SENTIMENT ANALYSIS ON TIKTOK APPLICATION REVIEWS KANJURUHAN STADIUM TRAGEDY USING THE LEXICON METHOD

Abstract

Tiktok is a Chinese social media network and music video platform launched in September 2016. One example of a video that has become widely circulated and has shocked the world is a video about the riot that occurred at the Kanjuruhan stadium in Malang. This study aims to determine sentiment in the video case of the Malang Kanjuruhan Stadium tragedy using the lexicon method. The lexicon method is a method of classifying sentiment into three classes, namely positive, negative and neutral. This research uses data from the comments column of the tiktok video which was uploaded on October 11 2022 about the Malang kanjuruhan stadium tragedy, out of 524 data lines only 519 data lines were selected after carrying out the text preprocessing stage. This research uses Visual Studio Code software with several additional libraries. The results of this study are negative sentiment with a total of 300 lines of data with a percentage of 57.80%, while positive sentiment is only 96 lines with a percentage of 18.49% and neutral sentiment gets 123 lines of data with a percentage of 23.69%. Keywords : Tiktok, Kanjuruhan, Analysis Sentimen, Lexicon