<![CDATA[The Quran covers a variety of sciences so that it serves as a guide to the lives of Muslims. In reading the Qur'an, Muslims must reading the interpretation of each verse in all chapter that has similar meaning, in order to fully define the Qur'an. To make this easier, the study used the Fuzzy C-Means clustering (FCM) and Vector Space Model (VSM) algorithm. The initial process that is text preprocessing to produce the terms so that it can be used in the next process is tf-idf with normalization. Then the clustering process is done using FCM and VSM processes for interpretation search based on queries in the group of verses that have already been formed. In the test, the best value in the FCM algorithm used silhouette coefficient of 0,005146488 for all parameters including the number of clusters which is 2, the smallest error 0.001, the weighting value 2, and the maximum iteration 3. Then for VSM testing using 6 queries tested with precision@k showed that k-rank 7 produced the best precision value of 0.8333. Based on these results, it can be concluded by using FCM and VSM can be used to look for interpretations of Qur'an verses that have similar meanings.]]>
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