This study aims to analyze the potential of the region in utilizing the demographic bonus in Aceh Tamiang Regency. The data used in this study is the PDRB data of Aceh Tamiang Regency and Aceh Province in 2019-2023. The data analysis method uses location question (LQ) and shift share analysis. Based on the results of the LQ analysis, it is known that there are 4 (four) business fields that can become leading sectors in Aceh Tamiang Regency and at the same time are the economic base for further development, namely the agriculture, forestry, and fisheries sectors; mining and quarrying; processing industry; and other services. Meanwhile, based on the shift share analysis, it can be seen that the sectors that have a positive impact on the utilization of the demographic bonus in Aceh Tamiang Regency are the wholesale and retail trade sector, car and motorcycle repairs. In addition to providing a good contribution to the utilization of the demographic bonus in Aceh Tamiang Regency and can increase the PDRB of Aceh Province.

This study aims to determine the effect of government spending in the education, health and infrastructure sectors on economic growth and HDI in Aceh Tamiang Regency. The data used are time series data for the period 2014-2023. The data analysis method uses path analysis. The results of the study indicate that government spending in the education, health and infrastructure sectors directly has a positive and insignificant effect on economic growth in Aceh Tamiang Regency. Directly, government spending in the education sector has a negative and insignificant effect on HDI in Aceh Tamiang Regency. Meanwhile, government spending in the health sector, infrastructure sector and economic growth directly have a positive and significant effect on HDI in Aceh Tamiang Regency. Indirectly, government spending in the education sector through economic growth has a negative and insignificant effect on HDI in Aceh Tamiang Regency. Meanwhile, government spending in the health sector, infrastructure sector through economic growth indirectly has a positive and significant effect on HDI in Aceh Tamiang Regency. The coefficient of determination value of 0.9998 indicates that 99.98% of the information contained in the data can be explained by the model, while the remaining 0.02% is explained by other variables outside the model, such as poverty, unemployment, population and other variables.

Penelitian ini bertujuan untuk Untuk mengetahui pengaruh infrastruktur jalan terhadap pertumbuhan ekonomi, pengaruh infrastruktur listrik terhadap pertumbuhan ekonomi dan pengaruh infrastruktur jalan dan listrik terhadap pertumbuhan ekonomi di Indonesia. Jenis penelitian ini menggunaan penelitian kuantitatif. enelitian ini menggunakan data sekunder. Data sekunder yaitu data yang diperoleh dalam bentuk jadi dan telah diolah oleh pihak lainnya yang biasanya dalam bentuk publikasi. Jenis data yang digunakan berupa data Time Series (runtun waktu). Sumber data diperoleh dari Badan Pusat Statistik (BPS). Metode yang digunakan dalam penelitian ini adalah Regresi Linier Berganda. Berdasarkan penelitian yang telah dilakukan mengenai pengaruh infrastruktur terhadap pertumbuhan ekonomi di Provinsi Aceh, dalam penelitian dapat menarik kesimpulan bahwa Variabel infrastruktur jalan yang terdapat nilai probabilitasnya yaitu sebesar 0.1804 > 0.05 sehinngga dapat disimpulkan bahwa infrastruktur jalan tidak berpengaruh terhadap pertumbuhan ekonomi. Variabel infrastruktur listrik yang terdapat nilai probabilitasnya yaitu sebesar 0.0220 < 0.05 sehinngga dapat disimpulkan bahwa infrastruktur listrik berpengaruh terhadap pertumbuhan ekonomi
 
Kata kunci: Pusat Pertumbuhan Ekonomi, Infrastruktur Jalan, Infrastruktur Listrik

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 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.