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All Journal Journal of Computer System and Informatics (JoSYC)
Muhammad Rajih Abiyyu Musa
Telkom University, Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Radicalism Speech Detection in Indonesia on Twitter Using Backpropagation Neural Network Method Muhammad Rajih Abiyyu Musa; Yuliant Sibaroni
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2146

Abstract

In this modern era, many people use social media easily and freely. One of the social media used is Twitter. The reason people use Twitter is that they can express their opinion freely. However, this freedom does not always have a positive impact on other Twitter users. One of the negative impacts for users is that they can spread radical content. Therefore, this research aims to detect whether a tweet contains radical elements or not using the backpropagation neural network method. The process is carried out by taking data on Twitter, after which the preprocessing process is carried out. Then the data is processed using imbalanced handling, where the data is divided into oversampling and undersampling data. After the data is divided, the next process is to do stopword and then look for accuracy by comparing different epoch values, namely 100, 150, 200, and 250. The best epoch value obtained is 200, with a final accuracy result of 86%.
Co-Authors Yuliant Sibaroni