KOMBINASI METODE CLUSTERING FUZZY C-MEANS DAN WEIGHTED PRODUCT UNTUK SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH

TRIANDANI, AKHMAD RIZKI and Efendi, Rusdi and Yunita, Yunita (2018) KOMBINASI METODE CLUSTERING FUZZY C-MEANS DAN WEIGHTED PRODUCT UNTUK SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH. Undergraduate thesis, Sriwijaya University.

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Abstract

House is one of the important needs for humans, with the increasing number of house alternatives offered, a house selection decision support system is needed. The system built in this study will solve the problem of house selection based on the level of user preference criteria. There are two stages of the process that occur in the system that is built, namely the process of grouping data using Fuzzy CMeans and ranking process using the Weighted Product method. Based on the calculation of index XB it was found that the optimum number of clusters used in this study were 7 clusters and for system accuracy of 90%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Decision Support System, Fuzzy C-Means, Weighted Product, Clustering, MADM, House.
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q223.M517 Science -- Information services. Information storage and retrieval systems --Science.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	26 Sep 2019 03:12
Last Modified:	26 Sep 2019 03:12
URI:	http://repository.unsri.ac.id/id/eprint/8941

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