Application of Fuzzy C-Means in Grouping Districts/Cities Based on Health Service Facilities in East Java

Abstract

Health is a very important thing for every human being because without good health, then humans will be difficult to do activities. We need health facilities that can support human health or society. This study discussed use of clustering algorithm in grouping districts or cities in East Java according to the number of health care facilities using Fuzzy C-Means. The data source of this research got from Central Bureau of Statistics of East Java. The cluster results obtained then validated with sillhoute coefficient and purity. With the centroid gained in the last iteration, four districts/cities were included in the first cluster, 26 districts/cities included in the second cluster, and 8 districts/cities included in the third cluster. The results of clustering validation is the value of sillhoute coefficient of 0.695 and the purity value of 1. This can be a suggestion to the East Java provincial government, districts / municipalities that are more concerned with having the number of health facilities based on the cluster that has been done.Abstrak-Kesehatan adalah hal yang sangat penting bagi setiap manusia karena tanpa kesehatan yang baik, maka manusia akan sulit untuk melakukan aktivitas. Untuk menunjang kesehatan pada manusia diperlukan suatu fasilitas kesehatan yang dapat menunjang kesehatan manusia atau masyarakat. Dalam penelitian ini membahas pemanfaatan algoritma clustering dalam mengelompokkan kabupaten atau kota di Jawa Timur menurut jumlah fasilitas pelayanan kesehatan menggunakan Fuzzy C-Means. Sumber data penelitian ini berasal dari BPS Jawa Timur. Hasil cluster yang didapat kemudian divalidasi dengan sillhoute coefficient dan purity. Dengan centroid yang telah didapatkan pada iterasi terakhir, diperoleh empat kabupaten/kota termasuk dalam cluster pertama, 26 kabupaten/kota termasuk dalam cluster kedua, dan 8 kabupaten/kota termasuk dalam cluster ketiga. Dari validasi clustering yang dilakukan, didapatkan nilai sillhoute coefficient sebesar 0,695 dan nilai purity sebesar 1. Hal ini dapat dijadikan masukan pada pemerintah provinsi Jawa Timur, kabupaten /kota yang menjadi perhatian lebih yang memiliki jumlah fasilitas kesehatan berdasarkan cluster yang telah dilakukan.

Grouping Student Awareness on Security Of E-Learning Information Using Fuzzy C-Means Method

“…The question above is divided into 3 clusters, so it is divided to determine the average. To calculate the objective function of a cluster, the formula is used Equation (6).…”

“…Many researchers have taken advantage of the advantages of the Fuzzy C-Means method to complete case studies in the grouping, including grouping customer loyalty [5], grouping health service facilities [6], and grouping health care providers [7]. This study uses the Fuzzy C-Means quantitative method.…”