Alfiyani, Lina
Faculty of Health Sciences, Universitas Muhammadiyah Madiun, Madiun

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Food Logistics Preparedness and Community Health Resilience in Flood-Prone Areas: The Role of Individual, Structural, and Environmental Factors Alfiyani, Lina; Kusparlina, Eny Pemilu; Dewi, Lenny Puspita; Maulia, Risma Resty

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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/sf170210

Abstract

Food security and food logistics preparedness are essential components in strengthening community health resilience in flood-prone areas. Recurrent flooding disrupts food distribution systems and increases the risk of malnutrition and environment-related diseases, highlighting the need for evidence-based disaster preparedness strategies. This study aimed to analyze the influence of individual factors (age, sex, and education level), structural factors (food distribution effectiveness, food logistics preparedness, and policy support), and environmental factors (infrastructure and health facilities) on community health resilience in flood-affected areas. A quantitative study with a cross-sectional design was conducted. Data were collected through structured questionnaires administered to community members and stakeholders, as well as document reviews of disaster management and food distribution reports. Community health resilience was directly influenced by age, sex, education level, and the effectiveness of food distribution. In addition, indirect effects were observed from food logistics preparedness, environmental factors, policy support, and the availability of health facilities. In conclusion, community health resilience in flood-prone areas is shaped by the interaction of individual, structural, and environmental factors. Strengthening food logistics systems and policy support is therefore essential to enhance community health resilience during flood disasters.Keywords: flood-prone areas; community health resilience; food logistics preparedness; food distribution effectiveness; policy support
Design and Development of a Geographic Information System for Mapping the Distribution of Non-Communicable Diseases Using the Agile Method Rahmah, Anindita Hasniati; Kawuri, Gabriella Vindy; Alfiyani, Lina; Septiani, Yunita Ayu

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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/sf170211

Abstract

The prevalence of non-communicable diseases (NCDs) continues to increase and poses a significant public health challenge. The impacts include premature mortality and long-term disability. Effective monitoring and spatial analysis are needed to support timely and accurate interventions in managing NCD cases. This study aimed to design and develop a Geographic Information System (GIS) for mapping the distribution of non-communicable diseases using the Agile development method. This study employed the Agile method, which consists of six phases: requirements, design, development, testing, deployment, and review. The research utilized a mixed-method approach, combining quantitative and qualitative data, with secondary data used as the primary data source. The findings indicated a consistent spatial pattern in which heart disease, stroke, and hypertension cases tended to cluster in subdistrict centers or densely populated villages. In contrast, diabetes mellitus cases were more widely distributed across the region, including both central and peripheral rural areas. Hypertension cases were frequently located near heart disease and stroke cases. Most clusters of non-communicable diseases were found around main roads and public service centers, suggesting that residential density and accessibility are associated with the distribution of cases. However, the spread of diabetes into rural areas indicates that non-communicable diseases are not only an urban issue but are increasingly expanding into rural communities. In conclusion, the developed GIS successfully identified spatial patterns of non-communicable disease distribution and can serve as a useful tool to support rapid and accurate public health interventions.Keywords: agile method; geographic information system; mapping; non-communicable diseases; system design