Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 1 2022
Predicting the Extent of Sidoarjo Mud Flow Using Remote Sensing
Dublin Core
Title
Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 1 2022
Predicting the Extent of Sidoarjo Mud Flow Using Remote Sensing
Predicting the Extent of Sidoarjo Mud Flow Using Remote Sensing
Subject
MNDWI; neural network; regression; remote sensing; Sidoarjo mudflow.
Description
Abstract. The Sidoarjo mud flow in East Java is the result of a natural phenomenon in which hot mudflow occurs due to volcanic activity. The Sidoarjo mud flow resulted in a considerable ecological disaster in the area. In this study, by using the Modification of Normalized Difference Water Index (MNDWI) technique we measured the extension of the mudflow area from 2013 to 2020
using Landsat 8 satellite data imagery. This study is meant to predict the extension of the mud flow area in the research site by comparing regression and neural network techniques in order to find the best approach. The RPROP MLP neural network technique was used to predict the Sidoarjo mud-flowing area in 2021 to 2025. Surprisingly the results of these calculations showed that the RPROP MLP neural network with three hidden layers and 20 neurons performed the best, with an R square value for training of 0.77915565 and for testing of 0.78321550.
using Landsat 8 satellite data imagery. This study is meant to predict the extension of the mud flow area in the research site by comparing regression and neural network techniques in order to find the best approach. The RPROP MLP neural network technique was used to predict the Sidoarjo mud-flowing area in 2021 to 2025. Surprisingly the results of these calculations showed that the RPROP MLP neural network with three hidden layers and 20 neurons performed the best, with an R square value for training of 0.77915565 and for testing of 0.78321550.
Creator
Wishnumurti Wicaksono & Sani M. Isa
Source
DOI: 10.5614/itbj.ict.res.appl.2022.16.1.4
Publisher
IRCS-ITB
Date
01 Desember 2021
Contributor
Sri Wahyuni
Rights
ISSN: 2337-5787
Format
PDF
Language
English
Type
Text
Coverage
Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 1 2022
Files
Collection
Citation
Wishnumurti Wicaksono & Sani M. Isa, “Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 1 2022
Predicting the Extent of Sidoarjo Mud Flow Using Remote Sensing,” Repository Horizon University Indonesia, accessed December 22, 2024, https://repository.horizon.ac.id/items/show/3442.
Predicting the Extent of Sidoarjo Mud Flow Using Remote Sensing,” Repository Horizon University Indonesia, accessed December 22, 2024, https://repository.horizon.ac.id/items/show/3442.