JURIKOM (Jurnal Riset Komputer)
Vol 9, No 2 (2022): April 2022

Deteksi Berita Palsu Menggunakan Metode Random Forest dan Logistic Regression

Nur Ghaniaviyanto Ramadhan (Institut Teknologi Telkom Purwokerto)
Faisal Dharma Adhinata (Institut Teknologi Telkom Purwokerto)
Alon Jala Tirta Segara (Institut Teknologi Telkom Purwokerto)
Diovianto Putra Rakhmadani (Institut Teknologi Telkom Purwokerto)

Article Info

Publish Date
29 Apr 2022

Abstract

Fake news is information that is presented incorrectly or falsely. Of course, if the spread of fake news continues, it can result in wrong knowledge of the information obtained. One of the efforts to prevent the spread of fake news is by detecting whether the news is genuine or fake in order to provide an explanation to the readers of the related news. This study aims to detect fake news using a supervised learning random forest model. The news dataset used contains 6256 rows of titles that have a fake or real class. The dataset first goes through a cleaning, tokenization, and stemming process to break sentences into words. The results obtained using the random forest model of 84%, this result is higher than using the logistic regression model of 77%.

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Journal Info
JURIKOM (Jurnal Riset Komputer)
Website

Abbrev

jurikom

Publisher

Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang ...