FAKTOR-FAKTOR YANG MEMPENGARUHI TINDAKAN MASYARAKAT DALAM PENCEGAHAN COVID-19 DI KABUPATEN BANYUMAS

Aviva Anggraeni, Aisyah Apriliciciliana Aryani, Dian Anandari
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Abstract

Background : Covid-19 is an infectious disease and has been declared a global pandemic. The spread of Covid-19 in Banyumas Regency is increasingly widespread. Precautions were taken to reduce Covid-19 cases. This study aims to know the factors that influence community actions in preventing Covid-19 using logistic regression analysis. Method : Cross-sectional design with a sample of 188 people obtained by incidental sampling method. The questionnaire instrument used a google form questionnaire. The analysis was carried out until the logistic regression test stage. Result : From 188 people who were the respondent of research were people with the adult age category of 95.2%, female sex 81.4%, high school education 69.7%, employment as a student status 65.4%, sources of information obtained from mass media 53.2%. Good knowledge 62.8%, positive attitude 51.1%, supportive family support 51.6%, good preventive action 63.3%. The results of the logistic regression analysis show that the factors that influence the Covid-19 prevention measures are family support (p-value = 0.000, OR = 10,776, 95% Cl = 4,782-24,282). Conclusion : Age, occupation, and sources of information have no relationship with Covid-19 prevention measures. However, gender, education, knowledge, attitudes, and family support have a relationship with Covid-19 prevention measures. Family support is the factor that most influences Covid-19 prevention measures.
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背景:Covid-19是一种传染病,已被宣布为全球大流行。新冠病毒在巴尤马斯县的传播越来越广泛。采取预防措施,减少新冠肺炎病例。本研究旨在通过logistic回归分析了解影响社区预防Covid-19行动的因素。方法:采用随机抽样法进行横断面设计,共188人。问卷工具采用谷歌表格问卷。分析一直进行到逻辑回归检验阶段。结果:188名调查对象中,成人年龄层占95.2%,女性占81.4%,高中学历占69.7%,学生就业占65.4%,大众传媒信息来源占53.2%。良好的知识62.8%,积极的态度51.1%,支持性家庭支持51.6%,良好的预防措施63.3%。logistic回归分析结果显示,家庭支持是影响预防措施的因素(p值= 0.000,OR = 10,776, 95% Cl = 4,782 ~ 24,282)。结论:年龄、职业、信息来源与Covid-19预防措施无关。然而,性别、教育、知识、态度和家庭支持与Covid-19预防措施有关系。家庭支持是影响Covid-19预防措施的最大因素。
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