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PENGARUH JUMLAH KENDARAAN BERMOTOR TERHADAP PENERIMAAN PAJAK KENDARAAN BERMOTOR DI PROVINSI DKI JAKARTA

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ABSTRACT PENGARI,'H JUMLAII KEI\IDARAAN BERMOTOR TERHADAP PEI\IERIMAAI\ PAJAK KENDARAAI\ BER]\{OTOR DI PROVINSI DKI JAKil(-TA By : Yoan Cleudya Panjaiten The purpose of this mini-thesis is to determine how the development of motor vehicles number and development of motor vehicle tax revenue in the Province of Jakarta as well as assess the effect of the motor vehicles num&r to motor vehicle tax receipts in Jakarta. The research was conducted using descriptive methods. Techniques of data collection through interviews and documentary data obtained from the Head of the Tax Office Information Systems in the Province of Jakarta The data obtained were processed using SPSS version 16.0. Data analysis technique is using a simple linear regression analysis, analysis of the correlation coefficient, significance test and analysis of the coefficient of determination. Mechanical "nelysis was done by comparing the beta (p) the development of motor vehicles number against beta (F) the development of motor vehicle tax revenue. If beta (p) the development of motor vehicles number smaller than beta (P) the development of motor vehicle tax r€ceipts, the motor vehicle tax receipts were optimal. Based on statistical analysis of Pearson Product Momen! unknown magnitude correlation coefficient r = 0980, which means there is a strong and positive relationship between motor vehicles number and motor vehicle tax revenue. Significance of test results obtained t count> t table (6908> 2.92) with a = 0.05 which means that Ho refused and Ha is received and a determination coefiicient of 96.V/o. From these calculations can be concluded that there is a significant and positive relationship between motor vehicles number and motor vehicle tax revenue. Influence of motor vehicles number to motor vehicle tax revenues amounted lo 96.00/o and the remaining 4.00o/o is influenced by factors other than research. After the simultaneous testing of all types of vehicles it is known standardized regression coefficient beta (E) the development of motor vehicles number for 0.994> standardized regression coefficient beta (p) of the development Motor Vehicle Tax rcvenue for 0.964. From the above comparison it can be concluded that the motor vehicle tax revenue has not been optimal.