Gross Domestic Product In Indonesia Research Articles

Short-Term and Long-Term Effects of the Islamic Bank Financing in Construction Sector on GDP in Indonesia

Research on the role of Islamic banks on economic growth has been widely conducted. However, it focuses on total Islamic Bank Financing (IBF) rather than on sector-specific Islamic financing. This research addresses the gap by examining the short-term and long-term influence of Islamic bank financing in the construction sector on the Gross Domestic Product (GDP) in Indonesia. This research uses a quantitative approach, using the Conditional Error Correction Model (CECM) analysis method. Secondary data used in this research are from the first semester of 2006 to the first semester of 2023 and are taken and processed from related official institutions such as Bank Indonesia, the Central Statistics Agency, and the Financial Services Authority. In the autoregressive distributive lag (ARDL) model in the construction sector, IBF’s short-term impact on GDP is positive but insignificant, while the long-term effect is significantly positive.

Analysis Of The Impact Of Telecommunications Infrastructure And Goods Expenditure On Gross Domestic Product ( Period 2000-2023)

This research aims to analyze the influence of telecommunications infrastructure and government spending on goods on gross domestic product (GDP) in Indonesia in the period 2000-2023. The analysis method used is linear regression. The dependent variable for this research is the Gross Domestic Product (GDP); the independent variables are the number of broadband network users, cell phone users, and goods expenditure. The results of the research show that cell phone use and shopping for goods have a positive and significant effect on gross domestic product in Indonesia, while the broadband network user variable does not have a significant effect on gross domestic product. This research provides new insight into the importance of digital economic integration and telecommunications infrastructure development as supporting factors for gross domestic product (GDP) development.

The Implementation of Value Chain Holistic Model of Ulos Weaving Fabric Creative Industry

This research has a long-term goal to increase the income of stakeholders in the us weaving fabric industry in North Sumatra and the National Gross Domestic Product in Indonesia. The specific target to be achieved is to improve the concept of a value chain holistic model of the Ulos weaving fabric industry, which will soon be implemented. The methods used in achieving this goal are an experimental study by a value chain holistic model of the Ulos weaving fabric industry using the strength and opportunities strategy. Through a Focus Group Discussion involving MUSRENBANG, KOPERINDAG, City Government, Provincial Government, Ulos Weaving Fabric Manufacturers Group, Weaver Group, and Producers Cooperative, information and data will be collected, which will be grouped into Strengths, Weaknesses, Opportunities, and Threats information. The evaluation of data and information through a SWOT analysis shows the results that the proposed model is good and continues to implement a production and marketing strategy, where the establishment of a production cooperative will strengthen SMEs with a joint commitment of members and will facilitate the capital. The Association of SMEs was formed to produce quality production and standardized prices so as to be able to deal with internal competition properly, which will be able to support the Lake Toba tourist destination as a tourism activity in North Sumatera. Standing for marketing is also needed to support the construction of toll roads along the Lake Toba area through the tourist gateways of Medan and Silangit.

Comparison Methods of Machine Learning and Deep Learning to Forecast The GDP of Indonesia

The success of an economy can bring significant benefits to a country and its society. One way to measure economic growth is by looking at the value of gross domestic product (GDP). The value of a country's GDP is influenced by many factors, including inflation, exports, and imports. Therefore, predicting future economic growth requires forecasting the value of GDP. GDP forecasts are crucial as they provide information about the economic development of a country over a specific period of time. By forecasting GDP, governments and investors can make informed decisions to optimize profits or minimize risks when investing or doing business in a country. This research aims to forecast Indonesia's GDP for the second, third, and fourth quarters of 2023 using the best models from machine learning or deep learning methods. Forecasts are made for each method with and without additional variables. The results indicate that the SimpleRNN algorithm from deep learning without additional variables is the method with the smallest RMSE and MAPE for GDP forecasting. Therefore, the best method used to forecast GDP is the SimpleRNN algorithm, and the forecasted GDP values for Indonesia's second, third, and fourth quarters are 5.350.840,00, 5.483.895,00, and 5.610.077,50 billion rupiah.

