Indonesian Text News Classification Using the Naïve Bayes Algorithm

Information has become a necessity in online social media life, from important things to ordinary things like gossip. The abundance of information that is on the Internet, makes someone enter the virtual world to find the information needed. The information needs are related to the selection of information keyword criteria to be appropriate and appropriate to the information seekers. This information can be in the form of Indonesian text news, but Indonesian text news on the internet is very abundant. So that, when the information seeker wants the news, it is done manually, which is like reading the title that has similarities, and the content of the news, then the information can be stored if it is in accordance with the information seeker's desire. But this method will use a lot of time to get the right information. This study classifies news from the official website of Okezone. The categories discussed are only Finance, Lifestyle, News and Sport. The document used for training data is 8 data which is then changed in the form of txt. The classification method used is naïve bayes classifier.