Analisa Keluarga Miskin dengan Menggunakan Metode Fuzzy C-Means

Wardani, Irma and Fariza, Arna and Kusumaningtyas, Entin (2010) Analisa Keluarga Miskin dengan Menggunakan Metode Fuzzy C-Means. EEPIS Final Project.

Preview

PDF - Published Version Download (435Kb) | Preview

Abstract

There is poor family in Surabaya, especially in Wonocolo. Poor Family status determination method of data involves the number of ART, type of work, Health indicator, Education, Housing and Environment, Economic and Social Culture. The method is used to classify the data into 3 categories of poor families with very poor, poor and near poor. There are indefinite values when classifying the data. To handle that, fuzzy with clustering method is used. With approach of each object to the fuzzy-k (k = 1.2, .., n) is considered to be a member of all clusters (i = 1,2, .., c) with a membership function between 0 and 1. The decision object become member of the cluster based on the largest membership function, then labeled the data based on that. This clustering method well known as Fuzzy C-Means Clustering (FCM).

Actions (login required)