E3S Web Conf.
Volume 202, 2020The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|Number of page(s)||7|
|Section||Socio-Culture and Environment|
|Published online||10 November 2020|
Community’s Social Construction on Covid-19 Patients with Supervision in Surakarta Indonesia
1 Department of Sociology, Universitas Sebelas Maret, Indonesia
* Corresponding author: email@example.com
Negative stigma labelled against Covid-19 patients and health workers can worsen Covid-19 management situation. Therefore, this research aimed to analyze Surakarta people’s interpretation on Covid-19 patient and their social construction process on Covid-19 patient in Surakarta Indonesia. This qualitative research with phenomenological research employed purposive sampling technique. Research informants consisted of Surakarta people, Pulmonologists and Nurses in Dr. Moewardi Surakarta Hospital, Chief Executive of Covid-19 Management Acceleration Task force of Surakarta City, etc. Online observation, in-depth interview, and documentation with internet media were used to collect primary and secondary data. Method and data source triangulations were used to validate data. Interactive model of analysis was conducted using Berger’s Social Construction theory. Surakarta People’s social construction on Covid-19 positive patients passed through some process: Externalization process indicated with Surakarta people’s early perception on Covid-19 as a new disease known poorly, thereby generating fear and ignorance among them; Objectification process showing people with varying perspectives on Covid-19 positive patients; and Internalization process finding the subjective reality of Surakarta People on Covid-19 patients affected by objectification stage, later creating interpretation on individual or group having ever interacted with this virus patient.
Key words: social construction / Covid-19-positive patient
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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