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Determinan Indeks Pembangunan Manusia Di Wilayah Pesisir Aceh Bagian Barat Adrisa Auldri; Syarifah Azzahra; Rangga Permana Putra; Asnidar Asnidar; Ahmad Ridha
SANTRI : Jurnal Ekonomi dan Keuangan Islam Vol. 2 No. 1 (2024): Februari : SANTRI : Jurnal Ekonomi dan Keuangan Islam
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/santri.v2i1.184

Abstract

Aceh Province has 23 districts/cities with a Human Development Index level similar to the national Human Development Index. Several districts/cities in Aceh Province have a Human Development Index below the national Human Development Index. This research aims to analyze the Human Development Index and the factors that influence it in the western part of the Aceh coastal region for 2010-2022. This research is quantitative. The variables used in this research are the Human Development Index, Economic Growth, Poverty Level, and Gini Index. The panel data method is used for analysis through cross-data from 7 districts/cities in the western Aceh coastal region and time series data for 2010-2022. The results of this research show that Economic Growth has a negative and significant effect on the Human Development Index, Poverty Level has a positive and insignificant effect on the Human Development Index, and the Gini Index has a positive and significant effect on the Human Development Index in the western Aceh coastal region for the 2010-2022 period.
Analisis Pengaruh Infrastruktur terhadap Pertumbuhan Ekonomi di Aceh Adrisa Auldri; Rinaldi Syahputra; Yani Rizal
Jurnal Ilmiah Manajemen dan Kewirausahaan Vol. 3 No. 3 (2024): September: Jurnal Ilmiah Manajemen dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jimak.v4i1.5421

Abstract

This study aims to analyze the effect of infrastructure on economic growth in Aceh. The method used in this study is quantitative, and the data will be analyzed according to the required model. Data processing is carried out using multiple linear regression, and the classical assumption tests that must be performed include the Normality Test to ensure data distribution, the Multicollinearity Test to detect correlations between independent variables, the Heteroscedasticity Test to examine residual variance, and the Autocorrelation Test to evaluate the existence of correlations between errors in the model. Eviews12 software is used, which allows for comprehensive modeling of the relationship between infrastructure variables and economic growth. The data source used is secondary data obtained from historical records found in published archives. The findings of the study reveal that road infrastructure has an insignificant negative impact on economic growth, indicating that high-quality road infrastructure improvement and maintenance are key to building an effective transportation system and supporting sustainable economic growth. Conversely, educational infrastructure has a significant positive effect on economic growth, confirming the crucial role of education in driving economic growth. On the other hand, health infrastructure has a negative but significant impact on economic growth, playing a crucial role not only from a social perspective but also in promoting economic development and community welfare. Based on regression analysis, the R2 - Squared (R2) value was recorded at 0.775876. This indicates that the independent variables can explain 77.58% of economic growth in Aceh, while the remaining 22.42% is explained by other variables not included in this study. Therefore, further research is needed to identify other variables that also contribute significantly to economic growth in Aceh.