This study aims to determine and analyze the Level of Education, Economic Growth, and Population Density on Quality of Life in Aceh, using a descriptive-quantitative approach in the form of time series data, for 5 years in the form of secondary data selected from the total of Aceh Province. The model used in this study is a multiple linear regression analysis model (Multiple Linear Regression) based on the OLS (Ordinary Least Square) method. Simultaneously, the F test shows that the three independent variables together have a significant effect on quality of life, with a calculated F value = 85.495, sig. = 0.000, and F table = 2.70. The coefficient of determination shows a value of R Square = 0.728, which means that 72.8% of the variation in quality of life can be explained by education level, economic growth and population density, while the rest is influenced by other variables outside the model.

This study aims to analyze the effect of income inequality, human development index, and minimum wage on poverty in Aceh Province. It uses secondary data in the form of time series for the period 2009-2023, published by the Central Statistics Agency (BPS) of Aceh Province. The data analysis method employs multiple regression analysis using Eviews 10 software. The results show that income inequality has a negative and insignificant effect on poverty in Aceh Province. Furthermore, the human development index (HDI) has a negative and significant effect on poverty in Aceh Province. Meanwhile, the minimum wage has a positive and insignificant effect on poverty in Aceh Province. Simultaneously, income inequality, the human development index (HDI), and the minimum wage significantly affect poverty in Aceh Province.

Economic growth in Aceh Province is an important issue that shows regional development through the increase in goods and services produced. Based on data from the Central Statistics Agency (BPS), Aceh's economic growth only reached an average of 3.88% in 2018, far below the national average of 5.01%, which reflects challenges in resource utilization. Inflation in Aceh has experienced significant fluctuations between 1.53% and 8.09% from 2019 to 2023, which has the potential to hinder economic growth. Government expenditure also plays a crucial role in driving growth, where during the 2019-2023 period, the average development budget reached Rp 12.96 trillion, but the budget realization was only around Rp 12.29 trillion. This shows that despite large expenditures, the impact on economic growth has not been significant. In the theory of economic growth, there are various views on the factors that affect growth. Classical theory emphasizes the role of capital, labor, and technology, while Schumpeter's theory highlights innovation as the main key to growth. Inflation can serve as a barrier or driver, depending on economic conditions, while government spending is expected to stimulate economic growth through an increase in aggregate demand. This study uses inferential statistics to analyze the influence of inflation and government spending on Aceh's economic growth during the 2015-2023 period. The results of the analysis show that government spending has a positive and significant influence on economic growth, while inflation does not show a significant influence.

According to the Indonesian Statistics Agency (BPS), economic growth in 2023 is estimated to remain strong in the range of 5.05% (yoy), this economic growth is better compared to the last two years considering that the government continues to optimize the recovery period from Covid-19. According to Sadono Sukirno (in Puspitasari et al., 2024) one of the policies to accelerate the development process is to increase government savings, the savings rate Economic growth can be interpreted as a process of increasing the value of output per capita in the long term. The purpose of this study is to determine the effect of Tax Revenue, Foreign Investment (PMA), Domestic Investment (PMDN) on economic growth in Indonesia. This study uses a quantitative approach using time series data sourced from the Central Statistics Agency of Indonesia (BPS) for 2014-2023. The data analysis technique uses multiple regression analysis using the E-views 10 program. The results of the study determine that tax revenue has a significant effect on economic growth in Indonesia, foreign capital revenue (PMA) has a negative and insignificant effect on economic growth, while domestic capital revenue (PMDN) has a positive and significant effect on economic growth.

Riau Province is one of the largest contributors to GRDP in Indonesia with several leading sectors. This study aims to determine the leading sectors or base and non-base sectors in Riau Province. The data used in this study are secondary data obtained from the Riau Province Central Bureau of Statistics (BPS). The data was processed and analysed using the Location Quotient (LQ) analysis method. The results of Location Quotient (LQ) analysis show that there are 3 basic sectors or leading sectors in Riau Province for the 2018-2022 period. It is known that there are 3 basic sectors or leading sectors in Riau Province, the 3 sectors are the Agriculture, Forestry and Fisheries sector, the Mining and Quarrying sector, and the Manufacturing Industry sector with LQ analysis values of 2.15, 2.23, and 1.52, respectively. While the other 14 sectors are non-base sectors. For this reason, the government must better understand what sectors need to be improved and the need for cooperation from many parties so that these leading sectors can be maintained and further developed in the following year.

