Pratikto, Ridzki Okta and Damastuti, Natalia (2021) Klasterisasi Menggunakan Agglomerative Hierarchical Clustering Untuk Memodelkan Wilayah Banjir. JOINTECS (Journal of Information Technology and Computer Science), 6 (1). pp. 13-20. ISSN 2541-6448 (online) ; 2541-3619 (print)
![[img]](http://repository.narotama.ac.id/style/images/fileicons/text.png) |
Text
Jurnal 1.pdf Download (432kB) |
|
Text (PeerReview)
Jurnal 1.pdf Download (732kB) |
|
Text (Plagiarism)
Jurnal 1 Natalia.pdf Download (2MB) |
Abstract
Every year during the rainy season the problem of flooding in the province of East Java is a frequent disaster. Based on the records of the Disaster Management Agency (BNPB) from 2014 to 2015 there were 574 flood disasters in the province of East Java. Many factors cause floods, including the slow information obtained, so we need a modeling of potential flood areas in East Java using a more accurate and efficient method using an Agglomerative Hierarchical Clustering (AHC) method. This method will be used to group performance tests using the silhouette score method and cophenetic correlation coefficient. The results of this study are visualized in the form of GIS. Based on the optimal cluster results with the elbow method, the province of East Java is divided into 3 clusters of areas affected by flood potential i.e. low, medium, and high characteristics. Cluster performance results using cophenetic correlation coefficient indicate that the average linkage method provides a better cluster solution compared to other AHC methods which is 0.92. Keywords: floods; clustering; agglomerative; elbow method; cophenetic correlation coefficient
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Fakultas Ilmu Komputer > Sistem Informasi |
| Depositing User: | Repository Administrator |
| Date Deposited: | 24 May 2022 08:25 |
| Last Modified: | 24 May 2022 08:25 |
| URI: | http://repository.narotama.ac.id/id/eprint/1196 |
Actions (login required)
 |
View Item |