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Image of PERBANDINGAN ANALISIS REGRESI LINIER BERGANDA DAN REGRESI KOMPONEN UTAMA PADA FAKTOR YANG MEMPENGARUHI UPAH MINIMUM PROVINSI DI INDONESIA TAHUN 2022

Skripsi

PERBANDINGAN ANALISIS REGRESI LINIER BERGANDA DAN REGRESI KOMPONEN UTAMA PADA FAKTOR YANG MEMPENGARUHI UPAH MINIMUM PROVINSI DI INDONESIA TAHUN 2022

Novita, Alnur Rindi Yana - Personal Name;

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Penilaian anda saat ini :  

Minimum Wage is a minimum standard used by employers to pay workers in a business environment. In Indonesia, each province sets a minimum wage that varies. This determination is based on the calculation of the current year's minimum wage plus the multiplication of the current year's minimum wage, inflation, and the growth of Gross Regional Domestic Product (PDRB). This study examines whether the five independent variables, namely, the average hourly wage of workers, the food poverty line, the non-food poverty line, the gross regional domestic product, and the ADHK PDRB growth rate have an effect on the Provincial Minimum Wage (UMP) and may be considered for inclusion in the determination calculation. The analysis in this study uses multiple linear regression. But there is a multicollinear problem because these variables are interconnected. To overcome this, principal component regression can be used. The purpose of this research is to get the best model between multiple linear regression analysis and principal component regression in the UMP problem in Indonesia in 2022. The best model selection uses a comparison of the largest coefficient of determination (R^2) and the smallest Mean Square Error (MSE). The multiple linear regression model formed is Y ̂=915499+101,33X_1. The principal component regression model formed is Y ̂=27294463+225615W_1. The obtained values of 〖 R〗^2 and MSE in multiple linear regression are 0,5464 and 1,53718E+11, respectively, while in principal component regression they are 0,383 and 2,10463E+11. The best model selected for the factors affecting UMP in Indonesia in 2022 is multiple linear regression.


Availability
Inventory Code Barcode Call Number Location Status
2407003252T145164T1451642024Central Library (References)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1451642024
Publisher
Indralaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2024
Collation
xiii, 52 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
510.07
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
upah minimum provinsi
Prodi Ilmu Matematika
Specific Detail Info
-
Statement of Responsibility
KA
Other version/related

No other version available

File Attachment
  • PERBANDINGAN ANALISIS REGRESI LINIER BERGANDA DAN REGRESI KOMPONEN UTAMA PADA FAKTOR YANG MEMPENGARUHI UPAH MINIMUM PROVINSI DI INDONESIA TAHUN 2022
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