G-Tech : Jurnal Teknologi Terapan
Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024

Deteksi Berita Hoax dengan Perbandingan Website Menggunakan Pendekatan Deep Learning Algoritma BERT

Ripa'i, Asep (Unknown)
Santoso, Firman (Unknown)
Lazim, Farihin (Unknown)

Article Info

Publish Date
05 Jul 2024

Abstract

Hoax news is false and misleading information that can cause provocation and hatred for readers. With easy internet access, the spread of hoax news is getting more massive. Therefore, there needs to be a method that can detect hoax news. The research uses deep learning methods by integrating text mining to find information and news patterns related to hoaxes. By using a dataset from the kaggle site totaling around 2700 then text preprocessing is carried out so that the data is more structured for further processing. Then make feature engineering from BERT so that the data can be processed by machine learning with three classification methods namely BERT, SVM and random forest then testing and evaluation. In this study, the model that produces the highest performance is BERT with (accuracy = 0.99, ROC-AUC = 0.99) compared to traditional machine learning models.

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Journal Info
G-Tech : Jurnal Teknologi Terapan
Website

Abbrev

g-tech

Publisher

Universitas Islam Raden Rahmat Malang

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

Description

Jurnal G-Tech bertujuan untuk mempublikasikan hasil penelitian asli dan review hasil penelitian tentang teknologi dan terapan pada ruang lingkup keteknikan meliputi teknik mesin, teknik elektro, teknik informatika, sistem informasi, agroteknologi, ...