Implementation of the K-Medoids Algorithm for Data Clustering of Covid 19 Cases in West Java

Ririn Restu Aria

Abstract


The Covid 19 pandemic has hit Indonesia for almost 15 months since March 2020. The virus has spread to all provinces in Indonesia. Various efforts were made to be able to reduce or prevent the spread of the coronavirus, including the implementation of the PSBB in various areas including in West Java province. In this study, the objective of this research is to cluster the data on cases of Covid 19 in West Java which are recapitulated daily based on districts/cities that occurred on May 20, 2021. For the clustering process, the K-medoids algorithm is used which determines 3 clusters based on the variables used, namely discarded close contact, suspects discarded, probable completed, probable died, totally positive, positive recovered, and positive died. For data processing, a calculation analysis was carried out using the stages in the K-medoids algorithm and the Rapidminer application with high cluster mapping of 6 districts/cities, medium clusters there were 19 districts/cities, while low clusters had 2 districts/cities. The results of the analysis are expected to provide information about the distribution and mapping of clusters in West Java province.  


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References


A. Solichin and K. Khairunnisa, “Klasterisasi Persebaran Virus Corona (Covid-19) Di DKI Jakarta Menggunakan Metode K-Means,” Fountain Informatics J., vol. 5, no. 2, pp. 52–59, 2020.

A. H. A. R. S. R. Halfis, “Analisis Algoritma Klasifikasi C 4.5 Untuk Memprediksi Keberhasilan ImmunotherapyPada Penyakit Kutil,” J. Tek. Komput. AMIK BSI, vol. v, no. N0.2, pp. 155–160, 2019.

T. Khotimah and Darsin, “Clustering Perkembangan Kasus Covid-19 Di Indonesia Menggunakan Self Organizing Map,” J. Dialekt. Inform., vol. 1, no. 1, pp. 23–26, 2020.

S. Hanoatubun, “Dampak Covid – 19 terhadap Prekonomian Indonesia,” EduPsyCouns J. Educ. Psychol. Couns., vol. 2, no. 1, pp. 146–153, 2020.

A. Amalia and N. Sa’adah, “Dampak Wabah Covid-19 Terhadap Kegiatan Belajar Mengajar Di Indonesia,” J. Psikol., vol. 13, no. 2, pp. 214–225, 2020.

B. S. A. U. A. Kafabih, “Sektor Pariwisata Indonesia Di Tengah Pandemi Covid 19,” J. Din. Ekon. Pembang., vol. 4, no. 1, pp. 383–389, 2021.

P. J. Barat, “Pusat Informasi dan Koordinasi Covid 19 Provinsi Jawa Barat,” 2021. [Online]. Available: https://pikobar.jabarprov.go.id.

P. P. P. A. N. . Sukma Sindi, Weni Ratnasari Orktapia Ningse, Irma Agustika Sihombing and D. H. Fikrul Ilmi R.H.Zer, “Analisis Algoritma K-Medoids Clustering Dalam Pengelompokan Penyebaran Covid-19 Di Indonesia,” J. Teknol. Inf., vol. 4, no. 1, pp. 166–173, 2020.

Samudi, S. Widodo, and H. Brawijaya, “The K-Medoids Clustering Method for Learning Applications during the COVID-19 Pandemic,” Sinkron, vol. 5, no. 1, pp. 116–121, 2020.

“Bagian 1: Kombinasi Metode Klastering dan Klasifikasi (Kasus Pandemi Covid-19 di Indonesia),” Agus Perdana Wind. Ulfah Indriani Mokhamad Ramdhani Raharjo Linda Sari Dewi, vol. 4, no. 3, pp. 855–862, 2020.

I. Kamila, U. Khairunnisa, and Mustakim, “Perbandingan Algoritma K-Means dan K-Medoids untuk Pengelompokan Data Transaksi Bongkar Muat di Provinsi Riau,” J. Ilm. Rekayasa dan Manaj. Sist. Inf., vol. 5, no. 1, pp. 119–125, 2019.

A. P. Windarto, “Penerapan Data Mining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering,” J. Teknol. Inf. Tecno.com, vol. vol.16, no. no.4, pp. 348–357, 2017.

R. R. Aria and S. Susilowati, “Analisa Data Penjualan SaRa Collectionmenggunakan metode Apriori,” J. Tek. KomputerAMIK BSI, vol. 7, no. 1, pp. 68–73, 2021.

E. Irawan, S. P. Siregar, I. S. Damanik, and I. S. Saragih, “Implementasi Algoritma K-Medoids untuk Pengelompokkan Sebaran Mahasiswa Baru,” J. Ris. Sist. Inf. Dan Tek. Inform., vol. 5, no. 2, pp. 275–281, 2020.




DOI: https://doi.org/10.30645/ijistech.v5i1.109

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