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This journal discusses the influence of the inflation rate on Gross Domestic Product (GDP) based on an Islamic Economics perspective. So it can be understood that the size of the inflation rate in a country will greatly influence the level of GDP. Where inflation has a simultaneous influence on GDP, and inflation has a partial negative impact on GDP. The writing of this journal uses a deductive qualitative approach (from general to specific), examining relevant general phenomena, then producing specific studies and conclusions on matters that are the object of research, using a normative juridical approach with literature study. A country's economic growth can be represented through an increase in the country's GDP, apart from income factors in terms of consumption, investment, government spending and net exports. GDP is greatly influenced by the inflation factor. Inflation in the view of Islamic economists is an economic indication that occurs at a macro level in almost every country related to the decline in the exchange rate of money for goods and services, whether it occurs naturally (natural inflation) or is caused by human error (Human Error Inflation). Inflation does not only occur naturally, it can be caused by the pull of Aggregate demand (Aggregate demand) or due to a decrease in Aggregate supply (Aggregate Supply), but also occurs due to human error in regulating state administration and law enforcement, giving rise to a country's economic interconnectedness. Maintaining the stability of a country's economy by controlling the rate of inflation is something very basic, where inflation significantly affects Gross Domestic Product. GDP is an important indicator of economic growth in measuring economic activity, especially the volume of production in a country in one year.

Air is very vital for the survival of living things, therefore it is important to maintain air quality to avoid pollution. One of the causes of air pollution is high carbon dioxide emissions resulting from economic and industrial activities which are trapped in the atmosphere, causing a greenhouse gas effect. This research aims to determine the influence of GDP, coal exports and fossil energy consumption on air pollution in Indonesia in terms of CO 2 emissions . This research also aims to test whether the Environmental Kuznet Curve (EKC) hypothesis applies in Indonesia. The type of data used in this research is secondary data in the form of quantitative data obtained from BPS, World Bank, etc. This research was conducted in all provinces in Indonesia. The data analysis technique used in this research is the Error Correction Model ( ECM). The research results show that in the short and long term the variables GDP, coal exports and energy consumption simultaneously have a significant effect on the level of CO 2 emissions . GDP in the short term and long term does not partially have a significant effect on the level of CO 2 emissions . Meanwhile, GDP squared in the short term partially has no significant effect and in the long term it partially has a positive and significant effect. This shows that the EKC hypothesis does not apply in Indonesia. Coal exports in the short term and long term partially do not have a significant effect. Fossil energy consumption in the short term and long term partially has a positive and significant effect. Considering the importance of air for human life, it is necessary to pay attention to the factors that influence air pollution.  

This research investigates the impact of macroeconomic fundamentals on financial performance and capital structure, with earnings management and firm characteristics as intervening variables, focusing on manufacturing companies listed on the Indonesia Stock Exchange. The macroeconomic fundamentals analyzed include inflation, exchange rates, GDP, and interest rates, which are hypothesized to affect stock returns. Capital structure is measured by the debt-to-equity ratio and the debt-to-asset ratio. Financial leverage is gauged using the interest coverage ratio and the debt-to-operating income ratio. Firm characteristics encompass the company's age, the number of board commissioners, the number of directors, and the number of audit committee members. Financial performance is evaluated using indicators such as EBIT, DFL, DOL, DPR, asset turnover, and EPS growth. The research employs a quantitative method with data analysis conducted using Smart PLS. The results indicate that financial leverage significantly influences firm characteristics and capital structure but does not significantly impact financial performance. Macroeconomic fundamentals significantly affect firm characteristics but do not significantly impact financial performance, earnings management, or capital structure. Firm characteristics significantly influence financial performance but not earnings management. Capital structure significantly affects earnings management but does not significantly impact financial performance. This study aims to provide insights for decision-makers to enhance company financial performance through effective management of capital structure and earnings management.

Ketidakmampuan suatu negara untuk memenuhi kebutuhan hidupnya secara mandiri mendorong terjadinya kegiatan ekspor. Penelitian ini bertujuan (1) mengetahui pengaruh konsumsi domestik, Gross Domestik Product negara tujuan, inflasi, dan kurs USD secara parsial atau simultan parsial serta (2) mengenali variabel bebas penelitian yang mempunyai pengaruh besar pada volume ekspor kopi Indonesia ke lima negara tujuan utama. Data yang dipakai ialah data sekunder runtun waktu 2013-2022 pada lima negara tujuan utama Amerika Serikat, Mesir, Malaysia, Italia, dan Jepang. Teknik analisis data yang dipakai di penelitian ini yaitu regresi data panel dengan model regresi yang terpilih ialah Common Effect Model (CEM). Hasil penelitian mengemukakan konsumsi domestik, GDP, inflasi, dan kurs USD secara simultan mempunyai pengaruh signifikan pada volume ekspor kopi Indonesia ke lima negara tujuan utama. Secara parsial konsumsi domestik, inflasi, dan kurs USD mempunyai pengaruh negatif serta signifikan, sedangkan variabel GDP berpengaruh positif serta signifikan pada volume ekspor kopi Indonesia ke lima negara tujuan utama dan variabel yang mempunyai pengaruh besar pada volume ekspor kopi Indonesa adalah Gross Domestic Product.

