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This study examines the factors influencing Indonesia’s motor vehicle exports to nine developing countries using the gravity model approach with long-term and short-term panel data. The variables analyzed include the Gross Domestic Product (GDP) of partner countries, exchange rates, economic distance, and trade cooperation agreements. The data are analyzed using the Error Correction Model (ECM) to capture short-term dynamics and long-term relationships. The long-term results show that partner countries’ GDP has a significant positive effect on Indonesia’s vehicle exports, indicating that economic growth in partner countries increases demand for Indonesian automotive products. Conversely, exchange rates and economic distance have significant negative effects, suggesting that depreciation of partner currencies and economic disparities reduce export volumes. Trade cooperation agreements do not have a significant impact in the long term. In the short term, changes in GDP continue to have a significant positive effect, while exchange rates maintain a significant negative impact on exports. Economic distance and trade agreements are not significant in the short term. The significant and negative error correction term (ECT) confirms the existence of an adjustment mechanism toward long-term equilibrium. This study highlights the importance of partner countries’ economic growth and exchange rate stability in supporting Indonesia’s vehicle exports to developing countries, as well as the need to address structural barriers to improve long-term competitiveness.

Economic growth is the process of increasing a country's production capacity to generate goods and services over a specific period, reflecting the income and well-being of its people. This research aims to analyse the influence of labor, exchange rates, and exports on the Gross Domestic Product (GDP) of the manufacturing sector in Indonesia during the period 2010-2024. The method used is multiple linear regression analysis with the Ordinary Least Square (OLS) approach, using secondary data obtained from the Central Bureau of Statistics (BPS) and Bank Indonesia (BI). The research results indicate that all three independent variables, namely labor, exchange rate, and exports, have a positive and significant impact on the GDP of the manufacturing sector, both partially and simultaneously. The coefficient of determination (Adjusted R2) value of 0.9633 indicates that 96.33% of the variation in industrial sector GDP can be explained by these three variables, while 3.76% is influenced by factors outside the model. This research confirms that increased labour productivity, exchange rate stability, and export growth play an important role in strengthening the performance of the manufacturing sector in Indonesia. Therefore, policies focused on improving the quality of human resources, strengthening export competitiveness, and ensuring macroeconomic stability are needed to support the sustainable and globally competitive growth of the manufacturing sector.

Economic development strategies play a crucial role in achieving sustainable growth through increased national productivity and equitable welfare distribution. The stability of macroeconomic indicators such as inflation, exchange rates, and gross domestic product growth reflects the effectiveness of government development policies. This study aims to analyze the relationship between economic development strategies and macroeconomic equilibrium in Indonesia by examining the interconnection between the product market and the money market. The research adopts a qualitative approach using literature studies derived from scholarly journals, academic articles, and economic publications obtained from Google Scholar and other credible sources. The findings indicate that maintaining balance between the product market and the money market contributes significantly to national economic stability. A well-coordinated synergy between fiscal and monetary policies is essential to preserve macroeconomic stability and ensure that economic development progresses inclusively and sustainably amid global challenges.

This study aims to determine and analyze the development and influence of exports, exchange rates, inflation, and GRDP on the exchange rate of smallholder plantation farmers in Jambi Province. This study uses multiple linear regression analysis for the period 2009-2024 in Jambi Province. The development of exports, exchange rates, inflation, and GRDP fluctuates annually. Where the average development of exports in Jambi Province in 2009-2024 was 15.22%, the average development of exchange rates was 3.06%, the average development of inflation was 49.07%, the average development of GRDP was 6.22% and the average development of the exchange rate of smallholder plantation farmers in Jambi Province was 4.57%. The results of the study using multiple linear regression resulted in the finding that the variables of exports, exchange rates, inflation, and GRDP simultaneously influenced the exchange rate of smallholder plantation farmers in Jambi Province in 2009-2024. Meanwhile, partially, the export, exchange rate, and inflation variables have a negative effect on the exchange rate of farmers in the smallholder plantation sub-sector in Jambi Province, while the GRDP variable has a substantial positive effect on the exchange rate of farmers in the smallholder plantation sub-sector in Jambi Province in 2009-2024.

