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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 research was conducted to determine the extent of the impact of the workforce, electricity consumption, and clean water consumption on economic growth in Indonesia. The data in this study is secondary data obtained from the publications of the Central Bureau of Statistics  Indonesia for the years 2014-2019. This research uses the Ordinary Least Square (OLS). From the results of this Ordinary least Square analysis, it was found that the labor force variable does not affect economic growth. Meanwhile, the variables of electricity consumption and clean water consumption do affect economic growth. From the F-statistic probability result of 0.000000 < the significance level of 0.05, it can be concluded that together, these three variables affect economic growth. The three variables in this study simultaneously influence economic growth by 99.51%.

Tourism is one of the key sectors in driving regional economic growth. The potential of tourism attractions contributes to local community income and Regional Original Revenue (PAD) through tourism development. Central Tapanuli Regency has significant tourism potential that can be optimally managed to enhance PAD.This study aims to examine the extent to which the tourism sector contributes to increasing PAD and boosting the local economy in Central Tapanuli Regency. The research employs a quantitative approach using OLS regression analysis based on secondary data collected from the Central Bureau of Statistics of Central Tapanuli Regency from 2014 to 2023.The findings indicate a positive relationship between tourist visits, both domestic and international, and PAD. However, hotel occupancy rates show a negative correlation with PAD. Interestingly, this study highlights that hotel occupancy rates have a negative relationship with PAD. This finding suggests that the government needs to pay attention to factors affecting hotel occupancy rates, such as changing tourism trends and management leakage.The implementation of this research emphasizes the need for policy evaluation and enhanced supervision of hotel occupancy rates.

The purpose of this study was to examine the effect of fee-based income and foreign exchange fees on return on assets at Muamalat bank for the 2015-2020 period. There are two types of fee-based income studied, namely fee and commission income, and foreign exchange transaction service income. The sample is using Quarterly financial reports for the 2015-2020 period in this study. Multiple regression based on ordinary least squares (OLS). The results showed that the three types of fee-based income had a positive and significant effect on return on assets. However, total assets have no significant effect. Overall, the results suggest that banks should increase their fee-based income activities to improve profitability.

Directly or indirectly the covid-19 pandemic in Indonesia has an impact on the banking sector, especially in lending to the public and decreasing debtor credit  ollectability. The purpose of this study is to analyze the impact of the covid-19 pandemic on credit growth at PT. Bank Negara Indonesia Tbk using Pool Data in the monthly period starting from January 2018 to December 2022 with the Ordinary Least Squere (OLS) method through the approach of collectability failure, credit period, credit interest rate, inflation, business location, covid pandemic period, credit restructuring period, and GRDP in 9 business sectors. This study proves that credit growth at PT Bank Negara Indonesia is negatively and significantly influenced by  ollectability failure, credit period, credit.

The focus of this research is how exports, exchange rates, and inflation affect Indonesia's economic growth. For 30 secondary data, the Ordinary Least Square (OLS) model is used. The results showed that there was an insignificant positive relationship between exports and economic growth, and that increased export activity could have an insignificant positive effect on economic growth. In addition, the depreciation of the rupiah exchange rate increases the competitiveness of domestic products in the international market, so that the rupiah exchange rate against foreign currencies also has a significant impact on economic growth. However, the results of the study show that inflation also has a negative impact on economic growth. The economy can be disrupted by declining people's purchasing power, stunted investment, and high inflation.

Poverty is one of the fundamental problems that is of concern to the central government in any country, nationally and internationally. Indonesia is one of the countries that is still trapped in the problem of poverty which has not yet been completely resolved. This research aims to analyze the influence of open unemployment, government expenditure, human development index on the number of poor in Lampung Province. The research data used is secondary data from publications by the Lampung Province Central Statistics Agency. The independent variables in this research are the influence of Open Unemployment and the Human Development Index, while the dependent variable is the Number of Poor People. The analysis technique used is Multiple Regression Analysis with the Ordinary Least Square (OLS) Method. The research results show that Open Unemployment (TPT) research has a negative and insignificant effect on the number of poor people, education level (TP) has a negative and not significant effect on the number of poor people, the minimum wage (UMK) has a significant positive effect on the number of poor people, while the Human Development Index (HDI) has an insignificant negative effect on the number of poor people. The results of the F test, Open Unemployment, Government Expenditures and the Human Development Index have a simultaneous or equally significant positive effect on the Number of Poor People in Lampung Province.      

This research aims to analyze the influence of the labor force, inflation, unemployment and poverty on economic growth in Indonesia for the period (2014-2022). The variables used are Inflation as the dependent variable, Money Supply (JUB) and Interest Rates as the independent variables. The data used in this research is secondary data obtained from publications by the Indonesian Central Bureau of Statistics. The analytical method used is a multiple linear regression model or Ordinary Least Square (OLS). In processing the data, the author used the help of Eviews 10 software. Based on the estimation results, it was found that there is a relationship between Labor Force, Inflation, Unemployment and Poverty on economic growth in Indonesia and the variables Labor Force, Inflation, Unemployment and Poverty have a positive and significant effect on Economic Growth in Indonesia .      

This research aims to analyze the influence of the Money Supply (JUB) and interest rates on inflation in Indonesia in the 2014-2023 period. The variables used are Inflation as the dependent variable, Money Supply (JUB) and Interest Rates as the independent variables. The data used in this research is secondary data obtained from publications by the Indonesian Central Bureau of Statistics. The analytical method used is a multiple linear regression model or Ordinary Least Square (OLS). In processing the data, the author used the help of Eviews 10 software. Based on the estimation results, it was found that there is a relationship between the Money Supply and Inflation in Indonesia and the Interest Rate variable has a positive and significant effect on Inflation in Indonesia.