Penerapan Algoritma K-Means Dalam Pengelompokan Penerimaan Imunisasi Dasar Lengkap Menurut Provinsi

Rico Hermanto Manurung(1*), Muhammad Ridwan Lubis(2), S Saifullah(3),

(1) STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(2) AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(3) STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(*) Corresponding Author

Abstract


Immunization is a form of immune system or immune to disease. The process of giving immunizations gives the body immunity to be immune to disease. With routine immunization improves the quality of children's health. According to data from the official Government website, the lowest percentage of children aged from 12 to 23 months who received immunization is 40% at the provincial level in Indonesia. This research was conducted by grouping the minimum level of immunization from 2015 to 2018 using the K-means method. The data obtained are grouped into 2 Clusters starting from the lowest and highest. The author obtains data from the official website of Government which addresses https://bps.go.id. The conclusion of this study concludes that there is still a lack of child immunization in Indonesia, so that there is an expectation that the Government in every region in Indonesia be more active for the welfare of children's health.

Full Text:

PDF

References


A. Prayogo et al., “Kelengkapan Imunisasi Dasar pada Anak Usia 1 – 5 tahun,” Sari Pediatr., vol. 11, no. 1, p. 15, 2016, doi: 10.14238/sp11.1.2009.15-20.

S. R. Ningsih, I. S. Damanik, A. P. Windarto, H. S. Tambunan, J. Jalaluddin, and A. Wanto, “Analisis K-Medoids Dalam Pengelompokkan Penduduk Buta Huruf Menurut Provinsi,” Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. September, p. 721, 2019, doi: 10.30645/senaris.v1i0.78.

M. H. Adiya and Y. Desnelita, “Jurnal Nasional Teknologi dan Sistem Informasi Penerapan Algoritma K-Means Untuk Clustering Data Obat-Obatan Pada RSUD Pekanbaru,” vol. 01, pp. 17–24, 2019.




DOI: https://doi.org/10.30645/kesatria.v2i1.54

DOI (PDF): https://doi.org/10.30645/kesatria.v2i1.54.g54

Refbacks

  • There are currently no refbacks.


Published Papers Indexed/Abstracted By: