Pendekatan Clustering untuk Ekstraksi Pengetahuan pada Pembangunan Sistem Manajemen Pengetahuan
Abstrak: The importance of
knowledge management in any organization encourages the development of a
knowledge management system with features that can facilitate knowledge
management processes such as storing, organizing, filtering, searching, and
most important is the transfer of knowledge. The purpose of this researchis to
develop a knowledge management system with a clustering approach for knowledge
extraction by using a knowledge of publication writing. This study uses
clustering k-means method which is used for cluster knowledge feature where at
the same time can help the process of organizing, filtering, browsing and
searching knowledge. The results of this research showed that the clustering
k-means can be used for knowledge management system with the best value of
purity= 0,8454 which is found by using k = 20. Clustering approach in the
system again can help the process for knowledge searching based on knowledge
cluster. This can be proved by carried out 15 times experiments which result in
average level of accuracy (precision) about 89.13% and the average rate of completeness
(recall)about 85.73 %.
Penulis: Dwinta Rahmallah
Pulukadang, Mustafid, Farikhin
Kode Jurnal: jptinformatikadd150241
