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All Journal Informatika Ekonomi Bisnis Manajemen dan Akuntansi (EBMA)
Maulana, Rajendra Kimi
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Library & Information Science Other

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Analisis Faktor-Faktor Yang Mempengaruhi Ketimpangan Pendapatan di Provinsi Yogyakarta Ningsih, Rizka Wahyu; Salma, Salma; Rabbani, Naufal; Maulana, Rajendra Kimi; Desmawan, Deris
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5820

Abstract

The focus of this research, which utilizes panel data, is to understand the dynamics of income inequality in the DI Yogyakarta region from 2014 to 2023. This study aims to identify the variables that influence income inequality. The results of the study indicate that the average length of schooling has an impact on income inequality. On the other hand, factors such as the Human Development Index, Provincial Minimum Wage, and Open Unemployment Rate are proven to have no significant effect on the issue of income inequality in the research area. Income inequality is a critical issue that hinders development in many countries, including Indonesia.
Analisis Pengaruh Tenaga Kerja dan PDB Terhadap Sektor Industri Manufaktur di Indonesia Tahun 2015-2020 Nurfatimah, Siti; Yunani, Yunani; Dewi, Suci Mulya; Maulana, Rajendra Kimi; Desmawan, Deris
Ekonomi Bisnis Manajemen dan Akuntansi (EBMA) Vol 5, No 2: 2024
Publisher : LPPM Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/ebma.v5i2.6593

Abstract

This research aims to analyse whether labour and Gross Domestic Product (GDP) have a positive influence on the manufacturing industry sector in Indonesia during the 2015-2020 period. The study utilises secondary data obtained from official publications by Statistics Indonesia (BPS), with the scope focusing on annual data. The approach used is a numerical method involving multiple linear regression analysis, where the predictor variables consist of labor and GDP, while the dependent variable is the manufacturing industry. The findings of the research indicate that, individually, there is a notable impact of labor on the manufacturing sector whereas GDP has no significant influence on the manufacturing industry. Overall, the independent variables studied were able to explain most of the variation in the performance of the manufacturing industry sector, although other influencing factors remain. These results carry significant consequences for decision-makers in formulating strategiesto maximize the contribution of labor and economic growth to the manufacturing industry.
Co-Authors Desmawan, Deris Dewi, Suci Mulya Ningsih, Rizka Wahyu Nurfatimah, Siti Rabbani, Naufal Salma Salma Yunani Yunani, Yunani