Published: 2023-11-02

Analisis Pengaruh Penghasilan Wajib Pajak dan Penerapan E-System Terhadap Kepatuhan Wajib Pajak Orang Pribadi selama Masa Pandemi Covid -19

DOI: 10.35870/ljit.v1i2.2347

Muhammad Hendra Apriwarto
  • Muhammad Hendra Apriwarto: STIE Dharma Bumiputera

Abstract

An abstract is often presented separate from the article, so it must be able to This study aims to analyze the influence of taxpayer income and the implementation of the e-system on individual taxpayer compliance during the COVID-19 pandemic, with a focus on the South Jakarta Regional KPP. Through data collection and statistical analysis, this study highlights the significant role of taxpayers' income and e-system implementation in shaping their level of compliance. The results of the analysis show that economic conditions and the application of technology play an important role in influencing taxpayer compliance behavior. Recommendations include improving economic management, strengthening e-system implementation, and effective communication strategies to increase taxpayer awareness. This study makes an important contribution in designing policies that can increase taxpayer compliance amidst the challenges of the pandemic.

Keywords

Taxpayer Income ; E-System ; Taxpayer Compliance ; COVID-19 pandemic

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

Issue Cover

Downloads

Article Metrics

If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).

Share:
Article Information

This article has been peer-reviewed and published in the LANCAH: Jurnal Inovasi dan Tren. The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 1 No. 2 (2023)

  • Section: Articles

  • Published: November 2, 2023

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers

Similar Articles

You may also start an advanced similarity search for this article.