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The Effect of MSME Credit and Government AID on MSME Growth and Reduction of Poverty Rate in the City of Balikpapan Siwi Tri Wijayanti; Aji Sofyan Effendi; Diana Lestari
International Journal of Economics and Management Sciences Vol. 1 No. 3 (2024): August : International Journal of Economics and Management Sciences
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijems.v1i3.126

Abstract

The aim of this research is to determine the effect of MSME credit and government assistance on MSME growth and reducing poverty rates in Balikpapan City. The analytical tool used is path analysis. Path analysis is an analytical method used in research to test the influence of independent variables on dependent variables, including indirect influences through mediating intervening variables. This method is more complex than ordinary regression analysis and requires in-depth understanding. The analysis application used in this research is the SPSS v25 application. The results of research on the provision of banking credit on the growth of MSMEs in Balikpapan City have a positive and significant effect. It can be concluded that banking in Balikpapan City can grow and develop MSMEs in Balikpapan City. Providing Bank Credit to Poverty Alleviation has no direct and insignificant effect, this means that the contribution of providing credit cannot necessarily reduce the poverty rate in Balikpapan City. The Balikpapan City Government's assistance for the growth of MSMEs is positive and significant, this means that the assistance is very effective in directly developing the growth of MSMEs in Balikpapan City. Balikpapan City Government's assistance to the poverty level in Balikpapan City is negative and significant. It can be concluded that the Balikpapan City Government's policy instrument by providing assistance to MSMEs will be able to reduce the poverty rate in Balikpapan City. It can be concluded that the growth of MSMEs in Balikpapan City has a negative effect on reducing the poverty rate, meaning that the more MSMEs grow, the poverty rate will decrease.
North Kalimantan Base Sector Analysis Gross Regional Domestic Product Approach Dewi Ratna Lestari; Michael Michael; Aji Sofyan Effendi
MENAWAN : Jurnal Riset dan Publikasi Ilmu Ekonomi Vol. 3 No. 2 (2025): Maret : MENAWAN: Jurnal Riset dan Publikasi Ilmu Ekonomi
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/menawan.v3i2.1269

Abstract

The purpose of this study is to find out which sectors are the leading sectors in North Kalimantan Province in 2017 – 2021, What economic sectors have fast growth rates in shifting economic sectors in North Kalimantan Province in 2017 – 2021, Which economic sectors have the power strong competitiveness in shifting economic sectors in North Kalimantan Province in 2017 - 2021. What economic sectors are included in the criteria as prime, potential, developing and underdeveloped sectors in North Kalimantan Province in 2017 - 2021. Quantitative analysis methods used in processing this data is Location quotient (LQ), Shift Share, Growth Ratio Model (MRP) and Overlay Analysis processed using Microsoft Office Excel. The results of the study show that the economic sectors which are categorized as basic sectors in North Kalimantan Province in 2017 – 2021 are the Agriculture, Forestry and Fisheries sectors; Mining and excavation; Construction; Transportation and Warehousing; Administration of Government, Defense and mandatory social security; Education Services.
Analisis Faktor-Faktor Yang Mempengaruhi Pertumbuhan Investasi Di Kabupaten Kutai Timur Dengan Variabel Kebijakan Pemberian Izin Sebagai Variabel Mediasi Suhartini, Suhartini; Aji Sofyan Effendi; Diana Lestari
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 6: Oktober 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i6.12043

Abstract

This study aims to analyze the effect of economic growth rate, credit distribution, infrastructure expenditure, and regional budget (APBD) on the number of investment permits issued and the total investment value. The analytical method employed is Partial Least Square (PLS) using secondary data processed through statistical software. The findings show that the research model demonstrates strong explanatory power, with R-square values of 0.872 for investment permits and 0.604 for investment value, both categorized as strong. The Q-square results indicate high predictive relevance, while the SRMR test confirms excellent model fit. Multicollinearity analysis shows no serious disturbances, allowing valid interpretation of inter-variable relationships. Direct effect testing reveals that economic growth rate and credit distribution have a significant positive impact on the number of investment permits, whereas infrastructure expenditure shows a significant negative effect. On the other hand, regional budget allocation has a significant positive impact on investment value. Indirect effect analysis confirms that the number of investment permits mediates the influence of economic growth, credit, and infrastructure expenditure on investment value. Overall, the results emphasize that strengthening economic growth and optimizing the regional budget are dominant factors in encouraging investment realization, both in terms of permits and investment value.
Pengaruh Dana Bagi Hasil, Pertumbuhan Ekonomi, Tingkat Pengangguran, Dan Investasi PMDN, Investasi PMA Terhadap Tingkat Kemiskinan Di Kabupaten Mahakam Ulu Indira Reisia Angun; Eny Rochaida; Aji Sofyan Effendi
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 6: Oktober 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i6.12097

Abstract

This study examines the impact of Revenue Sharing Funds (DBH), economic growth, the open unemployment rate, Domestic Investment (PMDN), and Foreign Investment (PMA) on poverty levels in Mahakam Ulu Regency. The research uses secondary data obtained from the Central Bureau of Statistics (BPS) and related institutions for the 2014–2024 period. The analytical method applied is multiple linear regression using IBM SPSS version 29. The findings show that the independent variables DBH, economic growth, unemployment, PMDN, and PMA do not have a statistically significant effect on poverty levels in the region. Instead, poverty in Mahakam Ulu appears to be shaped more by structural, geographical, and social factors. These include limited accessibility due to regional isolation, inadequate infrastructure, high logistics costs, low human resource quality, and economic dependence on the primary sector. The study concludes that conventional macroeconomic indicators and financial inflows are insufficient to capture the complexities of poverty in Mahakam Ulu. To reduce poverty effectively, strategies should prioritize infrastructure development to overcome geographic barriers, enhance human capital through education and training, and encourage diversification of the local economy beyond extractive industries. Such an integrated approach is expected to create more sustainable poverty alleviation outcomes.