CASE BASE REASONING UNTUK MENENTUKAN KEBUTUHAN BAHAN BANGUNAN RUMAH
Keywords:Supplies building materials, Case base reasoning, KNN, K-Fold Cross Validation
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%
 J. Han, dan M. Kamber. Data Mining Concept and Tehniques. San Fransisco: Morgan Kauffman. ISBN 13: 978-1-55860-901-3. 2006
 T. Hastie, dkk.The Element of Statistical Learning : Data Mining, Inference, and Prediction, Springer Series in Statistic, 2, Springer-Verlag, Inc., New York. 2009
 Kusrini. Strategi Perancangan dan Pengolahan Basis Data, Andi, Yogyakarta. 2007
 S. Mulyana, dan S. Hartati. Model evaluasi pengukuran kesamaan kasus pada penalaran berbasis kasus (Studi kasus : Penentuan jurusan di SMU).Prodi S2/S3 Ilmu Komputer, Universitas Gadjah Mada, Yogyakarta. 2012
 Murad, Azmi MA., dkk. Word Similarity for Document Gouping using Soft Computing. IJCSNS International Journal of Computer Science and Network Security, Vol.7 No.8, August 2007, pp. 20- 27. 2007
 S.K. Pal, dan S.C.K. Shiu, Fondation of Soft Case-Based Reasoning, John Willey and Sons, Inc., New Jersey, 2004
 I.H. Witten dan E. Frank.Data Mining : Practical Machine Learning Tools and Techniques, 2, Morgan Kaufmann Publisher, San Fransisco. 2005
How to Cite
Copyright in each article belongs to the author.
- The authors admit that SINTECH Journal as a publisher who published the first time under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
- Authors can include writing separately, regulate distribution of non-ekskulif of manuscripts that have been published in this journal into another version (eg sent to respository institution author, publication into a book, etc.), by recognizing that the manuscripts have been published for the first time in SINTECH Journal