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All Journal Jurnal Istiqro' Journal of Nusantara Economic Science
Roni Yanto
Akuntansi, Universitas Ibrahimy, Indonesia
Economics, Econometrics & Finance Social Sciences Other

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Pengaruh Proporsi Perempuan Terhadap Lapangan Kerja Di Indonesia Hendrarto Widodo; Roni Yanto
Journal of Nusantara Economic Science Vol 1 No 1 (2023): Journal of Nusantara Economic Science (JNES)
Publisher : PT NAFATIMAH GRESIK PUSTAKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (219.216 KB)

Abstract

Penelitian ini bertujuan untuk menguji pengaruh proporsi perempuan terhadap lapangan kerja di Indonesia. Data yang digunakan dalam penelitian ini adalah data sekunder dari Badan Pusat Statistik (BPS) pada periode 2021. Sampel dalam penelitian ini adalah 34 provinsi di Indonesia. Metode analisis data yang digunakan adalah regresi sederhana. Hasil penelitian menunjukkan bahwa proporsi perempuan berpengaruh signifikan positif terhadap lapangan kerja di Indonesia. Hal ini menunjukkan bahwa semakin tinggi proporsi perempuan dalam populasi suatu wilayah, maka semakin besar kesempatan kerja yang tersedia di wilayah tersebut. Penelitian ini memiliki implikasi penting dalam upaya meningkatkan kesempatan kerja bagi perempuan di Indonesia. Oleh karena itu, perlu adanya kebijakan yang dapat meningkatkan partisipasi perempuan dalam berbagai sektor, termasuk sektor formal dan informal.
IDENTIFIKASI BI RATE, INDEKS HARGA SAHAM KOMPOSIT (IHSG), UANG BEREDAR TERHADAP INFLASI DI INDONESIA Khalid Fauzi Aziz; Roni Yanto
Jurnal Istiqro Vol. 9 No. 2 (2023): Juli 2023
Publisher : Institut Agama Islam Darussalam Blokagung Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30739/istiqro.v9i2.2002

Abstract

This study aims to identify the effect of the BI Rate, the composite stock price index (IHSG), and the money supply on inflation in Indonesia. The research method used for data analysis is the assumption of normality error, multicollinearity assumption, non-autocorrelation assumption, homoscedasticity assumption, multiple linear regression and t test. The type of research used in this research is descriptive quantitative. So that the results of the analysis will be explained according to the data analysis technique used. The results of the determinant coefficient test obtained a value of r which is a reflection of the BI Rate, JCI and Money Supply variables, which are able to explain or explain the inflation variable of 75.23%, the remaining 24.77% is explained by other variables. Based on the results of the t test, it was found that the BI Rate alone significantly affected inflation in the data series from 2005 to 2022. Meanwhile, the JCI and money supply did not significantly affect inflation in the data series from 2005 to 2022. It can be said that not all variables are always significant according to the hypothesis, and the number of years of research also affects it.
Co-Authors Hendrarto Widodo Khalid Fauzi Aziz