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All Journal Journal of Research in Social Science and Humanities Asian Journal of Management Analytics Indonesian Journal of Interdisciplinary Research in Science and Technology (MARCOPOLO)
Hutapia, Hutapia
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Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Analysis Of The Impact Of Telecommunications Infrastructure And Goods Expenditure On Gross Domestic Product ( Period 2000-2023) Sihotang, Jhon Daniel Kasih; Hutapia, Hutapia
Journal of Research in Social Science and Humanities Vol 4, No 1 (2024)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v4i1.106

Abstract

This research aims to analyze the influence of telecommunications infrastructure and government spending on goods on gross domestic product (GDP) in Indonesia in the period 2000-2023. The analysis method used is linear regression. The dependent variable for this research is the Gross Domestic Product (GDP); the independent variables are the number of broadband network users, cell phone users, and goods expenditure. The results of the research show that cell phone use and shopping for goods have a positive and significant effect on gross domestic product in Indonesia, while the broadband network user variable does not have a significant effect on gross domestic product. This research provides new insight into the importance of digital economic integration and telecommunications infrastructure development as supporting factors for gross domestic product (GDP) development.
Growth Dynamics: a Comparative Analysis Between Indonesia and the United States Insyiraah, Haggi; Hutapia, Hutapia
Indonesian Journal of Interdisciplinary Research in Science and Technology Vol. 2 No. 12 (2024): December 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/marcopolo.v2i12.12868

Abstract

This study aims to identify the discriminant factors that distinguish the Gross Domestic Product (GDP) between Indonesia and the United States. Using discriminant analysis method, this study explores the economic variables that contribute to the difference in economic performance of the two countries. The main focus of this analysis is to determine the extent to which variables such as per capita income, exports of goods and services, exports of ICT goods, unemployment with continuing education, manufacturing exports, government spending on education can predict and differentiate the GDP of the two countries. The results showed that there are four significant variables that distinguish the Gross Domestic Product (GDP) between Indonesia and the United States. These variables are national income per capita, export of Information and Communication Technology (ICT) goods, export of manufactured goods, and expenditure on education. Therefore, the government can focus on these variables in order to improve the economy in indonesia.
The influence of the Human Development Index (HDI), GDP Per Capita and Open Unemployment Rate to Poverty in Regencies/Cities of Aceh Province in 2017 – 2022 Albani, Muhammad Iqbal; Hutapia, Hutapia
Asian Journal of Management Analytics Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v4i1.13779

Abstract

This study aims to analyze the effect of Human Development Index (HDI), Gross Regional Domestic Product (GRDP) per capita, and Open Unemployment Rate (TPT) on poverty in Regencies/Cities in Aceh Province in the period 2017-2022. The data used are panel data from 23 regencies/cities in Aceh obtained from the Central Statistics Agency (BPS). The analysis method used is panel data regression with the Fixed Effect Model (FEM). The results of the study show that HDI has a negative and significant effect on poverty, while GRDP per capita has a significant positive effect. TPT also does not show a significant effect on poverty. Overall, these variables explain 98% of the variation in poverty in Aceh, HDI is the main factor influencing poverty reduction with a coefficient value of -0.99182. This study suggests that local governments focus on improving the quality of human resources to reduce poverty in Aceh.
Co-Authors Albani, Muhammad Iqbal Insyiraah, Haggi Sihotang, Jhon Daniel Kasih