Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Vol. 4 No. 2 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)

ANALISIS SENTIMEN ARTIKEL BERITA PEMILU BERBASIS METODE KLASIFIKASI

Fathir (Universitas Islam Negeri Maulana Malik Ibrahim Malang)
M. Amin Hariyadi (Universitas Islam Negeri Maulana Malik Ibrahim Malang)
Yunifa Miftachul A (Universitas Islam Negeri Maulana Malik Ibrahim Malang)

Article Info

Publish Date
10 May 2023

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%.

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Journal Info
Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Website

Abbrev

jimik

Publisher

STMIK Indonesia Banda Aceh

Subject

Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

Description

Jurnal Indonesia: Manajemen Informatika dan Komunikasi is a scholarly publication dedicated to advancing the fields of information technology and communication management in Indonesia. The journal serves as a platform for researchers, academicians, practitioners, and policymakers to share their ...