Copier Diagnostic Expert System using Case Based Reasoning (CBR) Method

Abstract

The high need for photocopiers makes machine operations very high for a long time. This situation makes the condition of the machine to be down and easily damaged. This machine is a complex machine that is interconnected with one another , so it needs expert handling in repairing it. The limited number of technicians makes machines that are damaged for a long time to be repaired, so we need a system that can replace the position of experts in repairing copiers. The Case Based Reasoning (CBR) method is a method for building a system that works by diagnosing new cases based on old cases. occurred and provide solutions to new cases based on old cases that have a high similarity value. Just like humans can do reasoning, Case Based Reasoning is developed to do reasoning like humans. With reasoning, Case Based Reasoning can retrieve and equalize past solutions that are stored and used to solve current problems. Photocopiers at Fotocopy Cahaya currently require maximum operational handling due to the high level of use being made. In this research an expert system will be built in light photocopying by applying the Case Based Reasoning (CBR) method. The system built is made up of the PHP programming language and MySQL database to diagnose photocopier damage. The result of this research is a system that can diagnose photocopiers and produce a solution based on the damage experienced by the machine. By implementing an expert system using the Case Based Reasoning method, it will make it easier for Fotocopy Cahaya to diagnose the damage experienced by the machine and find the right solution to overcome the damage