Pengelompokan Kabupaten/Kota di Provinsi Jawa Barat Berdasarkan Dampak Kerusakan Bencana Banjir Menggunakan K-Medoids
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
Full Text:
PDFReferences
D. Produk, F. Desain, and U. E. Unggul, “Perancangan Kendaraan Tanggap Bencana Tenda Medis Modular untuk Korban Bencana Alam,” 2021.
H. Y. Heraldi, N. C. A. and H. Pratiwi, "Analisis Cluster Intensitas Kebencanaan di Indonesia Menggunakan Metode K-Means," Indonesian Journal of Applied Statistics, vol. 2, no. 2 , pp. 137-144, 2019.
M. A. Rizaty, "Ada 1.733 Bencana Alam di Indonesia hingga Pertengahan 2022," katadata.co.id, 7 Juni 2022. [Online]. Available: https://databoks.katadata.co.id/datapublish/2022/06/07/ada-1733-bencana-alam-di-indonesia-hingga-pertengahan-2022. [Accessed 18 Juli 2022].
D. Yudistira and R. C. H. Hutauruk, "Peluang Bencana Banjir Pada Saat Hujan Lebat dan Sangat Lebat di Kawasan Pantura Provinsi Jawa Barat," Buletin GAW Bariri, vol. 2, no.1, pp. 16-23, 2021.
A. Saifullah, "Identifikasi Faktor Penyebab Banjir di Perumahan Garden City Kelurahan Gebang Raya Kecamatan Periuk Kota Tangerang," repository.iti.ac.id, 2020.
A. Sholikhah, "Statistik Deskriptif Dalam Penelitian Kualitatif," Jurnal Dakwah dan Komunikasi, vol. 10, no. 2, pp. 342-362, 2016.
R. R. Hocking, Methods and Application of Linear Models, New York: John and Sons, 1996.
I. D. M. Endiana, “Implementasi Perataan Laba Pada Perusahaan Kategori Indeks Lq 45 Di Bursa Efek Indonesia,” J. Ilm. Manaj. Akunt., vol. 24, no. 1, pp. 1–19, 2018.
S. N. d. F. F. Monika Afriana, "Penentuan Awal Keanggotaan Analisis Klaster Non Hirarki," Universitas Bengkulu , 2015.
T. M. K. d. D. P. R. Makwana, "Review on Determining Number of Cluster in K-Means Clustering," International Journal of Advance Research in Computer Science and Management Studies, vol. 1, no. 6, pp. 90-95, 2013.
B. Wira, A. E. Budianto and A. S. Wiguna, "Implementasi Metode K-Medoids Clustering Untuk Mengetahui Pola Pemilihan Program Studi Mahasiwa Baru Tahun 2018 Di Universitas Kanjuruhan Malang," RAINSTEK : Jurnal Terapan Sains & Teknologi, vol. 1 no.3, pp. 53-68, 2019.
J. Supranto, Analisis Mutivariat : Arti dan Interpretasi, Jakarta: PT. Rineka Cipta, 2004.
B. Wira, A. E. Budianto and A. S. Wiguna, "Implementasi Metode K-Medoids Clustering Untuk Mengetahui Pola Pemilihan Program Studi Mahasiwa Baru Tahun 2018 Di Universitas Kanjuruhan Malang," RAINSTEK : Jurnal Terapan Sains & Teknologi, vol. 1, no.3, pp. 53-68, 2019.
H. Zayuka, S. M. Nasution, and Y. Purwanto, “Perancangan Dan Analisis Clustering Data Menggunakan Metode K-Medoids Untuk Berita Berbahasa Inggris Design and Analysis of Data Clustering Using K-Medoids Method For English News,” e-Proceeding Eng., vol. 4, no. 2, pp. 2182–2190, 2017.
E. Budiyanto, Sistem Informasi Geografis dengan Quantum GIS, Yogyakarta: C.V Andi Offset, 2018.
S. Khoirunnisa et al., “Hierarhical cluster analysis perdagangan ekspor januari-maret 2020 berdasarkan pelabuhan muat, pmdn, dan pma di Indonesia,” Semin. Nas. Mat. DAN Pendidik. Mat. (5 th Senat.), vol. 5, pp. 332–341, 2020.
Refbacks
- There are currently no refbacks.