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Analisis Dampak Pertumbuhan Penduduk, Tingkat Pendidikan, Dan Tenaga Kerja Terhadap Pertumbuhan Ekonomi Di Kota Langsa Anggi Pratiwi; Ika Mulyani; Safuridar Safuridar; Puti Andiny
Akuntansi Vol. 2 No. 4 (2023): Desember: Jurnal Riset Ilmu Akuntansi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/akuntansi.v2i4.1414

Abstract

Development can be driven by the population as the subject of development itself, and economic growth will increase if the population has high quality productivity. This research aims to analyze the impact of population growth, occupational education levels and also the workforce in Langsa City. . In this research, the data used is panel time series data.. This research uses the Pearson correlation approach method using the SPSS version 23 application. The results of the research show that the Population Growth variable (X1) is negatively related to economic growth with a strong correlation level in Langsa City; the Education Level variable (X2) is negatively related to economic growth with a moderate level of correlation; and the labor variable (X3) is negatively related to economic growth with a weak correlation in Langsa City. However, it should be remembered that the influence of labor on economic growth can vary depending on the conditions and other factors that exist in an area.
Pengaruh Infrastruktur Terhadap Pertumbuhan Ekonomi Di Indonesia Laila Hasyim Tambun; Delin Sea; Muhammad Zulfikar; Puti Andiny; Safuridar Safuridar
Akuntansi Vol. 2 No. 4 (2023): Desember: Jurnal Riset Ilmu Akuntansi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/akuntansi.v2i4.1421

Abstract

The purpose of this paper is to determine the effect of roads on economic growth and to determine the effect of electricity on economic growth in Indonesia. This research uses Multiple Linear Regression analysis techniques. This type of research is quantitative descriptive. This type of data is secondary data. The results of this research show that road infrastructure has a probability value of 0.0858 > 0.05, so it can be concluded that road infrastructure has an influence but is not significant on Indonesia's economic growth. The probability value for electricity infrastructure is 0.0728 < 0.05, so it can be concluded that electricity infrastructure has an influence but is not significant on Indonesia's economic growth. This research uses data for 20 years, namely from 2003-2023.
Co-Authors Afrah Junita Agus Kurniawan Ahmad Ridha Ajeng Afrillia Adha Amelia Rizky Fahraini Anggi Pratiwi Anggun Syahri Ramadhaniah Asnidar Asnidar Asyura Bianca Yaumil Akhir Cut Dessina Delin Sea Desrini Ningsih Dewi Rosa Indah Dewi rosa indah Dewi Rosa Indah Dyta Noviesra Erika Miranda Fadillah Ika Mulyani Laila Hasyim Tambun Maulia Sari Merlindiana Gus Puja Sari Mika Ardila Mila Wardani Muhammad Zulfikar Nurjannah Nurjannah Nurlaila Hanum Nurlina Nurlina Nursani Adelida Pipit Mandasari Puja Silvia Putri Wisdayanti Ragel Yona Putri Rahmat Muliadi Pakpahan Rahmi Meutia Rahmi Meutia Rahmi Meutia Rahmi Meutia Renilda Rinaldi Syahputra Rinaldi Syaputra Safuridar Sri Asmaul Husnah Wahyuningsih, Puji Yani Rizal Yessi Tamba