Using scoring techniques to assess the landslide events and the level of hazard and socio-economic impact in the Sub-Watershed Samin Upstream of Karanganyar District of Indonesia
Economic Annals-ХХI: Volume 196, Issue (3-4), Pages: 43-50
Citation information:
Priyono, Rahayu, Jumintono, Murwaningtyas, F. S. D., Yatim, H., & Selamat, A. (2022). Using scoring techniques to assess the landslide events and the level of hazard and socio-economic impact in the Sub-Watershed Samin Upstream of Karanganyar District of Indonesia. Economic Annals-XXI, 196(3-4), 43-50. doi: https://doi.org/10.21003/ea.V196-05
Priyono
MA (Economics), Lecturer,
Faculty of Agriculture,
Slamet Riyadi University
Surakarta, 57136, Indonesia (Corresponding author)
ir.priyono@gmail.com
ORCID ID: https://orcid.org/0000-0002-8616-0384
Rahayu
PhD (Soil Science),
Faculty of Agriculture,
Sebelas Maret University
Surakarta, 57126, Indonesia
campine2011@gmail.com
ORCID ID: https://orcid.org/0000-0002-8396-2656
Jumintono
MA (Economics),
Faculty of Technical and Vocational Education,
University Tun Hussein Onn Malaysia
Johor, 86400, Malaysia
masmintosragen@gmail.com
ORCID ID: https://orcid.org/0000-0002-7591-649X
Fransiska Sinta Devi Murwaningtyas
MA (Economics),
Agribusiness Department,
Faculty of Agriculture,
Sebelas Maret University
Surakarta, 57126, Indonesia
fransiskasintayahoo@gmail.com
ORCID ID: https://orcid.org/0000-0002-1417-0268
Hertasning Yatim
PhD (Agrotechnology),
Faculty of Agriculture,
Tompotika Luwuk University
Luwuk, Banggai, Sulawesi Tengah, 94711, Indonesia
hertasningyatim70.hy@gmail.com
ORCID ID: https://orcid.org/0000-0002-8016-5950
Asri Selamat
PhD (Mathematics),
Faculty of Technical and Vocational Education,
University Tun Hussein Onn Malaysia
Johor, 86400, Malaysia
asri@uthm.edu.my
ORCID ID: https://orcid.org/0000-0001-9119-6608
Using scoring techniques to assess the landslide events and the level of hazard and socio-economic impact in the Sub-Watershed Samin Upstream of Karanganyar District of Indonesia
Abstract. Landslide is a type of mass transfer of soil or rock and a mixture of the two to a lower area due to disruption of slope stability, causing economic and environmental damage to property and human life. This study aimed to assess the landslide events and the level of landslide vulnerability and its economic impact using scoring techniques. The scoring is determined by the sum of the weight’s multiplication and the factor that started the landslide. Nine factors causing landslides have been evaluated using the statistical methods. The results showed that the scoring technique could be used as a guideline (tool) to analyze the relationship between landslide events and the level of vulnerability and also assess the socio-economic impact in the Samin Hulu sub-watershed. The survey and mapping results found that the distribution of landslide-prone areas in the Sub-watershed Samin Upstream can be divided into five landslide-prone levels, namely: extraordinarily prone, very prone, prone, somewhat prone, and not prone. The Samin Sub-watershed area can be categorized as an area classified as prone to landslides.
To lessen the socio-economic damage to the area, a number of programmes and cooperation initiatives between authorities and local communities have been introduced. For that purpose, a reforestation and agroforestry mechanism is applied which means planting teak forests combined with multiple cropping such as coffee, guava, cashew and other local plants.
Keywords: Economic Impact; Prone Level; Level of Hazard; Watershed; Assessment Technique
JEL Classification: Q51; Q57; Q54
Acknowledgements and Funding: The authors would like to thank to Slamet Riyadi Surakarta University and the research parties who supported the completion of this research.
Data Availability Statement: All data will be available upon request.
DOI: https://doi.org/10.21003/ea.V196-05
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Received 11.12.2021
Received in revised form 20.01.2022
Accepted 26.01.2022
Available online 20.04.2022