MENENTUKAN TINGKAT KEMISKINAN MENGGUNAKAN FUZZY LOGIC

Yoyok Rohani

Sari


Poverty is a situation where there is an inability to meet basic needs such as food, clothing, shelter, education and health. Various development programs organized by the government in an effort to reduce poverty have not managed optimally. Some families are really poor do not get help while the family is considered to be sufficient to get help. This is due to the poor families of data that is not valid because the selection of poor families based appointment system and unofficial estimates. To determine whether a family is included in the category of poor or affluent in this study using fuzzy logic to figure calculations use the Microsoft Excel.

Keyword: fuzzy logic, microsoft excel, poverty


Teks Lengkap:

PDF (English)

Referensi


William Siler, James J. Buckley.2005.Fuzzy Expert System and Fuzzy Reasoning. New Jersey: John Wiley & Sons, Inc.

Kurniawan, Yahya. 2007. Tip dan Trik Microsoft Excel 2007. Jakarta: PT Elex Media Komputindo.

Direktorat Analisis Statistik. 2008. Analisis dan Penghitungan Tingkat Kemiskinan 2008. Jakarta: Badan Pusat Statistik.

Kusumadewi, S. Purnomo, H. 2010. Aplikasi Logika Fuzzy untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu.

Suryabrata, Sumadi. 2013. Metodologi Penelitian. Jakarta: Rajawali Pers. http://www.bps.go.id/menutab.php?ta el=1&id_subyek=23. 31 Juli 2013




DOI: https://doi.org/10.31294/jki.v2i1.1632

DOI (PDF (English)): https://doi.org/10.31294/jki.v2i1.1632.g1189

p-ISSN 2339-1928

e-ISSN 2579-633X



Dipublikasikan oleh LPPM Universitas Bina Sarana Informatika

Kampus Pontianak

Jl. Abdurrahman Saleh No.18 A Pontianak, Kalimantan Barat 78124

Telp : (0561)583924, Fax : (0561) 583934

Email : jurnalkhatulistiwainformatika@bsi.ac.id

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

 

Jurnal Khatulistiwa Informatika Indexed by: