PENGELOMPOKKAN JUMLAH DESA/KELURAHAN YANG MEMILIKI SARANA KESEHATAN MENURUT PROVINSI DENGAN MENGGUNAKAN METODE K-MEANS CLUSTER

Authors

  • Dwi Retno Sekar Mayangsari
  • Solikhun Solikhun
  • Irawan Irawan

DOI:

https://doi.org/10.30865/komik.v3i1.1615

Abstract

Health problems that exist in the community, especially in developing countries such as Indonesia are influenced by two factors, namely physical aspects and non-physical aspects. Physical aspects such as health facilities and treatment of diseases, while the second is non-physical aspects that involve health problems. The construction of health facilities is an effort to fulfill one of the basic rights of the people carried out by the government to provide health facilities that will be used in helping the community to be healthy. So the purpose of this study is to group villages / kelurahan that have health facilities quickly and effectively. Describe the number of villages / kelurahan that have health facilities using the K-Means method, in order to find out whether the constraints faced by the government in grouping villages / kelurahan that have inadequate health facilities based on the provinces in Indonesia, require a long time to group them. It is expected that using this method can produce clustering which is proven to be accurate in the case of the number of villages / kelurahan that have inadequate health facilities based on the provinces in Indonesia.

Keywords: Health Facilities, Datamining, K-Means

References

M. Tangkilisan, A. Sorisi, And J. S. B. Tuda, “Peran Sarana Pelayanan Kesehatan Terhadap Kejadian Malaria Di Kecamatan Silian Raya Kabupaten Minahasa Tenggara,†J. E-Biomedik, Vol. 3, No. 1, 2015.

A. Saleh, “Klasifikasi Metode Naive Bayes Dalam Data Mining Untuk Menentukan Konsentrasi Siswa ( Studi Kasus Di Mas Pab 2 Medan ),†Konf. Nas. Pengemb. Teknol. Inf. Dan Komun., Pp. 200–208, 2014.

R. Setiawan And N. Tes, “Penerapan Data Mining Menggunakan Algoritma K-Means Clustering Untuk Menentukan Strategi Promosi Mahasiswa Baru ( Studi Kasus : Politeknik Lp3i Jakarta ),†Vol. 3, No. 1, Pp. 76–92, 2016.

2015 Surmayanti, Et Al, “Penerapan Analysis Clustering Pada Penjualan Komputer Dengan Perancangan Aplikasi Data Mining Menggunakan Algoritma K-Means,†Pros. Semin. Ilm. Nas. Teknol. Komput., Vol. 1, No. Senatkom, Pp. 50–59, 2015.

A. K. Wardhani, “Implementasi Algoritma K-Means Untuk Pengelompokkan Penyakit Pasien Pada Puskesmas Kajen Pekalongan,†Vol. 14, Pp. 30–37, 2016.

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Published

2019-11-25