Hoar, Wilhelmina Sonya (2023) Analisis Sentimen Terhadap Kebijakan Masuk Sekolah Jam Lima Pagi Di Ntt Menggunakan Algoritma Naïve Bayes. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Education is very important to build a quality young generation that can advance the nation. To improve the quality of education, on February 27, 2023, the government of East Nusa Tenggara implemented a 5am school entry policy. However, this policy has caused pros and cons in the community. People are becoming more active expressing their opinions through social media, seen from the comments appearing on social media, especially Twitter, about the policy. Therefore, it's important to conduct sentiment analysis to know how many positive and negative responses to this policy. Researchers conducted sentiment
analysis using Naïve Bayes algorithm on search results of tweets with the keyword "sekolah jam 5 di NTT " on February 27, 2023 to March 23, 2023. Total 777 tweets were collected, 24 positive sentiment tweets and 753 negative sentiment tweets. The data was then processed and analyzed using the Naïve Bayes algorithm, famous for its simple yet highly accurate calculations in data mining. The accuracy rate is
97%, while precision value is 98% for negative sentiment and 50% for positive sentiment, recall value is 99% for negative sentiment and 25% for positive sentiment. The f1-score value is 99% for negative sentiment and 33% for positive
sentiment

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