The knowledge of Shia history on student and lecturer of Syarif Hidayatullah State Islamic University Jakarta were the data which used in this research, The testing was done by constructing application K-Means Fuzzy C-Means using Java language, Hadoop and Hive and then test the performance of K-Means and Fuzzy C-Means algorithms in data clustering. In this research, Hadoop and Hive were chosen the big data technology. This research goal was to compare the performance of KMeansĪnd Fuzzy C-Means algorithms in clustering data using ig data technology. K-Means Clustering algorithm is a method of partitioning existing data into two or more group. Several clustering methods which are used to group data are Fuzzy C-Means (FCM) and K-Means Clustering. Big data is technology that has the ability to manage very large amounts of data, in very fast time to allow real-time analysis and reactions.
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