Term Weighting Based Indexing Class and Indexing Short Document for Indonesian Thesis Title Classification

Document classification nowadays is an easy thing to do because there are the latest methods get maximum results. using term weighting TF-IDF-ICF method has been widely studied. Documents used in this research generally use large documents. If TF-IDF a short text document such as Thesis Title, will not perfect score from Because IDF calculate weight of words that always appear be few, ICF often class few. While word should have great core document. Therefore, study aims conduct on based indexation and indexation, namely TF-IDF-ICF-IDSF. This uses comparison Naïve Bayes SVM. The dataset Title Informatics Education student at Trunojoyo Madura University. test results show TF-IDF-ICF-IDSF outperform other weighting, getting 91% Precision, 93% Recall, 86% F1-Score, 84% Accuracy