Sistem Pendukung Keputusan Pemilihan Spare Part Pada Bengkel HASBI Motor Dengan Metode AHP

Abstract

Precise and accurate decision making will have an impact on precision policies in determining attitude taking in each individual, so the decision-making process must be appropriate and structured. This research reports that in the selection of vehicle spare part data can be classified based on the desired criteria, sub-criteria, and alternatives to get the right decision using a decision support system. This data classification can be done by defining the problem, determining the expected solution, and creating a problem hierarchy. This can facilitate the decision-making process in selecting the desired vehicle spare parts based on the parameters of the available data. The method used is Analytical Hierarchy Process (AHP), a method used to evaluate and make multi-criteria decisions. Furthermore, an assessment will be made through the ranking results from the comparison of several criteria and sub-criteria. The data source used in this research is secondary data obtained from Hasbi Motorcycle Workshop as the object of research. The purpose of this research is to classify data and determine the criteria for selecting vehicle spare parts according to the data domain parameters. The results of the study after testing the criteria such as brand, type of spare part, quality, and price obtained the results that the ranking value based on the Normalization Matrix that the Alternative motor battery with a weight of 0.64 ranks first, the alternative brake lining with a weight of 0.59 ranks second, and the alternative chain with a weight of 0.12 ranks third.