Adoption of Artificial Intelligence Chatbot Technology in Academic Activities of Jakarta Students: Ease of Use
Keywords:
AI Chatbot, technology adoption, students, education, JakartaAbstract
Artificial Intelligence (AI) Chatbot technology has garnered significant attention recently as an innovative solution for various needs, from learning to counseling. However, its adoption among university students remains a crucial research area. This study aims to understand the usage patterns of university students in Jakarta regarding Chatbot technology, focusing on usage frequency, ease of use, and factors influencing adoption. Conducted from March to May 2024, the research involved 100 students from various Jakarta universities, selected through convenience sampling to capture diverse characteristics. Data collection methods included document studies and questionnaires. The analysis identified the level of Chatbot technology adoption among Jakarta students and the factors influencing it. Results indicate a high frequency of Chatbot use, with perceived usefulness, ease of use, and comfort being the primary drivers of adoption and positive attitudes toward this technology. This study provides significant insights for companies developing Chatbot technology, offering an in-depth understanding of students' preferences and behaviors. These insights can guide companies in creating more effective marketing strategies and enhancing Chatbot design and functionality to be more user-friendly and aligned with user expectations, thereby increasing adoption rates and user satisfaction.
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Afrita, J. (2023). Peran Artificial Intelligence dalam Meningkatkan Efisiensi dan Efektifitas Sistem Pendidikan. COMSERVA: Jurnal Penelitian Dan Pengabdian Masyarakat, 2(12), 3181-3187.
Alhasanah, J. U. (2014). Pengaruh kegunaan, kualitas informasi dan kualitas interaksi layanan web e-commerce terhadap keputusan pembelian online (Survei pada Konsumen www. getscoop. com). Jurnal Administrasi Bisnis (JAB), 15(2).
Amin, N. F., Garancang, S., & Abunawas, K. (2023). Konsep Umum Populasi dan Sampel dalam Penelitian. PILAR, 14(1), 15-31.
Araujo, T. (2018). Living up to the Chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers in Human Behavior, 85, 183–189. doi:10.1016/j.chb.2018.03.051
Bahri, S. (2018). Metodologi Penelitian Bisnis Lengkap Dengan Teknik Pengolahan Data SPSS. Penerbit Andi (Anggota Ikapi). Percetakan Andi Ofsset. Yogyakarta.
Brandtzaeg, P. B., & Følstad, A. (2017). Why people use Chatbot. In Internet Science: INSCI 2017 International Workshops. Springer.
Brodzinsky, D. M., & Palacios, J. E. (2005). Psychological issues in adoption: Research and practice. Praeger Publishers/Greenwood Publishing Group.
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot E-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587–595. doi:10.1016/j.jbusres.2018.10.004
Ciechanowski, L., Przegalinska, A., Magnuski, M., & Gloor, P. (2019). In the Shades of the Uncanny Valley: An Experimental Study of Human–Chatbot Interaction. Future Generation Computer Systems, 92, 539–548. doi:10.1016/j.future.2018.01.055
Curry, D. (2024). ChatGPT Revenue and Usage Statistics (2024). Business of Apps. Diakses dari https://www.businessofapps.com/data/chatgpt-statistics/
Duila, R. A. (2023, November). The Effect of Artificial Intelligence on Productivity and Employment, Literature Review Study. In Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis (Vol. 2, No. 2).
Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt, Brace, Jovanovich.
Ernawati, N., & Noersanti, L. (2020). Pengaruh Persepsi Manfaat, Kemudahan Penggunaan dan Kepercayaan Terhadap Minat Penggunaan Pada Aplikasi OVO. Jurnal Manajemen STEI, 3(2), 27-37.
Følstad, A., & Brandtzaeg, P. B. (2020). Users' experiences with Chatbot: findings from a questionnaire study. Quality and User Experience, 5(1), 3. https://doi.org/10.1007/s41233-020- 00033-2.
