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.

 
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.

In this study, problems can be found with low activity and student learning outcomes because students still do not understand learning and do not participate in learning. As for the solution to overcome these problems, researchers used a combination of PBL, TPS and CRH models. With the aim of this research to know the activities of students and teachers and improve student learning outcomes. This study uses a type of Classroom Action Research (CAR) with a qualitative approach, in this study conducted for 4 meetings. The research subjects were fifth grade students who were at Sungai Miai 8 Elementary School Banjarmasin with 18 students. The results of this study showed that there was an increase in teacher activity from meeting I reaching a score of 64 in the "Good" category and at meeting IV reaching a score of 97 with the "Very Good" category. Student activity at meeting I reached a score of 57 with the category "Quite Active" there was an increase in meeting IV reaching a score of 84 with the category "Very Active". Likewise, the learning outcomes in both the cognitive domain increased to 94%, while the affective and psychomotor domains increased to 100%.