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PEMODELAN REGRESI LOGISTIK BINER UNTUK MENGETAHUI FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP TINGKAT KEMISKINAN DI INDONESIA TAHUN 2023

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Penilaian

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Poverty is a condition in which a person is unable to obtain sufficient resources to meet the minimum basic needs and lives below this minimum level. Indonesia is one of the countries with a low poverty percentage of 9.36%. However, several provinces in Indonesia still have relatively high poverty percentages. This study aims to identify the significant factors influencing the poverty rate in Indonesia in 2023 through partial testing of independent variables using a binary logistic regression model. The independent variables examined include the Human Development Index (HDI), population, Gross Regional Domestic Product (GRDP), gini ratio, unemployment rate, mean years of schooling, and expected years of schooling. The object of the binary logistic regression modeling is the 34 provinces in Indonesia. The model obtained from this study is π(x)=exp⁡(2.280- 2.123X_1(2) -2.341X_(5(2)) )/(1+exp⁡(2.280- 2.123X_1(2) -2.341X_5(2) )) which is interpreted as follow: having a low HDI category (X_(1(2)) ) and a medium unemployment rate category (X_(5(2)) ) reduces the probability of a high poverty rate. The modeling results indicate that two factors significantly influence the poverty rate in Indonesia in 2023, namely the Human Development Index (HDI) and the unemployment rate, with p-values from the partial test being 0.029 and 0.033, respectively.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507001797	T169534	T1695342025	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1695342025

Publisher

Indralaya : Prodi Pendidikan Matematika, Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwijaya., 2025

Collation

xv, 82 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

510.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Matematika
Prodi Pendidikan Matematika

Specific Detail Info

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Statement of Responsibility

TUTI

Other version/related

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