  Fake news is a problem faced by society in this era. It is not rare for fake
news to cause provocation and problem for the people. Indonesia, as a country
with the 4th largest population, has a problem in dealing with fake news. More
than 30% of rural and urban population are deceived by this fake news problem.
As we have been studying, there is only few literatures on preventing the
spread of fake news in Bahasa Indonesia. So, this research is conducted to
prevent these problems. The dataset used in this research was obtained from a
news portal that identifies fake news, turnbackhoax.id. Using Web Scrapping on
this page, we got 1116 data consisting of valid news and fake news. The dataset
can be accessed at https://github.com/JibranFawaid/turnbackhoax-dataset. This
dataset will be combined with other available datasets. The methods used are
CNN, BiLSTM, Hybrid CNN-BiLSTM, and BERT with Transformer Network. This
research shows that the BERT method with Transformer Network has the best
results with an accuracy of up to 90%.
