Eksperimen Naïve Bayes Pada Deteksi Berita Hoax Berbahasa Indonesia

Abstract

Website and blog are popular as a media to spread news. The validity of an article of news’s can either be valid or fake. A fake article of news is usually called a hoax news article. The purpose of making hoax news is to persuade, manipulate, affect to people to do something that contradicts or prevents the right action. A hoax news usually used threats or misleading information to make them believe things that are not real. This research proposes an experiment using naïve Bayes to detect hoax news in Bahasa Indonesia. In this research, we use our own dataset consisting of a total of 600 valid and hoax articles. We asked three reviewers to conduct manual classification for our dataset. Final tagging was obtained by adopting the maximum score from the three reviewers. In our experiment, we show that naïve Bayes can classify Indonesian online news articles with term frequency feature using the PHP-ML library component’s. We obtained an accuracy is 82.6% with static testing and 68.33% with dynamic testing. We give free access to the dataset so the future research can replicate, comparing the result and make a baseline testing.Keywords : Hoax News Detection, Naïve Bayes Classifier.

The Hoax of SARA (Tribe, Religion, Race, and Intergroup) as a Threat to the Ideology of Pancasila Resilience

“…11/2008 on ITE. Individually, violation of freedom of speech is regulated in article 27 of the ITE Law (Rahutomo et al, 2019). ITE Law does not eliminate freedom of expression in Article 28 of the 1945 Constitution, but it is an affirmation that the government highly values individual freedom and limits individuals not to disturb the freedom of others at will (Gumelar et al, 2020).…”

Implementasi Single Pass Clustering pada Preprocessing Temu Kembali Koleksi Berita Teks

“…Penelitian di dalam makalah ini melakukan pengembangan eksperimen terkait pemanfaatan pembelajaran mesin pada kasus teks berbahasa Indonesia. Penelitian yang dilakukan peneliti dan tim sebelumnya terkait analisa sentimen [5][6], deteksi hoax [7] [8], klasifikasi lirik lagu [9], klasifikasi review film [10], dan klasifikasi artikel wikipedia [11]. Penelitian ini juga melanjutkan topik penelitian yang dilakukan tim terkait sistem temu kembali informasi yang dilakukan peneliti dan tim [12]…”

The Detection of Indonesian Hoax Content about COVID-19 Vaccine using Naive Bayes Multinomial Method

“…Several methods are often used in hoax news detection research on Twitter, such as the Support Vector Machine method [1]. Another study is Naïve Bayes was researched by Rahutomo et al [2], Backpropagation was researched by Lhaksmana et al [3], Naïve Forecast Method [12] and Prasetyo, Rino [4] studied Modified K-Nearest Neighbor. These methods have been successfully implemented and gained good accuracy.…”

“…Meanwhile, this backpropagation method tends to slow to achieve convergence on receiving optimal accuracy and requires extensive data and optimization training that is used less efficiently. Therefore, it is necessary to improve optimally using other methods so that the results' accuracy is better, faster, and can be compared using only standard Backpropagation solving procedures [6] [2].…”