EEPIS Repository

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.

[img]
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).

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Mrs Hani Syarifati
    Date Deposited: 15 Apr 2011 21:55
    Last Modified: 15 Apr 2011 21:55
    URI: http://repo.pens.ac.id/id/eprint/423

    Actions (login required)

    View Item