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All Journal Populer: Jurnal Penelitian Mahasiswa
Bright Nine Ginting
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Penerapan Regresi Linier Dalam Memprediksi Upah Minimum Provinsi Di Indonesia Bright Nine Ginting; Khairun Nadiah; Grace Oktavia; Daniel Sembiring
Populer: Jurnal Penelitian Mahasiswa Vol. 3 No. 1 (2024): Maret : Jurnal Penelitian Mahasiswa
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/populer.v3i1.1662

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.
Co-Authors Daniel Sembiring Grace Oktavia Khairun Nadiah