Analysis of ChatGPT Adoption using the UTAUT Model

Lisa Amelia Galantry, Andeka Rocky Tanaamah

Abstract


In the current digital era with information technology is developing rapidly in various fields. Especially in all human work that requires working quickly with maximum results. many innovations have emerged, one that currently popular is Artificial Intelligence (AI). One of the popular AI currently is ChatGPT, with many of ChatGPT's users, including students. This research contains what factors that influence interest in using ChatGPT, especially among students, with a case study focusing on undergraduate students of Information Systems at Satya Wacana University. The aim is to identify the factors influencing students in using ChatGPT for both learning and daily activities, The Unified Theory of Acceptance and Use of Technology (UTAUT) model is being used in this study. The results of this research show that the acceptance of ChatGPT among Undergraduate Students of Information Systems at Satya Wacana Christian University. Performance expectancy and Facilitating conditions are factors that influence the intention to use ChatGPT. Then there is behavioral intention shows that the intention to use also influences user behavior.

Full Text:

PDF

References


E. I. Supriyadi and D. B. Asih, “Implementasi Artificial Intelligence (AI) di Bidang Administrasi Publik pada Era Revolusi Industri 4.0,” Jurnal RASI, vol. 2, no. 2, pp. 12–22, Jan. 2021, doi: 10.52496/rasi.v2i2.62.

M. Solekhah, “Pemanfaatan Teknologi Artificial Intelligence Cubabot (Culture Balinese Chatbot) sebagai Informasi Kebudayaan Bali,” vol. 1, no. Vol. 1 No. 2 (2023): Kreativitas Pada Pengabdian Masyarakat (Krepa), pp. 90–100, Sep. 2023.

I. Y. Noviadhi et al., “Penerapan Teknologi Artificial Intelligence ChatBots dalam Proses Belajar Mengajar untuk Mata Kuliah Sistem Operasi pada Program Studi Teknik Informatika Universitas Negeri Semarang di Era Industri 4.0 dan Society 5.0,” 2024. [Online]. Available: http://jurnalilmiah.org/journal/index.php/mediasi

F. Y. Wang, Q. Miao, X. Li, X. Wang, and Y. Lin, “What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence,” IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 3. Institute of Electrical and Electronics Engineers Inc., pp. 575–579, Mar. 01, 2023. doi: 10.1109/JAS.2023.123486.

F. M. Mutaqin, Idah Jubaedah, Herry Koestianto, and Dede Indra Setiabudi, “Efektif Artificial Intelligence (AI) dalam Belajar dan Mengajar,” Jurnal Pendidikan, vol. 2, no. https://jurnal.anfa.co.id/index.php/seroja/issue/view/20, Jun. 2022.

C. M. Annur, “Survei: ChatGPT Jadi Aplikasi AI Paling Banyak digunakan di Indonesia,” databoks, Indonesia, Jun. 26, 2023. Accessed: Apr. 17, 2024. [Online]. Available: https://databoks.katadata.co.id/infografik/2023/06/26/survei-chatgpt-jadi-aplikasi-ai-paling-banyak-digunakan-di-indonesia

X. Zhai, “ChatGPT User Experience: Implications for Education,” SSRN Electronic Journal, 2023, doi: 10.2139/ssrn.4312418.

A. Zein, “9 Creative Commons Attribution 4.0 International License Dampak Penggunaan ChatGPT pada Dunia Pendidikan,” JITU: Jurnal Informatika Utama, vol. 1, no. 2, 2023, doi: 10.55903/jitu.v1i2.151.

M. Firat, “How Chat GPT Can Transform Autodidactic Experiences and Open Education?,” Preprint, vol. 2, no. 5, 2023.

Cholifah, R. Dijaya, A. S. Gracia, and U. K. Nisak, “Factors Influencing the Implementation of Electronic Medical Records (Remics) based on Unified Theory of Acceptance and Use of Technology (UTAUT) in Sidoarjo Hospital,” Procedia Of Social Sciences and Humanities, vol. 1, no. c, 2022.

D. Marikyan and S. Papagiannidis, “The Unified Theory of Acceptance and Use of Technology: A review,” TheoryHub Book: Unified Theory of Acceptance and Use of Technology, no. March, 2023.

E. Widanengsih, W. Kurniadi, and H. Destiana, “Adopsi Penggunaan Aplikasi Mobile Food Ordering dengan Pendekatan Model Unified Theory of Acceptance and Use of Technology 2,” Journal of Industrial Engineering & Management Research, vol. 3, no. 1, 2022, doi: 10.7777/jiemar.v2i3.

T. I. Santoso and D. Indrajaya, “Penggunaan SEM-PLS dan Aplikasi SmartPLS untuk Dosen dan Mahasiswa,” Jurnal Pengabdian Masyarakat Akademisi, vol. 2, no. 2, 2023.

S. I. Jarlest Andini Agustinanda, “Analisis Kepuasan Konsumen dengan Uji Deskriptif dan PLS Pada PerusahaanMultifinace,” Jurnal Ekonomi, vol. 25, no. 3, 2020, doi: 10.24912/je.v25i3.688.

C. Tanaka, R. Ginting, and W. Wijaya, Nicholas, Kokman, “Uji Validitas dan Reliabilitas Hasil Survei Perancangan Produk Sinar Infrared Multi-Fungsi,” Talenta Conference Series, vol. 5, no. 2, 2022.

D. L. Kusumaningrini and N. Sudibjo, “The Faktor-Faktor yang Mempengaruhi Motivasi Belajar Siswa di Era Pandemi COVID-19,” Akademika, vol. 10, no. 01, 2021, doi: 10.34005/akademika.v10i01.1271.

H. Akbar and Apollo, “Pengaruh Pemanfaatan Teknologi Informasi dan Pelayanan Fiskus terhadap Tingkat Kepatuhan Wajib Pajak Studi Kasus pada Kantor Pelayanan Pajak Jakarta Palmerah,” Jurnal Ekonomi Manajemen Sistem Informasi, vol. 1, no. 3, 2020, doi: 10.31933/jemsi.v1i3.97.

A. Amos et al., “Analisis Data Penelitian Marketing: Perbandingan Hasil antara Amos, SmartPLS, WarpPLS, dan SPSS Untuk Jumlah Sampel Besar,” Journal of Industrial Engineering & Management Research, vol. 2, no. 4, 2021.




DOI: https://doi.org/10.32520/stmsi.v13i3.4124

Article Metrics

Abstract view : 184 times
PDF - 101 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.