Interaction analysis of sharia financial institution assets, sharia investment and exports on gross domestic product in Indonesia

IntroductionIn macroeconomics, one of the key indicators influencing a country's economic success is its economic growth. An essential factor in determining a nation's economic growth is the Gross Domestic Product (GDP).ObjectivesThis research aims to analyze the level of interaction between Islamic financial institutions, Sharia investments, and export activities in Indonesia, examining their impact on the Gross Domestic Product (GDP) over the short and long term, spanning the period 2017-2022.MethodThe study employs a quantitative research approach, specifically utilizing the Vector Error Correction Model (VECM) method.ResultsThe results of the Vector Error Correction Model (VECM) reveal two significant variables in the long term. The causality test results indicate a significant relationship between Indonesian exports and Sharia investment. The Variance Decomposition analysis reveals that Sharia Financial Institution Assets contribute 2.7 percent, followed by Sharia Investment at 0.3 percent, and Indonesian Exports at 0.03 percent to the variation in GDP.ImplicationsThis suggests that Indonesian exports significantly impact Sharia investment, and vice versa. However, concerning Gross Domestic Product (GDP), none of the variables exhibit significance. The development of income across various institutions and economic activities in Indonesia indicates a significant increase in the last three years.Originality/NoveltyThese findings provide valuable insights into the economic dynamics of Indonesia, offering a basis for further research and policymaking.

Faktor-Faktor yang Mempengaruhi Produk Domestik Bruto (PDB) di Indonesia

The purpose of this research is to determine how the influence of money supply, inflation and interest rates on gross domestic product in Indonesia. This research is a quantitative research with multiple linear regression models. The data from 2000 to 2022 with Gross Domestic Product (GDP) as the dependent variable and the Money Supply, Inflation and Interest Rates as independent variables. The results of this research is partially, the money supply and interest rates have a significant effect on gross domestic product, while inflation is not. Then, simultaneously (together), the three variables have a significant effect on Gross Domestic Product (GDP).

PENGARUH EKSPOR, INVESTASI, DAN INDEKS PEMBANGUNAN MANUSIA (IPM) TERHADAP PRODUK DOMESTIK BRUTO (PDB) DI INDONESIA

This research aims to determine the influence of Exports, Investment and the Human Development Index (HDI) on Gross Domestic Product (GDP) in Indonesia in 1993 - 2022. This research uses secondary data in the form of a time series for 30 years. This research uses the Autoregressive Distributed Lag (ARDL) test analysis method. The results of this research show that in the short term the export variable has a positive and significant effect, and in the long term exports has a positive and insignificant effect on GDP in Indonesia. In the short term, investment variables have a positive and significant effect, as well as in the long term, investment has a positive and significant effect on GDP in Indonesia. In the short term HDI has a negative and significant effect, and in the long term HDI has a negative and insignificant effect on GDP in Indonesia. It is hoped that the Government can increase GDP by improving people's welfare, so that it can have an impact on people's ability to carry out production which can ultimately be exported to other countries.

ANALISIS PENGARUH PENGELUARAN PEMERINTAH, PENANAMAN MODAL DALAM NEGERI, DAN PENANAMAN MODAL ASING TERHADAP PRODUK DOMESTIK BRUTO DI INDONESIA PERIODE 2000–2020

The aim of this research is to elucidate the influence of government expenditure, domestic investment, and foreign investment on the Gross Domestic Product (GDP) in Indonesia. This research employs an explanatory research type, utilizing a quantitative approach with secondary data. The focus of this research is the development of the Gross Domestic Product in Indonesia from 2000 to 2020. Linear multiple regression analysis is utilized for data analysis in this study. The result of the F-test indicates that government expenditure, domestic investment, and foreign investment collectively significantly affect Indonesia's Gross Domestic Product. Partially, government expenditure, domestic, and foreign investments have a positive impact on GDP; however, only government expenditure exerts a positive effect, while domestic and foreign investments have a negative influence. Based on these data analyses, the government should pay more attention to the realization of government expenditure to exert a more notable effect on the Gross Domestic Product, and also maintain the stability of investment, both domestic and foreign, to support future government planning with the available capital.

