The diagnostic process for laptop damage in computer service centers often requires considerable time due to the similarity of symptoms across different types of damage and the reliance on technicians’ experiential knowledge, while studies that specifically compare the performance of Forward Chaining and Backward Chaining in web-based expert systems within local service contexts remain limited. This study aims to evaluate the effectiveness of these two inference methods in an expert system for d