Open access Jurnal
KEPATUHAN PEDAGANG PASAR PADA HIMBAUAN PEMERINTAH TENTANG BAHAYA COVID-19 MELALUI PENDAMPINGAN BERBASIS TEKNOLOGI INFORMASI
Jurnal Pengabdian NUSANTARA · Vol. 1 No. 1 (2021) · pp. 74–82
- ISSN
- 2776-3218
- Published
- 2021-05-30
- Publisher
- Universitas Halu Oleo
- Language
- eng
Abstract
Corona virus outbreak (covid-19) is now not only a problem of the Indonesian people, but has become a global problem. The Indonesian government formally declared the corona virus outbreak (Covid-19) as a National Disaster through Presidential Decree Number 12 of 2020. A number of government appeals have been made regarding the handling of the covid-19 pandemic, the aim of which is to break the chain of transmission of the virus so that it does not spread large. Appeals include physical distancing, which was before social distancing or keeping a distance from others, wearing masks when leaving the house, always washing hands with soap. This paper seeks to describe the forms of market traders 'understanding of government appeals and market traders' adherence to government appeals after technology-based assistance through community service activities integrated with Thematic College Real Work (KKN). The results of the activity indicate that there has been a change in understanding among some market traders regarding the danger of co-19 so that it gave birth to compliance in the form of the use of personal protective equipment (PPE), especially for traders who have the ability to use technology in accessing information related to the covid-19 outbreak. Compliance has not been maximized for some traders due to the limited ability to use technology (social media) for most traders, so that access to information on covid-19 hazards and ways to overcome them are also limited. Based on these findings, intensive socialization is needed by involving various parties and utilizing various media.
Keywords
Collaboration network of the authors
40 authors · 269 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Halu Oleo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Tanzil Tanzil | Universitas Halu Oleo | 17 |
| Suharty Roslan | Universitas Halu Oleo | 15 |
| Bakri Yusuf | Universitas Halu Oleo | 14 |
| Ratna Supiyah | Universitas Halu Oleo | 13 |
| La Ode Monto Bauto | Universitas Halu Oleo | 11 |
| Masrul Masrul | Universitas Halu Oleo | 11 |
| Muhammad Arsyad | Universitas Halu Oleo | 11 |
| Bahtiar Bahtiar | Universitas Halu Oleo | 10 |
| Sarmadan Sarmadan | Affiliation unknown | 10 |
| Muhammad Rusli | Universitas Halu Oleo | 8 |
| Sirajuddin Sirajuddin | Universitas Halu Oleo | 8 |
| Aryuni Salpiana Jabar | Universitas Halu Oleo | 8 |
| Juhaepa Juhaepa | Universitas Halu Oleo | 8 |
| Amin Tunda | Universitas Halu Oleo | 7 |
| La Tarifu | Universitas Halu Oleo | 6 |
| Peribadi Peribadi | Universitas Halu Oleo | 6 |
| Damsid Damsid | Affiliation unknown | 6 |
| Sulsalman Moita | Universitas Halu Oleo | 5 |
| La Ode Herman | Affiliation unknown | 4 |
| Fera Tri Susilawaty | Universitas Halu Oleo | 4 |
| Ambo Upe | Universitas Halu Oleo | 4 |
| Sarmadan Sarmadan | Universitas Halu Oleo | 4 |
| Sumadi Dilla | Universitas Halu Oleo | 3 |
| Muhammad Aqil Rusli | Universitas Halu Oleo | 3 |
| Syaifuddin S. Kasim | Affiliation unknown | 3 |
| lutfiana Nur Azizah | Affiliation unknown | 3 |
| Muhammad Ali Badaruddin | Universitas Halu Oleo | 2 |
| Wa Aisa | Universitas Halu Oleo | 2 |
| Irpan Efendi | Affiliation unknown | 2 |
| Herlin Rosdiana | Affiliation unknown | 2 |
| Hisna Tomsio | Affiliation unknown | 2 |
| Dandy Hardiyanto | Affiliation unknown | 2 |
| Dewi Anggraini | Affiliation unknown | 2 |
| Megawati A. Tawulo | Affiliation unknown | 2 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.