Penerapan Regresi Linier Dalam Memprediksi Upah Minimum Provinsi Di Indonesia

Bright Nine Ginting; Khairun Nadiah; Grace Oktavia; Daniel Sembiring

Populer: Jurnal Penelitian Mahasiswa

Universitas Maritim AMNI

📄 Abstract

This research aims to evaluate the effectiveness of linear regression as a forecasting tool to estimate the Provincial Minimum Wage (UMP) in Indonesia. Utilizing UMP data from various provinces during the period 2002-2022, this study employs linear regression to analyze the factors influencing UMP determination. The predicted UMP for North Sumatra in 2023 demonstrates a high level of accuracy (R-squared = 0.9678), affirming the potential of linear regression as an effective tool to understand regional economic dynamics. The research provides a crucial foundation for policymakers in regional economic planning and suggests avenues for further investigation, including exploring alternative prediction methods and analyzing the impact of UMP regulation policies.

🔖 Keywords

#Provincial Minimum Wage; Linear Regression; Forecasting

ℹ️ Informasi Publikasi

Tanggal Publikasi

13 December 2023

Volume / Nomor / Tahun

Volume 3, Nomor 1, Tahun 2023

📝 HOW TO CITE

Bright Nine Ginting; Khairun Nadiah; Grace Oktavia; Daniel Sembiring, "Penerapan Regresi Linier Dalam Memprediksi Upah Minimum Provinsi Di Indonesia," Populer: Jurnal Penelitian Mahasiswa, vol. 3, no. 1, Dec. 2023.

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