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Engineering Proceedings
Volume 141
Issue 1
10.3390/engproc2026141006
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Proceeding Paper

Sentiment Analysis on Platform X Regarding the Impact of Generative AI †

by
Ronald Sukwadi
1,2,
Riana Magdalena Silitonga
1,*,
Kil Dong A
1,*,
Davin Givson Saptianus
1,
Jason Adrian Gotama
1,
Samuel
1,
Nicholas Evan Gunawan
1 and
Eka Rizqy Mahardika
1
1
Department of Industrial Engineering, Atma Jaya Catholic University of Indonesia, Jakarta 12930, Indonesia
2
Professional Engineer Program, Atma Jaya Catholic University of Indonesia, Jakarta 12930, Indonesia
*
Authors to whom correspondence should be addressed.
†
Presented at the 9th Eurasian Conference on Educational Innovation 2026 (ECEI 2026), Da Nang City, Vietnam, 30 January–2 February 2026.
Eng. Proc. 2026, 141(1), 6; https://doi.org/10.3390/engproc2026141006
Published: 4 June 2026
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Abstract

In the rapidly evolving era, with the advancement of AI technology in education, Chat Generative Pre-trained Transformer (ChatGPT) is widely used in education to help students simplify the learning process. In other words, the implementation of ChatGPT makes the learning process more efficient and relevant. This study was conducted to analyze sentiment from social media platforms such as X to determine the impact of ChatGPT’s use in higher education in Indonesia. The research method involves data collection using the data crawling method for the X platform, which is integrated with the RapidMiner application. This sentiment analysis aims to identify trends in positive, negative, and neutral sentiment towards the use of ChatGPT in higher education in Indonesia and Thailand by using the Naive Bayes Classifier classification method and the Cross-Industry Standard Process for Data Mining method to design, execute, and evaluate data analytics projects. This analysis is expected to provide an initial overview of emerging sentiment trends as well as insights into how ChatGPT is perceived in the higher education environment. Overall, the results of this study provide an overview of public perception regarding the influence of ChatGPT in higher education in Indonesia and serve as a foundation for developing policies related to more responsible AI implementation in the academic environment.
Keywords: AI; sentiment analysis; higher education; data crawling; RapidMiner AI; sentiment analysis; higher education; data crawling; RapidMiner

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MDPI and ACS Style

Sukwadi, R.; Silitonga, R.M.; A, K.D.; Saptianus, D.G.; Gotama, J.A.; Samuel; Gunawan, N.E.; Mahardika, E.R. Sentiment Analysis on Platform X Regarding the Impact of Generative AI. Eng. Proc. 2026, 141, 6. https://doi.org/10.3390/engproc2026141006

AMA Style

Sukwadi R, Silitonga RM, A KD, Saptianus DG, Gotama JA, Samuel, Gunawan NE, Mahardika ER. Sentiment Analysis on Platform X Regarding the Impact of Generative AI. Engineering Proceedings. 2026; 141(1):6. https://doi.org/10.3390/engproc2026141006

Chicago/Turabian Style

Sukwadi, Ronald, Riana Magdalena Silitonga, Kil Dong A, Davin Givson Saptianus, Jason Adrian Gotama, Samuel, Nicholas Evan Gunawan, and Eka Rizqy Mahardika. 2026. "Sentiment Analysis on Platform X Regarding the Impact of Generative AI" Engineering Proceedings 141, no. 1: 6. https://doi.org/10.3390/engproc2026141006

APA Style

Sukwadi, R., Silitonga, R. M., A, K. D., Saptianus, D. G., Gotama, J. A., Samuel, Gunawan, N. E., & Mahardika, E. R. (2026). Sentiment Analysis on Platform X Regarding the Impact of Generative AI. Engineering Proceedings, 141(1), 6. https://doi.org/10.3390/engproc2026141006

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