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This study aims to analyze the variable contribution of the interaction of monetary policy variables (COURSE, GDP, INFLATION, CONSUMPTION and INTEREST). This study uses secondary data or time series from the first quarter of 2014 to the first quarter of 2024. The data analysis model in this study is the Structural Vector Autoregression (SVAR) model and sharpened with Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD) analysis. The results of the SVAR analysis show that the past variable (t-1) contributes to the current variable both to itself and other variables and from the estimation results it turns out that there is a reciprocal relationship between variables where all variables, namely monetary policy variables (GDP, INFLATION, CURRENCY, CONSUMPTION and INTEREST) contribute to each other.

Researchers in this study aim to determine the Natural Resources-Based Green Trade Model for Green Growth in Brazil, Russia, Indonesia, Singapore, India and China (BRISIC). The method in this research is using the ARDL Panel method. The variables used in this research are Green Growth, Green Trade, Natural Resources, Financial Inclusion, Green Innovation, Digital Economy. The results of this research are from the Green Trade Model Based on Natural Resources on Green Growth in Brazil, Russia, Indonesia, Singapore, India and China (BRISIC) using the panel method, it can be concluded that in BRISIC countries the variable that has an overall influence is green trade. and Natural resources both Short Run Equation and Long Run Equation.

This study aims to determine the effect of fintech, the amount of money in circulation, interest rates and economic growth on the analysis of digital economic trends on monetary policy in Indonesia. There are four variables in this study, namely fintech, the amount of money in circulation, interest rates and economic growth. The analysis method used is Vector Autoregression with the Impluse Response Function test or abbreviated as IRF and the Forecast Error Variance Decomposition test commonly abbreviated as FEVD, stationarity test, cointegration test, lag structure stability test and optimal lag length test. There is a contribution from each variable to the variable itself and other variables, according to the results of the Vector Autoregression study with a lag basis of 2. In addition, the results of the Vector Autoregression analysis show that the past variable (t-1) contributes to the current variable both to the variable itself and to other variables. The results of the analysis show that there is a reciprocal relationship between the variables. By using response function analysis, we can see if there is a response from other variables to changes in one variable in the short, medium, or long term. In addition, we know that the stability of all variables is formed in the short, medium, and long term. According to the Variance Decomposition Analysis, factors such as Fintech and Money Supply contribute the most to the variable itself. However, other variables that have the greatest influence on the variable itself and are supported by other variables in the short, medium, and long term are economic growth and interest rates are most influenced by Fintech.

This research aims to determine the influence of Islamic banking financial ratios in the form of Return on Assets (ROA) Ratio, Non Performing Financing (NPF) Ratio, Financing to Deposit Ratio (FDR) and Total Asset Turnover (TATO) on the Operational Cost-Operational Income Ratio (BOPO) at Sharia Commercial Banks in Indonesia.  This research uses a quantitative approach with sample data totaling 7 (seven) sharia commercial banks out of 13 (thirteen) sharia commercial bank populations registered with the Financial Services Authority. Research data uses secondary data for the annual period in the period 2010 - 2023. By using the ARDL (Autoreggressive Distributed Lag) panel model using the PMG (Pooled Mean Group) method, the research results show that in the panel, it turns out that the Leading Indicator is the effectiveness of the variable in controlling the BOPO Ratio at Sharia Commercial Banks in Indonesia is Return on Assets (ROA), where ROA significantly influences the BOPO Ratio at Bank Muamalat Indonesia, Bank Aceh Syariah, Bank Riau Kepri Syariah, Bank Jabar Banten Syariah, Bank Mega Syariah, and Bank NTB Syariah, with stable positions in the short and long term. Of the 7 (seven) Sharia Commercial Banks that are the objects of research, there are 4 (four) banks that are leading indicators of the effectiveness of sharia banking in influencing the stability of the BOPO ratio, namely: Bank Aceh Syariah, Bank Riau Kepri Syariah, Bank Jabar Banten Syariah, and Bank Mega Syariah through ROA, NPF, FDR, and TATO.  Financing to Deposit Ratio (FDR) is also capable of being a Leading Indicator of variable effectiveness to influence the BOPO Ratio at Bank Muamalat Indonesia, Bank Aceh Syariah, Bank Riau Kepri Syariah, Bank BCA Syariah, Bank Jabar Banten Syariah, Bank Mega Syariah, and Bank NTB Syariah, However, its position is unstable in the short and long term.

