The Implementations of Fuzzy C-Means algorithm in Research Topics Classification in Information Engineering Departement of UIN Sunan Gunung Djati
Deny Fauzy (a*), Muhammad Indra Nurardy Saputra (a), Ridwan Abdul Hakim (a), Popon Dauni (a), Muhammad Deden Firdaus (a)
a) Sunan Gunung Djati State Islamic University Bandung
*fauzydeny[at]uinsgd.ac.id
Abstract
The fast growth and a large number of electronic documents stored in the university library or Department repositories such as thesis, research report, etc., now available in digital version. With automatic process in grouping the thesis title, it can help the policy holder like the head of department. In this case we are using fuzzy c-means algorithm that can classify the data in clusters, so the data in that cluster has a high-level accuracy each other. In the application there is the text mining method which is the developed data mining method that can be applied to solve the thesis or research report classification problem. The result is the web application that can classify the thesis or research report data with 98% accuracy. The result is the given accuracy based on the fuzzy c-means algorithm on the system.
Keywords: Fuzzy C-Means; Cluster; Web Services; Text Mining
Topic: Information Engineering