在COVID-19大流行期间,以技术为基础的社区创新作为加强家庭恢复能力的努力

LINK Pub Date : 2022-11-30 DOI:10.31983/link.v18i2.9119
Rahayu Widaryanti, Muflih Muflih, Marselina Endah Hiswati
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引用次数: 0

摘要

[以技术为基础的互补性乡村创新:在2019冠状病毒病大流行期间提高家庭复原力的努力]优化家庭复原力的方法之一是使用补充疗法,但这种疗法并不为社区所熟知。除此之外,鉴于Tirtomartani村的科技进步和易于上网,需要在教育媒体上提供有关补充疗法的全面信息。这项社区服务活动旨在形成一个以发展社区或区域为基础的补充疗法为概念的补充村,使其更接近社区,从而使其能够得到最佳利用。活动的形式是培训辅助性干部作为辅助性村庄的驱动力,并通过优化辅助性治疗的教育媒体数字技术进行创新,此外还为辅助性村庄项目的可持续性提供援助和定期进行的监测和评估。这项活动的结果是形成了补充村,并增加了社区关于补充疗法的知识、洞察力和技能,以改善可适用于个人、家庭和社区的健康状况。合伙人在“好”类别的知识平均增加了50.66%,在“差”类别的知识平均减少了17.71%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INOVASI KAMPUNG KOMPLEMENTER BERBASIS TEHNOLOGI SEBAGAI UPAYA MENINGKATKAN KETAHANAN KELUARGA PADA MASA PANDEMI COVID-19
[TECHNOLOGY-BASED COMPLEMENTARY VILLAGE INNOVATION AS AN EFFORT TO IMPROVE FAMILY RESILIENCE DURING THE COVID-19 PANDEMIC] One of the ways to optimize family resilience is by using a complementary therapy, but this therapy is not well known by the community. Apart from that, seeing the advances in technology and easy access to the internet in Tirtomartani Village, comprehensive information is needed on educational media about complementary therapies. This community service activity aims to form a complementary village with the concept of developing community or area-based complementary therapies so that it is expected to be closer to the community so that it can be used optimally. The method of activity is in the form of training complementary cadres as the driving force for complementary villages and innovating by optimizing digital technology for educational media for complementary therapies, in addition to providing assistance and monitoring and evaluation which is carried out periodically for the sustainability of the complementary village program. The results of this activity are the formation of complementary villages and an increase in community knowledge, insight and skills regarding complementary therapies to improve health status that can be applied to individuals, families and communities. Partners get an increase in knowledge in the good category with an average of 50.66% and a decrease in knowledge in the less category than previous knowledge, namely 17.71%.
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