Depression, anxiety, and stress disorders detection in students during the Covid-19 pandemic using Naïve Bayes algorithm

School of Electrical Engineering, Telkom University, Bandung, Indonesia

^* Corresponding author: annisarahmadani@student.telkomuniversity.ac.id

Abstract

During the Covid-19 pandemic, students in Indonesia carried out bold learning from home as a social effort during the pandemic. This bold learning process is considered to be still less effective and efficient and has resulted in some students, especially students having homework during the brave learning period. This has an impact on the psychology of students such as the emergence of depression, anxiety, and stress. Sources of psychological disorders not only from academics but from within themselves also affect mental health. The results of a survey on mental health during the pandemic conducted by the Association of Indonesian Mental Medicine Specialists (PDSKJI) showed that 64.8% of respondents experienced psychological problems in the age group of 19-24 years and over 60 years. In this study the author will make a system of Tests for Depression, Anxiety and Stress Disorders in Students. The results of this test are the severity of each psychological disorder and treatment recommendations based on the test results. The psychological scale used in this study is the DASS-42 (Depression, Anxiety, and Stress Scale) which has 42 statements and 3 categories of disorders, namely depression, anxiety, and stress. Each category has 5 levels, namely normal, mild, moderate, severe, and very severe. The Test System for Depression, Anxiety, and Stress Disorders for Students uses the Naïve Bayes method with the accuracy of the dataset obtained by 86.44%, so it can be said that this system is running according to the purpose.