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All Journal Jurnal Informatika dan Teknik Elektro Terapan JIEET (Journal of Information Engineering and Educational Technology) KOMPUTEK Building of Informatics, Technology and Science Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Informatika Terpadu Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa JSE Journal of Science and Engineering
Rudiman, Rudiman
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Transportation Other

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Sentiment Analysis, Classification of Twitter Tweets of the Constitutional Court Decision on Vice Presidential Candidates Using Naïve Bayes Method Nurlita, Nurlita; Rudiman, Rudiman; Hallim, Abd
JSE Journal of Science and Engineering Vol. 3 No. 2 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v3i2.3894

Abstract

The development of information technology has had a significant impact on the acceleration and ease of exchanging information and communication. The emergence of popular social media platforms, such as Twitter, Facebook, Instagram, Youtube in order to explore trending and popular information. Social media has become a reference for the Indonesian people in considering all possibilities that are happening, including public unrest against decision-making that is not in accordance with the norms and ethics within the scope of the constitutional court. Decisions issued by the Constitutional Court (MK) have the potential to trigger significant reactions and debates in society. In this research, we conducted a sentiment analysis on the current issue of the Constitutional Court, where the problem is that many people doubt the decisions taken and many also support the decision so that the virtual world becomes a place for people to express their thoughts about it, especially on the Twitter platform. In expressing their thoughts on the Twitter platform will display Positive, Negative, and Neutral expressions. The method used to see the results of the analysis of the Constitutional Court Decision is the Naïve Bayes method to get accurate results. By using 540 data, the total data of F1 results is the average of precission and recall: AUC of 93.8%, Classification accuracy (CA) of 21.7% Model accuracy of 97.1% Recall of 21.7% F1 score of 14.8%, with a total of 540 data, a total of 10 negative actual data, while 7 positive and 523 neutral. With these results, many people respond to the results of the Constitutional Court's decision Neutral.
Co-Authors Abdul Rahim Abror, Irfan Fiqry Alfawas, Thoriq Ikhwan Ali, Sultan Anggi, Saputra Elfansyah, Muhammad Rayhan Fendy Yulianto Fendy, Fendy Yulianto Fiqri, Mohammad Hiqmal Halim, Andi Nur Hallim, Abd Hidayat, Muhammad Rahman Ihram Nabawi, Ikhsan Nuttakwa Takbirata Ikhsan, Ikhsan Nuttakwa Takbirata Ihram Nabawi Munawaroh, Al Muthmainnah Muthmainnah Naufal Azmi Verdikha Nurlita, Nurlita Nursyarif, Muhammad Khumaidi Ompusunggu, Hermaya Perdana, Muhammad Reifin Poernamawan, Ahmad Nugraha Pranata, Aditya Pranata, Ricky Albin Rahmadani, Rafi Rahman, Febrian Nor Rahmi, Netri Alia Rayhan, Muhammad Rayhan Elfansyah Ridhoi, Reno Sidiq, Rezki Subhan Insani Tagfirul Azima Yoga Siswa, Muspidar Mulyadi Tirta, Muhamad Wahyu Tri Wahyudi Verdikha, Nauval Azmi Widyastuti, Dessy