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Pengaruh Indeks Pembangunan Manusia Dan Pertumbuhan Ekonomi Terhadap Kesempatan Kerja Di Kalimantan Tengah: The Influence of the Human Development Index and Economic Growth on Employment Opportunities in Central Kalimantan Harati, Rima
Anterior Jurnal Vol. 24 No. Special-1 (2025): Anterior Jurnal
Publisher : ​Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/anterior.v24iSpecial-1.11833

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh Indeks Pembangunan Manusia, Pertumbuhan Ekonomi Terhadap Kesempatan Kerja Di Kalimantan Tengah selama tahun 2013 – 2024 dengan menggunakan alat analisis regresi berganda dan uji asumsi klasik. Dari hasil analisis diperoleh hasil sebagai berikut bahwa variable Indeks pembangunan manusia tidak mempunyai pengaruh yang signifikan terhadap Kesempatan kerja sedangkan variable Pertumbuhan ekonomi mempunyai pengaruh yang signifikan terhadap Kesempatan kerja Di Kalimantan Tengah. Berdasarkan hasil uji asumsi klasik disimpulkan bahwa model regresi ini memenuhi asumsi normalitas, terjadi multikolinearitas pada model regresi ini, tidak terjadi gejala heteroskedastisitas pada model regresi yang digunakan, maka dapat disimpulkan bahwa pada model regresi tidak terjadi gejala atau masalah autokorelasi.
THE INFLUENCE OF DOMESTIC INVESTMENT AND THE HUMAN DEVELOPMENT INDEX ON EMPLOYMENT OPPORTUNITIES IN CENTRAL KALIMANTAN Harati, Rima
Multifinance Vol. 3 No. 3 (2026): Multifinance
Publisher : PT. Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/mfc.v3i3.529

Abstract

The purpose of this study is to analyze the influence of domestic investment and the Human Development Index on employment opportunities in Central Kalimantan. This study was conducted in Central Kalimantan over the period 2015-2025. The analytical tools used were multiple regression analysis and classical assumptions, processed using SPSS 25. The results of the multiple regression analysis indicate that domestic investment and the Human Development Index have a significant influence on employment opportunities in Central Kalimantan. The results of the classical assumptions indicate that this regression model meets the assumption of normality, that there is no multicollinearity in the regression model, that there are symptoms of heteroscedasticity in the regression model used, and that there are no symptoms or problems of autocorrelation in the regression model.
The Influence of Poverty on Economic Growth in Central Kalimantan Rima Harati
Al-Muhasabah: Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Vol. 1 No. 1 (2024): April
Publisher : PT Syamilah Literasi Islami

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Abstract

This research aims to analyze the influence of poverty variables on GRDP in Central Kalimantan using the 2015-2023 period. The analytical tools used are simple linear regression and classical assumption tests. The results of the analysis explain that the poverty variable is -0.645 which is greater than the error degree of 0.05 which explains that the poverty variable does not have a significant influence on economic growth in Central Kalimantan. From the results of the classical assumption test, it is explained that the normality test shows that the research data is normally distributed, there is no multicollinearity, there are no symptoms of heteroscedasticity. It is concluded that increasing or decreasing poverty will not have an impact on economic growth. This is because economic growth in Central Kalimantan is predominantly influenced by potential resources, adequate technology, and a workforce that increases every year with the development of the economic sector in Central Kalimantan.
Pengaruh Jumlah Penduduk dan Pertumbuhan Ekonomi terhadap Pendapatan Asli Daerah Kota Palangkaraya Rima Harati
Al-Muhasabah: Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Vol. 2 No. 2 (2025): August
Publisher : PT Syamilah Literasi Islami

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Abstract

The purpose of this study is to analyze the influence of population and economic growth on the original regional income (PAD) of Palangkaraya City. The dependent variables in this study are population and economic growth, while the independent variable is original regional income (PAD). The research period used is 2013-2024 in Palangkaraya City. The analytical tools used are multiple regression analysis and classical assumption tests. The results of the analysis indicate that population (X1) simultaneously has no significant effect on the increase in original regional income (PAD) of Palangkaraya City. Economic growth (X2) simultaneously has a significant effect on the increase in original regional income (PAD). Based on classical assumptions, the regression model meets the assumption of normality, multicollinearity is present, and there are no symptoms of heteroscedasticity in the regression model used. There are no symptoms or problems of autocorrelation in the regression model.
Pengaruh Jumlah Penduduk dan Upah Minimum Regional Terhadap Kriminalitas di Kota Palangkaraya Rima Harati
Jurnal Ilmiah Ekonomi dan Manajemen Indonesia Vol. 2 No. 1 (2026): JANUARI -JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/2vsjk405

Abstract

This study aims to analyze the influence of population size and regional minimum wage on crime in Palangkaraya City. The research location is Palangkaraya City, covering the period 2016-2025. The analytical tools used were multiple regression analysis and classical assumption testing using SPSS 22. The analysis concluded that population size and regional minimum wage do not significantly influence crime in Palangkaraya City. The classical assumption testing concluded that the regression model met the normality test, that there was no multicollinearity in the regression model used, that there were no symptoms of heteroscedasticity in the regression model used, and that there were no symptoms or problems of autocorrelation in this regression model