The implementation of K-nearest neighbor algorithm in case-based reasoning model for forming automatic answer identity and searching answer similarity of algorithm case

摘要

Case-Based Reasoning also known as CBR model has been widely used to solve the problem in various cases. This study aims to explain the implementation of K-Nearest Neighbor Algorithm in Case-Based Reasoning model. The research showed that KNN algorithm is suitable to be used in CBR model. The results of this study are to measure the accuracy level of automatic answer identity formation and search the similarity answer in algorithm case. From the test result showed that KNN accuracy score obtained is 0.9 when the value of k=5.