This study aims to analyze the effect of changes in interest rates, exchange rates, economic growth, and world oil prices on stock returns in the transportation and logistics sector in Indonesia during the period 2006–2024. This sector was chosen because it is highly vulnerable to fluctuations in macroeconomic factors that have a direct impact on companies' operating costs and financial performance. The method used is multiple linear regression with an annual panel data approach, using a sample of transportation and logistics companies listed on the Indonesia Stock Exchange. The independent variables include changes in interest rates, exchange rates, economic growth, and oil prices, while the dependent variable is stock returns. The results show that, partially, only changes in interest rates have a significant negative effect on stock returns. Conversely, exchange rates, economic growth, and oil prices have no statistically significant effect. Simultaneously, these four variables also show no significant effect on stock returns. This study makes a new contribution through the use of a long observation period and a focus on the transportation and logistics sector, thereby providing a deeper understanding of this sector's sensitivity to macroeconomic conditions.

This study uses a quantitative associative approach to analyze the influence of exports, imports, inflation, and exchange rates on economic growth in five ASEAN member countries: Indonesia, Malaysia, Singapore, Thailand, and Vietnam. The data used are secondary data obtained from the World Bank for the period 2013–2023. The analysis technique used is the Panel Autoregressive Distributed Lag (Panel ARDL) Model, which begins with stationarity and cointegration tests. Results The ARDL Panel Model estimation in this study is declared valid because it meets the main requirements, namely having a cointegrated lag with a negative coefficient value of -0.831550 and significant at the 5% significance level (probability 0.0000 < 0.05). The long-term estimation results indicate that only the inflation variable has a significant influence on Gross Domestic Product (GDP) in the 5 ASEAN countries studied. Meanwhile, in the short term, no variables were found to have a significant influence on GDP in the 5 countries. Furthermore, country-level estimations show varying results. Indonesia is the only country that shows a significant influence of exports, imports, inflation, and exchange rates on GDP. Thailand shows a significant influence of exports and exchange rates, while Malaysia, Singapore, and Vietnam do not show any significant influence of exports, imports, inflation, and exchange rates on GDP. These findings reflect that the relationship between macroeconomic variables and economic growth in ASEAN countries is heterogeneous and is strongly influenced by the structural characteristics of each country.

This study aims to analyze the financial performance of PT ABC Tbk during the period 2019–2023 using the Du Pont System as the primary analytical tool. The Du Pont System is widely recognized as a comprehensive method to evaluate a company’s overall performance by breaking down profitability into several key components: net profit margin, total asset turnover, return on investment (ROI), equity multiplier, and return on equity (ROE). The research employs a descriptive quantitative approach, with data sourced from secondary materials in the form of official financial statements published by the Indonesia Stock Exchange (IDX). A purposive sampling technique was applied to ensure the relevance and accuracy of the data analyzed. The findings reveal that the company’s financial performance throughout the five-year observation period has been less than optimal. Each of the main components of the Du Pont System showed average ratios that fell below the industry benchmark, indicating structural weaknesses in both profitability and efficiency. Specifically, the net profit margin and total asset turnover were constrained by high operational costs, while ROI and ROE were further pressured by volatility in foreign exchange rates. These inefficiencies highlight the vulnerability of the company’s financial structure to both internal management challenges and external macroeconomic factors. Based on the results, the study provides several strategic recommendations to improve financial performance. First, optimization of cost management is necessary to reduce operational inefficiencies that directly affect profit margins. Second, the implementation of foreign exchange risk mitigation strategies, such as hedging, is suggested to minimize the negative impacts of currency fluctuations. Finally, to strengthen revenue growth, the company is encouraged to adopt and expand digital marketing initiatives as a means of improving sales performance and market penetration. Overall, this study emphasizes the importance of integrating financial control with strategic innovation to ensure long-term sustainability and competitiveness in the pharmaceutical industry.

