Community Adaptation Patterns in Facing The Condition of Pandemic Covid-19
The covid-19 pandemic which is endemic in almost all countries requires all citizens to adapt to this pandemic situation. Corona Virus can be directly transmitted to human through the environment such as air, surface of plastics and clothes, physical contact such as shaking hands, being in groups, doing activities outside home, and lack of self-hygiene discipline. This situation requires the community to change their usual adaptation patterns. Therefore, people are guided to change their adaptation patterns to new adaptation patterns. This study aims to analyze the adaptation patterns in society in the co-19 pandemic conditions. This research uses mixed method by combining quantitative and qualitative research methods. Data collection techniques using in-depth interviews, questionnaires and analyzed using a one way anova statistical. The results of a one way anova analysis on the aspects of forming the adaptation pattern, the calculated F value is 14,611 with a significant value of 0.000 (sig <0.05), it can be concluded that there are differences in the aspects forming the adaptation pattern. The results showed that the majority of 135 respondents had adaptation patterns in the aspects of self-objectivity and self-acceptance that is being realistic after knowing oneself so that they were able to accept their circumstances. There are different patterns of community adaptation in dealing with the Covid-19 pandemic conditions, where the aspects of Self-knowledge and Self-insight have significant differences from the Aspects of Self-objectivity and Self-acceptance. Respondents who have become participants state that they are changing their adaptation patterns to new adaptation patterns, namely: 1) participants seek insights into virus outbreaks through valid sources. 2) follow health protocols. 3) Stay calm and don’t panic. 4) participants hope to be able to carry out routine activities, while maintaining personal health and hygiene.
Keywords: Adaptation patterns; community; COVID-19
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