Purpose: The purpose of this research is to identify the manufacturing industry's strategy for accelerating economic growth in Indonesia. The descriptive qualitative technique was used in this study. Theoretical Framework: The source of data used is secondary data obtained through literature review or literary research. The manufacturing industry has accounted for 20.27% of ASEN's national economy. Design/Methodology/Approach: A qualitative technique was used in this research. The source of data used is secondary data obtained through literature review or literary research. Findings: The manufacturing industry strategy materializes to accelerate Indonesia's economic development, implementing an industrial strategy 4.0, i.e. a planet to establish the Digital Industry Center of Indonesia. Research Practical and Social Implications: The manufacturing industry's strategy to accelerate Indonesia's economic growth is embodied with the implementation of an Industrial 4.0 strategy, i.e. a planet for the implementation of the Indonesia Digital Industry Center 4.0 (PIDI 4.0). Originality/Value: The data collected are secondary data obtained from the literature, journals, newspapers and the Central Statistical Agency (BPS). According to the necessary data, the GDP growth rate of manufacturing industry has occurred in the period 2017-2021.
Purpose: This study aims to analyse the effect of inflation, the human development index, and the provincial minimum wage on unemployment in Indonesia and also analyse the effect of Gross Regional Domestic Product, provincial minimum wage, investment, inflation, and population on provincial youth unemployment in Java and Sulawesi in 2011–2019. Method: The research objective is to determine the effect of inflation and the realization of APBD spending on unemployment in the city of Manado. The type of research used by the author is a quantitative descriptive research type, and the type of data used is secondary data obtained from BPS Manado City and North Sulawesi Province BPS. In this study using the Multiple Regression analysis model. The method used is panel data regression, with data from 33 provinces in Indonesia in 2015-2018. Results and conclusion: The results of this study indicate that inflation has a negative but not significant effect and the realization of APBD spending has a negative and significant effect on the unemployment rate. The government has been good at using its APBD spending so that the increase in realized spending can reduce the unemployment rate in Manado City. Research implications: The large number of open unemployment has broad social implications because those who do not work do not have income. Unemployment is a problem faced by almost all regions, Manado City, which is the capital of the province, is not immune from this unemployment problem. Originality/value: Multicollinearity testing of the study aims to test whether the regression model found a correlation between the independent variables.
Purpose: This study aims to determine the effect of population, Human Development Index and Gross Regional Domestic Product on the number of poor people in Minahasa District Theoretical Framework: The data used in this study uses secondary data sourced from the Central Bureau of Statistics for North Sulawesi Province in 2011-2021. This type of research is quantitative research. Design/Methodology/Approach: The analysis technique used in this study is panel data regression analysis. Findings: The results showed that population, Human Development Index, and Gross Regional Domestic Product have an effect on the number of poor people. The population number and Human Development Index variables have a positive and significant effect on the number of poor people. The Gross Regional Domestic Product variable has a negative and significant effect on the population Research Practical and Social Implications: The Gross Regional Domestic Product variable has a negative and significant effect on the population. Originality/Value: Partially the population has a positive and significant effect on the numberpoor people in Minahasa, North Minahasa, South Minahasa,Southeast Minahasa in 2012-2021.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.