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Journal : Proceeding International Health Conference

Health Worker's Understanding of Haze Disaster Risk Management Collaboration in West Sumatra Province Riviwanto, Muchsin; Muslim, Burhan; Sugriarta, Evino; Sasmita, Heppi; Defriani Dwiyanti; Febriani, Wiwi
proceedinginternational Vol. 3 (2023): Proceeding International Health Conference, 1th July 2023
Publisher : POLTEKKES KEMENKES PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33761/jd.v3i.33

Abstract

Forest fires cause a decline in the level of public health, either directly or indirectly. One of the public health services that requires good collaboration is health services at the Puskesmas. health workers on duty at the Puskesmas in dealing with disasters in their respective work areas. The collaboration target is integrated patient care for disaster victims. This study aims to determine the understanding of health workers in collaborative risk management for haze disaster in West Sumatra.The design at this stage is cross sectional to identify the characteristics of the respondents (age, gender, type of profession, education), knowledge, attitudes, and collaborative actions to reduce haze disaster risk at the same time. The target population of this research is all health workers in several districts in West Sumatra Province. The affordable population of the study is health workers in areas categorized as vulnerable to haze in the province of West Sumatra. The sample determined in the survey phase of the research using the Lamesshow formula (Lemeshow et al., 1990). Based on the above formula, the total sample size is 50 samples, with an anticipated sample drop out of 10%, so the total number of samples is 55 samples. Collecting data using primary data by means of interviews with a questionnaire instrument. The statistical test used in this study is the chi square test, which is a statistical test used to test the relationship between the independent variable (independent) and the dependent variable (dependent) on a categorical scale.The results of the quantitative research show that more than half of the knowledge level (60%) and positive attitude (51%) about collaboration in disaster risk management of haze haze are seen. And the actions or practices of more than half of the respondents or health workers have less action (64%) regarding collaboration for disaster risk management of haze. There is a relationship between the knowledge and attitudes of health workers with collaborative actions to mitigate the risk of haze disaster. Government involvement is needed to issue a collaborative policy for managing the risk of haze disaster to change the centralistic/spatial paradigm in disaster management. Health workers can improve their understanding of communication and motivation in collaborative disaster risk management for haze.
Implementation of Handling Covid-19 Through The Sendai Framework Approach (West Sumatra Case Study) Riviwanto, Muchsin; Muslim, Burhan; Wijayantono; Dwiyanti, Defriani
proceedinginternational Vol. 4 (2024): Proceeding International Conference 1th February 2024
Publisher : POLTEKKES KEMENKES PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33761/jd.v4i.34

Abstract

Indonesia designated the non-natural disaster Covid-19 as a national in in 2020. The Sendai Framework Agreement (SFA 2015) states that risk reduction efforts must be prioritized, by means of prevention, mitigation and preparedness. West Sumatra Province has disaster management referring to Central Government guidelines from both the BNBP and the Ministry of Health. But it has not yet referred to disaster risk reduction management. The research aims to determine Covid 19 risk management based on the Sendai frame work in West Sumatra Province. The data used is secondary data from research studies of journals and news in chronology. SFA blueprint for predicting the risk of Covid-19 based on Android. The evaluation results of the Covid-19 Risk Prediction Application (M-RCov19) are easy to use and satisfying. Local governments can socialize the M-RCov19 application through focus group discussions (FGD) and training. And it is necessary to issue a policy in the form of a contingency plan (rencon) after the Covid-19 pandemic.