Application of SMART Method in Decision Support System to Prioritize Nutrition Intervention in Posyandu
Yuyun Yunengsih | Adhita Arif Setyawan | Falaah Abdussalaam
Discipline: information systems
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.
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Abdimasmuhla Journal, 2(1).
ISSN 3027-9852 (Online)
ISSN 3027-9887 (Print)