This research seeks to examine the impact of inflation and exchange rates on the Jakarta Composite Index (JCI) on the Indonesia Stock Exchange (IDX) from 2019 to 2024. The study uses secondary monthly data for inflation, exchange rates, and the JCI, which were sourced from the official websites of Bank Indonesia and IDX. A quantitative approach is employed, utilizing multiple linear regression analysis along with classical assumption tests and both simultaneous and partial hypothesis testing. The findings reveal that, individually, both inflation and exchange rates have a significant effect on the JCI. When analyzed together, inflation and exchange rates also significantly influence the JCI. These results underscore the importance of macroeconomic stability, particularly the stability of the rupiah exchange rate, in shaping stock market trends in Indonesia. The study suggests that fluctuations in the inflation rate and the exchange rate can lead to uncertainty in the stock market, impacting investor decisions and market performance. These findings are particularly relevant in the context of Indonesia’s open economy, where external factors and global economic conditions can also influence domestic financial markets. This research aims to offer valuable insights to investors, policymakers, and academics, helping them understand how key macroeconomic variables, such as inflation and exchange rates, influence the dynamics of the capital market. The study emphasizes the need for maintaining economic stability to foster a conducive environment for market growth and investor confidence. By analyzing these macroeconomic factors, the study provides a clearer understanding of their role in stock market performance and offers a foundation for future research and policy development in the Indonesian financial market. Additionally, the results of this research could serve as a basis for further studies that explore the relationship between macroeconomic factors and stock market behavior in emerging markets.

Indonesia’s Islamic capital market has experienced remarkable growth in recent years, evidenced by the increasing number of investors and the rising market capitalization of Sharia-compliant stocks. This article aims to analyze the performance and management strategies of Sharia stock portfolios by reviewing academic literature published in Indonesia between 2019 and 2024. Utilizing a literature review methodology, the study compares the return and risk characteristics of Sharia stocks with those of conventional stocks. It also evaluates the applicability and effectiveness of classical portfolio theories—namely, the Markowitz Model and the Single Index Model—in managing Sharia-compliant investments. The findings reveal that Sharia stock portfolios often perform competitively and tend to exhibit greater resilience and stability during financial crises. This resilience is attributed in part to the rigorous stock screening mechanisms that comply with Islamic principles, excluding sectors and companies that do not meet Sharia criteria. Additionally, various macroeconomic factors such as inflation, interest rates, exchange rates, and global economic fluctuations are found to impact the performance of Islamic stock portfolios. The article highlights that while Sharia investments align with ethical and religious values, they also offer practical advantages in risk management and diversification. Furthermore, digital technology and fintech innovation are seen as essential tools to enhance transparency, accessibility, and investor engagement in the Islamic capital market. The study concludes that the development of Sharia-compliant stock investments in Indonesia holds promising potential, especially if accompanied by improved financial literacy, inclusive investor education, and stronger technological infrastructure. This paper offers valuable insights for policymakers, market regulators, and investors interested in promoting sustainable and faith-based financial practices within Indonesia’s rapidly evolving capital market ecosystem.

