Issue |
BIO Web Conf.
Volume 148, 2024
International Conference of Biological, Environment, Agriculture, and Food (ICoBEAF 2024)
|
|
---|---|---|
Article Number | 02023 | |
Number of page(s) | 7 | |
Section | Environment | |
DOI | https://doi.org/10.1051/bioconf/202414802023 | |
Published online | 09 January 2025 |
The management of household mask wastes during COVID-19 era
Faculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta, Daerah Istimewa Yogyakarta, Indonesia
* Corresponding author: surahma.mulasari@ikm.uad.ac.id
Mask is one of the largest domestic infectious wastes during the pandemic COVID-19. However, some people do not know how to manage their mask waste properly. This study aims to determine the relationship between education, knowledge, attitudes, and community participation in household mask waste management. This study used quantitative analytic research with a Cross-Sectional approach. Furthermore, the sampling method used the total sample. The number of samples were 73 respondents. Questionnaires were distributed as research tools to collect data on education, knowledge, and attitudes towards household waste management participation. data analysis was performed by chi-square analysis using computer analysis software. The study results of 73 respondents indicated that 56.8% had higher education, 79.5% had good knowledge, 79.5% had a positive attitude, and 65.8% had good participation, concecutively. The results of the education bivariate test obtained a p-value of 0,332 (p>0.05), knowledge of p-value 0.003 (p <0.05) RP 2,175 (95% CI: 1,209 - 3,912), and attitude p-value 0.018 (p <0.05) RP 2,578 (95% CI : 1,467 - 4,530). We highlighted that there were relationship between knowledge and attitude with community participation in household waste management. On the contrarty with education and community participation has no relationship in household mask waste management.
© The Authors, published by EDP Sciences, 2024
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.