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All Journal JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi
Salsa Bella Putri
Universitas PGRI Yogyakarta
Computer Science & IT Other

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Analisis Sentimen Film Kuliah Kerja Nyata (Kkn) Di Desa Penari Menggunakan Metode Naive Bayes Salsa Bella Putri; Yonawati Nur Anisa; Nurirwan Saputra
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 5 No. 2 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v5i2.704

Abstract

The film of Kuliah Kerja Nyata (KKN) in the Dancing Village which is being discussed among the Indonesian people is a film based on a novel by a simpleman entitled "KKN in the Dancing Village". The film tells the story of a group of students who are carrying out their KKN activities in a village in East Java where in that village there are still prohibitions that must not be violated by a group of students which caused the death of two students who were carrying out KKN in that village. Thanks to the broadcast, which is being widely discussed, it has formed positive and negative responses from the community towards this KKN film in Dancer Village. So this study aims to analyze the test results of 550 training data using the Naïve Bayes classification method taken from Instagram posts that have positive comments (105), negative (43), neutral (288), very positive (37) and very negative (36). This sentiment analysis produces an accuracy value of 60.7073%.
Co-Authors Nurirwan Saputra Yonawati Nur Anisa