Special economic zones as a tool for regional economic development are important because they contribute to reducing disparities between regions and reducing poverty in a fair and consistent manner. In developing Special economic zones , it is important to carry out coordinated planning between sectors so that sustainable development is part of national development. This research focuses on the impact of special economic zone policies in Indonesia. The type of research is normative legal research, which includes documents that are used as references, especially basic legal documents, and secondary documents such as literature, books, scientific works, articles scientific, etc., where the analysis is carried out in more depth related to the problem of studying legal provisions. This document discusses Special Economic Zones in Indonesia and their policies. The Galang Batang SEZ was developed as an industrial center for the processing of mining minerals such as bauxite and its derivative products. The synergistic impacts of SEZs include: Increasing Gross Regional Domestic Product SEZs can increase economic activity in a region cumulatively, which contributes to increasing regional GDP and Infrastructure Development: SEZs are National Strategy Projects that are supported by the development of surrounding infrastructure.  

The food and beverage industry contributes significantly to Indonesia's Gross Domestic Product (GDP), with UMKM AC, located in Bogor City, being one of the contributors. This research formulates a business strategy for UMKM AC using the Business Model Canvas (BMC), SWOT analysis, and evaluation of Key Performance Indicators (KPIs) with the Balanced Scorecard (BSC). Data were collected through questionnaires and literature studies. The BMC analysis results indicate strengths in customer segmentation and community relations. The internal and external factor analysis shows that UMKM AC is in a position to grow and develop. The SWOT analysis identifies opportunities for UMKM AC, focusing on strategies that have a positive impact. The BSC evaluation shows overall good performance, but there are some strategic goals that need further improvement. This research highlights the importance of strategic planning and performance evaluation for SMEs in facing industry competition.

Indonesia's rapid population growth requires the economy to grow at least 2.2% every year to keep per capita output stable. This results in high labor force growth that is difficult to overcome. Labor absorption must be in line with economic growth to prevent disparities. The processing industry sector plays a major role in the strategy for employment absorption and economic growth. This industry is also considered a leading sector in the economy, with a favorable exchange rate and creating higher added value. In Surabaya, economic growth and per capita income are higher than other areas in East Java. This city has great potential to develop promising sectors and encourage economic growth. Regional economic conditions, including GRDP, taxes, inflation, investment and other economic services, can reflect the success of a region.  

This research aims to analyze the influence of exchange rates and inflation on Indonesia's economic growth in the 2014-2023 period. Economic growth data is measured using the Economic Growth Percentage (GDP), while the exchange rate is measured by the Value of USD 1 in Rupiah, and inflation is measured by the Inflation Percentage (General). In this research, the author uses statistical analysis methods to examine the relationship between exchange rates, inflation and economic growth. The data used comes from trusted sources, such as the Central Statistics Agency (BPS) and Bank Indonesia (BI). The research results show that there is a relationship between the exchange rate and Indonesia's economic growth. A high exchange rate tends to have a negative impact on economic growth, because it can cause a decrease in net exports and a decrease in production levels. Apart from that, inflation also has an influence on economic growth. A high level of inflation can cause economic instability and have a negative impact on people's real income. Apart from that, this research also shows that both the exchange rate and inflation have a significant influence on Indonesia's economic growth. This second factor needs to be considered in efforts to advance the economy and achieve optimal economic stability. This research provides a better understanding of the factors that influence Indonesia's economic growth. It is hoped that the results of this research can be a reference for the government and economic actors in taking appropriate policies to accelerate economic growth and maintain economic stability.

This Research Aims To Analyze The Impact Of The Economic Crisis On The Macroeconomic Level, Focusing On Key Variables Such As Economic Growth, Unemployment Rate, Inflation And Trade Balance. Using Historical Data And Quantitative Economic Analysis Methods, This Study Identifies Patterns And Trends That Emerge During Periods Of Economic Crisis In Various Countries. The Research Results Show That Economic Crises Tend To Cause A Significant Contraction In Gross Domestic Product (GDP), A Sharp Increase In The Unemployment Rate, As Well As Significant Price Fluctuations That Impact The Inflation Rate. In Addition, This Analysis Also Highlights How Fiscal And Monetary Policy Responses Can Speed Up Or Slow Down Economic Recovery. The Conclusions Of This Research Emphasize The Importance Of Appropriate Policy Strategies In Dealing With The Economic Crisis To Minimize Its Negative Impact On The Macro Economy.  

