This research aims to analyze the effectiveness of the mixed economic model in controlling financial system stability in 7 emerging market countries. Where the monetary policy variables are the money supply and interest rates. Then the microprudential variables are Return On Equity and Return On Assets, the macroprudential variables are Capital Adequacy Ratio and Non Performing Loans. The financial system stability variables are the inflation level and exchange rate. The data analysis model in this research is the Simultaneous model. This research uses secondary data or time series, namely from 2019 to 2023. This analysis is significant for controlling the financial system by ensuring the data meets normality assumptions through the Jarque-Bera test, which allows for more precise financial planning and risk management decisions. The absence of autocorrelation effects, as proven in the residual test, also strengthens the reliability of the model in understanding market trends. The Two-Stage Least Squares method in simultaneous regression analysis provides in-depth insight into the relationship between economic variables such as the inflation rate and the exchange rate, supporting effective economic policy making. Understanding the elasticity of key variables to the inflation rate and exchange rate is also important for optimizing risk control strategies and financial resource allocation.

Destination study that is for the role of brand image in mediate amenity to satisfaction tourists in Bukit Lawang . Method analysis by year first in study this use approach SEM (Structural Equation Modelling) . Research results show that 1) By straight a minute have influence positive and significant to brand image on Bukit Lawang . 2) In straight a minute have influence positive and significant to tourist satisfaction at Bukit Lawang . 3) In no direct brand image has role significant in mediate a minute to tourist satisfaction at Bukit Lawang .
 

Destination from study this that is for test variable Interest Rates, Inflation , Total Money Supply and GDP how much big in take effect to EXCHANGE variable . And for knowing is panel level _ ethnic group interest , inflation , money supply , unemployment , investment , and GDP have an effect positive and significant to exchange rates in America, Australia, China, Canada , Indonesia, Japan , South Korea, Malaysia, Singapore, Russia and Thailand. Approach study this is study associative / quantitative with the Simultaneous model and the ARDL Panel where aim see linkages Among independent variables and dependent variables that spread panel in Top Major Exchange Rate countries in 11 APEC Countries. Study this conducted against 11 countries with exchange rate strongest in the APEC countries in the world (America, Australia, Malaysia, Singapore, South Korea, Japan , China, Indonesia, Canada , Russia , and Thailand). The ARDL Panel Analysis results show that the Leading Model Control indicators Exchange Rate System Through the Post -Covid-19 Open Economy Model, the Top Major Exchange Rates in Eleven Apec Countries (Varies) are JUB and GDP. this _ due to the results data processing , the ROE variable is variable that gives stable influence , ie _ effect on the inside period long nor period short in give influence significant to score exchange , which is assessed from level short run and long run stability in the table result .
 

The research objective was to determine the effect of the quality of fertilizer, technology and capital on the productivity of the people in Tunas Harapan Village, Gunung Meriah District, Aceh Singkil Regency. The population in this study was the community in Tunas Harapan Village, Gunung Meriah District, Aceh Singkil Regency, totaling 198 people, then the determination technique was purposive random sampling. The data collection technique used a questionnaire with a Likert measurement scale. The results of multiple regression analysis are Y = 7.772 + 0.257X1 + 0.1932 + 0.348X3 + e which shows the quality of fertilizer, technology and capital have a positive and significant effect on the productivity of the people. While the results of the test (t) or partial test show that the quality of fertilizer has a positive and significant effect on community productivity where it can be seen that the value of t count = 2.359 > t table 2.034, the technology variable has a positive and significant effect on community productivity where it can be seen that the value of t count = 2.137 > t table 2.034, and capital also has a positive and significant effect on the productivity of the people where it can be seen that the value of t count = 2.533 > t table 2.034. Then the coefficient of determination (R2) is 0.823 (82.3%). So that it can be said that 82.3% of the variation in the dependent variable, namely the quality of fertilizer, technology and capital in the model has contributed to the productivity of the community in Tunas Harapan Village, Gunung Meriah District, Aceh Singkil Regency, while the remaining 17.7% is influenced by other variables outside the model