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This research to analyze the contribution of variables from three economic policies, with monetary policy through interest rate variables, exchange rates, and money supply in facing economic recession. Where the fiscal policy variable is through tax value. Then macroprudential policy through Non Performing Loan and Capital Adequacy Ratio variables. This study uses secondary data or time series, namely from December 2019 to February 2021. The data analysis model in this study is the Vector Autoregression (VAR) model which is seen from being sharpened with Impulse Response Function (IRF) analysis and Forecast Error Variance Decomposition (FEVD), Panel ARDL, and Different Tests. The results of the IRF analysis show that the stability of the response of all variables is formed in period 8 or the medium and long term, where the response of other variables to changes in one variable shows different variations, both from positive responses to negative responses or vice versa, and there are variables whose responses remain positive or remain negative from the short term to the long term. The results of the FEVD analysis show that for the short-term inflation variable it is influenced by inflation itself and in the medium and long term it is influenced by interest rates. For the JUB variable in the short term it is influenced by JUB itself and in the medium and long term it is influenced by NPL. For the interest rate variable in the short term it is influenced by JUB while in the medium and long term it is influenced by the exchange rate itself and CAR. For the tax variable in the short, medium and long term it is influenced by the tax itself and JUB. For the NPL variable in the short, medium and long term it is influenced by JUB and tax. For the CAR variable in the short, medium and long term it is influenced by JUB and tax. Then the results of the ARDL Panel analysis show that the country that is able to become a leading indicator in controlling the economic recession in the Four of The Group Twenty, namely Turkey, is only done by interest rates. While South Africa is done by interest rates, taxes, NPL, and CAR. For Russia, it is done by all variables, namely the amount of money in circulation, interest rates, exchange rates, taxes, NPL, and CAR. Meanwhile, Indonesia is carried out by exchange rates, taxes, NPL and CAR.

Stunting is defined as the condition of children aged 0 – 59 months, where the height for age is below minus 2 standard deviations (<-2SD) from the WHO median standard. It is further said that stunting will have an impact and is associated with disrupted brain development processes, which in the short term will affect cognitive abilities. The aim of the research is to determine the relationship between knowledge and economic status on the incidence of stunting in the East Tonrokassi Village in the working area of ​​the Tamalatea Community Health Center, Jeneponto Regency. The type of research used is Cross Sectional Study. The sample in this study was all toddlers who experienced stunting in the East Tonrokassi Village in the working area of ​​the Tamalatea Community Health Center, Jeneponto Regency, totaling 31 toddlers using the total sampling technique. The results of the research state that there is a relationship between knowledge and the incidence of stunting (p value = 0.000 < 0.05), there is a relationship between economic status and the incidence of stunting (p value = 0.000 < 0.05). The conclusion is that there is a relationship between knowledge and economic status and the incidence stunting in East Tonrokassi Village in the working area of ​​the Tamalatea Community Health Center, Jeneponto Regency. It is hoped that nutrition officers and cadres can increase posyandu visits and carry out health promotions about stunting to the community