BibTex Citation Data :
@article{DJA47948, author = {Ridho Achmad Suparyadi and Shiddiq Nur Rahardjo}, title = {PENGARUH LIKUIDITAS, LEVERAGE, DAN KARAKTERISTIK PERUSAHAAN TERHADAP PROFITABILITAS (Studi Empiris pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Tahun 2020-2022)}, journal = {Diponegoro Journal of Accounting}, volume = {13}, number = {4}, year = {2024}, keywords = {leverage, liquidity, company, size, profitability}, abstract = { This study aims to explain the effect of liquidity, leverage, company characteristics on profitability in manufacturing companies in Indonesia.. The company under investigation isa company listed on the Indonesia Stock Exchange throughout the period of 2020 to 2022. The population of this study consists of manufacturing companies listed on the Indonesia Stock Exchange from 2020 to 2022. This study usedthe technique of purposive sampling, with a total sample size of 79 companies. The research data consists of secondary data obtained from theannual reports and financial statements of manufacturing companies. The method used in this study is multiple linear regression analysis. The data was analysed using descriptive statistical analysis, classical assumption testing, and multiple linear regression analysis. The analysis results indicate that liquidity, leverage, and company age have a significant impact. However, the size of the company is not significant. }, issn = {2337-3806}, url = {https://ejournal3.undip.ac.id/index.php/accounting/article/view/47948} }
Refworks Citation Data :
This study aims to explain the effect of liquidity, leverage, company characteristics on profitability in manufacturing companies in Indonesia.. The company under investigation isa company listed on the Indonesia Stock Exchange throughout the period of 2020 to 2022.
The population of this study consists of manufacturing companies listed on the Indonesia Stock Exchange from 2020 to 2022. This study usedthe technique of purposive sampling, with a total sample size of 79 companies. The research data consists of secondary data obtained from theannual reports and financial statements of manufacturing companies. The method used in this study is multiple linear regression analysis. The data was analysed using descriptive statistical analysis, classical assumption testing, and multiple linear regression analysis.
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Program Studi AkuntansiFakultas Ekonomika dan BisnisUniversitas DiponegoroJl. Prof. Sudharto, SH – Tembalang, Semarang Jawa Tengah 50275
ISSN : 2337-3806