债务对企业盈利能力的影响,2018年至2021年

Alamat Korespondensi, N. Ayuningrum, Johandri Iqbal, Ferdyan Wana Saputra, Muhammad Azfareno
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引用次数: 0

摘要

本研究是在PT. Perkebunan Nusantara VI进行的。本研究的目的是确定债务,无论是长期债务还是短期债务,是否对盈利能力有显著影响,在本研究中,盈利能力用净利润率(NPM)来表示。研究时间为2018-2021年。本研究的问题制定旨在确定长期债务和短期债务对PT. Perkebunan Nusantara VI的盈利能力的影响有多显著。本研究属于定量研究。使用的数据类型是在PT. Perkebunan Nusantara VI的财务报表中获得的二手数据。本研究采用的数据分析技术为多元线性回归分析,使用SPSS 26.0版程序,回归方程为Y = -0.018 - 0.064X1 + 0.133X2。根据SPSS的检验结果,发现长期负债对盈利能力的影响不显著。同时,对于短期负债,可以得出短期负债对盈利能力的影响不显著。在F检验或同时性检验中,得出长期债务和短期债务同时对盈利能力没有显著影响的结论。调整后的R2值为14.6%的系数表明,盈利能力变量可以用长期债务和短期债务来解释。而剩下的85.4%则受到本研究模型中未解释的其他变量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PENGARUH HUTANG TERHADAP PROFITABILITAS PADA PT. PERKEBUNAN NUSANTARA VI TAHUN 2018–2021
This research was conducted at PT. Perkebunan Nusantara VI. The purpose of this study is to determine whether debt, both long-term debt and short-term debt has a significant effect on profitability, which in this study is represented by the Net Profit Margin Ratio (NPM). The research period is 2018-2021. The problem formulation of this study aims to determine how significant the influence of long-term debt and short-term debt on profitability at PT. Perkebunan Nusantara VI. This research is a quantitative research. With the type of data used is secondary data obtained in the financial statements of PT. Perkebunan Nusantara VI . The data analysis technique used in this study is multiple linear regression analysis using the SPSS version 26.0 program with the regression equation Y = -0.018 - 0.064X1 + 0.133X2. Based on the results of tests conducted on SPSS, it is found that there is no significant effect between long-term debt on profitability. Meanwhile, for short-term debt, it can be concluded that there is no significant effect between short-term debt on profitability. In the F test or simultaneous test, it is concluded that there is no significant effect between long-term debt and short-term debt on profitability simultaneously. Adjusted R2 value of 14.6% coefficient indicates that the profitability variable can be explained by long-term debt and short-term debt. While the remaining 85.4% is influenced by other variables that are not explained in this research model.
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