PENENTUAN PRIORITAS RUMAH TANGGA MISKIN MENGGUNAKAN FUZZY SUGENO DAN MAMDANI

  • Muhammad Azwan Universitas Maritim Raja Ali Haji
  • Nurfalinda Nurfalinda Universitas Maritim Raja Ali Haji
  • Alena Uperiati Universitas Maritim Raja Ali Haji
Keywords: Data mining, classification poverty status, Sugeno and Mamdani algorithms

Abstract

The classification of time precision graduation for Informatics Engineering Student in Universitas Maritim Raja Ali Haji using Niave Bayes method (case study: Faculty of Engineering majoring in Informatics Engineering), Thesis. Tanjungpinang: Department of Informatics, Faculty of Engineering, Universitas Maritim Raja Ali Haji. Advisor I: Nurfalinda, S.T., M.Cs. Advisor II: Alena Uperiati, S.T., M.Cs.

Sungai Besar Village is a village located in Lingga Regency which has 4 villages. Each resident each has a different income with a different population. In this case the determination of priority is needed to determine the status of life of the residents. Just as the researchers did in this study by using the sugeno and mamdani method in terms of future opportunity analysis based on previous experience, such as the example in this study is looking at the results of determining poor households to be role models for relevant agencies as well as the data used in this study there are 150 population data from Sungai Besar Village that produce an accuracy rate of 84,66% based on 6 variables such as building area, type of floor, type of wall, asset ownership, family income, and number of dependents.

Published
2020-05-11
Section
Teknik Informatika