Muhardiansyah, Afdi (2023) Deteksi Dini Gejala Depresi Menggunakan Beck Depression Inventory Dengan Metode Case Based Reasoning. Other thesis, Universitas Islam Riau.

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Abstract

Depression has become a serious mental health problem worldwide, with prevalence increasing every year. To overcome this problem, early detection of depressive symptoms is very important. This study aims to detect symptoms of depression using the Beck Depression Inventory (BDI) with the Case-Based Reasoning (CBR) method. BDI is used as an instrument to measure the level of depression, while CBR is applied to find similarities between new cases and previous cases stored in the database. The data used in this research was taken from respondents who had filled out the BDI questionnaire and the results were used to train the CBR system. The results of this study show that the CBR method can be effective in detecting symptoms of depression with an accuracy rate of 52.9%. It is hoped that with this system, early detection of depression symptoms can be carried out more quickly and efficiently, so that appropriate intervention can be given to individuals who need it.

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