Analisis Pengaruh Jumlah Tenaga Kerja Terhadap Financial Performance dengan Metode Analisis Regresi dan Korelasi di PT Migas
Keywords:
ROA, ROE, EBITDA, Operating Cost, Tenaga KerjaAbstract
Labour serves as a critical resource that has a significant impact on a company's operations and financial results, particularly in the oil and gas sector, which contributes to national economic development. This research focuses on evaluating the impact of workforce size on the financial performance of PT Migas using regression and correlation analysis techniques. The study uses financial ratios such as return on assets (ROA), return on equity (ROE), earnings before interest, tax, depreciation and amortisation (EBITDA) and operating costs as data variables. The results show a weak inverse relationship between the number of employees and ROA, with a correlation coefficient of -0.526, indicating a negative association. Similarly, the correlation between the number of employees and ROE is calculated at -0.332, while the correlations with operating expenses and EBITDA are -0.991 and -0.848 respectively, all indicating a negative trend. Over the three-year analysis period, the results show that the size of the workforce does not have a significant impact on financial performance. This highlights the potential influence of other factors on firm performance and the need for management to implement more efficient workforce strategies. This study aims to provide valuable quantitative insights for management in formulating labour-related policies to support the company's future financial growth.
References
[1] Widiana, A., Moehadi, M., & Taufiqqurachman, F. (2022). Penyerapan Tenaga Kerja Lokal Pada Sektor Migas Kawasan Jambaran Tiung Biru Kabupaten Bojonegoro. Jurnal Ekonomi Dan Pendidikan , 19 (2), 158-163.
[2] Mahssouni, R., Touijer, Mn, & Makhroute, M. (2022). Kompensasi Karyawan, Pelatihan Dan Kinerja Keuangan Selama Pandemi Covid-19 . Jurnal Manajemen Risiko Dan Keuangan, 15 (12), 559.
[3] Abdulrahman, S. B., & Abubakar, A. (2023). Impact Of Intellectual Capital On Financial Performance Of Listed Oil And Gas Firms In Nigeria. Fudma Journal Of Accounting And Finance Research [Fujafr], 1(2), 88-101.
[4] Bauer, Tk, Dkk. (2018). Fleksibilitas Pasar Tenaga Kerja Dan Kinerja Keuangan . Penelitian Manajemen Kontemporer .
[5] Zaluchu, S. E. (2020). Strategi Penelitian Kualitatif Dan Kuantitatif Di Dalam Penelitian Agama. Evangelikal: Jurnal Teologi Injili Dan Pembinaan Warga Jemaat, 4(1), 28-38.
[6] Puspa, Sd, Riyono, J., Puspitasari, F., & Pujiastuti, Ce (2024). Pelatihan Analisis Korelasi Dan Regresi Dengan Menggunakan Perangkat Lunak “R” Untuk Meningkatkan Keterampilan Pengolahan Data Bagi Guru. Jurnal Abdi Masyarakat Indonesia (Jamin) , 6 (1), 80-90.
[7] Inadjo, I. M., Mokalu, B. J., & Kandowangko, N. (2022). Adaptasi Sosial Sdn 1 Pineleng Menghadapi Dampak Covid-19 Di Desa Pineleng 1 Kecamatan Pineleng Kabupaten Minahasa. Jurnal Ilmiah Society, 2(4).
[8] Ghivary, R. A., Mawar, M., Wulandari, N., & Srikandi, N. (2023). Peran Visualisasi Data Untuk Menunjang Analisa Data Kependudukan Di Indonesia. Pentahelix, 1 (1), 57.
[9] Abdurahman, M., Safi, M., & Abdullah, MH (2018). Sistem Informasi Pengolahan Data Balita Berbasis Website Pada Kantor UPT-KB Kec. Ternate Selatan. IJIS-Jurnal Indonesia Tentang Sistem Informasi , 3 (2), 85-92.
[10] Nur Muhamad Afifuddin, S. M. (2024). Pengolahan Data. Scientica, 11(2), 37–48.
[11] Rafles, Sa, & Nasution, Mip (2024). Peran Penting Pengolahan Data Dalam Transformasi Bisnis Melalui Analisis. Jurnal Rimba: Riset Ilmu Manajemen Bisnis Dan Akuntansi , 2 (1), 341-348.
[12] Novalianti, A. P., & Septiarini, A. (2016). Penerapan Self Organizing Map Untuk Perhitungan Korelasi Antara Penalaran Matematika Dengan Ipk Kelulusan Mahasiswa (Studi Kasus: Program Studi Ilmu Komputer). Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer, 9(2), 31-34.
[13] Kartiningrum, E. D., Notobroto, H. B., Otok, B. W., Kumarijati, N. E., & Yuswatiningsih, E. (2022). Aplikasi Regresi Dan Korelasi Dalam Analis Data Hasil Penelitian. E-Book Penerbit Stikes Majapahit.
[14] Putri, D. R., Azis, A. D., & Rizqi, M. N. (2023). Analisis Rasio Keuangan Dan Financial Distress Sebelum Dan Sesudah Covid-19 Subsector Food And Beverage. Jurnal Maneksi (Management Ekonomi Dan Akuntansi), 12(3), 564-572.
[15] Prahutama, A., & Rahmawati, R. (2024). Analisis Regresi Linier Berganda Pada Data Survey Untuk Pemodelan Total Pengeluaran Di Jawa Tengah, Indonesia. Jurnal Gaussian , 13 (2), 394-404.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Attila Daffa Riyadi, Tranggono (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.