Application of SMART Method in Decision Support System to Prioritize Nutrition Intervention in Posyandu
Year: 2024
Type: article
Abstract: Improving child nutrition is one of the main focuses of posyandu services to prevent long-term health problems such as stunting, malnutrition, and other negative impacts on child development. These nutritional problems, if not addressed immediately, can result in cognitive impairment and reduced quality of life in the future. However, posyandu often faces limited resources in terms of manpower, funding and facilities. Therefore, prioritizing appropriate and effective nutrition interventions is important to ensure optimal utilization of available resources. This study aims to apply the SMART (Simple Multi-Attribute Rating Technique) method in a Decision Support System (SDM) to assist posyandu in prioritizing the most urgent and impactful interventions. In this study, five main criteria were used to evaluate intervention alternatives, namely the severity of malnutrition, the number of children in need of intervention, the availability of posyandu resources, family and community support, and the long-term risk if intervention is not carried out immediately. Based on these criteria, five alternative nutrition interventions were evaluated, including supplementary feeding (PMT), nutrition education programs for parents, regular nutrition monitoring and surveillance, posyandu cadre training, and collaboration with nearby health services. The analysis showed that PMT was the top priority with the highest score, followed by collaboration with nearby health services and regular nutritional monitoring. The application of the SMART method in SDM provides a systematic and data-driven approach, enabling more objective and customized decision-making. The resulting decisions can significantly support the effectiveness of posyandu nutrition programs, to help improve the health and well-being of children in the community.
Source: QCU The Star
DOI: 10.64807/68qd0775
Institution: Quezon City University
Language: English
Topic: Public Health and Nutrition
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4414657902