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All Journal Jurnal Ilmu Sosial Politik dan Humaniora (Jisora) Software Development Digital Business Intelligence and Computer Engineering Jurnal Inovasi dan Teknologi Pendidikan Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Aulia, Fatwa
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Analysis of Indonesian Netizen Sentiment Towards the Government's Campaign on the Use of Artificial Intelligence Using the Naive Bayes Algorithm Nasution, Salsabila; Berutu, Asro Hayati; Aulia, Fatwa
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.28

Abstract

The development of artificial intelligence (AI) has encouraged the Indonesian government to adopt this technology in various public service sectors. However, the use of AI has received mixed responses from the public, particularly on social media. This study aims to analyze Indonesian netizen sentiment towards the government's AI campaign using the Naive Bayes algorithm. Data was collected from the Twitter platform and analyzed through preprocessing, sentiment classification, and model evaluation. The results show that the majority of netizen sentiment is negative, with concerns related to unfairness for creative workers, a lack of regulation, and the use of AI for political gain. This research is expected to provide input for the government in designing more ethical and inclusive AI adoption policies.
Co-Authors Aisya, Luthfia Rihadatul Amelia, Surya Anjab Munjaji, Muhammad Annisa, Fadya Arum Andary Ratri Berutu, Asro Hayati Dianni Yusuf Heryadi, Yadi Nabila, Shivaun Nasution, Salsabila Subhi, Muhammad Rifa’i Sulistiawati, Siti Wahyu M., Dinda Rahmah