Abstract

Indonesia is the largest archipelagic country in the world, which is geographically located in areas prone to natural disasters. One of the frequent occurrences of natural disasters is a landslide. East Java Province is one of the areas that has the potential for landslides. This is due to the topography of the most mountainous and rugged territory. Besides that, it also caused high levels of population density in the region of hills so that raises pressure on ecosystems. The tendency of the occurrence of landslides in an area can be connected with the equality of land characteristics and climate in other regions on a landslide in the past. To reduce the risk of disaster will be designed the software-based neural network for identification of potential avalanche areas. With potential landslide identification software, it can help to identify other locations that have similar physical and soil characteristics, so that the area can be suspected of being a potentially landslide area. The overall test results of this study are using Backpropagation artificial neural networks with 7 inputs, 15 hidden and 1 output. The training function used is Resilient backpropagation (RP) with an accuracy of testing data is 90.56% and MSE of 0.0944.

Original languageEnglish
Article number012095
JournalJournal of Physics: Conference Series
Volume1366
Issue number1
DOIs
Publication statusPublished - 7 Nov 2019
Event2nd International Conference on Applied and Industrial Mathematics and Statistics 2019, ICoAIMS 2019 - Kuantan, Pahang, Malaysia
Duration: 23 Jul 201925 Jul 2019

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