ANALISIS REGRESI DATA PANEL GENERALIZED LINEAR MIXED MODEL (GLMM) : Studi Kasus Angka Kemiskinan Kabupaten/Kota di Jawa Barat

    Aisyah Fiddiyah Ayu Utami, - (2023) ANALISIS REGRESI DATA PANEL GENERALIZED LINEAR MIXED MODEL (GLMM) : Studi Kasus Angka Kemiskinan Kabupaten/Kota di Jawa Barat. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Analis regresi data panel adalah analisis regresi dengan struktur data yang digunakan berupa data panel, yaitu gabungan dari data deret waktu (time series) dan data silang (cross section). Dalam model regresi data panel apabila data diasumsikan tidak normal dan terjadi autokorelasi, maka regresi data panel menggunakan Generalized Linear Mixed Models (GLMM). GLMM dikembangkan dari Generalized Linear Model (GLM), pada GLMM terdapat efek tetap dan efek acak. Kemiskinan adalah keadaan ketidakmampuan seseorang untuk memenuhi kebutuhan dasar, seperti makan, tempat berlindung, sandang, pendidikan, dan kesehatan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi Angka Kemiskinan di Jawa Barat menggunakan analisis regresi data panel GLMM. Hasil analisis menunjukkan bahwa GLMM dapat digunakan untuk menganalisis Angka Kemiskinan di Jawa Barat. Variabel Laju Pertumbuhan Penduduk, Rata-rata Lama Sekolah, PDRB dan Tingkat Pengangguran Terbuka berpengaruh signifikan terhadap Angka Kemiskinan di Jawa Barat.
    Panel data regression analysis is a regression analysis method that utilizes panel data structure, which combines time series data and cross-sectional data. In panel data regression models, when the data is assumed to be non-normal and exhibits autocorrelation, Generalized Linear Mixed Models (GLMM) are employed. GLMM is an extension of the Generalized Linear Model (GLM) and incorporates both fixed effects and random effects. Poverty is the state of inability for an individual to fulfill basic needs such as food, shelter, clothing, education, and healthcare. This research aims to analyze the factors influencing the Poverty Rate in West Java using panel data regression analysis with GLMM. The results of the analysis indicate that GLMM can be employed to analyze the Poverty Rate in West Java. The variables of Population Growth Rate, Average Length of Schooling, Gross Regional Domestic Product (GRDP), and Open Unemployment Rate significantly influence the Poverty Rate in West Java.

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    Official URL: http://repository.upi.edu
    Item Type: Thesis (S1)
    Additional Information: ID SINTA Dosen Pembimbing BAMBANG AVIP PRIATNA MARTADIPUTRA: 6124136
    Uncontrolled Keywords: Analisis Regresi, Data Panel, Autokorelasi, GLMM, Angka Kemiskinan, Regression Analysis, Panel Data, Autocorrelation, GLMM, Poverty Rate
    Subjects: H Social Sciences > HN Social history and conditions. Social problems. Social reform
    Q Science > QA Mathematics
    Divisions: Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Matematika - S1 > Program Studi Matematika (non kependidikan)
    Depositing User: Aisyah Fiddiyah Ayu Utami
    Date Deposited: 04 Sep 2023 16:32
    Last Modified: 04 Sep 2023 16:32
    URI: http://repository.upi.edu/id/eprint/100075

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