Asni Hasanuddin
STIKES IST BUTON PRODI KESEHATAN MASYARAKAT, 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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Abstract

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.
BIG DATA ANALYTICS IN PUBLIC HEALTH SURVEILLANCE: OPPORTUNITIES AND LIMITATIONS Asni Hasanuddin; Auliyah Imyiaz Putri Mentari
INJOSEDU: International Journal of Social and Education Vol. 3 No. 1 (2026): International Journal of Social and Education (INJOSEDU)
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19533480

Abstract

The development of digital technology has encouraged the use of big data analytics in public health, particularly in health surveillance systems. This study aims to comprehensively examine the opportunities and limitations of using big data analytics to improve the effectiveness of public health surveillance through a literature review approach. The method used is a literature review, analyzing various relevant scientific sources, such as international journals, health institution reports, and recent academic publications. The study results indicate that big data analytics has significant potential for improving early outbreak detection, real-time disease monitoring, and more accurate and rapid data-driven decision-making. The integration mixing information from multiple sources, including social media, electronic health records, and Internet of Things (IoT) devices, makes surveillance systems more predictive and responsive. However, a number of restrictions need to be addressed, such as data security and privacy concerns, data quality and interoperability challenges, restricted technological infrastructure, and gaps in human resource capacity. Furthermore, ethical and regulatory challenges also hinder optimal implementation. Therefore, a comprehensive strategy is needed to maximize the benefits of big data analytics while still considering the security, ethics, and sustainability of the health system.
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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Abstract

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.
COMMUNITY-BASED EVALUATION OF PUBLIC HEALTH POLICY IMPLEMENTATION IN RURAL AREAS Asni Hasanuddin; Auliyah Imtiyaz Putri Mentari
JOURNAL OF COMMUNITY DEDICATION Vol. 5 No. 4 (2026): Journal of Community Dedication
Publisher : Adiba Aisha Amira

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19992899

Abstract

This study aims to analyze the implementation of public health policies in rural areas through a community-based approach using a literature review method. The primary focus of the study is to evaluate the extent to which government-designed health policies are effectively implemented at the local community level, as well as the role of communities in supporting or hindering their success. The method used is a systematic literature review of various scientific sources, such as international journals, policy reports, and recent publications from relevant health organizations. The study results indicate that the success of health policy implementation in rural areas is significantly influenced by active community participation, the availability of health resources, the capacity of health workers, and the policy's suitability to local socio-cultural conditions. Furthermore, a community-based approach has been shown to increase the effectiveness of health programs through community empowerment, increased health awareness, and strengthened participatory evaluation mechanisms. However, various challenges remain, such as limited infrastructure, low health literacy, and lack of coordination among stakeholders. This study recommends the importance of integrating community perspectives into every stage of policymaking, from planning to evaluation, to create a more inclusive and sustainable health system in rural areas.