Testing SME Methods for Generating Nutrition Maps in Indonesia


The Government of Indonesia has set a target to reduce the prevalence of stunting from 37.2 percent in 2013 (Riskesdas, 2013) to 22 percent by 2022. To achieve this target, the government has launched the National Strategy to Accelerate Stunting Prevention. The National Strategy emphasizes the importance of work ensuring that local governments have accurate information on the malnourished children status is required at the lowest administrative level such as kelurahan or village in order to improve targeting of nutrition interventions. To design a better-targeted intervention, the government needs tools to map of malnourished child status down to the lowest administrative level

The World Bank requires an experienced research institution with Small Area Estimate methodologies to test the application of this method to the production of nutrition maps based on the 2018 and 2013 Riskesdas surveys, the 2010 Population Census, several rounds of the Village Potential Data (PODES) and the annual National Socio-economic Survey (SUSENAS). The firm will be required to use Riskesdas as our main reference for health-related variables due to its comprehensiveness of the collected variables and its representativeness of the districts. It will employ the ELL (Elbers, Lanjouw and Lanjouw, 2002 & 2003) small area estimation to estimate the nutritional status. This results then will be verified by various methods both direct visit to the selected district or indirectly by comparing with the Pemantuan Wilayah Setempat (PWS).


The objective of the assignment is to design and test first phase map of nutritional status of Indonesia using the most current data on six selected districts as the basis for targeting nutrition interventions to priority sub-districts, villages and households. The methodology and the maps will be used as a prototype that the government will then further develop and expand to cover more districts as part of the National Strategy to Accelerate Stunting Prevention. The main objective of the mapping methodology is to help policy makers improve their decision making when implementing stunting related interventions.


The proposed method of the nutrition map development mimics to the small-area estimation (SAE) developed by Elbers, Lanjouw, and Lanjouw (2002, 2003)[1]. The method combines survey data with census data to obtain estimates at a lower level of aggregation (at sub-district and village levels) than the survey allows (at district level).

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Asep Suryahadi
Widjajanti Isdijoso
Team Member 
Asep Suryahadi
Mayang Rizky
Asep Kurniawan
Ridho Al Izzati
Elza Elmira
Maudita Dwi Anbarani
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Project Donor 
World Bank
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