Analysis of Economic Vulnerability to Disaster Threats in Batu City

Firre An Suprapto(1), Bambang Juanda(2), Ernan Rustiadi(3), Khursatul Munibah(4),


(1) IPB University
(2) IPB University
(3) IPB University
(4) IPB University

Abstract

Geographically, Indonesia is located on three of the world's main tectonic plates and has 127 active volcanoes, making it highly vulnerable to natural disasters. In addition to natural disasters, Indonesia is also facing the Covid-19 disaster, which has greatly affected the tourism sector. Batu City is one of the leading tourism areas. Because Batu City is prone to disasters, this will certainly have an impact on the economy of the people of Batu City. Therefore, this study aims to analyze economic vulnerability due to disasters and the role of institutions in dealing with them. This research is a case study that uses a quantitative and qualitative approach, using the results of respondent interviews, ArcMap 10.3, ILWIS software, and MACTOR. The results obtained are that the disasters that have the most severe impact on the economic vulnerability of Batu City are droughts and earthquakes. In addition, other results also show that the role of institutions has not been good enough in creating institutional strategies in Batu City. Based on the modeling results using MACTOR, it is known that the disaster management efforts carried out by the tourism object and the Regional Apparatus Organization (OPD) agree and support the implementation of these efforts.

Keywords

disaster-resilient tourism area, disaster vulnerability index, economic vulnerability, tourism sector

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References

Arianpour, M., Jamali, A. (2015). Flood Hazard Zonation Using Spatial Multi-Criteria Evaluation (SMCE) In GIS (Case Study: Omidieh-Khuzestan). European Online Journal Of Natural And Social Science, 4, 39-49.

ASEAN Secretariat. (2020). ASEAN Statistical Yearbook 2020. ASEAN, Editor: Jakarta.

Batu City Government. (2019). The Medium Term Regional Development Plan (RPJMD) Of Batu City For 2017-2022. https://www.batukota.go.id/

BNBP. (2012). Vulnerability Calculation Methodology BNPB Regulation Number 02 Of 2012. https://inarisk.bnpb.go.id/metodologi

BNPB. (2021a). Indonesia Disaster Risk Index 2020. Indonesian National Board For Disaster Management: Jakarta.

BPS East Java Province. (2020). Tourism Statistics Of East Java Province 2019. https://jatim.bps.go.id/

Bunruamkaew, K., Murayam Y. (2011). Site Suitability Evaluation For Ecotourism Using GIS & AHP: A Case Study of Surat Thani Province, Thailand. Procedia: Social and Behavioral Sciences, 21, 269-278.

Dai, F., Lee C., Zhang X. (2001). GIS-Based Geoenvironmental Evaluation For Urban Landuse Planning. Journal Of Engineering Geologi, 61, 257-271.

Firdaus, H., Sukojo, B. (2015). Mapping Of Landslide Prone Areas With Remote Sensing Methods And Spatial Based Operations. Geoscientific Journal, 1, 25-34.

Ismail, M., Mawardi, M., Iqbal, M. (2017). Analysis Of The Socio-Economic Impact Of Batu City Tourism Development For The Surrounding Area (Study In Karangploso District, Malang Regency). J Adm Bisnis, 51(1), 1–7.

Jatim Pos. (2021). A Year Of Covid, This Is The Contribution Of East Java Tourism To GRDP. https://www.jatimpos.co/

Jayanthi, J., Raj, T., Gandhi, M. (2016). Identification Of Landslide-Prone Areas Us-Ing Remote Sensing Techniques In Sillahallawatershed, Nilgiris District, Tamilnadu, India. International Journal Of Engineering And Technology, 3, 1947-1952.

Juanda, B. (2009). Econometrics Modeling And Estimation. IPB Press: Bogor.

Kumar, M., Murthy, C., Seshasai, M., Roy, P. (2009). On The Use Of Standardized Precipitation Index (SPI) For Drought Intensity Assessment. Meteorological Applications: A Journal Of Forecasting, Practical Applications, Training Tech-Niques And Modelling, 16, 381-389.

Lillesand, T., Kiefer, R., Chipman, J. (2004). Remote Sensing And Image Interpretation: Fifth Edition. John Wiley & Sons: New York.

Livada, I., & Assimakopoulos, V. (2007). Spatial And Temporal Analysis Of Drought In Greece Using The Standardized Precipitation Index (SPI). Theoretical And Applied Climatology, 89, 143-153.

Ministry Of Tourism And Creative Economy Of The Republic Of Indonesia. (2012). Menparekraf Supports The Development Of Greater Malang And Batu Tourism City. https://kemenparekraf.go.id/

Natalia, M. (2018). The Influence Of The Tourism Sector On Community Welfare In Greater Malang. J Ilm Mhs FEB Univ Brawijaya, 6(2).

Nefeslioglu, H., Sezer, E., Gokceoglu, C., Bozkir, A., Duman, T. (2009). Landslide Susceptibility Mapping Of A Landslide-Prone Area By Data Mining. Mathematicl Problems In Engineering, 2010, 1-15.

Pambudi, N., Jalilinasrabady, S. (2018). Sustainability Of Geothermal Power Plant Combined With Thermodynamic And Silica Scaling Model. Geothermics, 71, 108-117.

Romli, M., Hutagaol, M., Priyarsono, D. (2016). Structural Transformation: Factors And Their Impact On Income Disparities In Madura. Journal Of Economics And Development Policy Bogor Agricultural University, 5, 25-44.

Sharma, G., Thomas, A., Paul, J. (2021). Reviving Tourism Industry Post-COVID-19: A Resilience-Based Framework. Tour Manag Perspec, 37, 100786. https://doi:10.1016/j.tmp.2020.100786.

Turkes, M., Tatli, S. (2009). Use Of The Standardized Precipitation Index (SPI) And Modified SPI For Shaping The Drought Probabilities Over Turkey. International Journal Of Climatology, 29, 2270-2282.

UN OCHA. (2021). Action Plan On Covid-19 And Natural Disaster Responses. https://reliefweb.int/report/indonesia/action-plan-covid-19-and-natural-disaster-responses-january-june-2021

World Health Organization. (2021). Coronavirus Disease (COVID-19) Pandemic. https://www.who.int/emergencies/diseases/novel-coronavirus-2019

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