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Ferdi Kuswandi
Universitas Insan Pembangunan Indonesia
Computer Science & IT

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Analysis of Indonesian Public Sentiment towards the Cities of Jakarta, Surabaya and Medan Using the Naïve Bayes Algorithm Andi Rukmana; Ferdi Kuswandi; Adi Yanto
Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Vol 12, No 1 (2024): Juni 2024
Publisher : Universitas Insan Pembangunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v12i1.284

Abstract

The theory of sentiment analysis is interesting to research, this theory aims to group the polarity of a text in a sentence, feature/aspect, or document and then determine whether the opinion contained in the sentence, feature/aspect, or document has positive or negative sentiment. . Sentiment analysis helps in understanding how people respond to certain issues related to these cities (Jakarta, Surabaya, Medan). This research uses the Naïve Bayes algorithm by conducting sentiment analysis on cities such as Jakarta, Surabaya and Medan, we can gain valuable insights to support better decision making in various aspects of city development and management. The results of this research provide an accuracy value of 77% for the city of Jakarta, 76% for the city of Surabaya, 75% for the city of Medan. These results also show that the Naïve Bayes model has quite good performance in carrying out sentiment analysis. Keywords: Indonesia, Sentimen, Naïve Bayes, Twitter 
Co-Authors ADI YANTO Andi Rukmana