Analisis Karakteristik Wilayah Transmisi Covid-19 dengan Menggunakan Metode K-Means Clustering

Dina Tri Utari

Abstract


Since the beginning of 2020, Indonesia has become one of the countries affected by the Covid-19 pandemic. Various efforts have been made by the government to prevent wider disease transmission. Large-scale social restrictions are one of the efforts that have been made by the Government. Bali Province is one of the areas where there are quite a lot of community activities, considering that Bali is a tourist destination that is in great demand by local and foreign tourists. This study aims to see the incidence of positive cases of Covid-19 based on the type of Covid-19 transmission that has occurred in all areas of Bali, so that the mitigation design can be adjusted based on the characteristics of the source of infection in various existing areas. The results show that based on the transmission source, it can be grouped into four clusters that have their respective characteristics. The proposed mitigation strategies include restrictions on local transmission and domestic travel for areas in clusters 1, 2, and 3. Meanwhile, restrictions on local transmission and overseas travel are in the 4th cluster.

 

Sejak awal tahun 2020, Indonesia menjadi salah satu negara terkena pandemi Covid-19. Berbagai upaya telah dilakukan oleh pemerintah untuk mencegah transmisi penyakit yang lebih luas. Pembatasan sosial berskala besar menjadi salah satu upaya yang telah dilakukan oleh Pemerintah. Provinsi Bali merupakan salah satu wilayah yang cukup banyak terjadi aktivitas masyarakat, mengingat Bali merupakan kawasan destinasi wisata yang banyak diminati wisatawan lokal maupun mancanegara. Penelitian ini bertujuan untuk melihat kejadian kasus positif Covid-19 berdasarkan jenis transmisi Covid-19 yang terjadi di seluruh wilayah Bali, sehingga rancangan mitigasi dapat disesuaikan berdasarkan karakteristik sumber infeksi di berbagai wilayah yang ada. Hasil menunjukkan, bahwa berdasarkan sumber transmisi dapat dikelompokkan menjadi empat cluster yang memiliki karakteristik masing-masing. Usulan strategi mitigasi yang diberikan antara lain pembatasan transmisi lokal dan perjalanan dalam negeri untuk wilayah yang berada pada cluster 1, 2, dan 3. Sedangkan pembatasan transmisi lokal serta perjalanan luar negeri pada cluster ke-4.


Keywords


covid-19; K-Means clustering; profiling; risk mitigation

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References


CNN Indonesia, â€55 Rumah Sakit Rujukan Covid-19 di Bali Hampir Penuhâ€,CNN Indonesia, 9 September 2020. [Online]. Available: https://www.cnnindonesia.com/nasional/20200909150125-20-544480/55-rumah-sakit-rujukan-covid-19-di-bali-hampir-penuh/. [Använd 19 January 2021].

Kabar24, †504 Tenaga Medis Wafat Akibat Virus Corona, Desember Paling Tinggiâ€, Iim Fathimah Timorria, 2 January 2021. [Online]. Available: https://kabar24.bisnis.com/read/20210102/15/1337841/504-tenaga-medis-wafat-akibat-virus-corona-desember-paling-tinggi/. [Använd 19 January 2021].

Jakarta Globe, “Customs Office Simplifies Import Requirements for Medical Equipmentâ€, Mariska, D., 3 April 2020. [Online]. Available: https://jakartaglobe.id/news/customs-office-simplifies-import-requirements-for-medical-equipment/. [Använd 19 January 2021].

Y. Yao, Y. Liu, Y. Yu, H. Xu, W. Lv, Z. Li, & X. Chen, â€An Effective SVM Algorithm Based on K-Means Clustering,†Journal of Computers, 8(10), 2013.

P. Bali, â€Provinsi Bali Tanggap Covid-19,†Provinsi Bali, 2 March 2020. [Online]. Available: https://infocorona.baliprov.go.id/. [Använd 19 January 2021].

P. N. Tan, M. Steinbach, A. Karpatne och V. Kumar, Introduction to Data Mining (Second Edition), New York CIty: Pearson, 2019.

F. A. Hermawati, Data Mining, Yogyakarta: Penerbit ANDI, 2013.

J. A. Hartigan och M. A. Wong, â€Algorithm AS 136: A K-Means Clustering Algorithm,†Journal of the Royal Statistical Society. Series C (Applied Statistics), vol. 28, nr 1, pp. 100-108, 1979.

L. Kaufman och P. J. Pousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, New Jersey: John Wiley & Sons, Inc., 1990.

P. Kaur, J. Stoltzfus och V. Yellapu, â€Descriptive statistics,†Int J Acad Med, pp. 60-63, 2018.




DOI: https://doi.org/10.35194/jmtsi.v5i1.1220

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