PREDIKSI PENDAPATAN PAJAK KENDARAAN BERMOTOR MENGGUNAKAN ALGORITMA MARKOV CHAINS (STUDI KASUS : UPT SAMSAT PEKANBARU KOTA)
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Date
2023-10
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Publisher
Elfitra
Abstract
Motor Vehicle Tax is direct regional income to pay for services or to issue certain
permits that are specifically granted by the regional government for the benefit of
individuals or organizations. Considering the large contribution of motor vehicle tax as
a source of Regional Original Income income, the government has made many efforts
to increase the amount of motor vehicle tax revenue. UPT SAMSAT Pekanbaru Kota as
one of the community service units in fulfilling motor vehicle tax does not yet have
accurate calculations in calculating the potential increase in PKB income, resulting in
the motor vehicle tax revenue target not being achieved optimally. The aim of this
research is to create a web-based system that can predict the income of motor vehicle
tax UPT SAMSAT Pekanbaru Kota in the future. The data used in this research is data
from 2010-2023. Based on the research results, it is obtained that PKB income in 2023
is 6.27% in January, 5.76% in February, 6.81% in March, 6 .92% in April, 7.34% in
May, 7.69% in June, 8.32% in July, 8.84% in August, 9.79% in September, 10.24% in
October, 10.43% in November, 11.58% in December with a MAPE error value of 13%
and RMSE of 0.12666.
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Keywords
Markov Chains, Motor Vehicle Tax, Prediction, MAPE, RMSE
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