The Sinjai Regency Government in optimizing the handling of Covid-19 implemented a policy in five stages of handling the corona virus, namely the prevention stage, the handling stage, post-covid-19, stimulant assistance to affected SMEs and the fulfillment of social safety nets. The purpose of this study was to find out how the village head's strategy in handling covid-19 in Palae Village, South Sinjai District, Sinjai Regency. The research method used is qualitative research. Data collection techniques used are observation, interviews and documentation. The types of data used are primary and secondary data. The informants in this study were the Head of Palae Village; Village Consultative Body (BPD); Village officials; Covid Safe Village Volunteers; and Community Leaders. Data analysis techniques used are data collection, data reduction, data presentation, and drawing conclusions. The results of this study describe the Village Head's strategy in handling covid-19 through the application of PERBUP Sinjai Article 9 Number 27 of 2020. Then form a management called Covid-19 Safe Village Volunteers, conduct socialization related to handling Covid-19, and prepare village alert cars. Distribution of aid in the form of goods, namely the distribution of masks to residents, while cash assistance, namely Direct Cash Assistance (BLT).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.