Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes

Shin Tae Yong is the coach of the Indonesian national team who has been a football player in South Korea and has coached the South Korean national team at the 2018 World Cup in Russia. Many people watch or pay attention to Shin Tae Yong's behavior and behavior when coaching the Indonesian national team. Shin Tae Yong has considerable worry with the Indonesian national team because of his strategy. However, there are several media that frame Shin Tae Yong's news differently so that differences in viewpoints and opinions on Shin Tae Yong are controversial, inviting many people to give their opinions. Therefore, people choose social media as a place to channel opinions. In this study, we will take tweets from X with search keywords for Shin Tae Yong and the Indonesian national team to process and classify the text using the sentiment analysis method. The text classification process is divided into two classes, namely positive sentiment classes and negative sentiment classes. The data used amounted to 2495 data that had been cleansed, which amounted to 2.348 Positive sentiment data and 147 data with negative sentiments so that they can be presented 98.94% positive and 60.00% negative, based on the classification of the Naïve Bayes algorithm model, using a split comparative data 0.8 : 0.2 With the value of k=3 for Shin Tae Yong's dataset, an accuracy value of 96.67%.

Authors

Publication Details

Journal
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Published
2024-11-10
DOI
https://doi.org/10.35870/jtik.v9i1.3020
Citations
1
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.78
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article

Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes

Tundo Tundo, Frencis Matheos Sarimole, Rasiban Rasiban, P Priyadi Nugraha
1 citations
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Data Mining and Machine Learning Applications
0.78
article

Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes

Tundo Tundo, Frencis Matheos Sarimole, Rasiban Rasiban, P Priyadi Nugraha
article en
1 citations

Abstract

Shin Tae Yong is the coach of the Indonesian national team who has been a football player in South Korea and has coached the South Korean national team at the 2018 World Cup in Russia. Many people watch or pay attention to Shin Tae Yong's behavior and behavior when coaching the Indonesian national team. Shin Tae Yong has considerable worry with the Indonesian national team because of his strategy. However, there are several media that frame Shin Tae Yong's news differently so that differences in viewpoints and opinions on Shin Tae Yong are controversial, inviting many people to give their opinions. Therefore, people choose social media as a place to channel opinions. In this study, we will take tweets from X with search keywords for Shin Tae Yong and the Indonesian national team to process and classify the text using the sentiment analysis method. The text classification process is divided into two classes, namely positive sentiment classes and negative sentiment classes. The data used amounted to 2495 data that had been cleansed, which amounted to 2.348 Positive sentiment data and 147 data with negative sentiments so that they can be presented 98.94% positive and 60.00% negative, based on the classification of the Naïve Bayes algorithm model, using a split comparative data 0.8 : 0.2 With the value of k=3 for Shin Tae Yong's dataset, an accuracy value of 96.67%.

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)Vol. 9(1)
Openalex Percentile: Top 19%
Data Mining and Machine Learning Applications
0.78
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Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes — Tundo Tundo, Frencis Matheos Sarimole, et al. · Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) (2024) | TGRS Research Map | TGRS