Techdoctor Android Application Design for Laptop Damage Diagnosis Based on Symptoms Experienced by Users

Abstract

Laptop damage is a common problem faced by computer users in today’s digital era. Users generally have difficulty identifying the source of damage due to limited technical knowledge. This research aims to design and build an Android application named TechDoctor that helps users perform initial diagnosis of laptop damage independently based on selected symptoms. The application was developed using the Kotlin programming language in the Android Studio environment and applies a rule-based expert system approach with forward chaining inference method. The knowledge base was compiled from literature studies and interviews with experienced laptop technicians, covering common symptoms such as overheating, battery failure, LCD problems, and RAM or hard disk issues. Testing was carried out using the Black Box Testing method with 30 test scenarios, yielding a diagnosis accuracy rate of 86.7%. The results show that the TechDoctor application is capable of providing initial diagnosis and solution recommendations quickly, accurately, and in a manner easily understood by non-technical users.