 
Abstract. This research aims to analyze the influence of social assistance spending and subsidy spending on poverty in North Sumatra Province. The independent variables in this research include social assistance spending and subsidy spending, while the dependent variable is poverty. The data used comes from the North Sumatra Central Statistics Agency for the 2009-2023 period, which includes data on social assistance spending, subsidy spending and the depth of poverty. The data analysis method used is multiple linear regression. The results of this research show that social assistance spending has a positive but not significant influence on poverty, while subsidy spending has a positive and significant influence on poverty. Government spending policies in the form of subsidies and social assistance still require evaluation to increase their effectiveness in reducing poverty.

This study analyzes the impact of international tourist arrivals and their spending on the occupancy rate of star-rated hotels in Indonesia from 2009 to 2023. Using a quantitative approach with multiple linear regression, the study examines the relationship between two independent variables nternational tourist arrivals and average tourist spending and the dependent variable, which is the occupancy rate of star-rated hotels. Data for this research were sourced from the Central Statistics Agency (BPS), the Ministry of Tourism, and Bank Indonesia. The analysis results show that the number of international tourist arrivals does not significantly affect the occupancy rate of star-rated hotels. However, average tourist spending has a significant negative effect, indicating that tourists with higher spending tend to choose higher-star hotels. The simultaneous F test reveals that both variables jointly have a significant effect on hotel occupancy rates. The coefficient of determination (R²) of 45.52% indicates that both independent variables can explain the variation in the occupancy rate of star-rated hotels. Based on these findings, it is recommended that the government and tourism industry stakeholders focus on promoting destinations that attract high-spending tourists and improving the quality of star-rated hotel accommodations to meet the preferences of international tourists.

This research aims to determine the effect of education and minimum wages on poverty in Aceh province. This research uses secondary data, namely those obtained from the Central Statistics Agency of Aceh Province. The method used in this research is a quantitative method using multiple linear analysis. The research results show that partially the education variable has a negative and significant influence on poverty in Aceh province, while the Minimum Wage variable has a positive and insignificant influence on poverty in Aceh Province. Simultaneously, the variables education and minimum wage together have a significant effect on poverty in Aceh Province.

This research aims to determine the influence of Income, Poor Population, Education, and Life Expectancy on Food Security in Langsa City, both partially and simultaneously in 2013-2022. This type of research is quantitative with the research location in Langsa City. This research uses time series secondary data obtained from the Langsa City Central Statistics Agency (BPS). This research uses data processing techniques using multiple linear regression analysis methods through the Eviews 10 program. The results of this research explain that partially the Poor Population has a positive and insignificant effect on Food Security and Life Expectancy has a negative and significant effect on food security in Langsa City. Education has a positive and significant effect on Food Security and Income has a negative and significant effect on Food Security in Langsa City. Meanwhile, simultaneously Income, Poor Population, Education, and Life Expectancy at Birth have a significant effect on Food Security in Langsa City.

Penelitian ini bertujuan untuk mengetahui pengaruh belanja modal belanja bantuan sosial dan pertumbuhan ekonomi terhadap tingkat kemiskinan di Kabupaten Langkat. Data yang digunakan dalam penelitian ini adalah data sekunder yang berasal dari Badan Pusat Statistik (BPS) periode 2012-2021. Metode analisis yang digunakan dalam penelitian ini adalah metode analisis regresi linear berganda dengan program eviews 10. Hasil penelitian menunjukkan bahwa secara parsial variabel belanja bantuan sosial berpengaruh negatif dan tidak signifikan terhadap kemiskinan dan pertumbuhan ekonomi berpengaruh negatif dan signifikan terhadap kemiskinan. Kemudian secara simultan pengaruh belanja bantuan sosial dan pertumbuhan ekonomi berpengaruh secara positif dan signifikan terhadap kemiskinan di Kabupaten Langkat.