Penerapan Regresi Linier Dalam Memprediksi Upah Minimum Provinsi Di Indonesia
DOI:
https://doi.org/10.58192/populer.v3i1.1662Keywords:
Provincial Minimum Wage, Linear Regression, ForecastingAbstract
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.
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