Pengaruh Indeks Harga Konsumen, Jumlah Uang Beredar, Produk Domestik Bruto, Suku Bunga, dan Neraca Pembayaran Terhadap Nilai Tukar Rupiah

This study aims to analyze the relationship between various assumed economic variables and exchange rate fluctuations of the Rupee against the US dollar. The variables considered include the logarithmic difference of the consumer price index of Indonesia and the United States, the logarithmic difference of the money supply of Indonesia and the United States, the logarithmic difference of the gross domestic product of Indonesia and the United States, the logarithmic difference of the Indonesian and US interest rates and the logarithm of the Indonesian balance of payments. The data analysis results show that only the difference between the logarithm of the gross domestic product of Indonesia and the US and the difference between the logarithm of the interest rates of Indonesia and the US have a significant influence on the change in the exchange rate of Indonesia rupiah. The R-squared of 61.6% shows that the observed variation in the dependent variable can be explained by the independent variables, while the remaining 38.4% is influenced by other factors. The conclusion of this study is that the difference in change in the logarithm of gross domestic product and the difference in the logarithm of interest rate have a significant impact on the volatility of the rupee exchange rate.

Looking at GDP from a Statistical Perspective: Spatio-Temporal GSTAR(1;1) Model

The gross domestic product (GDP) is a significant indicator for evaluating the performance of an economy. The GDP of a nation can be used to get a sense of the size and health of that nation's economy. Indonesia is the only nation from Southeast Asia to be represented in the G20. All G20’s countries play vital roles in creating the economic landscape of the region, the world, and everything in between. This research is focused on the increase of the GDP in Indonesia, Malaysia, Singapore, Thailand, and Brunei Darussalam. The spatial influence of GDP can be seen in the growth of each nation's infrastructure and industrial sector, for example. at the regional level, the increase of a country's GDP can also have an effect on the countries that are its neighbors. Using the GSTAR model, the aim of this study is to investigate the spatial and temporal influences on the GDP statistics of five different countries. The GSTAR model is distinguished by the presence of a weight matrix, which is one of its distinguishing features. In addition, the aim of this research is to select the most appropriate weight matrix for the purpose of representing the spatial effect on GDP statistics. Uniform, queen contiguity, and inverse distance weight matrices are the types of weight matrices that are utilized. Calculating each weight matrix, estimating relevant parameters, and performing diagnostic tests are the primary activities involved in this investigation. As a consequence of this, a weight matrix that is uniform in its distribution is the one that performs the best. The spatial and temporal correlations of GDP data may be accurately represented by the GSTAR model when it is equipped with a uniform weight matrix. This model is applied to five different countries.

Analysis of New Renewable Energy (EBT) Electricity on Green Economy in Indonesia and Influence Factors

Indonesia's electricity consumption reached 1,109 kilowatt hours (kWh) per capita in the third quarter of 2021. Power generation in Indonesia is dominated by the use of coal which has negative environmental impacts, one of which is carbon emissions (CO2) and extreme climate change. renewable energy, as a strategic option for mitigating environmental problems. This study examines the effect of renewable energy electricity on the green economy in Indonesia. The purpose of this study 1) To analyze the effect of renewable electricity, CO2 emissions, population, economic openness, foreign investment and coal consumption on green gross domestic product in Indonesia. 2) To analyze the effectiveness of government policies in developing renewable electric power in Indonesia. The method used in this study is the error correction model to determine the long-term and short-term effects between variables. The data used in this study is from 1990-2019. The results of the study found that the variables that affect the short and long term green economy in Indonesia are renewable electricity, carbon emissions, population, coal consumption and trade openness. Meanwhile, the variable that does not affect the short and long term green economy in Indonesia is foreign investment.

The Influence of Political Stability on Indonesia's Gross Domestic Product

The goal of this study is to examine how political stability impacts Indonesia's Gross Domestic Product (GDP). Political stability is a crucial factor in a country's economic development, because it can affect the investment climate, economic growth, and people's welfare. The Central Bureau of Statistics and other relevant organizations' secondary data were used as secondary data sources in this study's qualitative descriptive analysis of the literature. The data collected covers a specific relevant time period and includes indicators of political stability and GDP. The results of the analysis show that political stability has a significant influence on GDP in Indonesia. High political stability tends to create conditions conducive to sustainable economic growth. This is reflected in increased investment, expansion of the industrial sector, and increase in national income. In the Indonesian context, good political stability can increase investor confidence, both domestic and foreign, to invest in various economic sectors. In addition, political stability also provides legal certainty and consistent policies, which help create a favorable investment climate. The government needs to maintain political stability through actions that promote inclusive political participation, fair law enforcement, and consistent and transparent policies. These efforts will strengthen investor confidence, stimulate investment, and promote sustainable economic growth.

