Clustering of District or City in Central Java Based COVID-19 Case Using K-Means Clustering

Authors

  • Ali Mahmudan <span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Universitas Diponegoro</span></span>

DOI:

https://doi.org/10.20956/jmsk.v17i1.10727

Keywords:

Cluster, COVID-19, Central Java, Case

Abstract

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.  

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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.

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Published

2020-08-24

How to Cite

Mahmudan, A. (2020). Clustering of District or City in Central Java Based COVID-19 Case Using K-Means Clustering. Jurnal Matematika, Statistika Dan Komputasi, 17(1), 1-13. https://doi.org/10.20956/jmsk.v17i1.10727

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Research Articles