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Accounting pays close attention to aspects of foreign currency transactions and adjustments to the functional currency that impact financial statements. PSAK 10 is the main guideline in regulating changes in foreign exchange rates and affecting businesses. A good understanding of PSAK 10, functional currency, and foreign currency transactions is crucial for business entities, especially those operating in a foreign currency economic environment. The case study used in this research is descriptive qualitative with literature review method. Research that characterizes research subjects based on emerging facts is known as descriptive qualitative research. The results of the research on the case study of PT Dianta Mitrafairindo Internasional highlighted the significant role of foreign exchange transactions in the company's operations, with management seriously implementing proper accounting processes, dealing with foreign exchange differences, and recording them thoroughly. Despite a loss in 2018, the company managed to record a profit in 2019, demonstrating its seriousness and commitment in managing foreign exchange risks. Overall, PT Dianta Mitrafairindo Internasional demonstrated accuracy, vigilance, and a strong commitment to foreign exchange-related accounting aspects in the context of its global business.    

Although Indonesia occupies the third position as a food-producing country in the world, almost every year it faces repeated problems with production, especially rice food production. As a result, Indonesia has to import rice from other food-producing countries. The purpose of this study is to find out what factors affect rice imports in Indonesia. The method used in this study was multiple linear regression analysis. This study concludes that there is simultaneously a significant influence between Rice Production, Rice Price, Population, and Exchange Rate on Rice Imports in Indonesia. Meanwhile, partially Rice Production and Exchange Rate have an insignificant influence, Rice Price and the Population have a significant influence on Rice Imports in Indonesia.

The joint stock price index (IHSG) as a benchmark for the progress of the capital market in Indonesia. The purpose of this study was to analyze the effect of Macro Variables on the Composite Stock Price Index (JCI) for the period 2010 to 2021. The macro variables used were Inflation, Economic Growth, Dollar Exchange Rate and SBI or 7 Day Repo Rate against the JCI. The number of years in the sample is 12 years, from 2010 to 2021. Multiple linear regression analysis, T test, F test, coefficient of determination test using SPSS Version 26 software. The conclusion is that gold price and Lq45 has  significant effect on the JCI, while the others macro variable, have no significant effect on the JCI. Simultaneously, all macro variables have a significant effect on the JCI.    

International trade is trade carried out between countries by carrying out export and import activities. International trade is the international exchange of goods and services across international borders. This is usually accompanied by the added risk of changes in exchange rates. The purpose of this analysis is to determine the influence of international trade on Indonesia, where the author uses descriptive research and collects information and analyzes data using secondary data. From this analysis, it can be seen the impact of international trade and its impact on Indonesia

The economy of a country can be seen from its internal conditions such as the real sector, namely production, consumption and investment. Then the monetary sector, such as inflation, the money supply and the balance of the exchange rate. In addition, the condition of the Indonesian economy can also be seen from external conditions which are reflected in the development of the balance of payments which illustrates the condition of the Indonesian economy in the real and monetary sectors. The balance of payments also measures the ability of the economy to support international transactions, especially transactions related to debt obligations and export-import transactions, and informs the government about the state of the economy, especially in this regard. On the results of economic relations with other countries. Thus, the balance of payments can assist in decision-making in the currency sector. Indonesia's balance of payments often fluctuates from time to time. A current account deficit does not result in a balance of payments deficit because the financial account increases capital and compensates for the current account deficit.

Over time, Islamic banking is growing more rapidly, this phenomenon also affects the economic system in Indonesia. This study aims to determine the effect of inflation and exchange rates on mudharabah financing in Islamic banking in Indonesia. This research is a quantitative study using time series data. The data used is secondary data obtained from the official website of Bank Indonesia (BI) and the Central Bureau of Statistics (BPS). The samples used in this study are inflation, exchange rates and mudharabah which are annual historical data starting from 2013-2021. The data analysis technique is using multiple regression analysis with the Ordinary Least Square (OLS) method. This study shows the results that inflation has a significant negative effect on mudharabah financing. Meanwhile, the exchange rate does not have a significant effect on mudharabah financing. 

