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All Journal Science Midwifery IMPACT: Journal of Community Service
Padhila, Fevi
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Education Environmental Science Health Professions Nursing Public Health Veterinary

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Edukasi Keamanan Pangan pada Peserta Didik SMAN 5 Kota Serang, Banten Muhka, Reni; Selvianita, Defi; Risnadhia; Padhila, Fevi; Feby Nuraeni, Ratu
IMPACT: Journal of Community Service Vol. 2 No. 1 (2026): Februari
Publisher : GEN ID

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Abstract

Food safety is an important issue in maintaining adolescent health, especially for high school students who often consume school snacks without knowing their ingredients or potential health impacts. This community service activity aims to improve the knowledge of students at SMAN 5 Kota Serang regarding the importance of food safety and how to choose healthy and safe snacks. The implementation method involved interactive education through lectures, discussions, and video presentations, using a pre-test and post-test approach to measure changes in knowledge. A total of 75 students participated in this activity. The pre-test results showed that the majority of students had low knowledge of food safety (60.3%), while only 11.5% were in the high category. After the educational intervention, the post-test results indicated a significant improvement, with 40.0% of students falling into the high knowledge category and only 9.3% remaining in the low category.These results demonstrate that the education provided was effective in enhancing students’ understanding of food safety, particularly in identifying the dangers of harmful food additives such as borax, formalin, and textile dyes. It is expected that similar activities can be conducted regularly to foster healthy consumption behavior among students.
Artificial intelligence in cardiac nursing practice: A systematic review of applications, challenges, and patient outcomes Wahananingtyas, Nova Listya; Aprilio, ⁠Rachmad; Risnadhia, Risnadhia; Fiana, Marista; Padhila, Fevi; Azhar, Sabrina Rahmatillah
Science Midwifery Vol 13 No 6 (2026): Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i6.2250

Abstract

Cardiovascular diseases remain the leading cause of global mortality, requiring innovative approaches to improve cardiac care. This systematic review aimed to examine the applications of Artificial Intelligence (AI) in cardiac nursing practice, identify implementation challenges, and assess its impact on patient outcomes. The review was conducted in accordance with PRISMA 2020 guidelines, using PubMed, ScienceDirect, CINAHL, and Web of Science. Original studies published between 2020 and 2025 that explicitly addressed nursing roles in cardiac care were included. Eleven studies met the inclusion criteria and were appraised using the Joanna Briggs Institute (JBI) tools. The results show that AI applications, including ChatGPT and machine learning models, support cardiac nursing through clinical decision support, patient education, risk prediction, and home-based monitoring. These applications were associated with improved nursing efficiency, enhanced patient self-management, early detection of clinical deterioration, and potential reduction in hospitalization. However, challenges such as data accuracy, ethical concerns, algorithm transparency, and limited digital literacy among nurses were consistently reported. In conclusion, AI has strong potential to enhance evidence-based and patient-centered cardiac nursing practice. Successful integration requires ethical governance, adequate training, and interdisciplinary collaboration to ensure safe and effective implementation.
Co-Authors Aprilio, ⁠Rachmad Azhar, Sabrina Rahmatillah Feby Nuraeni, Ratu Fiana, Marista Muhka, Reni Risnadhia Risnadhia, Risnadhia Selvianita, Defi Wahananingtyas, Nova Listya