SENTIMEN ANALYSIS OF BBM PRICES BASED ON FACEBOOK USER COMMENTS USING THE LEXICON METHOD (CASE STUDY OF THE INDONESIAN VOA PAGE )

Authors

  • Nabialtul Arofah Program Studi Teknik Informatika, Fakultas Sains dan Teknologi Informasi Institut Sains dan Teknologi Nasional
  • Aryo Nur Utomo Program Studi Sistem Informasi, Fakultas Sains dan Teknologi Informasi Institut Sains dan Teknologi Nasional

Abstract

Facebook is a networking site that can be used as a place to give opinions on current issues. One of them is the issue of rising fuel prices in September 2022. Increasing fuel prices has always been a polemic among the people. This study aims to determine the sentiment on the issue using the lexicon method. The lexicon method is a way of classifying sentiment into three classes: negative, positive, and neutral. The results of this study are negative sentiment with a total of 649 lines of data and a percentage of 53.81%, positive sentiment with 344 lines and a percentage of 28.52%, and neutral sentiment with 213 lines and a percentage of 17.7%.  

Keywords: Facebook, BBM, Anslysis Sentiment, Lexicon

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Published

2024-12-26

How to Cite

Arofah, N., & Utomo, A. N. (2024). SENTIMEN ANALYSIS OF BBM PRICES BASED ON FACEBOOK USER COMMENTS USING THE LEXICON METHOD (CASE STUDY OF THE INDONESIAN VOA PAGE ). JURNAL REKAYASA INFORMASI, 13(2), 75–82. Retrieved from https://journal.istn.ac.id/index.php/rekayasainformasi/article/view/2167

Issue

Vol. 13 No. 2 (2024): Jurnal Rekayasa Informasi

Section

Artikel

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