It is undeniable that technological progress is developing very quickly in the field of computers, now with computers the work that was originally done by humans can be taken over by computers to help human work itself, like case studi of this research is a system that can classification the text like synopsis into genre group. Genre is the style of story in a novel, there are many genres in the novel that are expected to be romantic, comedy, mystery, horror and others, by knowing the genre of the novel the reader will be able to know the story style of the novel. The method used in this research is TF-IDF (Term Frequency Inverse Document Frequency) and Naïve Bayes Classifier. The TF-IDF method is used to get the weight of each word contained in the resulting document is used in the Naïve Bayes Classifier method to get the synopsis classification results into genre. Based on the evaluation using a confusion matrix using 600 training data and 200 test data obtained an accuracy of 80.5%.AbstractIt is undeniable that technological progress is developing very quickly in the field of computers, now with computers the work that was originally done by humans can be taken over by computers to help human work itself, like case studi of this research is a system that can classification the text like synopsis into genre group. Genre is the style of story in a novel, there are many genres in the novel that are expected to be romantic, comedy, mystery, horror and others, by knowing the genre of the novel the reader will be able to know the story style of the novel. The method used in this research is TF-IDF (Term Frequency Inverse Document Frequency) and Naïve Bayes Classifier. The TF-IDF method is used to get the weight of each word contained in the resulting document is used in the Naïve Bayes Classifier method to get the synopsis classification results into genre. Based on the evaluation using a confusion matrix using 600 training data and 200 test data obtained an accuracy of 80.5%.