The aim of this study is to analyze the simultaneous effects of financial inclusion, financial literacy, MSME investment, and unemployment on MSME income and the unemployment rate in Indonesia. We used a simultaneous equation method with the observed variables being financial literacy, financial inclusion, the number of MSMEs, MSME labor, MSME investment, MSME income, and unemployment. The data used is secondary data covering the period from 2011 to 2022. The results show that the variables of financial inclusion, financial literacy, MSME investment, and unemployment have a significant partial and simultaneous effect on MSME income. From the equation, financial inclusion, financial literacy, and MSME investment have a positive effect on MSME income, while unemployment has a negative effect on MSME income. Furthermore, the variables of the number of MSMEs, MSME labor, and MSME income have a significant partial and simultaneous effect on unemployment. From the equation, the number of MSMEs, MSME labor, and MSME income have a negative effect on unemployment.  

Using a quantitative approach, this study investigates the effect of port export and import volumes on economic growth in North Sumatra and West Sumatra Provinces. Time series data from the World Bank and the Central Statistics Agency (BPS) from 2006 to 2023 are used as secondary data. The analysis uses the ARDL Panel model, which allows for analysis of data dynamics across time and regions. The results show that the three main indicators that affect economic growth (GRDP) in both provinces, both in the short and long term, are export volume, inflation, and exchange rates. In North Sumatra, export volume has a positive impact on GRDP, while import volume has a negative impact, indicating a risk of dependence on imports. Controlled inflation also has a positive impact, while the exchange rate shows a diversion. Policy recommendations are expected to improve global competitiveness and exchange rate stability through coordination of fiscal and monetary policies, support for the Export Capacity Building Program and MSMEs through the Regional Comprehensive Economic Framework (RCEP), and export diversification to reduce dependence on certain commodities. This study emphasizes that policies that are responsive to changes in trade at the national to international levels are an important foundation for stabilizing sustainable economic growth.

Waste banks are blessed with processing. This processing has the aim of making waste into products that can be sold and gain economic value. Yayasan gugah nurani indonesia is a non-governmental humanitarian organization that works in accordance with the pillars of the SDGS (Sustainable Development Goals), especially in areas related to children's rights and community empowerment. Gugah nurani indonesia is a legal foundation under the decree of the minister of law and human rights number: ahu-594.ah.01.04. On February 24, 2009. Gugah nurani indonesia is an incorporated foundation under the decree of the minister of law and human rights number: ahu-594.ah.01.04. On February 24, 2009. The blessing waste bank has some waste management outside the waste bank. This management is the management of organic waste which is made into compost from the results of the compost is also sold by the waste bank to consumers who need it. Based on the results of the study, it shows that customers have a major contribution to improving the waste bank economy. In this study, the results of customer activeness from the blessing waste bank related to customer activeness in the waste bank are very good. Educating the community by providing knowledge related to waste and providing training. Providing guidance and support to customers by facilitating customers so that customers can become independent and able to create their own creativity.

The banking industry has a very important role in a country's economy. One of the things related to the banking sector is operational activities towards the environment. The increasing environmental damage that occurs is a form of human indiscipline in managing natural resources. Therefore, efforts that banks can make to implement environmentally friendly practices in their operational activities are green banking by considering the 5P aspects, namely People, Planet, Partnership, Peace and Prosperity. Even though banks do not contribute directly to environmental pollution, sectors that carry out business activities cannot possibly operate if they do not have capital to finance their operations and one of the financial institutions that provides capital in the form of financing is banks. So, indirectly banks play an important role in environmental sustainability. This research aims to investigate the impact of green banking on financial inclusion and the growth of Islamic banking in Indonesia. The data analysis method employed is the Seemingly Unrelated Regression (SUR) method. The research approach is associative/quantitative, utilizing secondary data obtained and processed from annual reports and sustainability reports available on the official websites of the respective companies. Additionally, references from scientific journals and previous studies on selected Islamic banks are used. The sample includes PT. Bank Central Asia Sharia Tbk, PT. Bank KB Bukopin Syariah Tbk, PT. Bank Mega Syariah Tbk, PT. Bank Muamalat Indonesia Tbk, PT. Bank Panin Dubai Syariah Tbk, and PT. Bank National Retirement Savings Account Sharia Tbk, covering the period from 2019 to 2023.

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.

The huge economic potential of the ocean in Indonesia and the importance of maintaining the sustainability of marine resource exploitation to support sustainable economic growth and food security. As one of the potentials in the marine and fisheries sector, the estimated potential of fish resources from marine capture fisheries and aquaculture certainly has the potential to fulfill the food of the Indonesian people with high protein nutritional value. The purpose of this research is to see the potential of the marine sector for food security in Indonesia. This type of research is quantitative descriptive research with time series data from 2017 to 2022 obtained from the Indonesian Central Bureau of Statistics. This research is located in Indonesia. The results showed that the water sector, namely fisheries, has high potential to support food security in Indonesia. In addition to the nutritional content contained in fish that is easily digested by the body, the selling price of fish also varies so that it is affordable at all economic levels of Indonesian households.