The purpose of this research is to analyze the effect of exchange rate, deposit and bi rate on profitability with credit as a mediating variable. The population in this study is all monthly data from the exchange rate, BI rate, deposits, credit and profitability (ROA) of conventional commercial banks in Indonesia. The sampling method is purposive sampling with the criteria used being the closest (up to date) period by taking available data from January 2011 to December 2021. The results of hypothesis testing show that hypothesis 1 (H1) that the exchange rate has a negative effect on credit is not proven and cannot be interpreted. Hypothesis 2 (H2) that deposits have a positive effect on credit is proven and can be interpreted that an increase in the amount of deposits will increase the amount of credit. Hypothesis 3 (H3) that the BI rate has a negative effect on credit is proven and can be interpreted that an increase will reduce the amount of credit. Hypothesis 5 (H5) that the exchange rate has a negative effect on profitability is proven and can be interpreted that an increase in the exchange rate will reduce ROA. Hypothesis 6 (H6) that the BI rate has a negative effect on ROA is not proven and cannot be interpreted. The hypothesis (H7) that exchange rates have an effect on ROA with credit as a mediating variable is not proven. Because the results of the hypothesis testing are not significant, there is no mediating effect. The hypothesis (H8) that the BI rate has an effect on ROA with credit as a mediating variable is proven, resulting in a mediating effect and it can be interpreted that an increase in the BI rate will decrease ROA.

International trade is a tool in increasing the country's economic growth. This research intends to conduct an analysis of the open rate and the exchange rate on Indonesia's economic growth. An analysis was also conducted on the impact of interest rates, exchange rates and economic growth on the value of Indonesia's exports. Efforts to obtain scientific results require the use of scientific methods where in this research path analysis is used by utilizing the SPSS program. The results obtained are interest rates and exchange rates have a direct impact in the form of a negative impact on Indonesia's economic growth. The impact of interest rates is not significant but positive. while Indonesia's economic growth has a positive and significant impact on exports. Economic growth also mediates the effect of interest rates and exchange rates on the value of Indonesia's exports.

As international trade activities are increased, there are more regulative practices which might  be  barriers to trade. One  of such hindrances is exchange rate volatility that  affects trade activities both  directly  and indirectly. Exchange rate volatility of currencies can  affect  the  trade engagements and  as well as the  trade balance of a country. One  of the  implications of the  study is that  the  impacts of monetary policy changes on trade activities can  be  noticed significantly in the  long-term. While impacts on export levels  are usually immediate, import levels are changed in long-run. The research analyzes the correlation between inflation and  devaluation and  clearly  states their  impacts on  trade balance. The  case study about devaluation of the  currency of Azerbaijan elaborates the  impacts of currency volatility on exports which is illustrated and analyzed in this research. Moreover, inflation and  devaluation correlations and  their impacts on import level of a country are studied through correlation and  multiple  regression analyses based on the  data exported from  OECD and  World Bank.  The  results conclude that  exchange rate volatility significantly impacts the trade balance in terms of imports and  exports. Given the  results, exchange rate is a non-trade barrier and affects foreign trade.

The purpose of this study is to ascertain how GDP, inflation, and exchange rate affect VAT collection. Multiple linear regression or ordinary least squares is the research model used (OLS). The amount of VAT collected is the dependent variable in this study; the independent variables are inflation, exchange rate, and gross domestic product. The data in the time series is for example (2005-2020). Inflation, exchange rate, and inflation only have a small impact on VAT revenue, while GDP has a considerable positive impact.

The research was conducted in Medan Krio Village, Sunggal District, Deli Serdang Regency, North Sumatra Province. The purpose of this study was to analyze the variables of crop production and the exchange rate of farmers to the income of rice farmers in Medan Krio Village both partially and simultaneously. The research data used are primary. In addition, secondary data is also used as support for primary data. The data analysis technique used is a direct interview of respondents with the help of a questionnaire that has been prepared. The data analysis method used is Multiple Linear Regression. The results of this study variable crop production have a significant effect on the income of rice farmers in Medan Krio Village. And the variable exchange rate of farmers has an insignificant effect on the income of rice farmers in Medan Krio Village. The simultaneous variables of crop production and farmer exchange rates simultaneously do not affect the income of farmers in Medan Krio Village. The suggestion in the research is that there is a need for intervention from the government and the private sector to increase farmers' crop production to improve the welfare of farmers.

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.

As a developing country, Indonesia has an economic structure dominated by the agricultural sector, making it vulnerable to disruptions to economic stability. Economic growth is an indicator showing that the economic level of society in general has increased in terms of consumption habits and people's purchasing power for goods and services. However, excessive consumption leads to a consumer society and inflation. This study aims to look at the causality between inflation, consumer price index, interest rates, gross domestic product, and exchange rates using the time series approach in the form of the quarterly period 2014Q1 to 2022Q2 in Indonesia using the VAR (Vector Autoregression) method. The research results show that inflation is related to or influenced by the consumer price index and savings. As for the Exchange Rate, Gross Domestic Product and Interest Rates have no effect on inflation.

