Syafitri, Nesi and Arta, Yudhi and Siswanto, Apri and Rizki, Sonya Parlina (2019) Expert System to Detect Early Depression in Adolescents using DASS 42. Proceedings of the Second International Conference on Science, Engineering and Technology (ICoSET), 1. pp. 211-218. ISSN 978-989-758-463-3

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Abstract

Around 5% adolescents in Indonesia suffer from depression at the certain time. To identify the level of depression, direct consultation with an expert like alienist or psychologist is needed. However, the problem is the number of experts in hospital and culture social environment is limited, also the society is not used to do consultation to alienist or psychologist. Therefore, a system that can help the medical to detect early depression disorder is needed, before the adolescents do the next consultation to the medical. The system called as expert system with web based which built by Case Based Reasoning (CBR) and using Simple Matching Coefficient (SMC) method also DASS 42 as the research instrument. Based on the 200 data testing on 500 and 700 case base, this expert system can detect the early disorder with an precision rate more than 90%. So that, with this expert system the early disorder can be done accurately and fast.

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