Browsing by Author "Simbolon, Adriano Megumi"

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    PREDIKSI PENDAPATAN PAJAK KENDARAAN BERMOTOR MENGGUNAKAN ALGORITMA MARKOV CHAINS (STUDI KASUS : UPT SAMSAT PEKANBARU KOTA)
    (Elfitra, 2023-10) Simbolon, Adriano Megumi; Alfirman, Alfirman
    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.