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All Journal Jurnal Sistem Informasi, Akuntansi dan Manajemen Outline Journal of Economic Studies
Batubara, Ade Andriani
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Pengaruh Pajak dan Retribusi Daerah Terhadap Pendapatan Asli Daerah Kota Medan Batubara, Ade Andriani; Rahayu, Fitri; Manik, Lastiara; Anggraini, Rika
Jurnal Sistem Informasi, Akuntansi dan Manajemen Vol. 3 No. 3 (2023): SINTAMA: Jurnal Sistem Informasi, Akuntansi, dan Manajemen (Sept 2023)
Publisher : Asosiasi Dosen Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54951/sintama.v3i3.667

Abstract

Regional taxes and levies are mandatory contributions paid by the community to the government. Therefore, this study aims to see how regional taxes and levies affect the Regional Original Income (PAD) of Medan City. This type of research is quantitative research using the classical assumption test analysis method and multiple linear regression. The type of data used is secondary data obtained from the official DJPK website. The data used are regional taxes (X1), regional levies (X2), and Regional Original Income (Y) with the observation year 2018-2022. The results of the study show that regional taxes have a positive and significant effect on the Regional Original Income of Medan City with a Prob. value of 0.0149 <0.05. While regional levies have a positive but not significant effect on the Regional Original Income of Medan City
Analysis of the Effect of Foreign Debt on Indonesia's Economic Growth (2017-2021) Batubara, Ade Andriani; Aisyah Ameilia; Cut Aliyyah; Fadila Nisa; Andri Hasmawi
Outline Journal of Economic Studies Vol. 2 No. 1: October - March 2023
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/ojes.v2i1.30

Abstract

This study aims to analyze the effect of foreign debt on Indonesia's economic growth in 2017-2021. The data used are time series data and secondary data was obtained through the official websites of BPS and BI. GDP data at constant prices reflecting Indonesia's economic growth obtained through BPS is used as the dependent variable. Meanwhile, foreign debt data obtained through BI is used as an independent variable. The research method used is a simple linear regression method with Ordinary Least Square (OLS) and the classical assumption test to ensure that the research model obtained is not biased. The results of the study showed that foreign debt has a positive and significant influence on Indonesia's economic growth with a Prob. value of 0.0290 < 0.05. The R-squared value of 0.838482 indicated that 83.8482% of Indonesia's economic growth can be explained through variations in the value of foreign debt. While the remaining 17.1518% are other variables not included in this study.
Analysis of Factors Affecting the Number of Poor People in South Tapanuli Regency, North Sumatra 2010-2022 Batubara, Ade Andriani; Haddad Alwi
Outline Journal of Economic Studies Vol. 3 No. 1: October - March 2024
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/ojes.v3i1.69

Abstract

This study aims to look at the factors that influence the number of poor people in South Tapanuli Regency. The data used is secondary data obtained through the Central Bureau of Statistics for North Sumatra Province. The data taken is the number of poor people (Y), the Human Development Index (X1), the total population (X2), and life expectancy (X3) with the observation year 2010-2022. The analytical model used in this study is multiple linear regression. The results of the analysis show that the Human Development Index (X1) and life expectancy (X3) have a negative and significant effect on the number of poor people in South Tapanuli Regency. While the population has a positive but not significant effect on the number of poor people in South Tapanuli Regency. The acquisition of an R-squared value of 0.855797 indicates that the Human Development Index (X1), population (X2), and life expectancy (X3) can simultaneously explain the poverty variable in Kab. South Tapanuli in 2010-2022 amounted to 85.5797% while the remaining 14.4203% is explained by other variables not included in this study.
Co-Authors Aisyah Ameilia Andri Hasmawi Cut Aliyyah Fadila Nisa Fitri Rahayu Haddad Alwi Manik, Lastiara Rika Anggraini