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All Journal Madani: Multidisciplinary Scientific Journal
Panjaitan, Rizky Rafiza
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Journal : Madani: Multidisciplinary Scientific Journal

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Analisis Faktor yang Mempengaruhi Angka Melek Huruf di Indonesia Dengan Regresi Robust Pratiwi, Indy; Triono, Wira; Panjaitan, Rizky Rafiza; Rambe, Risa Rozzaqi; Dalimunthe, Syairal Fahmy
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 2 (2025): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15073386

Abstract

This study aims to analyze the factors that affect literacy rates in Indonesia using a robust regression approach. The data used included data from 34 provinces, focusing on the dependent variables, namely the literacy rate and the independent variables, namely the average length of schooling, the number of teachers, out-of-school children, PDRB per capita, and the number of poor people. The results of the analysis show the equation Y ?=97.7766-0.41220PCA1-0.2886PCA2-0.000002x_4. where PCA1 = a combination of X1 and X2 and PCA2 = a combination of X2 and X5. Every 1 unit increase in PCA1 will reduce the literacy rate by about 0.4120 or 41.2%, an increase of 1 unit of PCA2 will reduce the literacy rate by about 0.2886 or 28.86%, while in x_4 it only affects about 0.00022%. The number of children who do not attend school, children who drop out of school and the number of poor people can significantly increase the illiteracy rate. Efforts that can be made by the government are to facilitate education so that all groups can access education and educate the public that education is very important and will be the foundation of the nation and state in the future..
Analisis Autokorelasi Spasial: Studi Kasus Pembangunan Sekolah dan Kepadatan Penduduk di Wilayah Sumatera Utara Hondro, Yizhar Saputra; Triono, Wira; Panjaitan, Rizky Rafiza
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 3 (2025): April 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15152625

Abstract

This study uses a quantitative approach that examines the development of schools, especially elementary schools, towards population density in the North Sumatra region using the Moran's I and LISA methods. Defining spatial autocorrelation as the relationship between the closest spatial units as seen on the map, and based on the results of the analysis, 4 regions were obtained for the number of residents that significantly influenced autocorrelation, including Deli Serdang (p-value = 0.0004), Karo (p-value = 0.0086), Medan (p-value = 0.00001), and Binjai (p-value = 0.0028). In addition, for the number of elementary schools, 7 regions were obtained that significantly influenced autocorrelation, namely Batu Bara (0.0371), Deli Serdang (p-value = 0.0003), Karo (p-value = 0.0006), Binjai (p-value = 0.0015), Medan (p-value = 0.0009), Pematangsiantar (p-value = 0.0279), and Sedang Berdagai (p-value = 0.0310). These regions have p-values less than 0.05 so it can be concluded that these regions significantly influence spatial autocorrelation.
Co-Authors Hondro, Yizhar Saputra Pratiwi, Indy Rambe, Risa Rozzaqi Syairal Fahmy Dalimunthe Triono, Wira