This study investigates the monetary transmission mechanisms influencing inflation and exchange rates across seven Southeast Asian countries (Myanmar, the Philippines, Indonesia, Malaysia, Singapore, Thailand, and Vietnam) over the period 2010–2023, with special focus on the impact of the COVID-19 pandemic. The research addresses the problem of macroeconomic instability, particularly the volatility in inflation and currency values during crisis periods, and aims to identify the dominant monetary factors affecting these indicators. The study employs a mixed quantitative approach using Structural Vector Autoregression (SVAR), Panel Autoregressive Distributed Lag (ARDL), and Paired Sample t-Test to analyze the short-term and long-term relationships among key variables: Gross Domestic Product (GDP), investment, money supply (M2), interest rates, inflation, and exchange rates. Findings reveal that GDP is the most influential factor impacting both inflation and exchange rates, followed by money supply and interest rates. The variance decomposition analysis confirms that these monetary variables significantly explain macroeconomic fluctuations in both pre- and post-pandemic contexts. The t-Test further indicates statistically significant changes in inflation and exchange rates before and after the pandemic, highlighting the disruptive effect of COVID-19 on economic stability. The results demonstrate that inflation declined significantly in most countries during the pandemic, while exchange rate behavior varied depending on economic resilience and policy responsiveness. The study concludes that maintaining macroeconomic stability requires not only monetary policy coordination but also effective public health crisis management. This research contributes to the regional policy discourse by offering empirical insights and evidence-based recommendations to strengthen economic resilience in Southeast Asia.

This study aims to analyze the impact of the Russian invasion of Ukraine on February 24, 2022, on the Indonesian capital market, particularly on the stocks listed in the LQ45 index, as well as on exchange rates and cryptocurrency trading volumes. The research employs a quantitative approach using an event study method, focusing on a 15-day observation window—comprising 7 days before, the day of, and 7 days after the invasion event. The variables analyzed include abnormal return (AR), trading volume activity (TVA), exchange rates, and cryptocurrency transaction volume. The research sample consists of issuers listed in the LQ45 index and the three largest cryptocurrencies by market capitalization—Bitcoin, Ethereum, and Tether (USDT)—selected through purposive sampling. The findings indicate that the Russian invasion of Ukraine had a significant impact on abnormal returns and trading volume activity of LQ45 stocks, as well as on exchange rates and cryptocurrency trading volumes. This geopolitical event emerged as an external factor contributing to market uncertainty, prompting investors to adjust their investment strategies in both stock markets and digital assets. These findings confirm that global conflicts are closely linked to the dynamics of domestic financial markets.

In recent years, both global and domestic economic uncertainties have increasingly influenced the movement of Indonesia’s JCI and GDP. This study aims to examine how various factors including news sentiment, exchange rates, and interest rates affect the JCI as a proxy for economic growth expectations, and GDP as a reflection of actual economic growth. Using quarterly data from 2016 to 2024, the analysis is conducted through the Auto Regressive Distributed Lag (ARDL) model to identify both short-term and long-term effects. The results show that these variables collectively have a significant impact on both the JCI and GDP. In the short term, the JCI is found to respond more quickly to changes in information and policy, reinforcing its role as a leading indicator. In contrast, GDP responds more slowly, with exchange rates and the BI interest rate showing a significant influence in the long term. These findings highlight that economic information and policies may affect the financial market and the real economy differently, underscoring the importance of understanding expectation dynamics in assessing the direction of Indonesia’s economic growth.

This study aims to analyze the comparison of solvency levels and claim payment abilities between two general insurance companies in Indonesia, PT Asuransi Dayin Mitra Tbk (ASDM) and PT Asuransi Jasa Tania Tbk (ASJT), considering the macroeconomic conditions in 2023. The methods used are qualitative and quantitative comparative analyses based on the audited financial statements and annual reports of both companies, as well as a review of macroeconomic data from official sources. The findings indicate that ASDM and ASJT managed to achieve positive performance despite economic challenges, with ASJT recording higher growth in premiums and net income. Both companies maintained solvency ratios above regulatory thresholds and controlled claims ratios. Business strategy adaptation, sound governance, and effective risk management contributed to these achievements. Macroeconomic factors such as inflation, interest rates, and exchange rates were found to influence the performance of both companies, with varying levels of sensitivity depending on their market segment focus. These findings provide valuable insights into the dynamics of the insurance business in Indonesia and highlight opportunities and challenges that industry stakeholders need to anticipate..

