Tawebin, Fahruk (2025) Sikap, Persepsi Penggunaan Dan Kemanfaatan Adopsi Artificial Intelligence (Ai) Terhadap Pendidikan Keperawatan: Sebuah Studi Cross-Sectional. Undergraduate thesis, Universitas Muhammadiyah Malang.
PENDAHULUAN.pdf
Download (918kB) | Preview
BAB I.pdf
Download (264kB) | Preview
BAB II.pdf
Download (280kB) | Preview
BAB III.pdf
Download (166kB) | Preview
![[thumbnail of BAB IV.pdf]](https://eprints.umm.ac.id/style/images/fileicons/text.png)
BAB IV.pdf
Restricted to Registered users only
Download (279kB) | Request a copy
![[thumbnail of BAB V.pdf]](https://eprints.umm.ac.id/style/images/fileicons/text.png)
BAB V.pdf
Restricted to Registered users only
Download (243kB) | Request a copy
![[thumbnail of BAB VI.pdf]](https://eprints.umm.ac.id/style/images/fileicons/text.png)
BAB VI.pdf
Restricted to Registered users only
Download (172kB) | Request a copy
![[thumbnail of BAB VII.pdf]](https://eprints.umm.ac.id/style/images/fileicons/text.png)
BAB VII.pdf
Restricted to Registered users only
Download (152kB) | Request a copy
![[thumbnail of LAMPIRAN.pdf]](https://eprints.umm.ac.id/style/images/fileicons/text.png)
LAMPIRAN.pdf
Restricted to Registered users only
Download (1MB) | Request a copy
Abstract
Introduction: The use of Artificial Intelligence (AI) in nursing education continues to expand, but
its acceptance is highly dependent on the attitudes and perceptions of students and lecturers. This study
aims to explore how attitudes, perceptions, and perceived benefits influence the acceptance of AI in
nursing education.
Objective: This study analyzes the relationship between attitudes, perceived usefulness, and ease of
use on nursing students' interest in adopting AI in the Nursing Study Program, University of
Muhammadiyah Malang.
Method: A quantitative, cross-sectional approach was used, surveying nursing students from 2021,
2022, and 2023 at University of Muhammadiyah Malang (n = 241) from a total of 605, selected
through stratified random sampling. Data were collected using a questionnaire modified from previous
studies of attitudes, perceived benefits, perceived use, and adoption of AI taken from research (Uly
Erianti Situmorang, 2023), (Elza Lutfia Fiorentina, 2023), (Ichlasul Amal, 2023) then analyzed
the data using descriptive and Pearson analysis.
Results: Most respondents came from the 2022 cohort (42%), in the 4th semester (41%), and most
were female (89%). The analysis showed a significant relationship between AI adoption and attitudes,
perceived benefits, and ease of use (Cronbach's alpha> 0.05).
Conclusion: Most students showed strong attitudes towards AI adoption, but perceived benefits
and ease of use had a lower influence. Further educational efforts are recommended to foster a more
positive perspective on AI adoption.
Item Type: | Thesis (Undergraduate) |
---|---|
Student ID: | 202110420311033 |
Keywords: | Artificial Intelligence (AI), Nursing Education, Attitudes, Perceived Usefulness, Ease of Use, AI Adoption, Nursing Students. |
Subjects: | L Education > L Education (General) Q Science > Q Science (General) T Technology > T Technology (General) |
Divisions: | Faculty of Health Science > Department of Nursing (14201) |
Depositing User: | 202110420311033 fahruktawebin |
Date Deposited: | 07 Feb 2025 06:46 |
Last Modified: | 07 Feb 2025 06:46 |
URI: | https://eprints.umm.ac.id/id/eprint/14627 |