DOI : https://doi.org/10.62527/ijasce.5.2.108

Coping Capacity Model on Landslide Response Using OLR

Ani Apriani (1), Bayurohman Pangacella Putra (2), Muhammad Ikrom Fahrurrozi (3), Shintia Pratiwi Hentihu (4)
(1) Institut Teknologi Nasional Yogyakarta
(2) Institut Teknologi Nasional Yogyakarta
(3) Institut Teknologi Nasional Yogyakarta
(4) Institut Teknologi Nasional Yogyakarta
Fulltext View | Download
How to cite (IJASEIT) :
Apriani, A., Putra, B. P., Fahrurrozi, M. I., & Hentihu, S. P. (2023). Coping Capacity Model on Landslide Response Using OLR. International Journal of Advanced Science Computing and Engineering, 5(2), 86–94. https://doi.org/10.62527/ijasce.5.2.108
Citation Format :
The community's unpreparedness for landslides that often occur suddenly has a big impact. This is due to community's ignorance of the symptoms and preventive measures. The improvement coping capacity in landslide-prone areas is important to mitigate the disaster. It is important to know the Coping Capacity in order to give recommendation in improvement of community’s ability on landslide disaster. Thus, this study aims to construct the model coping capacity using Ordinal Logistic Regression (OLR).  The model is conducted using OLS by look at the influence of mitigation knowledge, action plans and local wisdom on general knowledge about risks and efforts to save from disasters. The primary data is taken from  Sidoharjo, Yogyakarta where  86,17 %  in high potential landslide to the total area is 1113,99 Ha. The results are two model logistic of the coping capacity. The first result is the risks disaster model logistic with chi-square deviance value is 74.085 and sign level is 0.99. The second is the effort to save from the disaster model logistic with with chi-square deviance value is 70.492 and sign level is 0.901.  It can be said that the model is well to be used to modelled the coping capacity in Sidoharjo which the most influential on risks and efforts to save from disasters are mitigation knowledge and action plans, respectively. 

M. Taqiuddin et al., “Community-Based Social Services for Livelihood Recovery after Disaster: Evidence from Post Earthquakes, Lombok, Indonesia,†Proc. 2nd Annu. Conf. Educ. Soc. Sci. (ACCESS 2020), vol. 556, no. 24, pp. 538–544, 2021, doi: 10.2991/assehr.k.210525.145.

U. Dasanayaka and Y. Matsuda, “Role of social capital in local knowledge evolution and transfer in a network of rural communities coping with landslide disasters in Sri Lanka,†Int. J. Disaster Risk Reduct., vol. 67, p. 102630, 2022, doi: 10.1016/j.ijdrr.2021.102630.

BNPB, “Indonesia Disaster Data,†2022. https://gis.bnpb.go.id/ (accessed Nov. 02, 2021).

H. Tjahjono, Suripin, and Kismartini, “Community Capacity in the Face of Landslide Hazards in the Southern of Semarang City,†E3S Web Conf., vol. 31, pp. 1–7, 2018, doi: 10.1051/e3sconf/20183109018.

B.-S. Indonesia, Statistical Yearbook if Indonesia 2021. Jakarta: BPS-Statistics Indonesia, 2021.

BPBD DIY, “DIBI Daerah Istimewa Yogyakarta,†2021. http://bpbd.jogjaprov.go.id/assets/public/DIBI Yogya_2020.pdf (accessed Nov. 13, 2021).

BNPB, “Disaster-Prone Areas of Kulon Progo Regency,†2018. https://drive.google.com/file/d/1tO59xZT0U176_JhsVtpmeZlh7qxboSJ8/view (accessed Nov. 13, 2021).

BPS, Samigaluh Subdistrict in Figure. BPS-Statistics of Kulon Progo Regency, 2020.

J. Nugraha, F. Nugraheni, and I. N. Kurniawan, “Model Kapasitas Masyarakat Dalam Menghadapi Bencana Menggunakan Analisis Regresi Logistik Ordinal,†J. Eksakta, vol. 16, no. 1, pp. 17–26, 2016, doi: 10.20885/eksakta.vol16.iss1.art3.

E. Alam and N. S. Ray-Bennett, “Disaster risk governance for district-level landslide risk management in Bangladesh,†Int. J. Disaster Risk Reduct., vol. 59, no. March, p. 102220, 2021, doi: 10.1016/j.ijdrr.2021.102220.

