PERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA

Abstract: <br /> <br /> <br /> <br /> <br /> <br /> The aim of this research is to develop method to identify personal income tax potential using Single Identification Number (SIN) PBB data. Personal income tax potential can be identified by counting income...

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Main Author: Harits Kurnia Mustofa MM : 25105036
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/8026
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:8026
spelling id-itb.:80262017-10-09T10:15:53ZPERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA Harits Kurnia Mustofa MM : 25105036, Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/8026 Abstract: <br /> <br /> <br /> <br /> <br /> <br /> The aim of this research is to develop method to identify personal income tax potential using Single Identification Number (SIN) PBB data. Personal income tax potential can be identified by counting income tax and PTKP based on NOP. PKP is an estimation of income tax minus by PTKP in one NOP. Personal income tax can be estimated using regression analysis method. <br /> <br /> <br /> <br /> <br /> <br /> Based on multikolinearity test, all income of tax payer variable pass the test, indicate that personal income tax model using regression method can be used. Correlation value of between domestic expenditure and ZNT PBB is 0,57 (high). ZNT PBB can be used to increase personal income tax model acuration and then can be applicated to make regional extensification priority zone. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Abstract: <br /> <br /> <br /> <br /> <br /> <br /> The aim of this research is to develop method to identify personal income tax potential using Single Identification Number (SIN) PBB data. Personal income tax potential can be identified by counting income tax and PTKP based on NOP. PKP is an estimation of income tax minus by PTKP in one NOP. Personal income tax can be estimated using regression analysis method. <br /> <br /> <br /> <br /> <br /> <br /> Based on multikolinearity test, all income of tax payer variable pass the test, indicate that personal income tax model using regression method can be used. Correlation value of between domestic expenditure and ZNT PBB is 0,57 (high). ZNT PBB can be used to increase personal income tax model acuration and then can be applicated to make regional extensification priority zone.
format Theses
author Harits Kurnia Mustofa MM : 25105036,
spellingShingle Harits Kurnia Mustofa MM : 25105036,
PERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA
author_facet Harits Kurnia Mustofa MM : 25105036,
author_sort Harits Kurnia Mustofa MM : 25105036,
title PERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA
title_short PERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA
title_full PERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA
title_fullStr PERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA
title_full_unstemmed PERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA
title_sort personal income tax potential identificationusing sin pbb data
url https://digilib.itb.ac.id/gdl/view/8026
_version_ 1822015696046915584