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All Journal Manuju : Malahayati Nursing Journal JIM ( Journal International Multidiciplinary) GEMASSIKA: Jurnal Pengabdian kepada Masyarakat Protein: Jurnal Ilmu Keperawatan dan Kebidanan International Journal Of Public Health International Journal of Health and Medicine Jurnal Ilmiah Kesehatan Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Green Health: Journal of Health Sciences, Nursing and Nutrition
Fibrinika Tuta Setiani
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Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Evaluating the Role of AI-Driven Nutritional Monitoring Systems in Hospitals to Promote Green Healthcare and Reduce Food Waste Fibrinika Tuta Setiani; Farihah Indriani; hassan A. Abdou
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 2 No. 1 (2025): Green Health: International Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v2i1.257

Abstract

This study evaluates the impact of an AI-driven nutritional monitoring system in hospital settings, focusing on its effectiveness in reducing food waste and improving the accuracy of dietary assessments. Traditional food waste management and nutritional tracking methods in hospitals often suffer from inefficiencies, inaccuracies, and time constraints. In contrast, the AI-based system utilizes advanced technologies, including 3D scanners, digital scales, and image recognition, to optimize food production, minimize waste, and provide more accurate and timely nutritional assessments. The results of this study show a 31% reduction in food waste and a 40% improvement in the accuracy of nutritional assessments after implementing the AI system. This system enhances meal planning, portion control, and real-time tracking of food intake, offering personalized recommendations based on patient needs. The AI system also streamlines the nutritional assessment process, reducing labor-intensive procedures and providing real-time feedback to clinicians, which helps improve patient care and reduce errors associated with traditional methods. Furthermore, the environmental and financial implications of adopting AI technologies in healthcare are significant. The reduction in food waste not only helps lower hospital costs but also contributes to sustainability goals by reducing resource consumption, including water, land, and energy. This study underscores the potential of AI-driven systems to improve healthcare operations, support sustainability, and enhance patient outcomes. Future research should focus on expanding the application of AI in other healthcare sectors and further exploring its integration with other technologies for comprehensive healthcare solutions.
THE EFFECT OF REPRODUCTIVE HEALTH EDUCATION ON ADOLESCENT GIRLS AS A MEASURE TO PREVENT ADOLESCENT SEXUAL BEHAVIOR Farihah Indriani; Fibrinika Tuta setiani; kurniawan, anang; Sinta Anggariyanti
JIM - Journal International Multidisciplinary Vol. 3 No. 2 (2025)
Publisher : Rumah Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jim.v3i2.1915

Abstract

Abstract Reproductive health is a state of complete physical, mental, and social well- being, not merely the absence of disease or infirmity, but also encompasses all aspects related to the reproductive system, its functions, and processes. Adolescence is a period in which an individual develops from the first time they show signs of secondary sexual characteristics until they reach sexual maturity. The research was conducted at SMK X Banyumas. This type of research used a quasi-experimental method with a one-group pretest-posttest design. The population in this study consisted of 72 adolescent girls. The sampling technique used in this study was random sampling. Based on the results of the bivariate analysis using a paired T-test with a sample size of 35 respondents (N=35), the data shows that T-Calculated (23.854) > T-table (0.462) and the p-Value (0.000) < alpha value (0.05), which means that based on the hypothesis that Ha is accepted and Ho is rejected, it can be concluded that there is a difference in the sexual behavior of respondents before and after being given health education about the reproductive system at SMK X Banyumas.
Co-Authors Anang Kurniawan Anisa Ell Raharyani Bella Citra Hendar Uswatun Khasanah Candra Dewi Rahayu Daniel Happy Putra Dewi Candra Resmi Farihah Indriani Habibah Naylil Muna hassan A. Abdou Heni Lestari Heny Lestari Ika Purnamasari Kurniawan, Anang Lusiana Lusiana Mustajab, Abdullah Azam Nazila Nugraheni Nur Alfiah romdiyah Romdiyah Romdiyah setiani , fibrinika tuta Sinta Anggariyanti Tiara Wardani Wahyu Handayani Wily Pramono