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All Journal LANCAH Jurnal Inovasi dan Tren Jurnal Sistem Informasi dan Aplikasi
Refaldi, Darrel Athaya
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences Other

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Journal : Jurnal Sistem Informasi dan Aplikasi

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ANALISIS KORELASI PEARSON FAKTOR PENGARUH GENERATIVE AI TERHADAP KEMAMPUAN BERPIKIR KRITIS MAHASISWA ITS SURABAYA Refaldi, Darrel Athaya; Faiz, Achmad; Jawakory, Malvin Reynara; Rakhmawati, Nur Aini
Jurnal Sistem Informasi dan Aplikasi (JSIA) Vol 2 No 2 (2024): Jurnal Sistem Informasi dan Aplikasi
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/jsia.v2i2.7974

Abstract

This study aims to determine the effect of using Generative Artificial Intelligence (Gen-AI), specifically ChatGPT, on the critical thinking skills of students at the Sepuluh Nopember Institute of Technology (ITS) Surabaya. The research was conducted by distributing questionnaires to 53 ITS students containing questions about their perceptions of the ease of use, accuracy of answers, negative impacts on academics, and risks that may arise from the use of ChatGPT. The obtained data were then analyzed using Pearson correlation test and K-Means clustering. The results showed that there was no significant relationship between students' perceptions of the accuracy of ChatGPT's answers and its negative impact on academic activities. This means that students' perceptions of ChatGPT's accuracy do not affect their views on the potential negative impacts. K-Means clustering identified three groups of students with different perceptions of ChatGPT. Cluster 0 sees ChatGPT as a useful tool but remains wary of its potential negative impacts. Cluster 1 is unsure about the usefulness of ChatGPT. Cluster 2 is skeptical of ChatGPT's usefulness and more concerned about its negative impact on learning and originality of work. This research provides insight into how students view generative AI technology and can be a basis for further research on the impact of Gen-AI on education.
Co-Authors Faiz, Achmad Jawakory, Malvin Reynara Muhammad Irsyad Fahmi, Muhammad Irsyad Nur Aini Rakhmawati Rachmadi, Mohammad Geresidi Ridwan, Muhammad Ali Husain Sholiq Sidiki, Moehammad Fazle Mawla