DAMPAK MODERASI LEVERAGE ANTARA EFISIENSI BIAYA OPERASIONAL DAN LIKUIDITAS TERHADAP KINERJA KEUANGAN (STUDI EMPIRIS KINERJA KEUANGAN PADA PT UNILEVER INDONESIA TBK, TAHUN 2012 - 2021)
DOI:
https://doi.org/10.58174/nm5v9e92Keywords:
Leverage, Lingkungan Efisiensi Biaya Operasional dan Kinerja Keuangan., Leverage, Operational Cost Efficiency Environment and Financial Performance.Abstract
The purpose of this research is to determine the efficiency of operational costs on financial performance, to determine liquidity on financial performance, to determine the impact of moderating leverage between operational cost efficiency and liquidity on financial performance simultaneously. The research method used in this research is quantitative analysis. The data used in this research is quantitative data, namely numerical data. The sample used is the annual financial report of PT Unilever Indonesia Tbk, 2012 - 2021. The data analysis method used to carry out hypothesis testing is multiple linear regression analysis with the t test and f test. The results of this research show that the partial test results for Operational Cost Efficiency do not have a significant effect on Financial Performance. Based on the Sig value. from Operational Cost Efficiency of 0.6225 > 0.05 with a regression coefficient value of (0.082525), the hypothesis on Operational Cost Efficiency on Financial Performance is not accepted. The results of this research show that the Liquidity test has a significant effect on Financial Performance Based on the Sig value. From the bond value of 0.0062 < 0.05 with a regression coefficient value of (-56.77152), the hypothesis on Liquidity on Financial Performance is accepted. The results of this test show that operational cost efficiency and liquidity have a positive and significant effect on financial performance. The results of Moderating Regression Analysis (MRA) show that the Moderating Impact of Leverage on Operational Cost Efficiency and Liquidity has a positive and significant effect on Financial Performance based on a value of 0.0204 < 0.05. The coefficient of determination (adjusted R square) is 0.141500, this shows that the independent variables are 14.15%. Meanwhile, 85.85% of the difference is explained by other variables outside the selected variables.
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