THE EFFECT OF GOVERNMENT SPENDING, DOMESTIC INVESTMENT AND FOREIGN DEBT ON GROSS DOMESTIC PRODUCT IN INDONESIA

This study aims to analyze the effect of government spending, domestic investment and foreign debt on gross domestic product in Indonesia. The independent variables in this study are Government Expenditure, Domestic Investment and Foreign Debt while the dependent variable is Gross Domestic Product. The data used in this research is secondary data for the period 1998-2021. The analytical model used in this study is the multiple linear regression model with the Ordinary Least Square (OLS) method. Based on the results of the study, it shows that government spending and foreign debt have a significant and significant effect on gross domestic product in Indonesia while domestic investment has no effect and is not significant on gross domestic product in Indonesia while simultaneously government spending, domestic investment and foreign debt jointly affect the gross domestic product in Indonesia. The test results for the coefficient of determination show that there is a relationship between the independent variables and the dependent variable in this study of 98.57%, which means that the other 01.42% is influenced by other variables outside of this study.

GROSS (GDP) IN INDONESIA

This study aims to analyze tea exports and imports of gross domestic product in Indonesia. The data used in this study is secondary data sourced from BPS, the research model uses multiple linear regression. The results of the study partially show that tea exports have a positive and significant effect on Indonesia's gross domestic product, tea imports have a negative and significant effect on gross domestic product in Indonesia. Taken together, tea exports and imports have a positive and significant effect on gross domestic product in Indonesia. The recommendation is that the government is expected to develop the existing tea export market. Producing Indonesian tea is not only for the domestic market, but also for exporting Indonesian tea products abroad.

The Effect of Circulating Funds, Time Deposit, Loans And Savings On Gross Domestic Product

Business activities in Indonesia are greatly influenced by the situation of the country. It can be seen that with the existence of Covid-19, the number of community loans for working capital, for business and for consumption has increased but decreased from 2017 to 2020. So that with a decreasing increase in the number of loans, it can be interpreted that the community's business business activities have decreased. With the decline in community business, funds for operational business activities are saved. So that deposits and savings are increasing from 2017 to 2020. Due to the decline in business business operations, it will result in a decrease in Gross Domestic Product from 2017 to 2020. However, the reality is that funds circulating in the community are increasing during the Covid-19 pandemic. After the covid-19 pandemic passed, the funds in circulation in 2022 decreased again. With this condition, the research is aimed at finding out whether there is an influence relationship between circulating funds, loans, deposits and savings on Gross Domestic Product in Indonesia.

Climate change over Indonesia and its impact on nutmeg production: An analysis under high‐resolution CORDEX‐CORE regional simulation framework

AbstractNutmeg is an important spice and contributes significantly to the gross domestic product of Indonesia. The study examines the impact of climate change on Indonesia and the production of nutmeg over Banda Neira Island. For this, the outputs from high‐resolution regional climate models under different representative concentration pathways (RCP2.6, RCP4.5 and RCP8.5), within the framework of Coupled Model Intercomparison Project 5/Coordinated Regional Climate Down‐scaling Experiment‐Coordinated Output for Regional Evaluations (CMIP5/CORDEX‐CORE) over southeast Asia domain are employed. The representation of the spatial structure of rainfall and temperature climatology is found to be much better in ensembles as compared to individual model experiments. The behaviour of simulated rainfall and temperature from the model experiments is examined to check whether the projected climate favours an increase in nutmeg production. The study found that projected changes in the number of wet days (ideal 100–160 wet days), heavy rainfall events, rising mean temperature above the optimum temperature range (25–26°C), increasing heatwave spells, and prolongation of the warm period led to an unfavourable climate for nutmeg production. Based on the analysis of dynamically produced (model simulated) climate variables, the study rejects the forecasted increase in nutmeg production using a statistical regression model due to the unfavourable climatic conditions that are likely to affect the growth, production and quality of nutmeg. The changing climate not only reduces regional agricultural production but also impacts the socio‐economic condition of the people of Indonesia. Therefore, the study emphasizes implementing stringent climate laws and policies at global, regional and local levels to curb greenhouse gas emissions and reduce the negative impact of climate change.

