Muhammad Zainal Arifin, Nanna Suryana Herman, Naim Che Pee, Ummi Raba'Ah Hashim, Suyono, Bagaskara Khatulistiwa, Antonius Duty Susilo
News is important information to know what events occur every day among the community. The Internet makes news spread wider and faster. So that it can help people read news anywhere and anytime easily. But there are often many news on internet that are still not categorized according to the news content. Grabbing method will takes news' important information from online media. The news that has been taken will be categorized according to the news content using the text mining method. Word weighting or Term Frequency is one text mining method that can be used to categorize news because this method has high accurate, easy, and efficient results. This is proven by the results of research testing reaching an average accuracy of 95.2%. © 2018 IEEE.
Departement of Electrical Engineering, Universitas Negeri Malang, Malang, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia; Departement of Indonesian Literature, Universitas Negeri Malang, Malang, Indonesia; Informatic Engineering Department, STMIK Pradnya Paramita Malang, Malang, Indonesia
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