Manajerial Keuangan dalam Pengelolaan Pajak berlandaskan Sistem Informasi Akuntansi pada Perusahaan Swasta di Semarang

This study analyzes financial management in a private company in Semarang through information management systems in payroll administration. The data were divided into five categories: general, finance, accounting, sales administration, and accounting. The analysis method used was information system analysis with five steps, including monitoring, business processes, task delegation, independent verification, and capture procedures. The business process involves several entities in the application of VAT, Income Tax Article 21, and Income Tax Article 23. The delegation of tasks is considered ineffective because the number of employees is not proportional to the volume of work, which has a negative impact on the company's revenue. Supervision is carried out by the payroll department to ensure data accuracy. Supporting factors for the use of information management systems include information technology, user-friendly systems, top management support, and employee expertise. Conversely, inhibiting factors include lack of funds, declining number of tax employees, and ineffective division of tasks. An independence verification process was also conducted to ensure compliance with the prevailing tax laws in Indonesia.

Authors

Institutions

Publication Details

Journal
Journal Of Business Finance and Economics (JBFE)
Published
2024-08-21
DOI
https://doi.org/10.32585/jbfe.v5i2.5710
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Manajerial Keuangan dalam Pengelolaan Pajak berlandaskan Sistem Informasi Akuntansi pada Perusahaan Swasta di Semarang

Jaluanto Sunu Punjul Tyoso, Elly Yulianti, Amsar Amsar
Journal Of Business Finance and Economics (JBFE)
Economic Growth and Fiscal Policies
article

Manajerial Keuangan dalam Pengelolaan Pajak berlandaskan Sistem Informasi Akuntansi pada Perusahaan Swasta di Semarang

Jaluanto Sunu Punjul Tyoso, Elly Yulianti, Amsar Amsar
article en

Abstract

This study analyzes financial management in a private company in Semarang through information management systems in payroll administration. The data were divided into five categories: general, finance, accounting, sales administration, and accounting. The analysis method used was information system analysis with five steps, including monitoring, business processes, task delegation, independent verification, and capture procedures. The business process involves several entities in the application of VAT, Income Tax Article 21, and Income Tax Article 23. The delegation of tasks is considered ineffective because the number of employees is not proportional to the volume of work, which has a negative impact on the company's revenue. Supervision is carried out by the payroll department to ensure data accuracy. Supporting factors for the use of information management systems include information technology, user-friendly systems, top management support, and employee expertise. Conversely, inhibiting factors include lack of funds, declining number of tax employees, and ineffective division of tasks. An independence verification process was also conducted to ensure compliance with the prevailing tax laws in Indonesia.

Journal Of Business Finance and Economics (JBFE)Vol. 5(2)
Universitas 17 Agustus 1945 Jakarta (ID), Universitas 17 Agustus 1945 Surabaya (ID), Universitas 17 Agustus 1945 Cirebon (ID), Universitas 17 Agustus 1945 Semarang (ID)
Openalex Percentile: Top 83%
Economic Growth and Fiscal Policies
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.