Forbes Business Council. (2023, August 30). Harnessing AI for Market Research: Opportunities and Challenges. Forbes.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
Grand View Research. (2023). Artificial intelligence (AI) market size, share & trends analysis report. Diakses 19 April 2024, dari www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market
Hadi, A. S. (2020). Analisis Faktor Kenyamanan Dan Ketergantungan Mahasiswa Pada Smartphone Yang Mengakibatkan Stres. Jurnal Bisnis Darmajaya, 6(2), 37-47.
Hasal, M., Nowaková, J., Ahmed Saghair, K., Abdulla, H., Snášel, V., & Ogiela, L. (2021). Chatbot: Security, privacy, data protection, and social aspects. Concurrency and Computation: Practice and Experience, 33(19). doi:10.1002/cpe.6426
Hwang, G.-J., & Chang, C.-Y. (2021a). A review of opportunities and challenges of Chatbot in education. Interactive Learning Environments, 31(7), 4099–4112. doi:10.1080/10494820.2021.1952615
Iwan, C., Putra, C. K., Zabdi, D., Boy, E. I., Chandra, M. A., & Febrianti, L. Y. (2023). Analisis Pemanfaatan Artificial Intelligence Dalam Membantu Proses Perekrutan Karyawan Perusahaan. Jurnal Sains dan Teknologi, 2(2), 161-168.
McTear, M., Callejas, Z., & Griol, D. (2016). The Conversational Interface: Talking to Smart Devices. Springer.
Nawawi, H., & Martini, M. (2005). Penelitian Terapan. Yogyakarta: Gadjah Mada University Press.
Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbot applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. doi:10.1016/j.caeai.2021.100033
Pérez, J. Q., Daradoumis, T., & Puig, J. M. M. (2020). Rediscovering the use of Chatbot in education: A systematic literature review. Computer Applications in Engineering Education, 28(6), 1549-1565.
Petty, R. E., & Wegener, D. T. (1998). Attitude change: Multiple roles for persuasion variables. In D. Gilbert, S. Fiske, & G. Lindzey (Eds.), The Handbook of Social Psychology (4th ed., Vol. 1, pp. 323–390). New York, NY: McGraw-Hill.
Research and Markets. Global Chatbot Market Size, Share & Trends Analysis Report by End Use (Large Enterprises, Medium Enterprises), by Application, by Type, by Product Landscape, by Vertical, by Region, and Segment Forecasts, 2022–2030.
Rogers, E.M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
Russell, S. J., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach (3rd ed.). Pearson.
Sifaki, E., & Petousi, V. (2020). Contextualizing harm in the framework of research misconduct. findings from a discourse analysis of Scientific Publications. International Journal of Sustainable Development, 23(3/4), 149. doi:10.1504/ijsd.2020.10037655
Stahl, B. C. (2021). Artificial Intelligence for a Better Future. SpringerBriefs in Research and Innovation Governance. doi:10.1007/978-3-030-69978-9
Sugiyono. (2018). Metode Penelitian Kuantitatif, Kualitatif dan Kombinasi (2nd ed.). Bandung, Indonesia: Alfabeta.
Wu, W., Zhang, B., Li, S., & Liu, H. (2022). Exploring factors of the willingness to accept AI-Assisted Learning Environments: An empirical investigation based on the UTAUT model and perceived risk theory. Frontiers in Psychology, 13. doi:10.3389/fpsyg.2022.870777
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Published
2024-08-15
How to Cite
Pandewidinata, F., Jerico Nehemia Sinaga, A. ., Yusuf, K. ., Danuarta Sihombing, R., & Arvinta Monoarfa, T. (2024). Adoption of Artificial Intelligence Chatbot Technology in Academic Activities of Jakarta Students: Ease of Use . International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM), 2(1). Retrieved from https://journal.unj.ac.id/unj/index.php/isc-beam/article/view/46645