This study aims to analyze the causal relationship between interest rates, exchange rates, and inflation in Indonesia during the period 1994–2023 using the Vector Error Correction Model (VECM) approach. The data used are monthly time series secondary data obtained from the World Bank. The Johansen cointegration test results indicate a long-term relationship among the three variables. However, the Granger causality test finds no significant short-term causal relationship. The VECM estimation reveals that inflation is the most responsive variable in correcting long-term disequilibrium, while the exchange rate plays a dominant role in influencing both inflation and interest rates. The Impulse Response Function and Variance Decomposition results indicate that these variables interact dynamically, especially in the medium to long term. These findings highlight the importance of exchange rate stabilization and enhancing the effectiveness of monetary policy to maintain macroeconomic stability in Indonesia.

This study aims to analyze the impact of the monetary and fiscal policy mix on Indonesia's economic growth during the COVID-19 pandemic in the period 2013-2023. Using the Simultaneous Regression method (Two-Stage Least Squares/2SLS), this study tests two simultaneous equations, namely the effect of exports, unemployment rate, and inflation on economic growth (GDP), as well as the effect of exchange rates (exchange rates), interest rates, and GDP on inflation. The results of the study indicate that exports and unemployment have a significant negative effect on economic growth, while inflation has a significant positive effect on GDP. Meanwhile, the exchange rate and interest rate have a significant effect on inflation, but GDP does not have a significant effect on inflation. The normality test shows that the data is normally distributed and the autocorrelation test does not detect any autocorrelation, so the model used is valid. The effectiveness of monetary policy through the exchange rate channel on economic growth was found to be positive, although not statistically significant. This finding emphasizes the importance of coordination between fiscal and monetary policies, maintaining exchange rate stability, controlling inflation, and efforts to restore the real sector and reduce unemployment to support sustainable economic growth in Indonesia. This study provides recommendations for the government and monetary authorities to strengthen policy synergy in facing economic challenges, especially during times of crisis, to ensure more effective national economic stability and recovery.

Global economic issues have significantly impacted national economic progress in recent decades, especially for developing countries such as Indonesia.  Currency exchange rates are one of the main variables that influence this economic process.  The performance of a country's external sector is largely determined by the exchange rate, which also affects a number of other macroeconomic factors.  The purpose of this study is to see how much Indonesia's economic growth is affected by the exchange rate between 1980 and 2023. Data from government agencies including the Central Bureau of Statistics and Bank Indonesia are used in this quantitative approach using a literature study approach.  The findings show that changes in the value of the rupiah, especially when depreciation occurs, have a significant influence on a number of economic factors, such as imports, exports, inflation, domestic investment, and consumption.  The competitiveness of Indonesian export goods in the global market increases with the depreciation of the exchange rate. At the same time, however, it also leads to higher prices for imported goods, increases the burden of foreign debt, and depresses people's purchasing power and domestic investment activity. The last five years of data reflect the fluctuating pattern of Indonesia's international trade, which is closely related to exchange rate conditions and global economic dynamics. Exchange rate instability creates economic uncertainty, which can hamper long-term growth. Therefore, stabilizing the exchange rate and strengthening the export sector are important strategies, supported by monetary and fiscal policies that are adaptive to global changes.

