Comparison of Estimated Number of Stunting Sufferers in Indonesia Using Stratified and Simple Random Sampling

Abstract

Stunting is one of the public health problems that is still high in Indonesia. This problem has a long-term impact on the quality of human resources. Therefore, accurate measurement and estimation of the number of stunting sufferers is very important as a basis for policy making. This study aims to estimate the number of stunting sufferers in Indonesia using two statistical approaches, namely Stratified Random Sampling and Simple Random Sampling. With a population of 510 districts/cities, it is classified into four strata based on the number of stunting cases. Samples were randomly selected and calculated at the estimated point and interval of the estimate. The results showed that the Stratified Random Sampling method provided a smaller estimation variance than Simple Random Sampling. These findings suggest that the stratification approach is more efficient for data with high heterogeneity.