ANALISIS PENGETAHUAN MITIGASI BANJIR PADA MASYARAKAT KABUPATEN BANJAR DENGAN PENDEKATAN METODE REGRESI LOGISTIK BINER

Rahmiyanti Rahmadini, Irma Febrianty, Emmy Lilimantik, Yudi Ferrianta
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Abstract

The largest flood condition in South Kalimantan Province occurred in 2021. The worst flooded area is Banjar Regency with 27,249 fatalities. Floods also affected the agriculture and fisheries sectors, causing agricultural land productivity to decrease to 87,598 tons from 2021 to 2020. A total of 1,838 aquaculture businesses suffered losses of up to 70 billion rupiah. The causes of flooding do not only come from natural factors but can come from other factors such as a lack of knowledge of flood mitigation, resulting in huge losses for the community. Previous research states that the factors that influence flood disaster mitigation are the level of education and income. This study aims to determine the factors that influence flood mitigation knowledge in Banjar Regency communities using the binary logistic regression method. The results of the study provide differences from previous studies, namely the environmental factor with category 1, the implementation of environmental management by the community affects flood mitigation knowledge with a p value (0.027) < α (0.05) and a value of W (2.2198) > Z_table (1.960). The odds ratio value shows that the probability of the Banjar Regency community having flood mitigation knowledge is 2.79 times greater than other variable categories. The model explains an influence of 31.6% with an AIC value of 125. The respondents flood mitigation knowledge in managing the environment includes all types and stages of flood disaster mitigation related to local wisdom in the respondents location, namely several terms such as "Apar-Apar, Jukung Terpal, Galangan, Kelambu Kolam". There are still some things that need to be maximized for flood mitigation knowledge, namely the formation of disaster resilient villages in Martapura City, East and West Sub-districts. Dissemination of information on climate-smart agriculture training to farmers. Realization of temporary waste bin facilities in Banjar Regency.
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利用二元逻辑回归法分析班加地区社区的防洪减灾知识
南加里曼丹省最大的洪灾发生在 2021 年。洪灾最严重的地区是 Banjar 县,死亡人数达 27 249 人。洪水还影响了农业和渔业部门,导致 2021 年至 2020 年农业土地生产力下降至 87,598 吨。共有 1 838 家水产养殖企业遭受了高达 700 亿盾的损失。洪灾的原因不仅来自自然因素,还可能来自其他因素,如缺乏防洪减灾知识,从而给社会造成巨大损失。以往的研究表明,影响洪灾减灾的因素是教育水平和收入。本研究旨在利用二元逻辑回归法确定影响 Banjar 地区社区洪灾减灾知识的因素。研究结果提供了与以往研究的差异,即类别 1 的环境因素、社区实施环境管理影响洪灾减灾知识的 p 值(0.027)< α(0.05)和 W 值(2.2198)> Z_table 值(1.960)。几率比值显示,班加地区社区拥有洪灾减灾知识的概率是其他变量类别的 2.79 倍。模型解释了 31.6%的影响,AIC 值为 125。受访者在管理环境方面的防洪减灾知识包括与受访者所在地当地智慧相关的所有类型和阶段的防洪减灾知识,即 "Apar-Apar、Jukung Terpal、Galangan、Kelambu Kolam "等几个术语。在洪灾减灾知识方面,仍有一些东西需要最大限度地利用,即在马塔普拉市、东分区和西分区形成具有抗灾能力的村庄。向农民传播气候智能型农业培训信息。在 Banjar 地区建立临时垃圾桶设施。
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