The health emergency conditions during the Covid-19 pandemic which also had an impact on the global social and economic crisis, the tourism sector was one of the sectors most negatively affected, especially the decline in tourist visits due to the travel restriction policy. This condition also affects the contribution of the tourism sector to the national economy. This research was conducted to observe the impact of factors in the gravity model and intra-industry trade, including relative distance, GDP per capita, tourism sector integration, and exchange rates on tourism demand in Indonesia from ten countries during 2017-2022 on 60 data samples with observation techniques and panel data regression model observations. Results were obtained which stated that the relative distance variable and GDP per capita had a negative effect on Indonesian tourism demand, conversely the integration of the tourism sector had a positive effect on Indonesian tourist demand, while the exchange rate variable had no significant impact on housing tourism demand in Indonesia from ten countries in 2017-2022.  

This research aims to describe how the level of education and unemployment influence poverty in East Lampung district. This research focuses on data for the period 2012 to 2022, using a multiple linear regression data processing approach where the results of the f test show that simultaneously The influence of education level and unemployment has a significant influence on poverty in East Lampung district, the education level variable has a significant negative effect on poverty while the unemployment variable has no influence on poverty in East Lampung district. It is hoped that this research can help government policies to minimize the occurrence of poverty, unemployment and motivate the population to continue to be highly educated so that the amount of poverty is reduced and can increase the value of the population's income and increase the regional GDP of East Lampung district.

This research aims to analyze the performance structure and identify superior industrial clusters in Indonesia. Using secondary data from various sources, this research adopts a quantitative and qualitative approach to evaluate industrial performance based on key economic indicators such as production growth, productivity and contribution to GDP. Cluster analysis techniques are used to group industries that show superior performance. The analysis results show that several industrial clusters, such as high-tech manufacturing and financial services, perform much better than other sectors. These findings provide important insights for policy makers and industry players in formulating more effective and sustainable economic development strategies.  

Economic growth is an indicator of development success. Therefore, the higher the economic growth, the higher the welfare of the community. The success or failure of regional development depends on several indicators, including economic growth which reflects the growth of regional gross domestic product (GDP). In this research, we will examine the influence of the demographic bonus and Open Unemployment Rate on Economic Growth for the 2014-2023 Period. The data used in this research is secondary data, namely data obtained from a second source during the period 2014 to 2023. The type of data used in this research is time series data, namely time series data. Based on the research results, it shows that the independent variables influence Economic Growth (PE) in Lampung Province. Meanwhile, partially, the Demographic Bonus (BD) and Open Unemployment Rate (TPT) variables do not have a positive effect on Economic Growth (PE) in Lampung Province. BD and TPT together influence Economic Growth (PE) in Lampung Province in 2013-2022, using a confidence level of 95% or with an alpha (ɑ) of 0.05.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving Indonesia's economic progress, as they contribute significantly to job creation and increasing Gross Domestic Product (GDP). However, MSMEs are facing various challenges that hinder their ability to contribute optimally. This article aims to analyze the impact of MSMEs on Indonesia's economic growth, with an emphasis on policy perspectives and implications. The research uses a descriptive qualitative and quantitative approach, with secondary data obtained from the Central Statistics Agency (BPS), the Ministry of Cooperatives and SMEs, and relevant academic literature. The results show that MSMEs contribute more than 60% to Indonesia's GDP and create more than 97% of the workforce. However, challenges such as access to capital and technology hinder the growth of MSMEs. Policy recommendations include improving access to capital, technology support, and entrepreneurship training. Further research is needed to better understand the impact of MSMEs and to develop effective innovation and technology strategies.  

This study aims to analyze the optimization of monetary policy and fiscal policy (current policies) in stabilizing the economy, precisely in overcoming the unemployment rate during the pandemic in the 6 lowest unemployment countries. Where monetary variables (Money Supply, Exchange Rate and Real Interest Rate), fiscal policy (Government spending), and economic stability (Inflation, GDP, and Wages). This study uses secondary data or time series, namely from 2008 to 2020. The data analysis model in this study is the ARDL Vector Panel model. The results of the IRF analysis showed that the stability of the variable response was formed in the 8th period or medium term and the 15th or long-term period, where the response of other variables to changes in one variable showed variations both from positive to negative responses and vice versa, and there were variables whose responses remained positive to negative from short to long-term. The results of the FEVD analysis show leading indicators as operational targets. Then the results of the ARDL Panel analysis show that in terms of the Inflation Panel, the Amount of Money Supply, Interest Rates, Gross Domestic Product, Government Expenditure, Exchange Rates, and Wages are able to maintain economic stability, precisely at the unemployment rate in the 6 lowest unemployment countries, in the short and long term.

