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

NOVIANTI PUSPITASARI, Joan Angelina Widians, Pohny Pohny

Abstract

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

References

Sari, H. L., and Suranti, D., 2016, "Perbandingan Algoritma Fuzzy C-Means (FCM) Dan Algoritma Mixture Dalam Penclusteran Data Curah Hujan Kota Bengkulu," Seminar Nasional Aplikasi Teknologi Informasi (SNATI).

Ramadhani, A., Farmadi, A., and Budiman, I., 2015, "Clustering Data Cuaca Untuk Pengenalan Pola Perioditas Iklim Wilayah Pelaihari Dengan Metode Fuzzy C-Means," Jurnal Teknologi dan Industri (Diskontinu), 3(1), pp. 57-64.

Menon, N., and Ramakrishnan, R., 2015, "Brain Tumor Segmentation in MRI images using unsupervised Artificial Bee Colony algorithm and FCM clustering," Communications and Signal Processing (ICCSP), 2015 International Conference on, IEEE, pp. 0006-0009.

Preetha, R., and Suresh, G., 2014, "Performance analysis of fuzzy c means algorithm in automated detection of brain tumor," Computing and Communication Technologies (WCCCT), 2014 World Congress on, IEEE, pp. 30-33.

Ayu, P. D. W., 2013, "Segmentasi Kepala janin Pada Citra USG Dalam Ruang Warna RGB dengan Metode Fuzzy C-Means," PROSIDING CSGTEIS 2013.

Zhang, Z., and Gu, B., 2016, "Intrusion Detection Network Based on Fuzzy C-Means and Particle Swarm Optimization," Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation, Springer, pp. 111-119.

Rustempasic, I., and Can, M., 2013, "Diagnosis of parkinson’s disease using fuzzy c-means clustering and pattern recognition," Southeast Europe Journal of Soft Computing, 2(1).

Ansari, A., and Riasi, A., 2016, "Customer clustering using a combination of fuzzy c-means and genetic algorithms," International Journal of Business and Management, 11(7), p. 59.

Zheng, Y., Jeon, B., Xu, D., Wu, Q., and Zhang, H., 2015, "Image segmentation by generalized hierarchical fuzzy C-means algorithm," Journal of Intelligent & Fuzzy Systems, 28(2), pp. 961-973.

Zhu, G., Chen, J., and Zhang, P., 2015, "Fuzzy c-means clustering identification method of urban road traffic state," Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on, IEEE, pp. 302-307.

Puspitasari, N., Rosmasari, R., and Stefanie, S., 2017, "Penentuan Prioritas Perbaikan Jalan Menggunakan Fuzzy C-Means: Studi Kasus Perbaikan Jalan Di Kota Samarinda," Jurnal Teknologi dan Sistem Komputer, 5(1), pp. 7-14.

Munandar, T. A., and Widyarto, W. O., 2013, "Clustering Data Nilai Mahasiswa untuk Pengelompokan Konsentrasi Jurusan Menggunakan Fuzzy Cluster Means," Seminar Nasional Aplikasi Teknologi Informasi (SNATI).

Rusdiana, L., 2016, "Aplikasi Berbasis Fuzzy C-Means Dalam Penentuan Predikat Kelulusan Mahasiswa," Jurnal Ilmu Komputer, 2(2), pp. 1-9.

Putra, R. J. E., Nasution, N., and Yummastian, Y., 2015, "Aplikasi E-Zakat Penerimaan dan Penyaluran Menggunakan Fuzzy C-Means (Studi Kasus: LAZISMU Pekanbaru)," DIGITAL ZONE: JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI, 6(2).

Andriyani, T. M., Linawati, L., and Setiawan, A., 2013, "Penerapan Algoritma Fuzzy C-Means (Fcm) Pada Penentuan Lokasi Pendirian Loket Pembayaran Air PDAM Salatiga," Prosiding Seminar Nasional Sains dan Pendidikan Sains VIII, Fakultas Sains dan Matematika Universitas Kristen Satya Wacana, Salatiga.

Ahmadi, A., and Hartati, S., 2015, "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)," Berkala Ilmiah MIPA, 23(3).

Mariati, D., 2013, "Potensi Isolat Actinomycetes dari Rizosfer Padi (Oryza sativa L.) Sebagai Penghasil Antibiotik," Universitas Muhammadiyah Surakarta.

Radji, M., 2011, "Buku ajar mikrobiologi panduan mahasiswa farmasi dan kedokteran," Jakarta: Penerbit Buku Kedokteran EGC, pp. 11-19.

Santoso, B. S., 2017, "PERBANDINGAN AKTIVITAS ANTIOKSIDAN ANTARA JUS BUAH MENGKUDU (Morinda citrifolia) DAN JUS RIMPANG TEMULAWAK (Curcuma xanthorrhiza)," PHARMACON, 6(3).

Irsalina, I., Supriyati, E., and Khotimah, T., 2014, "Clustering Gender Berdasarkan Nilai Maksimum Minimum Amplitudo Suara Berbasis Fuzzy C-Means (FCM)," Prosiding SNATIF, 1, pp. 419-424.

Sutoyo, M. N., and Sumpala, A. T., 2016, "Penerapan Fuzzy C-Means untuk Deteksi Dini Kemampuan Penalaran Matematis," Scientific Journal of Informatics, 2(2), pp. 129-135.

Article Metrics

Abstract view : 93 times
PDF (Bahasa Indonesia) - 0 times

Refbacks

  • There are currently no refbacks.