KLASIFIKASI KOMENTAR BULLYING PADA KOLOM KOMENTAR STREAMER YOUTUBE

One of the most prevalent social media crimes in this era is cyberbullying. Cyberbullying is a form of intimidation by someone to harass another person by using a technological device. This study uses a design for informed decision making that aims to get the expected results. the data collection process was carried out manually with a time frame of 1 week by watching live broadcasts of online game YouTube streamers and then sorting out some of the bullying and non-bullying comments in the comments column. Data labelling is done manually. The data obtained amounted to 1000 with 500 negative comments and 500 positive comments. The test above can be concluded that from the distribution of the test data there are 90% - 10% have results that are superior to the results of other tests with an increase of 4% in the Naïve Bayes method of weighting Gain Ratio. Based on the test data, the results of precision, recall, F1-score and accuracy of the Naïve Bayes classification method are obtained. The test analysis above can be concluded that from the distribution of the test data there are 90% - 10% having results that are superior to the other test results with a 4% increase in the Gain Ratio weighting Naïve Bayes method. The results of increased accuracy are due to a randomized data processing process.