020.02.060
Nuraini, R. 2020. Kasus Covid-19 Pertama, Masyarakat Jangan Panik. Sumber: https://indonesia.go.id/narasi/indonesia-dalam-angka/ekonomi/kasus-covid-19-pertama-masyarakat-jangan-panik. Diakses 16 Juli 2020.
Rahmawati, L., Sihwi, S. W., & Suryani, E. 2014. Analis Clustering Menggunakan Metode K-Means dan Hierarchy Clustering (Studi Kasus : Dokumen Skripsi Jurusan Kimia, FMIPA, Universitas Sebelas Maret). Jurnal Teknologi dan Informasi, Vol. 3, No. 2. https://doi.org/10.20961/itsmart.v3i2.654
Santoso, S. 2002. Buku Latihan SPSS Statistik Multivariat. PT Elex Media Komputindo, Jakarta.
Santoso, S. 2018. Mahir Satatistik Multivariat dengan SPSS. PT Elex Media Komputindo, Jakarta.
Sari, D., N. 2020. Efek Samping PSBB Terhadap Masyarakat. Sumber: https://www.suara.com/yoursay/2020/04/16/171009/efek-samping-psbb-terhadap-masyarakat. Diakses 17 Juli 2020.
Shalihah, N., F. 2020. Peringatan WHO untuk Indonesia soal Persiapan New Normal. Sumber: https://www.kompas.com/tren/read/2020/06/13/121500765/peringatan-who-untuk-indonesia-soal-persiapan-new-normal?page=all. Diakses 17 Juli 2020.
Supranto, J. 2000. Teknik Sampling untuk Survei dan Eksperimen, Edisi Baru. PT. Rineka Cipta, Jakarta.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Jurnal Matematika, Statistika dan Komputasi is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution License, allowing third parties to copy and redistribute the material in any medium or format, transform, and build upon the material, provided the original work is properly cited and states its license. This license allows authors and readers to use all articles, data sets, graphics and appendices in data mining applications, search engines, web sites, blogs and other platforms by providing appropriate reference.
