Clustering Pelaksanaan Vaksinasi di Jawa Tengah Menggunakan Metode K-Means
DOI:
https://doi.org/10.30646/sinus.v20i2.620Keywords:
clustering, k-means, vaccine covid-19, central javaAbstract
Vaccines are a form of government responsibility in guaranteeing citizens' rights to health. In its implementation, the government seeks to fulfill the availability of vaccines for at least 208,265,720 residents. This number is the minimum number to be able to achieve herd immunity. To make it easier to show the vaccine achievements of each region, clustering can be done. The K-Means method is a non-hierarchical clustering method that is performed by partitioning data into predefined clusters. The research objects are 35 cities/districts in Central Java. The results of the data processing show that there are 2 optimal clusters, with information that cluster 1 is an area with a high vaccination achievement, while cluster 2 is an area with a low vaccination achievement.
References
Chung, J. Y., Thone, M. N., & Kwon, Y. J. (2021). COVID-19 vaccines: The status and perspectives in delivery points of view. In Advanced Drug Delivery Reviews (Vol. 170, pp. 1–25). https://doi.org/10.1016/j.addr.2020.12.011
Dong, Y., Dai, T., Wei, Y., Zhang, L., Zheng, M., & Zhou, F. (2020). A systematic review of SARS-CoV-2 vaccine candidates. Signal Transduction and Targeted Therapy, 5(1). https://doi.org/10.1038/s41392-020-00352-y
Kaur, S. P., & Gupta, V. (2020). COVID-19 Vaccine: A comprehensive status report. Virus Research, 288(July), 198114. https://doi.org/10.1016/j.virusres.2020.198114
Makmun, A., & Hazhiyah, S. F. (2020). Tinjauan Terkait Pengembangan Vaksin Covid 19. Molucca Medica, 13, 52–59. https://doi.org/10.30598/molmed.2020.v13.i2.52
Masnun, M. A., Sulistyowati, E., & Ronaboyd, I. (2021). Pelindungan Hukum Atas Vaksin Covid-19 Dan Tanggung Jawab Negara Pemenuhan Vaksin Dalam Mewujudukan Negara Kesejahteraan. DiH: Jurnal Ilmu Hukum, 17(1), 35–47. https://doi.org/10.30996/dih.v17i1.4325
Rachmasari, S. S., & Kudus, A. (2021). Perbandingan Penerapan Algoritme K-Means dan Fuzzy C- Means untuk Mengelompokkan Data Kinerja Dosen Universitas Islam Bandung. Prosiding Statistika, 513–520.
Ramadhayanti, L. T., Buaton, R., Maulita, Y., & Pembahasan, H. D. A. N. (2022). Penerapan Data Mining Pengelompokkan Data Vaksinasi Covid-19 Menggunakan Metode Clustering. BIMASATI (Bulletin of Multi-Disciplinary Science and Applied Technology), 1(3), 111–114.
Rawat, K., Kumari, P., & Saha, L. (2021). COVID-19 vaccine: A recent update in pipeline vaccines, their design and development strategies. European Journal of Pharmacology, 892(September 2020), 173751. https://doi.org/10.1016/j.ejphar.2020.173751
Rodriguez-Morales, A. J., Cardona-Ospina, J. A., Gutiérrez-Ocampo, E., Villamizar-Peña, R., Holguin-Rivera, Y., Escalera-Antezana, J. P., Alvarado-Arnez, L. E., Bonilla-Aldana, D. K., Franco-Paredes, C., Henao-Martinez, A. F., Paniz-Mondolfi, A., Lagos-Grisales, G. J., RamÃrez-Vallejo, E., Suárez, J. A., Zambrano, L. I., Villamil-Gómez, W. E., Balbin-Ramon, G. J., Rabaan, A. A., Harapan, H., … Sah, R. (2020). Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis. Travel Medicine and Infectious Disease, 34(March), 101623. https://doi.org/10.1016/j.tmaid.2020.101623
Saputri, D. S., Putra, G. M., & Larasati, M. F. (2022). Implementation of the K-Means Clustering Algorithm for the Covid-19 Vaccinated Village in the Ujung Padang Sub-District Implementasi Algoritma K-Means Clustering Untuk Desa Tervaksinasi Covid-19 Pada Kecamatan Ujung Padang. Jurnal Teknik Informatika (JUTIF), 3(2), 261–267.
Sari, D. N. P., & Sukestiyarno, Y. L. (2021). Analisis Cluster dengan Metode K-Means pada Persebaran Kasus Covid-19 Berdasarkan Provinsi di Indonesia. PRISMA, Prosiding Seminar Nasional Matematika, 4, 602–610. https://journal.unnes.ac.id/sju/index.php/prisma/
Sharma, O., Sultan, A. A., Ding, H., & Triggle, C. R. (2020). A Review of the Progress and Challenges of Developing a Vaccine for COVID-19. In Frontiers in Immunology (Vol. 11). https://doi.org/10.3389/fimmu.2020.585354
Simanjuntak, V. W., Angga, L. O., Charlota, L., & Tahamata, O. (2021). Perlindungan Hukum Konsumen Bagi Penerima Vaksin Covid-19. SANISA: Jurnal Kreativitas Mahasiswa Hukum, 1(2), 42–53.
Yuniarfi, I., & Saifulloh. (2021). Penerapan Algoritma K-Means untuk Pengelompokan Usia Calon Penerima Vaksin di Kab. Ngawi. Jurnal Informasi Dan Komputer, 9(2), 51–62.
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