Determining mitigation on landslide prone level in watershed area: analysis of study on Samin Hulu Karanganyar District of Indonesia and its economic consequences
Economic Annals-XXI: Volume 199, Issue (9-10), Pages: 40-47
Citation information:
Priyono, P., Handoko, S., Rahayu, R., Sawitri, S., & Murwaningtyas, F. S. D. (2022). Determining mitigation on landslide prone level in watershed area: analysis of study on Samin Hulu Karanganyar District of Indonesia and its economic consequences. Economic Annals-XXI, 199(9-10), 40-47. doi: https://doi.org/10.21003/ea.V199-05
Priyono Priyono
MA (Agriculture),
Professor,
Lecturer,
Faculty of Agriculture,
Slamet Riyadi University
Surakarta, 57136, Indonesia (Corresponding author)
ir.priyono@gmail.com
ORCID ID: https://orcid.org/0000-0001-7283-7510
Sigit Handoko
MA (Pedagogy),
Senior Researcher,
Faculty of Education and Teacher Training,
PGRI University of Yogyakarta
Yogyakarta, 55182, Indonesia
msighand@gmail.com
ORCID ID: https://orcid.org/0000-0002-4822-1238
Rahayu Rahayu
MA (Agriculture),
Lecturer,
Faculty of Agriculture,
Sebelas Maret University
Surakarta, 57136, Indonesia
campine2011@gmail.com
ORCID ID: https://orcid.org/0000-0002-1065-1072
Sicilia Sawitri
MA (Pedagogy),
Lecturer,
Family Welfare Education, Technical Faculty,
Semarang State University (Universitas Negeri Semarang, UNNES)
Semarang, Central Java, 50229, Indonesia
sicilia.sawitri@mail.unnes.ac.id
ORCID ID: https://orcid.org/0000-0002-8369-6896
Fransiska Sinta Devi Murwaningtyas
MA (Economics),
Lecturer,
Agribusiness Department,
Faculty of Agriculture,
Sebelas Maret University
Surakarta, 57136, Indonesia
fransiskasintayahoo@gmail.com
ORCID ID: https://orcid.org/0000-0002-1417-0268
Determining mitigation on landslide prone level in watershed area: analysis of study on Samin Hulu Karanganyar District of Indonesia and its economic consequences
Abstract. Landslides in Indonesia have caused much damage and claimed lives inland, environment, people, and property. This study aims to identify and analyze the types of landslides, the factors causing landslides, and the impacts of landslide-prone impacts in determining food security and agricultural economics. The research method used was survey and laboratory analysis. The research was conducted in the Samin Hulu Tengah River Basin (Matesih and Karangpandan Districts) Karanganyar Regency, Central Java, Indonesia. The research data were obtained using field surveys and literature studies. The research data is in the form of thematic maps of the area, data on landslides in the watershed, soil samples analysis, and survey results. The results showed that the level of landslide-prone in Karangpandan District was higher than in Matesih District. The causes of landslides were triggered by higher rainfall, higher slopes, more dominant andesite rocks. In Karangpandan, there are five types of landslides, namely Landslides, Rocks, Subsidence, Landslides, and Soilcreep.
Regarding the methods of land management and food security, the analysis of the findings showed that the cultivation pattern, increasing soil fertility, landslide and water resources management had the greatest relationship with agricultural economy. Farmers who used the methods regarding landslide and water resources management had more safe and healthy access to food due to increased land quality and productivity. Therefore, it can be said that in order to increase the yield of agricultural products, increase food security and invest in this field, more support services should be provided to farmers and necessary measures should be taken for more participation and cooperation of farmers in the field of sustainable land management.
Keywords: Landslides; Agricultural Economics; Types of Landslides; Production Rate; Watersheds; Samin Hulu Karanganyar District; Indonesia
JEL Classification: A11; F11; Q14
Acknowledgements and Funding: The authors would like to thank Slamet Riyadi Surakarta University and the research parties who helped to complete this research.
Contribution: The authors contributed equally to this work.
Data Availability Statement: All data will be available upon request.
DOI: https://doi.org/10.21003/ea.V199-05
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Received 20.05.2022
Received in revised form 22.06.2022
Accepted 26.06.2022
Available online 29.10.2022