The Indonesian Government’s targets to reduce the prevalence of child malnutrition are unlikely to be met based on current progress. Adequate dietary intake is key to meeting these targets. This systematic review aimed to provide a comprehensive overview of the nutrient and food intake of Indonesian children under 5 years of age. Peer-reviewed and gray literature published between 2007 and 2019 were collected. Of 1500 records, 38 articles met the study inclusion criteria and a narrative analysis was conducted. Children under 5 years were reported to have ranging energy and macronutrient intakes, some with adequate protein intake. Micronutrient deficiencies, particularly iron, zinc, calcium, and vitamin C, were reported. Animal-source foods, fruits, and vegetables were consumed by children, but frequency and/or volume of consumption was low, and it is among the probable causes of micronutrient deficiency among children under 5 years. The absence of reporting micronutrient intake in the national survey limited evidence to inform nutrition-related policies. The implementation of a national micronutrient survey will be beneficial in informing policy and practice aimed at reducing the prevalence of child malnutrition in line with national targets, through improvement in dietary intake.

Although stunting prevalence and many economic indicators are claimed associating to long-term correlation, the finding of this question might signal the policy arrangement that should be taken. This study aims to examine the correlation of Total Factor Productivity (TFP) growth and stunting prevalence of the 38 districts in East Java, Indonesia from 2017 to 2019. By employing fixed-effect model to estimate TFP growth using Growth Accounting approach, as well as quantitative approach and pairwise correlation, to identify the correlation between TFP growth and stunting prevalence, this study found that there is a negative association between TFP growth and stunting prevalence. Moreover, an intriguing finding reveals that districts with largest Gross Domestic Regional Product (GDRP) shows the strongest correlation amongst others. A plausible reason of this result is that district with large GDRP might allocate more budget for stunting reduction programs, for example the district of Sidoarjo. The negative association between TFP growth and stunting prevalence is then confirmed by statistical results of pairwise correlation from Pearson and Spearman’s Rho that both show significant correlation between those two indicators by larger than 0.3, indicating a non-trivial association between TFP growth and stunting prevalence.