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This research uses text mining as part of the search for related patterns and documents that have been tested. TF-IDF ensures the weight of each document that can be read and read with Cosine Similarity. Solving these problems involves two mutually supporting algorithms, namely TD-IDF with Cosine Similarity with different tasks.
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The process of these problems is by classifying documents based on abstracts from the publication of scientific papers.
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and placement in groups according to existing topics. The purpose of this study is to classify the suitability of another document so that knowledge is found. The problem in this research is the accumulation of data that is getting bigger and it needs to be analyzed by utilizing text mining by searching for the resources contained in the abstract document and presenting part of the information. Research results will be published in journals both nationally and internationally and one of the websites published by Ristekbirn is Sinta which includes all research works in Indonesia. Research on one of the higher education dharmas is carried out by each lecturer and is a challenge for lecturers who pay attention to produce new and useful findings.