Auliyah Imtiyaz Putri Mentari
SEKOLAH VOKASI MANAGEMEN INFORMASI KESEHATAN, Universitas Gadjah Mada, Indonesia

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MACHINE LEARNING FOR PREDICTING COMMUNITY HEALTH RISKS: A CASE STUDY IN PREVENTIVE EPIDEMIOLOGY Asni Hasanuddin; Auliyah Imtiyaz Putri Mentari
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2025): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

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This study aims to analyze the role and effectiveness of machine learning in predicting public health risks, focusing on applications in preventive epidemiology. Using a literature review, this study examines various empirical studies, predictive models, and algorithmic approaches that have been used to detect potential outbreaks and disease risk factors at the community level. The review demonstrates that machine learning has significant potential to support public health systems through its large-scale data analysis capabilities, identification of hidden patterns in epidemiological data, and increased accuracy in predicting disease spread. Furthermore, the integration of machine learning with real-time health data enables faster and more targeted preventive intervention planning. However, the study also identified challenges related to data quality, limited digital infrastructure, and ethical and privacy issues in the use of health data. Based on the literature findings, this study confirms that optimizing the application of machine learning in preventive epidemiology requires synergy between technology development, public health policy, and responsible data governance.
IMPROVING MATERNAL NUTRITION THROUGH COMMUNITY GARDENS AND LOCAL FOOD EMPOWERMENT IN REMOTE AREAS Asni Hasanuddin; Auliyah Imtiyaz Putri Mentari; La Ode Asrianto
JOURNAL OF COMMUNITY DEDICATION Vol. 5 No. 2 (2026): Journal of Community Dedication
Publisher : Adiba Aisha Amira

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This study aims to examine in-depth the role of community gardens and local food empowerment in improving maternal nutritional status in remote areas through a literature review approach. Maternal nutritional issues, particularly in areas with limited access to nutritious food, remain a significant challenge in efforts to improve public health. Through a review of relevant scientific sources, articles, and policy reports, this study highlights how community garden initiatives and the optimization of local food sources can increase the availability, diversity, and consumption of nutritious food for pregnant and breastfeeding women. The study results indicate that community gardens serve not only as an alternative food source but also as a means of nutrition education, strengthening social solidarity, and enhancing community-based food security. Empowering women in local garden management has been shown to strengthen their role as agents of change within families and communities, promoting healthy eating behaviors, and reducing the risk of maternal malnutrition. This study emphasizes the importance of a participatory and locally-based approach to nutrition interventions, particularly in areas facing geographic and economic barriers. Therefore, integrating local health and agricultural policies that support the sustainability of community gardens and access to nutritious food is a key recommendation for strengthening maternal nutritional security in remote areas.