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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 financial system plays an important role in the economy. An unstable financial system will be vulnerable to various problems that disrupt the rotation of a country's economy and be vulnerable to economic problems such as the global crisis in various countries. The problem that occurs is the occurrence of Covid-19 causing various fluctuations in the level of inflation, money supply, imports, the occurrence of unstable inflation from January 2019 to August 2021, low inflation resulting in a decrease in imports and an increase in the money supply in Mexico. , Vietnam, Philippines, Hongkong, Indonesia, Canada, Malaysia, Singapore, Peru, and China. The analytical method in this study uses the ARDL Panel (Autoregression Distributed Lag) approach. The ARDL Panel Model determines which country models from APEC countries are able to control long-term financial system-based economic fundamentals in Mexico, Vietnam, the Philippines, Hong Kong, Indonesia, Canada, Malaysia, Singapore, Peru, and China and the Different Test for modeling the impact of covid-19 19 on the economic fundamentals of the financial system. The results of the research found the ARDL Panel prediction model in modeling the impact of Covid-19 on economic fundamentals in the financial system. The main Leading Indicator of variable effectiveness in controlling Inflation In TAPEC is JUB where Vietnam, the Philippines, Hong Kong, Japan, Malaysia, Singapore, Peru and China have a significant influence in controlling Inflation. Then overall in the long term (Long Run) it turns out that only the JUB and CDV variables have an effect on INF In TAPEC, while in the short term (Short Run) it is JUB that influences Inflation In TAPEC.  

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  

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 .