In today’s global economy, accurately predicting foreign exchange rates or estimating their trends correctly is crucial for informed investment decisions. Despite the success of standalone models like ARIMA and deep learning models like LSTM, challenges persist in capturing both linear and nonlinear dynamics in highly volatile exchange rate environments. Motivated by the limitations of these individual models and the need for more robust forecasting tools, this study proposes a hybrid ARIMA-LSTM model that integrates ARIMA’s strength in modeling linear trends with LSTM’s capability to capture nonlinear dependencies, using historical USD/NGN exchange rate data from the Central Bank of Nigeria (CBN) spanning 2001 to 2024. The research hypothesis posits that the hybrid ARIMA-LSTM model will significantly outperform standalone models in forecasting accuracy. By comparing these models against state-of-the-art approaches, the study highlights the advantages of hybridizing statistical and deep learning methods. The findings demonstrate that the hybrid model achieved the lowest Root Mean Squared Error (RMSE) of 2.216 and the highest R² of 0.998, indicating superior forecasting performance. This study fills a critical research gap by demonstrating the effectiveness of hybrid deep learning in financial time series forecasting, providing valuable insights for investors, policymakers, and financial analysts. Future research will extend this work by incorporating the latest dataset and evaluating model robustness during the recent surge in the Naira/Dollar exchange rate from 2023 to 2024.

Pineapple is one of Indonesia's top three fruit commodities in terms of production volume. In 2022, Indonesia became the world's largest pineapple producer. Pineapple production in Indonesia has fluctuated but has generally shown an increasing and stable trend from 2013 to 2023, with expectations of continued growth. This study aims to analyze the influence of production, the wholesale price index, exchange rates, and export prices on Indonesia's pineapple export volume from 2013 to 2023. This research utilizes secondary time-series data on a quarterly basis, analyzed using multiple linear regression and classical assumption tests. The results indicate that production, the wholesale price index, exchange rates, and export prices simultaneously influence Indonesia's pineapple export volume. Partially, production and exchange rates have a positive but statistically insignificant effect on export volume, while the wholesale price index and export prices have a negative yet statistically significant impact. These findings highlight the importance of policies that can reduce production costs to enhance the competitiveness of Indonesian pineapples in the international market. Through synergy between the government, exporters, and farmers, it is expected that Indonesia's pineapple exports will continue to grow sustainably.

This research focuses on exchange rate fluctuations in Indonesia during the period of 2005 to 2023, influenced by various economic factors, primarily monetary policy and international trade dynamics. Exchange rate instability is a major concern because it can impact the national economy, including export competitiveness and macroeconomic stability. Consequently, the purpose of this research is to dissect the relationship between interest rates, export values, and wide money as it pertains to currency swings.  This study takes a quantitative approach by analyzing the relationship between the dependent and independent variables via multiple linear regression.  World Bank, International Monetary Fund, and Statistics Indonesia yearly time series data from 2005 to 2023 is used.  The findings show that broad money, interest rates, and export values significantly impact the swings in the Indonesian currency.  According to the findings of the multiple linear regression analysis, Interest rates and broad money have a positive and statistically significant effect on changes in exchange rates, but export values have a negative and statistically significant effect. The implications of this research emphasize the importance of appropriate interest rate policies and balanced broad money management to maintain exchange rate stability. Future researchers are advised to include global variables and more complex analysis methods.

This study aims to analyze the effect of the inflation rate on the number of Wismanto Indonesia Via Air Gateway. The data used covers the period from January 2017 to September 2024, focusing on the relationship between inflation as a macroeconomic factor and the number of tourists visiting Indonesia. The data analysis used in this study is regression analysis, supported by descriptive analysis of each variable. The regression analysis results show that the inflation rate has a significant positive effect on the number of international tourist arrivals. The regression coefficient of 156,266 indicates that every 1% increase in inflation has the potential to increase the number of international tourists by 156,266 individuals. The significance value of 0.000 indicates that this relationship is statistically significant at the 95% confidence level. These findings provide an understanding that although inflation is often associated with rising prices of goods and services, in the context of Indonesian tourism, inflation can be linked to other factors, such as exchange rate fluctuations, which increase Indonesia's appeal as a tourist destination. This study recommends that the government and stakeholders in the tourism sector consider the impact of inflation in tourism development strategies, while maintaining economic stability and international competitiveness. Further studies are recommended to explore other mediating variables, such as exchange rates and tourism promotion policies, in order to understand this relationship more comprehensively.