PENERAPAN REGRESI RIDGE UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI PERSENTASE PENDUDUK MISKIN DI INDONESIA

CHAIRUNNISYAH, PUTRI AULIA and Sukanda, Dian Cahyawati and Kresnawati, Endang Sri (2024) PENERAPAN REGRESI RIDGE UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI PERSENTASE PENDUDUK MISKIN DI INDONESIA. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_44201_08011282025066.pdf] Text
RAMA_44201_08011282025066.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (3MB)
[thumbnail of RAMA_44201_08011282025066_TURNITIN.pdf] Text
RAMA_44201_08011282025066_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (3MB)
[thumbnail of RAMA_44201_08011282025066_0021037302_0008027701_01_front_ref.pdf] Text
RAMA_44201_08011282025066_0021037302_0008027701_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (1MB)
[thumbnail of RAMA_44201_08011282025066_0021037302_0008027701_02.pdf] Text
RAMA_44201_08011282025066_0021037302_0008027701_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (643kB)
[thumbnail of RAMA_44201_08011282025066_0021037302_0008027701_03.pdf] Text
RAMA_44201_08011282025066_0021037302_0008027701_03.pdf - Accepted Version
Restricted to Repository staff only

Download (406kB)
[thumbnail of RAMA_44201_08011282025066_0021037302_0008027701_04.pdf] Text
RAMA_44201_08011282025066_0021037302_0008027701_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (766kB)
[thumbnail of RAMA_44201_08011282025066_0021037302_0008027701_05.pdf] Text
RAMA_44201_08011282025066_0021037302_0008027701_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (186kB)
[thumbnail of RAMA_44201_08011282025066_0021037302_0008027701_06_ref.pdf] Text
RAMA_44201_08011282025066_0021037302_0008027701_06_ref.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (402kB)
[thumbnail of RAMA_44201_08011282025066_0021037302_0008027701_07_lamp.pdf] Text
RAMA_44201_08011282025066_0021037302_0008027701_07_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (1MB)

Abstract

Ridge Regression is a method to deal with multicollinearity problems in regression modeling problems. This study aims to determine the factors that affect the percentage of poor population in Indonesia based on the Ridge Regression model of the percentage of poor population and determine the factors that affect the percentage of poor population in Indonesia based on the best Ridge Regression model of the percentage of poor population using Stepwise method. The method used is Ridge Regression analysis. The data used is secondary data obtained from the Badan Pusat Statistik Indonesia. The research variables include data on the percentage of the poor population, poverty depth index, poverty severity index, average length of schooling, human development index, regional gross domestic product, and open unemployment rate. The results of multiple regression modeling using the OLS method obtained that there was multicollinearity between independent variables indicated by the value of VIF ≥ 10. Therefore, the multiple regression assumption model is fixed by forming a model with Ridge regression. The results for the Ridge Regression model of the percentage of poor population are factors that affect the percentage of poor population in Indonesia are the poverty depth index, human development index, regional gross domestic product, and open unemployment rate. The results for the best model of the percentage of poor population Ridge Regression using the Stepwise method, namely the factors that affect the percentage of poor population in Indonesia are poverty depth index, poverty severity index, and human development index.

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics > QA279.C663 Response surfaces (Statistics)
Divisions: 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User: Putri Aulia Chairunnisyah
Date Deposited: 03 Jun 2024 07:27
Last Modified: 03 Jun 2024 07:27
URI: http://repository.unsri.ac.id/id/eprint/146113

Actions (login required)

View Item View Item