Smart Health Village in Improving Disaster Preparedness
DOI:
https://doi.org/10.30994/jnp.v7i2.491Keywords:
ability, disaster, preparedness, smart- health villageAbstract
Background: Disaster-prone areas are areas that have the potential for natural disasters such as earthquakes, mountain eruptions, landslides caused by activity or movement from the base of the earth. Understanding the potential for natural disasters in each region as one of the anticipatory steps to minimize the number of victims of natural disasters. Precise and accurate information is needed for disaster management. The slope of the area is quite steep, and road access to villages and tourist attractions is vulnerable to landslides. The current disaster incident information reporting system still applies the conventional model. The community also experiences difficulties in receiving information and submitting reports regarding village conditions.
Purpose: This research aims to analyze the effectiveness of smart health villages in improving disaster preparedness.
Method: The research design used a pre-experiment with a pre-test and post-test design approach with a sample size of 64 volunteers who were taken using purposive sampling. The independent variable in this study is Smart Health Village and the dependent variable is the voluntary task force's ability to preparedness disaster. The research instrument used a questionnaire for each variable. Data analysis in this study is the Wilcoxon Signed Rank Test. The implementation of this activity consists of the design stage, application creation, system design, socialization and training, and trial.
Results: The research results showed that the voluntary task force's preparedness was in a good category as much as 88% and as enough as 12% with p value = 0.000. This application system smart health village based on the web allows both the community (users), admin (task force), and verifiers (village officials) to access anywhere and at any time, thus increasing the capability and quality of human resources in disaster preparedness and disaster-prone areas.
Conclusion: Based on the results it can be concluded that smart health village can improve ability in preparedness of disaster in disaster- prone areas thus reducing impact of anxiety and and panic due to disaster.
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References
Aiken, S. R. (2004). Runaway fires, smoke-haze pollution, and unnatural disasters in Indonesia. Geographical Review, 94(1), 55–79. https://www.scopus.com/inward/record.uri?eid=2-s2.0-18844410090&partnerID=40&md5=02211c962e76dc044027857e7b94e152.
Alrazeeni, D. (2015). Saudi EMS Students’ Perception of and Attitudes toward Their Preparedness for Disaster Management. Journal of Education and Practice, 6(35), 110–116.
Birkmann, J., Buckle, P., Jaeger, J., Pelling, M., Setiadi, N., Garschagen, M., Fernando, N., & Kropp, J. (2010). Extreme events and disasters: A window of opportunity for change? Analysis of organizational, institutional and political changes, formal and informal responses after mega-disasters. Natural Hazards, 55(3), 637–655. https://doi.org/10.1007/s11069-008-9319-2.
Butt, S. (2014). Disaster management law in Indonesia: From response to preparedness? In Asia-Pacific Disaster Management: Comparative and Socio-Legal Perspectives (pp. 183–196). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-39768-4_9.
Chakrabhan, M. L. S., Chandra, V., Levav, I., Pengjuntr, W., Bhugra, D., Mendis, N., Naj, A., & Van Ommeren, M. (2005). Panel 2.6: Mental and psychosocial effects of the tsunami on the affected populations. Prehospital and Disaster Medicine, 20(6), 414–419. https://doi.org/10.1017/S1049023X00003010.
Chan, E. Y. Y., & Sondorp, E. (2007). Medical Interventions following Natural Disasters: Missing out on Chronic Medical Needs. Asia Pacific Journal of Public Health, 19(1_suppl), 45–51. https://doi.org/10.1177/101053950701901S08.
Chang, Y., Wilkinson, S., Potangaroa, R., & Seville, E. (2012). Resourcing for postdisaster reconstruction: A comparative study of Indonesia and China. Disaster Prevention and Management: An International Journal, 21(1), 7–21. https://doi.org/10.1108/09653561211202674.
Chapman, S. A., Crowe, R. P., & Bentley, M. A. (2016). Recruitment and Retention of New Emergency Medical Technician (EMT)-Basics and Paramedics. Prehosp Disaster Med, 31(S1), S70–S86. https://doi.org/10.1017/S1049023X16001084.
Grady, A., Gersonius, B., & Makarigakis, A. (2016). Taking stock of decentralized disaster risk reduction in Indonesia. Natural Hazards and Earth System Sciences, 16(9), 2145–2157. https://doi.org/10.5194/nhess-16-2145-2016.
Health aspects of disaster preparedness and response panel session 2: Seismic risks including tsunamis. (2006). Prehospital and Disaster Medicine, 21(SUPPL.3), s82–s86. https://doi.org/10.1017/S1049023X00015971.
Hu, C. (2018). “A jungle that is continually encroaching”: The time of disaster management. Environment and Planning D: Society and Space, 36(1), 96–113. https://doi.org/10.1177/0263775817729377.
Kennedy, P. J., Haertsch, P. A., & Maitz, P. K. (2005). The Bali burn disaster: Implications and lessons learned. Journal of Burn Care and Rehabilitation, 26(2), 125–131. https://doi.org/10.1097/01.BCR.0000155532.31639.0D.
Koesuma, S., Saido, A. P., & Fukuda, Y. (2016). Risk analysis of landslide disaster in Ponorogo, East Java, Indonesia (P. B., Ed.; Vol. 776, Issue 1). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/776/1/012123.
Lee, V. J., & Low, E. (2006). Coordination and resource maximization during disaster relief efforts. Prehospital and Disaster Medicine, 21(SUPPL.1), s8–s12. https://doi.org/10.1017/S1049023X00015818.
Li, Y., Turale, S., Stone, T. E., & Petrini, M. (2015). A grounded theory study of “turning into a strong nurse”: Earthquake experiences and perspectives on disaster nursing education. Nurse Education Today, 35(9), e43–e49. https://doi.org/10.1016/j.nedt.2015.05.020.
MacRae, G., & Hodgkin, D. (2011). Half full or half empty? Shelter after the Jogjakarta earthquake. Disasters, 35(1), 243–267. https://doi.org/10.1111/j.1467-7717.2010.01202.x.
Phelps, N. A., Bunnell, T., & Miller, M. A. (2011). Post-disaster economic development in Aceh: Neoliberalization and other economic-geographical imaginaries. Geoforum, 42(4), 418–426. https://doi.org/10.1016/j.geoforum.2011.02.006.
Saputra, R. W., & Supangkat, S. H. (2014). Intelligent Disaster Management System based on Service Engineering. 260–263. https://doi.org/10.1109/ICTSS.2014.7013184
Siciliano, M. D., & Wukich, C. (2017). Network Formation During Disasters: Exploring Micro-Level Interorganizational Processes and the Role of National Capacity. International Journal of Public Administration, 40(6), 490–503. https://doi.org/10.1080/01900692.2016.1140200.
Suciani, A., Islami, Z. R., Zainal, S., Sofiyan, & Bukhari. (2018). «Smong» as local wisdom for disaster risk reduction. 148(1). https://doi.org/10.1088/1755-1315/148/1/012005.
Taubenböck, H., Goseberg, N., Setiadi, N., Lämmel, G., Moder, F., Oczipka, M., Klüpfel, H., Wahl, R., Schlurmann, T., Strunz, G., Birkmann, J., Nagel, K., Siegert, F., Lehmann, F., Dech, S., Gress, A., & Klein, R. (2009). “Last-Mile” preparation for a potential disaster - Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia. Natural Hazards and Earth System Science, 9(4), 1509–1528. https://doi.org/10.5194/nhess-9-1509-2009.
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