Analisis Sentimen Kenaikan Harga BBM Pertamax Pada Media Sosial Menggunakan Metode Naïve Bayes Classifier

Fuel Oil (BBM) is a very vital commodity. has an important role in people's lives. Because of the importance fuel lives, one basic needs community. The policy increasing price always been phenomenon various media which causes pros and cons society. prices big impact on society, both direct indirect consumption. This study aims to explore public opinion, whether it shows negative or positive sentiment prices. increase Pertamax drawn several opinions from citizens Facebook social media. Sentiment analysis research was conducted determine response comments Brilio.Net accounts 2022 related with dataset 799 data, as well comparison number positive, negative, neutral comments. In addition, this be able level performance generated by nave Bayes classifier method test. author uses 80% comment used training data 20% test machine learning data. Then classified system using orange mining tools so produce percentage much 19%, 22% 59%. testing obtained highest accuracy rate 99% all datasets.