ANALISIS SENTIMEN TWEET FULL DAY SCHOOL MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE DAN INDOBERTTWEET

Full Day School is a full-day school policy that combines intensive islamic teaching, which was widely discussed in 2015-22017, so that in 2017 the policy was enacted at the suggestion of Mr. Muhadjir Effendy. Because it has an impact on students, including socializing with their environment to the mental and physical readiness of students in understanding the material. The implementation of this policy has drawn pros and cons among the community, causing a lot of criticism on various social media, one of which is on social media Tweeter (X). Therefore, researchers collected data on social media Tweeter (X) in the form of tweets containing feedback form the community. Form the data that has been collected, it will be difficult to understand by machine learning, so it requires other processes such as labelling based on sentiment, data preprocessing, then building a model by Support Vector Machine and the indoBERTTwet model to produce a comparison of accuracy results and factors that influence success or obstacles in analyzing (Error Analysis).