Landslide Prediction Model of Prone Areas in Pulung, Ponorogo East Java

Muriyatmoko, Dihin and Utama, Shoffin Nahwa and Pradhana, Faisal Reza and Umami, Jumhurul and Rozaqi, Abdul Jalil and Setyaningrum, Haris (2019) Landslide Prediction Model of Prone Areas in Pulung, Ponorogo East Java. In: The Fifth Information Systems International Conference 2019, 23-25 Juli 2019, Surabaya, Indonesia.

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Abstract

Ponorogo (7°52'15.3"S, 111°27'44.5"E) has various typical landscapes. A total of 59 landslides occurred during 2012-2018 in those common areas. The most severe landslide occurred in Banaran, Pulung sub-district, which caused several deaths and material losses. This research aimed to predict the areas which have the highest landslide probabilities based on daily rainfall. The methods were applied are scoring in four parameters, including daily rainfall, slope, land type, and land use. The data sets obtained from a local government authority (BAPPEDA). The data were treated using ArcGIS, Map server for windows, PostgreSQL database, and framework pmapper. The results are a real-time map based on the website, which provided three main categories of landslide probabilities. The highest vulnerability level of landslide were located in villages of Munggung (7°50'46.4"S, 111°38'36.9"E), Bekiring (7°51'11.9"S, 111°39'31.0"E), Singgahan (7°52'26.1"S, 111°39'05.8"E), Bedrug (7°53'20.1"S, 111°38'53.4"E), Wagirkidul (7°52'11.0"S, 111°40'46.3"E), and Banaran (7°50'47.9"S, 111°40'49.2"E). The system based on the website can be updated real-time depends on four parameters mentioned. These current results expected as an early warning system for those all potential areas, especially during the rainy season.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Ponorogo; landslide prediction; daily rainfall; early warning system; geographical information system
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Dihin Muriyatmoko
Date Deposited: 22 Mar 2020 02:45
Last Modified: 22 Mar 2020 06:04
URI: http://repo.unida.gontor.ac.id/id/eprint/177

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