Decision support system for predicting increased data on objects of motor vehicle name transfer (BBNKB I) using trend moment method (Case study: wheels 2 and wheels 4 in Samarinda)

Abstract

Transfer of Motor Vehicle Title Fee (BBNKB I) is first-person vehicle ownership. From this BBNKB I data, we can predict the number of vehicles that will enter Samarinda with the trend moment method. Historical data used are UPTB data from January 2015 to December 2018. To determine the prediction results, the existing historical data are used and use the MAPE value to calculate the error value or inaccuracy of the predicted results. Applications that are built using NetBeans with a MySQL database connection, where calculation formulas are included in the application. The end result is the prediction of the number of vehicles for 2-wheeled vehicles in Samarinda in 2017 with an average MAPE value of 0.55%, in 2018 with an average MAPE value of 1.92% and 2019 with an average MAPE value of 1.31 %. Then for 4-wheeled vehicles in Samarinda in 2017 with an average value of MAPE of 0.57%, in 2018 with an average value of MAPE of 0.77% and in 2019 with an average value of MAPE of 0.47%. MAPE criteria can be used to predict object data of BBNKB I wheels 2 and 4 wheels in Samarinda.