B. Wisdom Girigiri and B. Wisdom, “Organizational Effectiveness in Disaster Management: a Critical Review of Disaster Management Cycle,†Print) Int. J. Soc. Sci. Humanit. Res., vol. 7, no. March, pp. 142–149, 2022, [Online]. Available: www.researchpublish.com.

J. Maes et al., “Questioning network governance for disaster risk management: Lessons learnt from landslide risk management in Uganda,†Environ. Sci. Policy, vol. 85, no. April, pp. 163–171, 2018, doi: 10.1016/j.envsci.2018.04.002.

A. Apriani, B. P. Putra, M. Alfariji, J. Al Habib, and P. T. Trisnaning, “Analytic Hierarchy Process pada Evaluasi Kejadian Longsor di Kecamatan Samigaluh Kulon Progo, D.I. Yogyakarta,†Multi-Criteria Decis. Anal. Methods Softw., vol. 13, no. 2, pp. 59–70, 2022, doi: 10.1002/9781118644898.ch2.

R. Haigh, D. Amaratunga, and K. Hemachandra, “A capacity analysis framework for multi-hazard early warning in coastal communities,†Procedia Eng., vol. 212, no. 2017, pp. 1139–1146, 2018, doi: 10.1016/j.proeng.2018.01.147.

S. Jülich, “Towards a Local-Level Resilience Composite Index: Introducing Different Degrees of Indicator Quantification,†Int. J. Disaster Risk Sci., vol. 8, no. 1, pp. 91–99, 2017, doi: 10.1007/s13753-017-0114-0.

J. Bhowmik, H. M. Irfanullah, and S. A. Selim, “Empirical evidence from Bangladesh of assessing climate hazard-related loss and damage and state of adaptive capacity to address them,†Clim. Risk Manag., vol. 31, no. January, p. 100273, 2021, doi: 10.1016/j.crm.2021.100273.

H. Setiawan, “Analysis of coping strategies and the level of local community ’ s capacity towards landslide- a cas,†Penelit. Sos. dan Ekon. Kehutan., vol. 11, no. 1, pp. 70–81, 2014.

J. Nugraha, F. Nugraheni, and I. N. Kurniawan, “Model Kapasitas Masyarakat Dalam Menghadapi Bencana Menggunakan Analisis Regresi Logistik Ordinal,†J. Eksakta, vol. 16, no. 1, pp. 16–26, 2016, doi: 10.20885/eksakta.vol16.iss1.art3.

W. Eridiana and N. Nandi, “Study on community capacity of south lampung in dealing with disaster,†IOP Conf. Ser. Earth Environ. Sci., vol. 683, no. 1, 2021, doi: 10.1088/1755-1315/683/1/012083.

N. Hamid, “Study of Community Capacity in Dealing with The Threat of Shore Erosion in Kragan Subdistrict Rembang District,†Pancar. Pendidik., vol. 7, no. 3, pp. 57–70, 2018, doi: 10.25037/pancaran.v7i3.193.

A. Apriani, B. P. Putra, J. A. Habib, and M. Alfariji, “The effect of land use conversion on landslides risk in protected function areas: Case study in Samigaluh district, Kulon progo regency, Yogyakarta, Indonesia,†IOP Conf. Ser. Earth Environ. Sci., vol. 672, no. 1, 2021, doi: 10.1088/1755-1315/672/1/012010.

A. Apriani and B. P. Putra, “Analisis Alih Fungsi Lahan Menggunakan Regresi Logistik Ordinal,†J. Sains Teknol. Lingkung., vol. 7, no. 2, pp. 173–184, 2022, doi: 10.29303/jstl.v7i2.227.

V. M. Cvetković, J. Tanasić, A. Ocal, Ž. Kešetović, N. Nikolić, and A. Dragašević, “Capacity development of local self-governments for disaster risk management,†Int. J. Environ. Res. Public Health, vol. 18, no. 19, 2021, doi: 10.3390/ijerph181910406.

M. D. Begg, An introduction to categorical data analysis (2nd edn). Alan Agresti, John Wiley & Sons, Inc., Hoboken, New Jersey, 2007. No. of Pages: 400. Price: $100.95. ISBN: 978-0-471-22618-5, vol. 28, no. 11. 2009.

R. Nurmalasari and D. Ispriyanti, “Analisis Faktor-Faktor Yang Mempengaruhi Indeks Pembangunan Manusia (IPM),†Bul. Ilm. Math.Stat dan Ter., vol. 8, no. 1, pp. 111–120, 2019, [Online]. Available: http://ejournal-s1.undip.ac.id/index.php/gaussian.