SISTEM PAKAR PENDETEKSI KERUSAKAN PADA SEPEDA MOTOR NON MATIC NON INJEKSI MENGGUNAKAN METODE CERTAINTY FACTOR

Abstract

Motorcycle is a high demand transportation in community because it is easy to drive and the price is very affordable. One type of motorcycle that has a lot of interest is nonautomatic non-injection motorcycles. Not all users have an understanding of the damage to the motorcycle. The purpose of this study was to create an expert system to detect non-automatic non-injection motorcycle damage using the Certainty Factor method. The design of the system used Unified Modeling Language (UML) and the system was built using the CodeIgniter Framework and the XAMPP webserver. The results of calculations in the form of a percentage of damage symptoms were calculated based on MD and MB values that have been set by the system so that the highest percentage was the result of motorcycle damage symptoms. Expert system that has been built had the output in the form of diagnostic results, the percentage of confidence level of the type of damage, information on the causes of the damage and solutions. Black Box testing conducted stated that the results were appropriate with system functionality and manual calculation showed that the testing results matched with the results produced by the system.