Conference Published

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
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.
Publication Details
EventThe Fifth Information Systems International Conference 2019
LocationSurabaya, Indonesia
Date23-25 Juli 2019
KeywordsPonorogo; landslide prediction; daily rainfall; early warning system; geographical information system
Item ID177
Deposited22 Mar 2020 02:45
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