Emotion Intelligent Application for Independent Wellbeing Management using Certainty Factor

Abstract

According to the Indonesian National Research Master Plan, Indonesia is currently facing strong challenges in the field of public health, particularly mental health. Especially during the Covid-19 pandemic where there are many problems with emotional disorders that can threaten physical and behavioral health. Emotion health during a pandemic need to be maintained. The problem is that the lack of access and restrictions in consulting a psychologist makes it difficult for people to understand and recognize their emotions which will adversely affect their life and their decision making. To overcome this problem, in this study an expert system-based Certainty Factor (CF) method was built to recognize emotions. The method used the belief value and knowledge-based acquired from reference books as well as a psychologist expert. Implemented as a mobile application, made it easier for user to access it through their smart phones. The CF method was able to run in accordance with functional requirements and produced expected results. Based on the test results, the expert system to recognize emotions using the Certainty Factor method has worked with an accuracy rate of 92.31% on the test data.