IMPLEMENTATION OF COMMUNITY-BASED STUNTING REDUCTION POLICY BY THE GOVERNMENT OF SETELUK ATAS VILLAGE, WEST SUMBAWA REGENCY

• Halikin

  Universitas Cordova

  Author

Stunting prevention is crucial for improving the quality of human capital in optimizing the Demographic Bonus. However, previous studies have tended to get stuck on a mechanistic-structural approach and ignore the sociological barriers of grassroots communities. This descriptive qualitative research aims to analyze the dynamics of the convergence of stunting mitigation policies, socio-cultural barriers, and tactical strategies of the Seteluk Atas Village Government, West Sumbawa Regency. Data were collected through in-depth interviews with selected informants through purposive sampling, direct observation, and documentation, which were then tested for validity via triangulation and analyzed using an interactive model. The results of the study showed that the implementation of the policy succeeded in significantly reducing the number of stunting cases from nine children to four children within five months. This success is driven by village bureaucratic reform that converts sectoral programs into integrated convergence movements through the optimization of Village Funds. Despite being faced with cultural resistance related to nutrition education and cross-sector coordination constraints, the village government managed to overcome it through a gender-responsive personal approach involving the role of fathers and incidental home inspections with nutritionists to mitigate environmental factors while filtering out genetic factors. An important conclusion of this study proves theoretically that site-level government institutions effectively act as decomposers of local cultural barriers. In practice, this research provides a blueprint that local food self-sufficiency and proactive participatory supervision are much more decisive for success than just the absorption of administrative budgets. Further studies suggest expanding the research loci comparatively using mixed methods to measure the cost efficiency of the program on a macro level.

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