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Muhammad Rheza Ramdhan
Directorate General of Taxes of Republic of Indonesia
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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How to select tax audit cases?: a literature review of research in tax avoidance Muhammad Rheza Ramdhan
Journal of Economics and Business Letters Vol. 1 No. 2 (2021): August
Publisher : Privietlab

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Abstract

Currently, DGT is experiencing a shortage of tax auditors. As a result, DGT was unable to meet the tax collection goal. This issue, I think, may be addressed by developing a tax audit case selection model. This model employs the tax avoidance variable, which is assessed by the amount of adjustment in the modified tax assessment, as well as various factors classified as company characteristics, firm activities, and BOD characteristics. To develop this model, DGT should alter the format of tax returns in order to get the necessary information from taxpayers. Then, DGT must choose an analytical technique to evaluate the data. Because DGT has a large amount of data, I suggest utilizing the big data analytics approach, and I think that the regression model is outdated. So, I think that this approach will be useful in making DGT better in the future, since DGT may find it simpler to pick tax audit cases that will have a significant effect on tax collection. Unless DGT creates this paradigm, I think DGT will be unable to achieve its goal indefinitely. This article aims to describe certain tax avoidance measures and some tax avoidance factors that will be helpful in developing a tax audit case selection model. Furthermore, I'd want to show how DGT might evaluate such determinants in order to construct a suitable model.
The Effectiveness of Government Public Relation in COVID-19 Era Muhammad Rheza Ramdhan
Journal of Economics and Business Letters Vol. 1 No. 2 (2021): August
Publisher : Privietlab

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Abstract

The main goal of this study is to discover public opinion on public policy in the year after COVID-19 and how the public relations effort that was successful was achieved by the government. Using Drone Emprit Academic's publicly available data, this research analyzes the public sentiment using naive bayes. This study based on 3,609 tweets of the term “kebijakan publik” showed that the majority of public opinion is unfavorable, and accounts in the civil sector are the most active. The government's positive news may be overshadowed by other sources, making it a problem. The government should work with the public relations department to craft a strategy to raise the volume of social media use and to counteract bad news with good news.
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