Publication Search

A literature review on the implementation and evaluation of Convergence Action to Reduce Stunting in Indonesia was conducted as a comprehensive study to understand national patterns, challenges, and factors determining the success of the program. This study aims to examine the effectiveness of cross-sectoral interventions, identify structural barriers, and formulate strategic recommendations for strengthening stunting reduction governance. The method used was a Systematic Literature Review (SLR) with the PRISMA 2020 model, utilizing Crossref and Google Scholar sources through the Publish or Perish application. Of the articles found, only nine studies met the inclusion criteria and were analyzed using a thematic approach based on the CIPP framework. The SLR results showed that in terms of context, government regulations and commitment were strong, but there were geographical disparities, poor sanitation, and low nutrition literacy that affected program outcomes. In terms of inputs, limitations in nutrition human resources, facilities, funding, and the quality of e-PPGBM data were the main obstacles. In terms of process, the implementation of the 8 Convergence Actions has been carried out but remains partial, with suboptimal integration between OPDs and monitoring that has not yet produced adequate feedback. In terms of output, service coverage has increased, but the decline in stunting rates has been inconsistent across regions. The research results emphasize the importance of strengthening human resource capacity, data integration, cross-sectoral coordination, and adapting programs based on local contexts to ensure the accelerated and sustainable reduction of stunting.

This study examines the influence of income inequality and poverty on the prevalence of stunting in ten provinces across Sumatra Island during the 2016–2024 period. Using a panel dataset of 90 observations and applying a Fixed Effect Model, the results indicate that both income inequality—measured by the Gini Ratio—and poverty have a positive and significant effect on stunting. The Gini Ratio shows a coefficient of 1.46 (p = 0.0002), while poverty records a coefficient of 6.28 (p = 0.0140), jointly explaining 52% of the variation in stunting prevalence. Spatial analysis further supports these findings, with Moran’s I values exceeding 0.40, suggesting strong spatial autocorrelation and clustering of high-stunting regions. High-risk clusters—Aceh, Jambi, and Bengkulu—are characterized by Gini Ratios above 0.33 and poverty levels exceeding 12%, reinforcing the existence of an intergenerational poverty–stunting trap, particularly influenced by urban–rural disparities (rural 53.3% vs urban 34.9%). The study highlights that specific nutrition interventions such as supplementary feeding, micronutrient programs, and breastfeeding promotion are insufficient without accompanying structural reforms addressing economic inequality. Therefore, multisectoral convergence strategies are required, including expanded conditional cash transfers, progressive local taxation reforms, nutrition-focused social assistance, and universal basic infrastructure to accelerate stunting reduction toward the 14.2% target by 2029.

This study aims to analyze the effectiveness of the convergence of intervention programs to accelerate the reduction of stunting at the family level in Serang District, Banten Province. Analytic quantitative design and interviews, with a sample of 150 respondents. Data collection technique with systematic random sampling. Data collection with secondary data, interviews and filling out questionnaires. There were 9 people (6 percent) inaccurate identification of families at risk of stunting (KRS) in the TPPS documents and verification by researchers. Inaccurate identification of families at risk of stunting who were included in the target of the intervention program between the TPPS documents and the researcher's verification was 8 people (5.3 percent). There were 5 people (3.3 percent) inaccurate identification of stunting-risk families who received intervention programs between TPPS documents and researcher verification. Recording and reporting of interventions is not optimal. There is a gap in the convergence of intervention programs due to several factors, namely inadequate quality of human resources, unstable internet network during data collection, limited time for orientation or training so that it is still conceptual, there are still residents who do not have a family card, lack of budget, non-compliant respondents take blood tablets. Not all of the effectiveness of the convergence of intervention programs has conformity in the documents at TPPS and researcher verification.