Economic growth is the main indicator that reflects the economic development of a country. Through economic growth analysis, it can be seen how economic policy, investment, productivity and other factors contribute to an increase or decrease in gross domestic product (GDP) and social welfare. This article reviews the concept of economic growth, its determining factors, and its implications for the country's economy. Apart from that, various challenges faced in efforts to achieve sustainable and inclusive economic growth are also discussed. By understanding the dynamics of economic growth, policymakers can design effective strategies to encourage stable and sustainable economic development.

This study aims to analyze the effect of oil and gas exports on the Indonesian economy using the national values approach based on the 1945 Constitution. This research is motivated by the strategic role of the oil and gas sector in the national economy and the importance of implementing national values in the management and utilization of the oil and gas sector for the welfare of the people. The methodology used is analysis with data obtained from literature studies related to Indonesia's oil and gas exports. The results showed that oil and gas exports have a significant influence on the Indonesian economy, both in terms of state revenue, trade balance, and contribution to Gross Domestic Product (GDP). However, the management of the oil and gas sector still faces several challenges, including fluctuations in world oil prices, declining production, and environmental issues. The implementation of national values based on the 1945 Constitution in this analysis includes the principle of benefits for the people of Indonesia, sustainable management of natural resources, and equitable distribution of welfare. This study suggests that Indonesia's oil and gas export policy should be more directed towards strengthening national energy security, economic diversification, as well as implementing the principles of sustainable development and social justice in accordance with the values contained in the 1945 Constitution.

This research aims to analyze the influence of financial sector deepening and foreign exchange reserves on currency exchange rates in Indonesia, Malaysia and the Philippines. The variables in this research are exchange rate, GDP, credit interest rates, money supply, foreign exchange reserves. This research uses secondary data taken from WorldBank in 2005-2022. The data analysis technique used is the Autoregressive Distributed Lag (ARDL) panel. The research results from the ARDL model analysis show that the countries that are able to become lead indicators for KURS tariff stability are Indonesia and Malaysia. This is because all the variables or indicators in the research, namely (Foreign Exchange Reserves, GDP, JUB and Credit Interest Rates) in these countries have a significant effect on the KURS, while CDV, GDV and JUB do not have a significant effect on the KURS. in the Philippines, only the SBK variable has a significant effect on the KURS in the Philippines. If we look at short-term and long-term stability, the Unemployment Rate variable, both short-term and long-term, has a significant effect on KURS stability.

This research aims to determine the effect of the government expenditure model and green growth based on green energy consumption in Indonesia which has 4 variables, namely carbon emissions, energy consumption, economic growth and government expenditure. The analytical method used in this research is the Vector Auto Regression (VAR) model with the Impulse Response Function (IRF) test, Forecast Error Varince Decomposition (FEVD), stationarity test, cointegration test, structural lag stability test, and optimal lag length test. . The results of the Vector Autoregression research using lag 1 as the basis show the contribution of each variable to the variable itself and other variables. The results of the Vector Autoregression analysis also show that the past variable (t-1) contributes to the current variable, both the variable itself and other variables. From the results of the analysis, there is a reciprocal relationship between one variable and another variable. Response Function Analysis shows the response of other variables to changes in a variable in the short, medium and long term, and it is known that the stability of the response of all variables is formed within a period of 5 years or the medium term. and long term. Variance Decomposition Analysis shows that there are variables that have the largest contribution to the variable itself in the short, medium and long term, such as CO2, EC, and GOV. Meanwhile, another variable that has the greatest influence on the variable itself in the short, medium and long term is CO2 which is strongly influenced by GOV and GDP.

The economic development of a region involves examining its Gross Regional Domestic Product (GRDP). The index number method of openness used in this study aims to determine the level of economic openness of a region. This research utilizes secondary data obtained from the Central Bureau of Statistics (BPS) for the period 2018–2022. The research findings indicate that the average export index is 105.0% per-year, indicating an increase in value of exports by 5.0% per-year, the average import index is 87.4% per-year, indicating a decrease in the value of imports by 12.6% per year. Average net export index is 122.9% per-year, indicating an increase in the value of exports by 22.9% per-year. DKI Jakarta demonstrates a strong economic growth rate with an increase in GRDP of 3.1% per-year, as well as showing stable economic activity indicators with an average GRDP index of 103.1% per-year. GDP is directly influenced by exports, an increase in GRDP does not necessarily increase the value of exports. DKI Jakarta has a high economic value, emphasizing the importance of diversifying different types of exports to expand trade networks and enhance competitiveness. The government should reduce dependence on imported goods and increase local production in certain fields..