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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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 |
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Abstract: <br />
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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 />
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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. |
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Theses |
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Harits Kurnia Mustofa MM : 25105036, |
spellingShingle |
Harits Kurnia Mustofa MM : 25105036, PERSONAL INCOME TAX POTENTIAL IDENTIFICATIONUSING SIN PBB DATA |
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Harits Kurnia Mustofa MM : 25105036, |
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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 |
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1822015696046915584 |