The Influence of Financial Literacy and Financial Inclusion on Saving and Investment Behaviour for Millennial Generation in DKI Jakarta

Background: In 2019, financial literacy level in Indonesia was only 38,03%, while the financial inclusion rate was 76,19%. Financial literacy and inclusion levels related to saving that are identical to the banking sector have the highest values, with 36,12% and 73,88%, while investment in capital market has the second lowest values, at 4,92% and 1,55%. However, the ratio of gross savings to gross domestic product in Indonesia was reported only at 31,01%, while several other Asian countries reached more than 40%. Objective: This study aims to measure the level of financial literacy and inclusion of millennial generations in DKI Jakarta. It analyses the influence of financial literacy and inclusion on saving and investment behaviour, the influence of financial literacy on financial inclusion, and the influence of saving behaviour on investment behaviour. Method: The data analysis used descriptive and SEM-PLS analyses. Results: The results show that the financial literacy rates and the average of inclusion rates of millennial generation in DKI Jakarta are 50% and 60% respectively. Financial literacy and inclusion have an influence on saving and investment behaviour. Also, financial literacy affects financial inclusion, while the saving behaviour does not influence investment behaviour. Conclusion: Financial literacy and inclusion have a positive and significant effect on saving behaviour and investment behaviour. Financial literacy also has a positive and significant effect on financial inclusion. However, saving behaviour does not have a significant effect on investment behaviour. Keywords: financial inclusion; financial literacy; investment behaviour; millennial generation; saving behaviour

The Effects of Frugal Innovation, Strength-Based Approach, and Social Media on The Longevity of Small Businesses in Jakarta in 2021

Small businesses are one of the largest supporting countries for the country's gross domestic product in Indonesia with a percentage of more than sixty percent. However, the ratio of entrepreneurship in Indonesia is still very small compared to neighboring countries with a value of three point forty-seven percent. The purpose of this study was to empirically examine the effect of frugal innovation on the longevity of small businesses in Jakarta in 2021, the effect of a strength-based approach on the longevity of small businesses in Jakarta in 2021, and the effect of social media on the longevity of small businesses. Small businesses in Jakarta in 2021. The sampling in this study used the non-probability sampling method and convenience sampling technique. The number of samples in this study were 200 respondents and the data was processed using the SmartPLS application, where the results showed a positive influence from frugal innovation on the longevity of small businesses in Jakarta in 2021, a positive influence from the strength-based approach on the longevity of small businesses. Small business in Jakarta in 2021, and a positive influence of social media on the longevity of small businesses in Jakarta in 2021.

The Effects of Frugal Innovation, Strength-Based Approach, and Social Media on The Longevity of Small Businesses in Jakarta in 2021

Small businesses are one of the largest supporting countries for the country's gross domestic product in Indonesia with a percentage of more than sixty percent. However, the ratio of entrepreneurship in Indonesia is still very small compared to neighboring countries with a value of three point forty-seven percent. The purpose of this study was to empirically examine the effect of frugal innovation on the longevity of small businesses in Jakarta in 2021, the effect of a strength-based approach on the longevity of small businesses in Jakarta in 2021, and the effect of social media on the longevity of small businesses. Small businesses in Jakarta in 2021. The sampling in this study used the non-probability sampling method and convenience sampling technique. The number of samples in this study were 200 respondents and the data was processed using the SmartPLS application, where the results showed a positive influence from frugal innovation on the longevity of small businesses in Jakarta in 2021, a positive influence from the strength-based approach on the longevity of small businesses. Small business in Jakarta in 2021, and a positive influence of social media on the longevity of small businesses in Jakarta in 2021.

Impact of Monetary Policy and Fiscal Policy on Gross Domestic Product in Indonesia

This study aims to determine which policies are effectively implemented between monetary policy and fiscal policy for Indonesia's gross domestic product. The data used is the annual Secondary time series data from 1990-2020. Research variables are estimated using a quantitative approach that is two Stage Least Square (TSLS) model. Policy is said to be more effective if the policy is able to affect the increase in gross domestic product higher than other policies. The ability of the policy to influence the increase in gross domestic product is indicated by the magnitude of the variable significance value of the policy. The results showed that the monetary policy represented by the variable amount of money in circulation amounted to 0.00 and fiscal policy represented by the variable government spending amounted to 0.07. So it can be concluded that monetary policy will be more effective in affecting gross domestic product compared to fiscal policy. Based on the values obtained, then confirm the findings of the Mundell-Fleming theory which states that a small open economy with a floating exchange rate system is more effective using monetary policy than fiscal policy. Keywords: Monetary Policy, Fiscal Policy, Two Stage Least Squares, Gross Domestic Product, Mundell Fleming.