CD Skripsi

Pemodelan Persentase Penduduk Miskin Di Indonesia Menggunakan Metode Geographically And Temporally Weighted Regression (Studi Kasus: Persentase Penduduk Miskin Di Indonesia Tahun 2020-2022)

---

Poverty is a problem that developing countries continue to address, one of which is Indonesia. Poverty in Indonesia can be influenced by several factors, so research needs to be carried out to find out the factors that influence poverty. This research aims to model the percentage of poor people in Indonesia and determine the factors that influence poverty in Indonesia in 2020-2022 using the method Geographically and Temporally Weighted Regression (GTWR). By using the GTWR method, the resulting modeling can provide more accurate estimates compared to multiple linear regression models because it takes into account spatial and temporal heterogeneity. The research results show that the GTWR method uses functions adaptive kernel bisquare to produce modeling with value adjusted of 0.5887, AIC of 534.4663, and RMSE of 3.3878. Apart from that, the results of this research also show that the factors that influence the percentage of poor people in Indonesia in 2020-2022 as a whole are population density, the percentage of literacy rate of the population aged 15 years and over, and gross regional domestic product at constant prices.

Keywords: Poverty, geographically and temporally weighted regression, spatial heterogeneity, temporal heterogeneity, adaptive kernel bisquare.

---

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

2003113986

Penerbit

Pekanbaru : Universitas Riau FMIPA Statistika., 2024

Deskripsi Fisik

-

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

2003113986

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

STATISTIKA

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar