Open access Jurnal
Dampak Pandemi Covid-19 Terhadap Frekuensi Konsumsi Pangan Rumah Tangga di Kota Kendari
Jurnal Ilmiah Membangun Desa dan Pertanian · Vol. 7 No. 2 (2022) · pp. 56–64
- ISSN
- 2527-2748
- Published
- 2022-04-30
- Publisher
- Department of Agribusiness Halu Oleo University Kendari Southeast Sulawesi
- Language
- eng
Abstract
The study aimed to determine the consumption frequency of every food type, determine the frequency of eating meals on the day before and during the Covid-19 pandemic, and assess the impact of the pandemic on both the consumption frequency of each food and on the frequency of eating meals in a day. The research was conducted in Kendari Municipality, Southeast Sulawesi Province as it has the highest number of Covid-19 cases in the province. The study was undertaken from February to November 2021. The respondents were 80 people taken from household consumers who were shopping at two traditional markets. Data analysis was done using descriptive statistics based on the results of scoring for each variable, Wilcoxon Signed-Rank Test, and McNemar Test. The study results showed that the consumption frequency of rice was in the very high category, while corn, sago, and cassava were in the low category. The frequency of consumption of vegetables is very high, while milk, instant noodles, and fruit are each quite high. The frequency of consumption of fish and eggs is high, while the meat is quite high. The types of food whose consumption levels differed significantly before and during the pandemic were fish, cassava, eggs, and fruit. Meanwhile, on the frequency of eating meals in a day, the majority of respondents ate three times a day, and the frequency of eating did not show any difference before and during the pandemic.
Keywords
Collaboration network of the authors
40 authors · 119 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
- Universitas Sulawesi Tenggara
- 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 |
|---|---|---|
| Muhammad Aswar Limi | Universitas Halu Oleo | 5 |
| Samsul Alam Fyka | Universitas Halu Oleo | 4 |
| Rosmawaty Rosmawaty | Affiliation unknown | 2 |
| Yusna Indarsyih | Universitas Halu Oleo | 2 |
| Surni Surni | Affiliation unknown | 2 |
| Idrus Salam | Universitas Halu Oleo | 2 |
| Yully Angryanthy Salam | Universitas Halu Oleo | 1 |
| Jufri Karim | Universitas Halu Oleo | 1 |
| Fitriani Fitriani | Affiliation unknown | 1 |
| Djafar Mey | Affiliation unknown | 1 |
| la Ode Rustam | Affiliation unknown | 1 |
| Ahmad Iskandar | Affiliation unknown | 1 |
| Sarinah Sarinah | Affiliation unknown | 1 |
| Farah Amirat | Affiliation unknown | 1 |
| Muhammad Arief Dirgantoro | Universitas Halu Oleo | 1 |
| La Ode Ilmin Yuntafau | Affiliation unknown | 1 |
| Sri Wiyati Maharani | Affiliation unknown | 1 |
| Putu Arimbawa | Affiliation unknown | 1 |
| Kansa Dwi Ramadhani | Affiliation unknown | 1 |
| Lukman Yunus | Affiliation unknown | 1 |
| Hikmal Said | Affiliation unknown | 1 |
| Safitria Safitria | Affiliation unknown | 1 |
| Hartina Batoa | Affiliation unknown | 1 |
| Musram Abadi | Universitas Halu Oleo | 1 |
| Ririn Safitri | Affiliation unknown | 1 |
| Mila Sari | Affiliation unknown | 1 |
| Asnani Asnani | Affiliation unknown | 1 |
| Kaharuddin Kaharuddin | Universitas Sulawesi Tenggara | 1 |
| Taane La Ola | Affiliation unknown | 1 |
| R. Marsuki Iswandi | Affiliation unknown | 1 |
| Agus Rismawan | Affiliation unknown | 1 |
| Hastati Hastati | Affiliation unknown | 1 |
| Uswatun Nisa | Affiliation unknown | 1 |
| Ine Fausayana | Universitas Halu Oleo | 1 |
| Muthiary Nurul MF | Affiliation unknown | 1 |
| Azhar Bafadal | Universitas Halu Oleo | 1 |
| Firdach Nopita Sari | Affiliation unknown | 1 |
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.