Pengelompokan Kabupaten/Kota di Provinsi Jawa Barat Berdasarkan Dampak Kerusakan Bencana Banjir Menggunakan K-Medoids

Dela Gustiara, Anisa Dwi Mulyaningsih, Rahmi Anadra, Edy Widodo
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Abstract

The territory of Indonesia is located in geographical, geological, hydrological, and demographic conditions that allow Indonesia to be prone to disasters. The most common natural disaster in Indonesia is flooding. If accumulated, there have been 682 flood events in the country since the beginning of 2022. In Indonesia, especially West Java Province, flooding is the most common disaster, especially during the rainy season. So a study will be conducted that aims to determine the grouping of districts / cities in West Java Province based on the occurrence of flood disasters. The data used in this study were obtained from the publication of the National Disaster Management Agency. In this study, there are 4 variables of the impact of flood disasters, namely total deaths, total submerged houses, total damaged houses and total injured. The clustering method used in this research is K-Medoids. K-Medoids is one of the clustering methods that uses the partition clustering method in grouping a set of n objects into a number of k clusters. From the results of the K-Medoids analysis, three clusters were obtained. The first cluster consists of 3 districts/cities with high impact of flood disasters, the second cluster consists of 23 districts/cities with moderate impact of flood disasters, and the third cluster consists of 1 district/city with low impact of flood disasters. Based on the results of the analysis, efforts can be made by the government to focus more on designing steps that must be taken in preventing or overcoming the impact of flood disasters.Keywords: Cluster; K-Medoids; Floods West Java
利用 K-Medoids 根据洪水灾害损失的影响对西爪哇省的行政区/城市进行聚类
印度尼西亚领土所处的地理、地质、水文和人口条件使其容易遭受灾害。印尼最常见的自然灾害是洪水。自 2022 年初以来,全国累计发生了 682 次洪灾。在印尼,特别是西爪哇省,洪水是最常见的灾害,尤其是在雨季。因此,我们将开展一项研究,旨在根据洪水灾害的发生情况确定西爪哇省的地区/城市分组。本研究使用的数据来自国家灾害管理局的出版物。在本研究中,洪水灾害的影响有 4 个变量,即总死亡人数、总淹没房屋数、总受损房屋数和总受伤人数。本研究采用的聚类方法是 K-Medoids。K-Medoids 是聚类方法中的一种,它使用分区聚类方法将一组 n 个对象分成若干 k 个聚类。根据 K-Medoids 的分析结果,可以得到三个聚类。第一个聚类由 3 个受洪水灾害影响较大的区/市组成,第二个聚类由 23 个受洪水灾害影响中等的区/市组成,第三个聚类由 1 个受洪水灾害影响较小的区/市组成。根据分析结果,政府可以更加注重设计预防或克服洪水灾害影响所必须采取的措施:聚类;K-Medoids;洪水 西爪哇
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