Implementation Of K-Medoids Algorithm In Grouping Diseases In The Community
Keywords:
Data Mining K-Medoids Algorithm Disease in societyAbstract
Disease is a type of disease that attacks children and adults. Disease transmission can be through direct contact, coughing, sneezing and so on. In this case, some of the complications that often make the Bukit Maraja Community Health Center community include diarrhea, allergies, influenza, HIV, gout and so on. Based on the Ministry of Health, Indonesia is still one of the countries that often suffer from diseases. Puskesmas Bukit Maraja noted that the number of cases of the latest disease has increased in the past four years. To see the results of grouping diseases that often occur or are most visited by the people of the Bukit Maraja Community Health Center, the data mining method is used with the K-Medoids Algorithm. Sources of data obtained by making observations at the Bukit Maraja Community Health Center so that it is hoped that this research can help the government and community health centers in overcoming diseases that often occur or are most visited by the Bukit Maraja Community Health Center. The results obtained from these tests are the same calculations between manuals. And rapidminer, and obtained high and low clusters, high cluster there are 5 types of diseases such as Dbd, Types, Asthma, Rubella, tuberculosis and low clusters there are 19 types of diseases, namely diarrhea, diarrhea, gout, diabetes, HIV, tetanus, scabies, ulcers , Influenza, Worms, Ringworm And Ulcer
References
[2] L. Purba, S. Saifullah, and R. Dewi, “Pengelompokan Kasus Penyakit Aids Berdasarkan Provinsi Dengan Data Mining K-Medoids Clustering,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 687–694, 2019, doi: 10.30865/komik.v3i1.1679.
[3] L. R. Angga Ginanjar Mabrur, “Penerapan Data Mining Untuk Memprediksi Kriteria Nasabah Kredit,” J. Komput. dan Inform., vol. 1, no. 1, pp. 53–57, 2012.
[4] N. Erlangga, S. Solikhun, and I. Irawan, “Penerapan Data Mining Dalam Mengelompokan Produksi Jagung Menurut Provinsi Menggunakan Algoritma K-Means,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 702–709, 2019, doi: 10.30865/komik.v3i1.1681.
[5] Y. Mardi, “Data Mining : Klasifikasi Menggunakan Algoritma C4.5,” J. Edik Inform., vol. 2, no. 2, pp. 213–219, 2017.
[6] A. P. Windarto, “Penerapan Datamining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering Method,” Techno.Com, vol. 16, no. 4, pp. 348–357, 2017, doi: 10.33633/tc.v16i4.1447.
[7] E. Nanda, Solikun, and Irawan, “PENERAPAN DATA MINING DALAM MENGELOMPOKAN PRODUKSI JAGUNG MENURUT PROVINSI MENGGUNAKAN ALGORITMA K-MEANS,” vol. 3, pp. 702–709, 2019, doi: 10.30865/komik.v3i1.1681.
[8] S. M. Dewi, A. P. Windarto, and D. Hartama, “Penerapan Datamining Dengan Metode Klasifikasi Untuk Strategi Penjualan Produk Di Ud.Selamat Selular,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 617–621, 2019, doi: 10.30865/komik.v3i1.1669.
[9] D. Novianti, “Implementasi Algoritma Naïve Bayes Pada Data Set Hepatitis Menggunakan Rapid Miner,” Paradig. - J. Komput. dan Inform., vol. 21, no. 1, pp. 49–54, 2019, doi: 10.31294/p.v21i1.4979.
[10] Suendri, “Implementasi Diagram UML (Unified Modelling Language) Pada Perancangan Sistem Informasi Remunerasi Dosen Dengan Database Oracle (Studi Kasus: UIN Sumatera Utara Medan),” J. Ilmu Komput. dan Inform., vol. 3, no. 1, pp. 1–9, 2018.
[11] K. Kawano, Y. Umemura, and Y. Kano, “ Field Assessment and Inheritance of Cassava Resistance to Superelongation Disease 1 ,” Crop Sci., vol. 23, no. 2, pp. 201–205, 1983, doi: 10.2135/cropsci1983.0011183x002300020002x.
[12] S. Santoso and R. Nurmalina, “Perencanaan dan Pengembangan Aplikasi Absensi Mahasiswa Menggunakan Smart Card Guna Pengembangan Kampus Cerdas (Studi Kasus Politeknik Negeri Tanah Laut),” J. Integr., vol. 9, no. 1, pp. 84–91, 2017.
[13] P. Soepomo, “Membangun Aplikasi Autogenerate Script ke Flowchart untuk Mendukung Business Process Reengineering,” J. Sarj. Tek. Inform., vol. 1, no. 2, pp. 448–456, 2013, doi: 10.12928/jstie.v1i2.2555.
[14] I. Indriani, P. Damanik, I. S. Saragih, and I. Parlina, “Algoritma K-Medoids untuk Mengelompokkan Desa yang Memiliki Fasilitas Sekolah di Indonesia,” no. September, pp. 520–527, 2019.
[15] R. W. Sari, A. Wanto, and A. P. Windarto, “Implementasi Rapidminer Dengan Metode K-Means (Study Kasus: Imunisasi Campak Pada Balita Berdasarkan Provinsi),” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 2, no. 1, pp. 224–230, 2018, doi: 10.30865/komik.v2i1.930.
