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All Journal Indonesian Journal of Global Health research Babali Nursing Research
Kusumaningtyas, Dwi Prima Hanis
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Education Health Professions Languange, Linguistic, Communication & Media Nursing Public Health

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Journal : Babali Nursing Research

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Virtual Nurse for Detecting Suicide Risk Behaviors in Adolescents Tarigan, Yohanes Zenriano; Kusumaningtyas, Dwi Prima Hanis
Babali Nursing Research Vol. 5 No. 4 (2024): October
Publisher : Babali Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37363/bnr.2024.54435

Abstract

Introduction: Suicide is a complex phenomenon that is intriguing to study because its causes are still not fully understood. This phenomenon often garners media attention, as the number of incidents has significantly increased. Suicidal ideation frequently occurs in teenagers, and many who seek consultation report similar thoughts or engage in self-harm. The approach to problem-solving proposed in this research is the use of a virtual nurse as an early detection service for suicide risk behavior. A Virtual Nurse is an artificial intelligence-based application or system designed to provide health services and psychological support, particularly for teenagers. The Virtual Nurse uses machine learning algorithms to analyze user behavior, speech patterns, and interactions to identify signs of suicide risk. This study aims to analyze the effectiveness of the Virtual Nurse in detecting suicide risk behavior in adolescents. Method: This research utilized a pre-experimental design with a one-shot case study approach. Results: The implementation of the virtual nurse application for the detection of suicide risk behavior in adolescents over four weeks yielded favorable outcomes for 116 students (16%), while 74 students (39%) were categorized as showing poor results and the score for using virtual nurse in detecting suicide risk was 84 points. The result was that virtual nurse were classified as good in detecting suicide risk behavior in adolescents. Conclusion: The virtual nurse is an artificial intelligence-based application or system designed to provide psychological services and support to its users, particularly teenagers.
The Effectiveness of Blended Learning For Undergraduate Nursing Students: A Systematic Review Tarigan, Yohanes Zenriano; Kusumaningtyas, Dwi Prima Hanis; Simanjuntak, Therecia
Babali Nursing Research Vol. 6 No. 2 (2025): April
Publisher : Babali Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37363/bnr.2025.62417

Abstract

Introduction: Implementing conventional and online learning is considered insufficient to balance current educational needs, so blended learning is needed, combining the two learning methods to include more comprehensive learning. This study aims to systematically investigate the literature regarding the effectiveness of blended learning for undergraduate nursing students in Indonesia. Methods: Systematic review by searching articles using CINAHL, PubMed, Science Direct, ProQuest, SINTA, GARUDA, manual search, and electronic search engine "Google Scholar," with full-text article criteria, articles that have been published since Blended Learning was carried out for nursing students using Indonesian and English articles, the keywords used are Nursing student, blended learning, the effectiveness of blended learning. The research design included a Randomized Controlled Trial (RCT) and a Quasi-Experimental Study. Results: A total of 15 research articles, a Randomized Controlled Trial (RCT), A qualitative study, and a Quasi-Experimental Study that met the eligibility criteria, and all showed that blended learning can significantly help nursing student learning, including knowledge, clinical practice skills, learning content and instruction, learning reflection, and learning information media. There are differences in the results found from the use of media and learning materials provided and used. Conclusion: Conclusion: Blended learning can be used as a learning reference because it is considered effective in carrying out the learning process in nursing.
Co-Authors Dewi, Juli Krisna I Ketut Andika Priastana Simanjuntak, Therecia Tarigan, Yohanes Zenriano