Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Digital Bisnis: Jurnal Publikasi Ilmu Manajemen Dan E-commerce
Chika Dyah Kurniadi
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pengaruh Fixed Asset Turnover Ratio (Fato) dan Debt to Assets Ratio (Dar) terhadap Return on Assets (Roa) pada PT Astra Internasional Tbk Periode 2014-2023 Chika Dyah Kurniadi; Mohamad Safii
Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce Vol. 4 No. 4 (2025): Desember : Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/digital.v4i4.5396

Abstract

This research aims to examine the impact of the Fixed Asset Turnover Ratio and the Debt to Asset Ratio on the Return On Assets of PT Astra International Tbk over the period 2014-2023. The study adopts a descriptive quantitative method, utilizing several statistical tools including Classical Assumption Test (Normality, Multicolinearity, Heterocedasticity, and Autocorrelation), the coefficient of determination, multiple linear regression, and hypothesis testing (t-test and F-test). The findings reveal that the Fixed Asset Turnover Ratio has a positive and statistically significant effect on Return On Asset, supported by a t-value of 4,549, which exceeds the t-table value of 1,89458, with a p-value of 0,003. Meanwhile, the Debt to Asset Ratio shows a negative and significant effect on Return On Assets, indicated by a t-value of  |-6,476|, which is lower than 1,89458, and a significance value of 0,000. Furthermore, the F-test shows that both variables together significantly influence Return On Asset, as reflected in an F-value of 27,728, which is greater than the critical F-table of 4,737, with a significance level of 0,000.
Co-Authors Moh. Safii