| Popis: |
Youth depression is a silent threat threatening students around the world. Therefore, the purpose of the research was (1) to cluster students' risk of adolescent depression during COVID-19 and (2) to compare the predictive cluster to the standard depression rating scale. The samples used in the analysis were 687 samples from three institutions with two levels of education. It was 470 samples (68.41%) from Rajabhat Maha Sarakham University (RMU) at the university level, 33 samples (4.80%) from Mahasarakham University (MSU) at the university level, and 184 samples (26.78%) from Phadungnaree School (PS) at the high school level. The research tool is a data mining analysis technique. It consists of k-Means clustering and k-Determination. The results of the data mining analysis showed that the cluster analyzed by data mining was a little dissimilar from the normal process. It discovered that there were 120 different data samples (17.47%). Therefore, it can be concluded that the models studied by the researchers are consistent with the 5th Diagnostic and Statistical Manual of Mental Disorders (Dsm5). For future work, the researchers aim to develop forecasting prototypes and develop mobile applications to facilitate further work. |
