Abstract
This study demonstrates the impact of the summary on document classification. The document used is 100 background thesis problems, formatted. txt. Each document will be through preprocessing (case folding, splitting sentence, splitting word, filtering, stop word removal and TF-IDF). Then the document is summarized using the method of extraction. Then all the documents are classified using the FKNNC method. The results of this study were obtained by compiling the classification process to be faster ie for 5 minutes, this is due to the reduced extraction features used. Therefore, the summary can be used to reduce the features in the classification.
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