Multi Component Analysis of the Results of the Government’s Internal Audit Against Quality of Financial Statements
- DOI
- 10.2991/assehr.k.220301.131How to use a DOI?
- Keywords
- several components; audit results; internal auditors; quality of financial reports
- Abstract
This study aims to determine the ability of the R2 model to predict the independent variable in influencing the de-pendent variable. In addition to knowing the competence of auditors, auditor independence, standard operating procedures, information technology, and accounting standards. This research method uses a quantitative approach with multiple linear regression models. Result of the coefficient of determination R2 is 53%, the remaining 47%, influenced by other variables outside of this study. Partially, namely: auditor competence has positive and significant effect on the quality of financial statements, auditor independence has a positive and significant effect on the quality of financial statements, standard operating procedures have a positive and significant effect on the quality of financial statements, information technology has a positive and significant effect on the quality of financial statements, and accounting standards have a positive and significant effect on the quality of financial statements. In conclusion, all independent variables either simultaneously or partially have a positive and significant effect on the quality of financial reports.
- Copyright
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - La Ode Hasiara AU - Muhammad Suyudi AU - Sailawati Susilawati PY - 2022 DA - 2022/03/04 TI - Multi Component Analysis of the Results of the Government’s Internal Audit Against Quality of Financial Statements BT - Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021) PB - Atlantis Press SP - 794 EP - 800 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220301.131 DO - 10.2991/assehr.k.220301.131 ID - Hasiara2022 ER -