k-Means and GIS for Mapping Natural Disaster Prone Areas in Indonesia
Suwardi Annas, Zulkifli Rais · Proceedings of the Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia · 2020
The number of natural disasters in Indonesia is very high frequency. However, the data collected based on natural disasters has complex structures. One of the efforts to make prevention design is grouping the areas of natural disasters based on their similarities. The proposed methods are k-means to