National industrial strength is formed through interdependence, interconnectedness and mutual support between upstream, downstream, supporting and related industries. Thus, the manufacturing industry can reduce dependence on imports of capital goods, intermediate inputs, raw materials, components and spare parts. Industrial clusters, such as the leather industry in Sidoarjo, consist of subsystems providing raw materials and the leather tanning industry, as well as supporting industries that are intensively interconnected. Overseas industrial cluster policies function as an effective structural organization in increasing industrial competitive advantage through comparative advantage. In this way, industrial clusters can increase competitiveness and create national industrial strength.

Edupreneurship, as a bridge between education and business, has emerged as an important topic in the digital era. The purpose of this research is to analyze the challenges and opportunities presented by entrepreneurship through a literature study. The challenges identified are fierce competition, digital access gaps, and the growing need for innovation. In addition, there has been a significant increase in the use of technology, such as online learning, digital platforms, and access to world markets. This study emphasizes the importance of creativity, capital investment, and technological adaptation in fostering entrepreneurship in the digital age.

This research aims to analyze the influence of export levels and unemployment on economic growth in Indonesia in the 2019-2023 period. Using secondary data from the Central Statistics Agency and Bank Indonesia as well as multiple linear regression analysis methods, the research results show that exports have a positive but not significant impact on economic growth, with a calculated t value of 2.328 and a significance value of 0.145. On the other hand, unemployment has a negative and significant effect on economic growth, with a calculated t value of 5.096 and a significance value of 0.036. The simultaneous test shows that these two variables together have a significant effect on economic growth, with a calculated F value of 20.871. This research concludes that although exports do not have a significant effect, reducing unemployment must be the main focus to support sustainable economic development in Indonesia.

This research aims to analyze the influence of exogenous variables on endogenous variables, namely investment and employment opportunities. This type of research is quantitative analysis using secondary data with a time series from 1993 to 2022 obtained from the Central Statistics Agency (BPS) of North Sumatra and Bank Indonesia (BI). The data analysis technique in this research uses a simple regression analysis model. The results of this research show that exogenous variables have a significant effect on endogenous variables in the equation model. The investment variable has a significant effect on the employment opportunity variable. For this reason, it is necessary to increase investment (PMA and PMDN), so that there is a coherent increase in employment opportunities. With increasing investment, job opportunities will expand.

Indonesia is a developing country and the economic development activities carried out aim to reduce existing economic problems. This is done through industrialization. Manufacturing Industry almost always gets the main priority in a developing country's development plans. Important challenges facing the Indonesian manufacturing industry sector include the possibility of disparities in the level of efficiency and productivity of each sub-sector of the Indonesian manufacturing industry.  Industrialization is one thing that can encourage GRDP and economic development. However, industrialization carried out in several regions has not been able to provide high, stable and sustainable economic growth as well as high economic resilience against various threats. The aim of this research is to find out more effective industrialization strategies in the economic structure in Indonesia. This research uses qualitative methods with a library research approach. The results of this research are that the manufacturing industry strategy in increasing the acceleration of Indonesia's economic growth is carried out by implementing industrial strategy 4.0. With support in the form of a systematic and well-integrated Industry 4.0 development platform for a unified ecosystem, it is hoped that collaboration can be created between stakeholders so that joint technical standards/platforms can be developed so that a domestic market that is competitive and independent can be created.

The purpose of this study is to determine the effect of zakat on poverty reduction in Indonesia. This study uses one dependent variable, namely poverty and one independent variable, zakat. The research method used is a quantitative method with a simple linear regression model. The data source used is secondary data obtained from the official BPS website, namely www.bps.go.id and BAZNAN www.baznas.go.id. Data analysis techniques use classical assumption tests (normality tests, multicollinearity tests, heteroscedasticity tests, and autocorrelation tests), T statistical tests, and linear regression tests. The results of this study indicate that zakat has a significant effect and has a negative effect on poverty in Indonesia, where zakat has an effect of 31.36% on poverty in Indonesia while the remaining 68.64% is explained by variables outside the model

His study aims to identify leading sectors that can enhance economic growth in Lamongan Regency from 2019 to 2023. Leading sectors are crucial as understanding their strengths can significantly contribute to economic growth in a region, which is expected to have a positive impact on social indicators for the community. This is a quantitative research utilizing secondary data obtained from the Central Statistics Agency (Badan Pusat Statistik) of Lamongan Regency and East Java Province. The data used consists of panel data covering a time series spanning 5 years. The methods employed include Location Quotient (LQ) analysis, Shift Share (SS) analysis, and Klassen Typology. The research findings indicate that agriculture, forestry, and fisheries are the primary sectors contributing the most to the Gross Regional Domestic Product (GRDP). These findings serve as the basis for developing policies aimed at accelerating regional economic growth

The development of loans on the P2P lending platform is currently experiencing very rapid progress. Many requests for these loans are received from various groups, from young people to old people. P2P lending is a technology-based loan service. Many things can affect the development of loans in P2P lending. One of them is making the P2P lending platform more accessible to consumers. The purpose of this study was to determine whether ease of access affects the intention to continue borrowing in P2P lending. The sampling technique used was purposive sampling. The type of data used was a survey. The number of samples collected was 70 micro-businesses in Sirimau District, Ambon City. The method used was a quantitative method. The instrument tests used were validity tests and reliability tests. The regression analysis used was simple regression, coefficient of determination, and hypothesis testing, namely the t-test. The results of this study indicate that the accessibility variable has a positive and significant effect on refinancing intentions in P2P lending.

This study examines the use of Bank Indonesia's monetary policy to control the money supply (JUB) and its impact on the unemployment rate in Indonesia. The objectives of this study are to: (1) evaluate Bank Indonesia's use of monetary policy to control money supply from 2014 to 2023; and (2) investigate how controlling money supply impacts the unemployment rate in Indonesia. The main focus of the study is to determine how effective Bank Indonesia's monetary policy is in managing JUB as a tool to reduce unemployment. Secondary data from the period 2014-2023 which includes data on unemployment rate and JUB were analyzed through simple regression analysis method and quantitative descriptive approach. The results of the analysis show that, with a correlation coefficient of 0.063 and an influence contribution of only 0.4%, there is a very weak and insignificant relationship between money supply and unemployment rate. According to the regression equation Y = 5.748 + 5.971X, every 1% increase in money supply will increase unemployment by 5.971. This finding suggests that Bank Indonesia's monetary policy in controlling the money supply.

This research aims to determine the influence of Debt to equity ratio and Net profit margin partially or simultaneously on stock returns at PT. HM Sampoerna Tbk for 15 years, namely from 2008-2022. This research variable consists of Debt to equity ratio (X1), Net profit margin (X2), and stock returns (Y). The data collection method uses the documentation method. The data analysis method uses multiple linear regression analysis. The results of the F test show that simultaneously the independent variables DER and NPM have a positive and significant effect on stock returns. The results of the t test show that partially: 1) Debt to equity ratio (DER) does not have a partially significant effect on partial stock returns at PT. HM Sampoerna Tbk. 2) Net profit margin (NPM) does not have a partially significant effect on partial stock returns at PT. HM Sampoerna Tbk.