Open AccessCASE BASE REASONING UNTUK MENENTUKAN KEBUTUHAN BAHAN BANGUNAN RUMAH
Author(s) -
Abdul Rozaq
Publication year - 2018
Publication title -
sintech (science and information technology) journal
Language(s) - English
Resource type - Journals
eISSN - 2598-9642
pISSN - 2598-7305
DOI - 10.31598/sintechjournal.v2i1.224
Subject(s) - case based reasoning , computer science , test (biology) , test data , similarity (geometry) , base (topology) , data mining , process (computing) , k nearest neighbors algorithm , artificial intelligence , mathematics , software engineering , paleontology , mathematical analysis , image (mathematics) , biology , operating system
Building materials is an important factor to built a house, to estimate funds the needs of build a house, consumers or developers can estimate the funds needed to build a house. To solve these problems use case base reasoning (CBR) approach, which method is capable of reasoning or solving the problem based on the cases that have been there as a solution to new problems. The system built in this study is a CBR system for determine the needs of house building materials. The consultation process is done by inserting new cases compared to the old case similarity value is then calculated using the nearest neighbor.
The first test by inserting test data then compared with each type of home then obtained an accuracy of 83.6%. The second test is done by K-fold Cross Validation with K = 25 with the number of data 200, the data will be divided into two parts, namely the training data and test data, training data as many as 192 data and test data as many as 8 data. K-Fold Cross Validation method. This CBR system can produce an accuracy of 85.71%