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Abstract

The conflict between Israel and Palestine is now in the global spotlight. Because a number of company products openly donate money and goods to Israel. This has made people angry at Israel and the products that support it, thus calling for a boycott of products supporting Israel on social media. Therefore, researchers conducted sentiment analysis related to the boycott of products supporting Israel from social media X and YouTube using the Naïve Bayes algorithm with its three models, namely Multinomial, Bernoulli, and Gaussian on Indonesian and international citizens. As a result, the international dataset obtained a positive sentiment value of 79.79% with 600 data supporting the boycott, while the negative class obtained 20.21% with 152 data rejecting the boycott. Then the Indonesian dataset has a positive sentiment value of 51.78% with 1312 data supporting the boycott, while in the negative class 48.22% is obtained with 1222 data rejecting the boycott. So, in Indonesia and other countries, the majority of netizens call for a boycott of products supporting Israel through social media platforms X and YouTube. When evaluating the model, the BernoulliNB model obtained the highest accuracy value on both datasets. On the Indonesian dataset, BernoulliNB achieved an accuracy value of up to 89%. Then on the international dataset, it gets an accuracy value of 76%.

Keywords

Sentiment Analysis boycott israel palestine Naive Bayes x youtube Analisis Sentimen boikot israel palestina Naive Bayes x youtube

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How to Cite
Nugroho, A. F., & Avorizano, A. (2025). Analisis Perbedaan Pendapat Warganet Indonesia dan Internasional Terkait Aksi Boikot Produk Pendukung Israel. Jurnal Teknik Informatika Dan Komputer, 4(2), 41–50. https://doi.org/10.22236/jutikom.v4i2.18336
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