Deteksi Twitter Bot menggunakan Klasifikasi Decision Tree
Advance development of social media application has affected to human lifestyle. Everyone can obtain information from social media easyly. Its become easier to communicate each other using social media. Twitter is one of the fastest growing social media application. Deliver good and hoax information from one user to another. Event there are alot of fake account (bot) in Twitter. This objection of this study is to detect Twitter Bot accounts on Twitter social media by using the Decission Tree classification. Experiment results show the accuracy performance of the Decision Tree model reached 88.84% and UC curve by 0.965. Its shows that the Decision Tree classification is excellent in detecting Twitter Bot accounts.