CD Skripsi

Pemodelan rata-rata lama sekolah di indonesia menggunakan regresi nonparametrik campuran truncated spline dan kernel

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Indonesia faces challenges in improving the quality of education, one of which is indicated by variations in the average length of schooling between regions. This study aims to analyze the factors that influence the average length of schooling in Indonesia using a nonparametric mixed spline and kernel regression method. This approach is used to capture linear, nonlinear, and local relationships between socioeconomic and educational variables using data from the Central Statistics Agency (BPS) in 2023. The independent variables in this study consist of the percentage of poor population, school participation rate, and per capita expenditure as spline components, and the literacy rate and high school student-teacher ratio as kernel components. The kernel used is a Gaussian kernel to capture local patterns smoothly. The best model was obtained with one knot point for each spline variable and a kernel bandwidth of 3.5. The analysis results show that the model is able to explain 61.11% of the variation in the average length of schooling with a minimum Generalized Cross Validation (GCV) value of 0.014598. These findings suggest that mixed spline and kernel nonparametric regression is an effective approach to modeling the complex relationships between socioeconomic factors and education in Indonesia.
Keywords: average length of schooling, GCV, gaussian kernel, indonesia, nonparametric regression, truncated spline. 

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2103110748

Penerbit

Pekanbaru : Universitas Riau FMIPA Statistika., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2103110748

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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