A Clustering Of Generative and Infectious Diseases Using Fuzzy C-Means

Processing information of the most disease suffered by the people in a region, particularly to those receive Health Insurance card (Jaminan Kesehatan Daerah; JAMKESDA) was one of the government focuses. The study used Fuzzy C-Means (FCM), to process the disease data suffered by JAMKESDA users for four years in regional public hospital. The results showed that FCM method could group the disease into two forms namely generative and infectious one. Based on the cluster validity test using Partition Coefficient (PC), the partition value of fuzzy is higher by using two clusters (0.68) rather than three clusters. In conclusion, the forming model of two clusters is more optimal than that three one to process data disease of JAMKESDA users Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0cm; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

[1]  Arash Riasi,et al.  Customer Clustering Using a Combination of Fuzzy C-Means and Genetic Algorithms , 2016 .

[2]  Zhongxing Zhang,et al.  Intrusion Detection Network Based on Fuzzy C-Means and Particle Swarm Optimization , 2016 .

[3]  Maksum Radji,et al.  Buku ajar Mikrobiologi: panduan mahasiswa farmasi & kedokteran , 2010 .

[4]  Dewi Mariati,et al.  Potensi Isolat Actinomycetes Dari Rizosfer Padi (Oryza sativa L.) Sebagai Penghasil Antibiotik , 2013 .

[5]  Herlina Latipa Sari,et al.  Perbandingan Algoritma Fuzzy C-Means (FCM) Dan Algoritma Mixture Dalam Penclusteran Data Curah Hujan Kota Bengkulu , 2016 .

[6]  Wahyu Oktri Widyarto,et al.  Clustering Data Nilai Mahasiswa untuk Pengelompokan Konsentrasi Jurusan Menggunakan Fuzzy Cluster Means , 2013 .

[7]  Nurliana Nasution,et al.  Aplikasi E-Zakat Penerimaan Dan Penyaluran Menggunakan Fuzzy C-Means (Studi Kasus: LAZISMU Pekanbaru) , 2015 .

[8]  Rosmiati,et al.  Aplikasi Berbasis Fuzzy C-Means Dalam Penentuan Predikat Kelulusan Mahasiswa , 2017 .

[9]  Wina Witanti,et al.  KLASIFIKASI KECENDERUNGAN PENYAKIT MATA DI JAWA BARAT DENGAN ASSOCIATION RULE DAN NAÏVE BAYES CLASSIFIER , 2017 .

[10]  Oni Soesanto,et al.  K-MEANS UNTUK KLASIFIKASI PENYAKIT KARIES GIGI , 2017 .

[11]  Irwan Budiman,et al.  CLUSTERING DATA CUACA UNTUK PENGENALAN POLA PERIODITAS IKLIM WILAYAH PELAIHARI DENGAN METODE FUZZY C-MEANS , 2015 .

[12]  Neeraja Menon,et al.  Brain Tumor Segmentation in MRI images using unsupervised Artificial Bee Colony algorithm and FCM clustering , 2015, 2015 International Conference on Communications and Signal Processing (ICCSP).

[13]  Yuhui Zheng,et al.  Image segmentation by generalized hierarchical fuzzy C-means algorithm , 2015, J. Intell. Fuzzy Syst..

[14]  Muhammad Nurtanzia Sutoyo,et al.  Penerapan Fuzzy C-Means untuk Deteksi Dini Kemampuan Penalaran Matematis , 2016 .

[15]  Sri Hartati,et al.  PENERAPAN FUZZY C-MEANS DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN PENERIMA BANTUAN LANGSUNG MASYARAKAT (BLM) PNPM-MPd(Studi Kasus : PNPM-MPd Kec. Ngadirojo Kab. Pacitan) , 2015 .

[16]  Putu Desiana Wulaning Ayu.  Segmentasi Kepala Janin Pada Citra USG Dalam Ruang Warna RGB dengan Metode Fuzzy C-Means , 2013 .

[17]  Peng Zhang,et al.  Fuzzy c-means clustering identification method of urban road traffic state , 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[18]  Tutik Khotimah,et al.  CLUSTERINGGENDER BERDASARKAN NILAI MAKSIMUM MINIMUNAMPLITUDO SUARA BERBASISFUZZY C-MEANS(FCM) , 2014 .

[19]  Novianti Puspitasari,et al.  Penentuan Prioritas Perbaikan Jalan Menggunakan Fuzzy C-Means : Studi Kasus Perbaikan Jalan Di Kota Samarinda , 2017 .

[20]  G. R. Suresh,et al.  Performance Analysis of Fuzzy C Means Algorithm in Automated Detection of Brain Tumor , 2014, 2014 World Congress on Computing and Communication Technologies.

[21]  Ade Bastian,et al.  Penerapan Algoritma K-Means Clustering Analysis Pada Penyakit Menular Manusia (Studi Kasus Kabupaten Majalengka) , 2018, Jurnal Sistem Informasi.

[22]  Bilal S.A. Santoso,et al.  PERBANDINGAN AKTIVITAS ANTIOKSIDAN ANTARA JUS BUAH MENGKUDU (Morinda citrifolia) DAN JUS RIMPANG TEMULAWAK (Curcuma xanthorrhiza) , 2017 .