Artificial neural network for landslide vulnerability mapping in Leitimur Peninsula Ambon Island
Artificial neural network (ANN) has been widely used in remote sensing to classify the various types of data. Moreover, it provides better accuracy results than statistical methods. In this study, AAN was applied to map landslide vulnerability zone in Leitimur Peninsula Ambon where landslide has fr...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/281687/1/Danoedoro-2_GE.pdf |
| _version_ | 1826050433477509120 |
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| author | Puturuhu, Ferad Danoedoro, Projo Sartohadi, Junun Srihadmoko, Danang |
| author_facet | Puturuhu, Ferad Danoedoro, Projo Sartohadi, Junun Srihadmoko, Danang |
| author_sort | Puturuhu, Ferad |
| collection | UGM |
| description | Artificial neural network (ANN) has been widely used in remote sensing to classify the various types of data. Moreover, it provides better accuracy results than statistical methods. In this study, AAN was applied to map landslide vulnerability zone in Leitimur Peninsula
Ambon where landslide has frequently occurred in the period 2012 until now resulting in losses to community. The objective of this study was to determine the landslide vulnerability level zones of the study area. The method used was the logistic regression and ANN. The results showed that the largest zone (9957.33ha) or 65.47% of the study area is in low landslide vulnerability level, while the best result of the accuracy test is the ANN analysis with the value
of 72.55%. |
| first_indexed | 2024-03-14T00:03:54Z |
| format | Conference or Workshop Item |
| id | oai:generic.eprints.org:281687 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:03:54Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2816872023-11-13T02:53:36Z https://repository.ugm.ac.id/281687/ Artificial neural network for landslide vulnerability mapping in Leitimur Peninsula Ambon Island Puturuhu, Ferad Danoedoro, Projo Sartohadi, Junun Srihadmoko, Danang Geography and Environmental Sciences Artificial neural network (ANN) has been widely used in remote sensing to classify the various types of data. Moreover, it provides better accuracy results than statistical methods. In this study, AAN was applied to map landslide vulnerability zone in Leitimur Peninsula Ambon where landslide has frequently occurred in the period 2012 until now resulting in losses to community. The objective of this study was to determine the landslide vulnerability level zones of the study area. The method used was the logistic regression and ANN. The results showed that the largest zone (9957.33ha) or 65.47% of the study area is in low landslide vulnerability level, while the best result of the accuracy test is the ANN analysis with the value of 72.55%. 2022 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/281687/1/Danoedoro-2_GE.pdf Puturuhu, Ferad and Danoedoro, Projo and Sartohadi, Junun and Srihadmoko, Danang (2022) Artificial neural network for landslide vulnerability mapping in Leitimur Peninsula Ambon Island. In: University Forum for Disaster Risk Reduction Conference 2021, 29 September 2021, Manokwari, Indonesia. https://iopscience.iop.org/article/10.1088/1755-1315/989/1/012013 |
| spellingShingle | Geography and Environmental Sciences Puturuhu, Ferad Danoedoro, Projo Sartohadi, Junun Srihadmoko, Danang Artificial neural network for landslide vulnerability mapping in Leitimur Peninsula Ambon Island |
| title | Artificial neural network for landslide vulnerability mapping
in Leitimur Peninsula Ambon Island |
| title_full | Artificial neural network for landslide vulnerability mapping
in Leitimur Peninsula Ambon Island |
| title_fullStr | Artificial neural network for landslide vulnerability mapping
in Leitimur Peninsula Ambon Island |
| title_full_unstemmed | Artificial neural network for landslide vulnerability mapping
in Leitimur Peninsula Ambon Island |
| title_short | Artificial neural network for landslide vulnerability mapping
in Leitimur Peninsula Ambon Island |
| title_sort | artificial neural network for landslide vulnerability mapping in leitimur peninsula ambon island |
| topic | Geography and Environmental Sciences |
| url | https://repository.ugm.ac.id/281687/1/Danoedoro-2_GE.pdf |
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