PEMETAAN DAERAH BERPOTENSI TRANSMIGRAN DI KECAMATAN KARTASURA DENGAN METODE FUZZY C-MEANS (FCM) CLUSTERING

Mawar Hardiyanti, Yustina Retno Wahyu Utami, Wawan Laksito Yuly Saptomo

Abstract


In an attempt to achieve the well-being of Indonesia, one of the Government's policies that need to be implemented are the deployment and implementation of the transmigration program. In General only a transmigration program offered by the Government to all societies without knowing the economic background and his family so that the transmigration program was not right on target. Based on the background of the problems in this research is how to design, build, develop and implement Fuzzy C-Means Clustering on Regional Mapping System for classifying the area potentially Homesteader in Kartasura. The data obtained by conducting interviews at the population administration of the subdistrict of Kartasura, observation, and study of the literature. In this research, the author uses secondary data. Data obtained from Reports in Kartasura Subdistrict number 2015 by BPS (Statistics Indonesia) Sukoharjo Regency. The results obtained are Fuzzy C-Means method can be applied to a system of mapping the area potentially Homesteader in Kartasura can optimize the work of the Government in the implementation of the resettlement program. Testing the cluster with Center validation methods using MPC alternate data criteria in the period the year 2014 and 2015 which States that 3 clusters are the cluster validation.

Keywords: Classification, Fuzzy C-Means, Transmigration


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References


Sudrajat, “Analisa Potensi Calon Transmigran Sasaran Pengarahan dan Perpindahan,” MGI, vol. 22, no. 19, pp. 125-144, September 2008.

A. K. Wijaya, “Data Mining dengan Algoritma Fuzzy C-Means Studi Kasus Penjualan di UD Subur Baru,” Fasilkom Udinus, pp. 1-8, 2014.

A. H. Setianingrum, “Model Pemetaan Evaluasi Penilaiaan Kualifikasi Lulusan Berbasis Metode Fuzzy C-Means Clustering,” Jurnal Tehnik Informatika, vol. 7, pp. 8-15, Oktober 2014.

Martin J. Bunch, T. Vasantha Kumaran, R. Joseph, “Using Geographic Information System (GIS) For Spatial Planning and Environmental Management India,” International Journal of Applied Science and Technology, vol. 2, pp. 40-54, February 2012.

Yinghua Lu, Tinghuai Ma, Changhong, Xiaoyu Xie, Wei Tian, Shui Ming Zhong, “Implementation Of The Fuzzy C-Means Clustering Algorithm in Meteorology Data,” International Journal of Database Theory and Application, vol. 6, pp. 1-18, 2013.

H. Heeren, Transmigrasi di Indonesia (terjemahan oleh Hans Daeng dan Willie Koen)., Jakarta: PT Gramedia, 1979.

Sri Kusumadewi, Hari Purnomo, Aplikasi Logika Fuzzy Untuk Pendukung Keputusan, Yogyakarta: Graha Ilmu, 2004.

Jun Yan, Micheal dan James Power, Using Fuzzy logic (Toward Intelligent System), New York: Prentice-Hall.

R. Pressman, Software Engineering: A Practitioner’s Approach, 7th ed. Mc Grow Hill, 2010.




DOI: http://dx.doi.org/10.30646/tikomsin.v6i1.347

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