Stunting Convergence Management Framework through System Integration Based on Regional Service Governance

Author:

Prasetyo AndjarORCID,Noviana Nana,Rosdiana Weni,Anwar M. Arief,Hartiningsih ,Hendrixon ,Harwijayanti Bekti Putri,Fahlevi MochammadORCID

Abstract

The acceleration of stunting reduction in Indonesia is one of the priority agendas in the health sector, its implementation being through various regional and tiered approaches. This paper aims to manage management using an integrated system framework approach at the regional level and to support the acceleration of stunting reduction nationally. It takes a quantitative description approach that uses secondary data sourced from the Directorate General of Regional Development, Ministry of Home Affairs, the Republic of Indonesia in 2019–2021. The locus of papers is in five provinces, North Kalimantan, South Kalimantan, Central Kalimantan, West Kalimantan, and East Kalimantan, Indonesia. The data collection and processing consisted of twenty stunting convergence coverage referring to regulations in Indonesia. The analysis used is an integrated framework based on five dimensions. Management based on an integrated framework in a regional-based system for stunting convergence can be a solution to accelerating stunting reduction. This paper provides an option to accelerate the handling of stunting through the Integration of Service Governance-Based Systems in Districts/Cities, considering the achievements in the last three years that have not been maximally carried out in every district/city in five provinces in Kalimantan, Indonesia. This study explains that the local government needs to socialize and disseminate the commitment to stunting reduction results to reaffirm commitment and encourage all parties to actively contribute to integrated stunting reduction efforts. This paper has limitations in the implementation of dimensions that can develop in a context that is correlated with several perspectives, such as regional planning, budgetary capacity, and regional capacity.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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2. Implementation of Artificial Neural Network (ANN) to Construct Model for Stunting in Toddlers;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21

3. Stunting Management with Exclusive Breastfeeding, Early Breastfeeding Initiation Toddlers at Sei Panas Community Health Center;International Journal of Multidisciplinary Approach Research and Science;2023-09-19

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