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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2023.0140236
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 2, 2023.
Abstract: The Criminal Code Bill, also known as Rancangan Kitab Undang-undang Hukum Pidana (RKUHP), passed in the House of Representatives (DPR) on December 6, 2022, is being debated because several issues need to be fixed. Therefore, research was conducted to determine the public's reaction to the ratification of the Criminal Code Bill by analyzing Twitter data. This study aims to obtain a general response to the legalized RKUHP. We use sentiment analysis, a text-processing method, to get data from the public. To do this, we used N-grams (unigrams, bigrams, and trigrams) along with three algorithms: Naïve Bayes, Classification and Regression Tree (CART), and Support Vector Machine (SVM). The result of sentiment analysis found that 51% of tweets were positive about the ratification of the RKUHP, and 49% were negative. In addition, it was also found that SVM has the best accuracy compared to other algorithms, with an accuracy value of 0.81 on the unigram combination.
Deny Irawan, Dana Indra Sensuse, Prasetyo Adi Wibowo Putro and Aji Prasetyo, “Public Response to the Legalization of The Criminal Code Bill with Twitter Data Sentiment Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 14(2), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140236
@article{Irawan2023,
title = {Public Response to the Legalization of The Criminal Code Bill with Twitter Data Sentiment Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140236},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140236},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {2},
author = {Deny Irawan and Dana Indra Sensuse and Prasetyo Adi Wibowo Putro and Aji Prasetyo}
}