FACTORS WHICH INFLUENCE LAND AND BUILDING TAX DELINQUENT
Land and Building Tax (LBT) delinquent are increasing from year to year. Many factors can cause one LBT taxpayer is in arrears, one of them is uncorrect LBT assessment which can be caused by: tax object land area, building area and its building price classification, lack of taxpayers awareness, t...
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id-itb.:745152023-07-17T13:36:31ZFACTORS WHICH INFLUENCE LAND AND BUILDING TAX DELINQUENT Budirahardjo, Agus Indonesia Theses Discriminant Analysis, LBT payment, LBT delinquent INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/74515 Land and Building Tax (LBT) delinquent are increasing from year to year. Many factors can cause one LBT taxpayer is in arrears, one of them is uncorrect LBT assessment which can be caused by: tax object land area, building area and its building price classification, lack of taxpayers awareness, the distance between LBT payment location and taxpayer sometimes too far, taxpayers unwilling to make claim to tax office concerning of incorrect LBT assessment, tax payer income, etc. Besides tax claim effort, to make taxpayers pay they tax delinquent effectively; tax officers should know what factors influence taxpayers for not paying their LBT. This is expected can be known by making a model that can predict if one taxpayer will pay the tax or not (be in arrears) so it can minimalize new delinquent tax in the following years. This study is analyzing the factors that causing tax delinquent by make a model based on tax object sample data. The independent variables are LBT charge (Ketetapan), tax object size (area), building size and its usage type, taxpayer income (Penghasilan. The dependent variable is a data that consist of settled LBT and delinquent.Using Discriminat Analysis tools, the analysis obtain a discriminant model, which is Zscore = -0,255 – 1,30E-07 ketetapan + 4,64E-09 penghasilan. From this model we obtain that the variable that have significant effect to differentiating whether a tax object will pay its LBT or not are: Ketetapan (Sig. value 0.012), Penghasilan (Sig. value 0.003). The variables that not significant are Status Pembayaran PBB (Sig. value 0.129, 0.121, 0.816). From model validation, we know that the model have quite high accuration level (69%), so the model can be used to predict whether a tax object will pay its LBT or not in the following years. text |
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Land and Building Tax (LBT) delinquent are increasing from year to year. Many
factors can cause one LBT taxpayer is in arrears, one of them is uncorrect LBT
assessment which can be caused by: tax object land area, building area and its
building price classification, lack of taxpayers awareness, the distance between
LBT payment location and taxpayer sometimes too far, taxpayers unwilling to
make claim to tax office concerning of incorrect LBT assessment, tax payer
income, etc. Besides tax claim effort, to make taxpayers pay they tax delinquent
effectively; tax officers should know what factors influence taxpayers for not
paying their LBT. This is expected can be known by making a model that can
predict if one taxpayer will pay the tax or not (be in arrears) so it can minimalize
new delinquent tax in the following years.
This study is analyzing the factors that causing tax delinquent by make a model
based on tax object sample data. The independent variables are LBT charge
(Ketetapan), tax object size (area), building size and its usage type, taxpayer
income (Penghasilan. The dependent variable is a data that consist of settled LBT
and delinquent.Using Discriminat Analysis tools, the analysis obtain a
discriminant model, which is Zscore = -0,255 – 1,30E-07 ketetapan + 4,64E-09
penghasilan. From this model we obtain that the variable that have significant
effect to differentiating whether a tax object will pay its LBT or not are:
Ketetapan (Sig. value 0.012), Penghasilan (Sig. value 0.003). The variables that
not significant are Status Pembayaran PBB (Sig. value 0.129, 0.121, 0.816).
From model validation, we know that the model have quite high accuration level
(69%), so the model can be used to predict whether a tax object will pay its LBT
or not in the following years. |
format |
Theses |
author |
Budirahardjo, Agus |
spellingShingle |
Budirahardjo, Agus FACTORS WHICH INFLUENCE LAND AND BUILDING TAX DELINQUENT |
author_facet |
Budirahardjo, Agus |
author_sort |
Budirahardjo, Agus |
title |
FACTORS WHICH INFLUENCE LAND AND BUILDING TAX DELINQUENT |
title_short |
FACTORS WHICH INFLUENCE LAND AND BUILDING TAX DELINQUENT |
title_full |
FACTORS WHICH INFLUENCE LAND AND BUILDING TAX DELINQUENT |
title_fullStr |
FACTORS WHICH INFLUENCE LAND AND BUILDING TAX DELINQUENT |
title_full_unstemmed |
FACTORS WHICH INFLUENCE LAND AND BUILDING TAX DELINQUENT |
title_sort |
factors which influence land and building tax delinquent |
url |
https://digilib.itb.ac.id/gdl/view/74515 |
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