The COVID-19 pandemic is a type of deadly virus that has become a new cause of stress. Physical and psychological health is the hope of every individual. But not all individuals can enjoy this health because of contracting a disease. Stress experienced by individuals can affect physiological functions, namely there are 4 diseases in psychological disorders including stress, depression, anxiety disorders and social phobia. Therefore we need a web-based system using the nave Bayes method by paying attention to the symptoms experienced which will help psychological disorders in recognizing mental health against Covid-19 transmission during the pandemic. In this study, the data in question is psychological data due to the COVID-19 pandemic. There are many modern algorithms created to diagnose symptoms due to this pandemic, but here the researcher wants to prove that Naïve Bayes can also perform the diagnosis quite well. Nave Bayes has a high accuracy value so that it can be used for various purposes, including for document classification, spam detection and other classification problems. The use of the Naïve Bayes method in this study can be rated as a material for research evaluation. With the Naive Bayes method in the rating, it can be seen from the disease. The results of this study are a desktop program for the diagnosis of stress, depression, anxiety disorders, and social phobias during the covid-19 pandemic.