The object of this research is Economic Growth in Central Java. This study aims to analyze the effect of foreign investment, inflation, and the consumer price index on economic growth in Central Java. The data used is time series data from 2015-2019 published by Bank Indonesia, the Central Bureau of Statistics, and the World Bank. The analytical method used in this study is a multiple regression analysis tool with the Ordinary Least Square (OLS) method approach. Based on this study it was concluded that inflation has a significant effect on economic growth in Central Java, while the exchange rate and investment have no significant effect on inflation in Central Java.

The purpose of this study was to find out the relationship between GDP, inflation and exchange rates on imports in Indonesia in 1991 – 2020. Import is the process of legally transporting goods or commodities from one country to another, generally in the process of trade. If in a country imports increase then the country's national income will decrease. Countries that often import are developing countries, for example Indonesia. Therefore, the method that can be used is the VAR method. and the data used is quantitative data, because the data used to calculate the effect on import variables. The source of financial data is used as secondary data, which is data obtained from official sites or websites. The results of this study are that the inflation variable has a greater relationship than GDP and exchange rates.

This research aims to analyze the influence of exchange rate, exports, and  imports on Indonesia's foreign exchange reserves in the period of 1992-2021. The dependent variable is foreign exchange reserves, whereas the independent variables consist of exchange rate, exports, and imports. The research uses secondary data in time series obtained from Indonesia’s World Bank Data. Data are analyzed with VAR (Vector Auto Regression), those analyzed use E-Views 10 apss by including analysis method, which includes stationary tests, stability tests, optimum lag tests, cointegration tests, VAR estimation tests, Engle Granger causality tests, Impulse Response Function (IRF) tests, and Variance Decomposition (VD) tests. The results of the study show that exchange rate variables have a large influence on foreign exchange reserves, while export and import variables have a small effect on foreign exchange reserves.

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 .  

Stock investment in the capital market promises two forms of profit, capital gains and dividends. In addition to high profits, stock investments also have a high risk of loss because stocks have a nature high return-high risk. One of the risks posed is the ups and downs of stock prices that occur at any time can cause losses such as capital loss. The purpose of this study was to determine the effect of ROE, DER, and exchange rates on stock prices in BUMN listed on the Indonesia Stock Exchange (IDX) for the 2016-2020 period. The sampling technique is a purposive sampling technique. The sample obtained amounted to 13 companies. The results of the analysis using SmartPLS 3.0 shows that ROE has a positive and significant effect, DER has a negative and significant effect, while the exchange rate has no significant effect on stock prices.

This study aims to analyze the contributions of the variable interactions of monetary policy in the stability of goods and services prices. Where is the monetary  policy variable (inflation, kurs, consumer price index, gross domestic products, the money supply, and interest rates). Research in conducted in the country of Indonesia and uses secondary data or time series from 2008 to 2021. The data analysis model in this study is Simultaneous Model. Simultaneous equations to analyze the relation between independent and variable variables found in the research country. Simultaneous analysis of equations on statistical test common equation 1 suggests that variable interest rates, money distribution, exchange rates and consumer price indexes have significant adverse effects on the inflation. Whereas in the same equation 2, it suggests that gross domestic product variables have a positive relationship that is significant to the ihk. And inflation has a negative relationship significantly insignificant to consumer price index. For this reason, the researcher hopes that the monetary authority, namely Bank Indonesia, can improve monetary stability and maintain the BI rate in regulating the money supply so that it can suppress the inflation rate as an effort to stabilize the prices.    

This study was conducted to determine the factors that influence the farmer's exchange rate (the ratio of the price index received by farmers to the price index paid by farmers) in the food crops sub-sector in Riau Province. The data collected in this study is data published by the Central Statistics Agency of Riau Province. The data obtained were then analyzed using SPSS 22. The test results show that the level of expenditure has a negative and significant effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (-2.475) < ttable (2.44691) with a significant value of 0.048 < 0.05. Harvested area has a significant positive effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (4.441) < ttable (2.44691) with a significant value of 0.004 <0.05. Meanwhile, the food import variable has no significant effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (2.273) < ttable (2.44691) with a significant value of 0.063 > 0.05, with a value of Fcount (12.476) > Ftable , (4,35).