Expert System Implementation of the Certainty Factor Method for Smartphone Damage Diagnosis

Syahrul Mubarak Abdullah (Department of Informatics Engineering, Faculty of Computer Science, Universitas Muslim Indonesia)
Hariani Ma'tang Pakka (Department of Electrical Engineering, Faculty of Engineering, Universitas Muslim Indonesia)
Andi Syarifuddin (Department of Electrical Engineering, Faculty of Engineering, Universitas Muslim Indonesia)
Ahmed Saeed Alghamdi (Computer Engineering Department, Taif University, Al Hawiyah)

International Journal of Electrical Engineering and Intelligent Computing
Vol 1, No 2 (2024): International Journal Of Electrical Engineering And Intelligent Computing

Android smartphone is currently one of the most extensively utilized operating systems. Nevertheless, Android devices are susceptible to issues such as Ic Emmc, Ic Power, software malfunctions, Blank Screen, Hang, complete device malfunction, and boot loop. Prompt intervention is crucial when a smartphone experiences a problem to prevent more harm and safeguard the user. The Certainty Factor (CF) accounts for the inherent uncertainty in an expert's analysis. Expressions such as "uncertain," "highly probable," "likely," "very likely," "almost certain," and "certain" are frequently employed in this context. This study employed a manual questionnaire to assess the efficacy of the expert system in identifying malfunctions in Android devices. All five technicians and all five user respondents expressed significant agreement about the reliability of the expert system in the questionnaire, and the black box test yielded a perfect 100% success rate. Through accuracy testing, using 10 samples of expert analysis data and 10 samples of system data, it was determined that the expert system achieved an 80% accuracy rate in generating diagnostic conclusions based on the tested data.