Pengaruh Pengawasan Pajak, Teknologi Informasi Perpajakan, dan Ajaran Tamansiswa (Tri Pantangan) terhadap Tax Evasion

Purpose: This research aims to examine the influence of tax supervision, tax information technology, and Tamansiswa teachings (Tri Pantangan) on tax evasion among taxpayers registered at the Yogyakarta City Pratama Tax Service Office (KPP Pratama). Method: The research uses a quantitative approach, with a population consisting of taxpayers registered at KPP Pratama Yogyakarta City. Data was collected using a questionnaire distributed to 78 randomly selected respondents. The analysis tools used were statistical techniques to determine the relationship between tax supervision, tax information technology, and the influence of the Tri Pantangan teachings on tax evasion. Findings: The research results reveal that tax supervision has a positive influence on tax evasion, indicating that higher tax supervision correlates with a higher level of tax evasion. This suggests that tax supervision is ineffective in promoting taxpayer compliance. In contrast, tax information technology has a significant negative effect on tax evasion, as it increases efficiency and transparency, making monitoring and evaluation easier, thus reducing the chances of tax evasion. Furthermore, the teachings of Tamansiswa's Tri Pantangan, which include principles against lying, stealing, and laziness, significantly discourage tax evasion by fostering honesty and compliance among taxpayers.

Authors

Institutions

Publication Details

Journal
Jurnal Literasi Akuntansi
Published
2024-09-30
DOI
https://doi.org/10.55587/jla.v4i3.127
Primary Topic
Taxation and Compliance Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pengaruh Pengawasan Pajak, Teknologi Informasi Perpajakan, dan Ajaran Tamansiswa (Tri Pantangan) terhadap Tax Evasion

Sri Lestari Yuli Prastyatini, Frederik Sakario
Jurnal Literasi Akuntansi
Taxation and Compliance Studies
article

Pengaruh Pengawasan Pajak, Teknologi Informasi Perpajakan, dan Ajaran Tamansiswa (Tri Pantangan) terhadap Tax Evasion

Sri Lestari Yuli Prastyatini, Frederik Sakario
article en

Abstract

Purpose: This research aims to examine the influence of tax supervision, tax information technology, and Tamansiswa teachings (Tri Pantangan) on tax evasion among taxpayers registered at the Yogyakarta City Pratama Tax Service Office (KPP Pratama). Method: The research uses a quantitative approach, with a population consisting of taxpayers registered at KPP Pratama Yogyakarta City. Data was collected using a questionnaire distributed to 78 randomly selected respondents. The analysis tools used were statistical techniques to determine the relationship between tax supervision, tax information technology, and the influence of the Tri Pantangan teachings on tax evasion. Findings: The research results reveal that tax supervision has a positive influence on tax evasion, indicating that higher tax supervision correlates with a higher level of tax evasion. This suggests that tax supervision is ineffective in promoting taxpayer compliance. In contrast, tax information technology has a significant negative effect on tax evasion, as it increases efficiency and transparency, making monitoring and evaluation easier, thus reducing the chances of tax evasion. Furthermore, the teachings of Tamansiswa's Tri Pantangan, which include principles against lying, stealing, and laziness, significantly discourage tax evasion by fostering honesty and compliance among taxpayers.

Jurnal Literasi AkuntansiVol. 4(3)
University of Sarjanawiyata Tamansiswa (ID)
Openalex Percentile: Top 67%
Taxation and Compliance Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.