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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi Taroa : Jurnal Pengabdian Masyarakat SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Fathir
Universitas Muhammadiyah Bima
Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Other

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Journal : Jurnal Indonesia : Manajemen Informatika dan Komunikasi

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ANALISIS SENTIMEN ARTIKEL BERITA PEMILU BERBASIS METODE KLASIFIKASI Fathir; M. Amin Hariyadi; Yunifa Miftachul A
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.220

Abstract

The distribution of information in the form of online news is so massive in the wider community, that it is difficult to distinguish between haox news and positive news. So that a classification is needed regarding public sentiment about the implementation of elections using mainstream media news article data using 1064 dataset test data. The methods used in this study are the naive Bayes algorithm, the random forest algorithm, and the support vector machine algorithm. The test model uses smote where the performance results are carried out by the algorithm used using smote and not using smote, where random forest produces an accuracy of 91.88%, while without using a smote support vector machine it produces an accuracy of 92.05%.
Co-Authors Khairunnas Khairunnas Lukman Lukman M. Amin Hariyadi M. Fikram Nurfidianty Annafi Randitha Missouri Siti Mutmainah Sutriawan Sutriawan Ulfa Widayati Yunifa Miftachul A Zumhur Alamin