Abstract:
Psychiatric disorders are psychological diseases that occur in the human
brain that are not normal with various causes but are predominantly caused by
great stress. Turning to the global crisis caused by a virus (Covid-19), this virus
has triggered an increase in psychiatric disorders. Many studies have described
that the Covid-19 pandemic has affected the nervous system and psychiatric
disorders, so mental health is included in planning for dealing with a pandemic.
Based on data from the WHO survey results, it was found that the data pattern
changed drastically. This study aims to determine changes in data patterns of
patients with psychiatric disorders before and after the Covid-19 pandemic who
were handled from January 2019 to February 2021 at Engku Haji Daud Hospital,
Riau Islands Province, and measure the accuracy of the method used. This study
uses the K-Means Clustering algorithm method to cluster data and uses the
Silhouette Coefficient to see how well the quality of a cluster is produced. The
stages in this research are data collection, data pre-processing, clustering process,
Silhouette Coefficient Process, and result analysis. Based on this research, the
graph of the experimental results of all pre-pandemic Covid-19 data obtained the
highest value at k5 with a silhouette coefficient value of 0.547. Meanwhile, in the
post-pandemic Covid-19 data, the highest value is k2 with a silhouette coefficient
value of 0.385. Based on the pre-pandemic covid-19 clustering structure criteria,
each experiment differs from one another, while the post-pandemic conditions of
the covid-19 structure criteria are the same.
