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All Journal Jurnal Skolastik Keperawatan (e-Journal) Creative Information Technology Journal SISFOTENIKA CogITo Smart Journal JURNAL CITRA KEPERAWATAN NERS Jurnal Keperawatan Klabat Journal of Nursing Nutrix Journal Ilomata International Journal of Social Science PAEDAGOGY : Jurnal Ilmu Pendidikan dan Psikologi Prosiding Seminar Nasional Official Statistics Servitium Smart Journal NERS Jurnal Keperawatan (JUPI) Jurnal Pendidikan Indonesia
I Gede Purnawinadi
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : JURNAL CITRA KEPERAWATAN

 1 
Nursing Students' Experience Using Artificial Intelligence In Nursing Care Purnawinadi, I Gede
JURNAL CITRA KEPERAWATAN Vol 13 No 1 (2025): JURNAL CITRA KEPERAWATAN Edisi : June
Publisher : Poltekkes Kemenkes Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31964/jck.v13i1.393

Abstract

The integration of Artificial Intelligence (AI) in nursing education presents both opportunities and challenges, particularly in aligning AI applications with national nursing standards. This study aimed to explore nursing students’ experiences in using AI across the nursing care process, including assessment, diagnosis, intervention, rationale development, implementation, and evaluation, as well as their perceptions of AI's alignment with the 3S books. A descriptive cross-sectional design was employed with a total of 186 nursing students recruited through purposive sampling. Data were collected using a structured questionnaire and analyzed using descriptive statistics. Findings revealed that students most frequently used AI during the assessment and diagnosis phases, while its application was limited in the implementation and evaluation stages. Furthermore, a majority perceived that AI recommendations were only partially aligned with the 3S books. These findings highlight the need for curriculum enhancement, including AI-specific training and the development of AI tools contextualized to local clinical guidelines. Clear policies, faculty readiness, and ethical considerations must be addressed to ensure safe and effective AI integration in nursing education. The study underscores the importance of institutional support in preparing nursing students to utilize AI responsibly and effectively within evidence-based and standardized frameworks.
Co-Authors Andrew Rumegang Andria Wahyudi Christa Vike Lotulung Christasya Laurensia Sembung Darpianto Sampe Payung Ernando Supatman Ferdy Lainsamputty Irene Jessica Lintang Ismasia Nita Veronika Atti Jeine lambani Joe Yuan Mambu Joshua Edward Gerson Kumayas Krisbi Jeri Gabriel Lovely G. Sepang Macawalang, Nadya Natallie Steni Mailoor, Wulan Dea Debora Maisyeliani Angelia Baureh Masambe, Osvaldo Nadine Meflin Jacob Nia Niken Tinungki Norlandha Jacob Novan Aries Tuharea Orah, Keysie Debora Priscillia Merylin Saluy Puteri Irtha Ariani Tahir Raden Bagus Edy Santoso Raden Bagus Edy Santoso Ranti Jesiy Pontoh Renaldy Luntungan Reymon Rotikan Rischa Tandiseru Safira Grace Sondakh Septian Mottoh Sitanggang, Yohanes Binor Stela Salii Suryadi Muhammad Ali Vidya Angeline Babu Vidya Angeline Babu Wagiu, Aguileratasya