Analisis Pengaruh Produk Domestik Regional Bruto, Indeks Pembangunan Manusia, Tingkat Partisipasi Angkatan Kerja Dan Rata-Rata Pengeluaran Perkapita Terhadap Upah Minimum Kabupaten/Kota di Karesidenan Pekalongan Tahun 2017-2021

Rindana Rahmawati Kusumaningrum, Siti Fatimah Nurhayati

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The purpose of this study was to determine and analyze the effect of gross regional domestic product, human development index, labor force participation rate, and average per capita expenditure on the district/city minimum wage in the Pekalongan residency in 2017-2021. This study uses secondary data in the form of panel data consisting of cross sections of 7 regencies in the Pekalongan Residency and time series for the period 2017-2021 using a statistical software tool, namely Eviews. The approach method used in estimating panel data for this study is the Fixed Effect Model (FEM). The results of the study concluded that gross domestic product has a positive effecton district/city minimum wages, the human development index has no effect on district/city minimum wages, which means that this result rejects the initial hypothesis, while the labor force participation rate has a negative effect on district/city minimum wages. and the average per capita expenditure has a positive effect on the district/city minimum wage in the Pekalongan residency. The results of the F test indicate that the model exists. The R-squared is 0.9522, meaning that 95.22% of the variation in the district/city minimum wage variable can be explained by the GRDP, HDI, TPAK and average per capita expenditure variables. The remaining 4.78% is influenced by variables or other factors not included in the model

Keywords: Minimum wage, gross regional domestic product, human development index, labor force participation rate, average per capita expenditure

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Referensi


Bersales, Lisa Grace. 2014. Determinant of Regional Minimum Wage in the Philippines. Statistics Journal: Philippines. School of Statistics, University of the Philippines Diliman.

BPS. (2021). Indeks Pembangunan Manusia. Jakarta: Badan Pusat Statistik

BPS. (2021). Pengeluaran Perkapita. Jakarta: Badan Pusat Statistik

BPS. (2021). Upah. Jakarta: Badan Pusat Statistik

Damanik, D. C., & Zalukhu, R. S. (2021). Analisis Faktor-Faktor Yang Mempengaruhi Kebijakan Penetapan Besaran Upah Minimum Kota (UMK) Di Kota Pematangsiantar. Jurnal ekuilnomi, 3(1), 38-51.

Gujarati, D. N.(2015). Dasar – dasar Ekonometrika. Salemba Empat.

Hutabarat, D. S. N. (2018). Pengaruh Angka Harapan Hidup, Rata-Rata Lama Sekolah, Pertumbuhan Ekonomi dan Pengangguran terhadap Jumlah Penduduk Miskin di provinsi Sumatera Utara. Universitas Sumatra Utara, 1, 1-108.

Ilham Kistanto. 2013. Analisis Penetapan Upah Minimum Kabupaten Jember. Skripsi: Jember. Fakultas Ekonomi, Universitas Jember.

Keputusan Peraturan Menteri Tenaga Kerja dan Transmigrasi Nomor 7 Tahun 2013 tentang Upah Minimum

Nurtyas, Febrika. 2016. Analisis Faktor-Faktor yang Mempengaruhi Upah Minimum Provinsi di Pulau Jawa Tahun 2010-2014. Yogyakarta: Skripsi Fakultas Ekonomi Universitas Negeri Yogyakarta.

Saberan, H (2002). Produk Domestik Regional Bruto. Jakarta: Rajawali

Sadono Sukirno. 2013.Makro Ekonomi Teori PengantarEdisi Ketiga. Jakarta: PT. Raja Grafindo Persada.

Simanjuntak, Payaman J.,1985, Pengantar Ekonomi Sumber Daya Manusia, Jakarta: LPFE-UI

Sutama, I. N., Asmini, A., & Astika, S. (2019). Analisis Fakktor-Faktor Yang Mempengaruhi Penetapan Upah Minimum Kabupaten Sumbawa Tahun 2013-2017. Jurnal Ekonomi& Bisnis, 7(3), 281-291.

Undang-Undang Republik Indonesia Nomor 13 tahun 2003 tentang Ketenagakerjaan pasal 88 ayat 4

Undang-Undang Republik Indonesia Nomor 13 tahun 2003 tentang Upah pasal 30

Widodo, Tri. (2006). Perencanaan Pembangunan : Aplikasi Komputer. Yogyakarta: UPP STIM YKPN.




DOI: https://doi.org/10.37531/mirai.v8i1.4433

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