Keterkaitan Resiliensi Dengan Kesiapsiagaan Masyarakat Dalam Menghadapi Bencana Banjir
DOI:
https://doi.org/10.47134/phms.v1i1.30Keywords:
Resiliensi', Kesiapsiagaan, Bencana BanjirAbstract
Bencana merupakan peristiwa yang berdampak pada kehidupan masyarakat salah satunya bencana banjir yang sering terjadi di Indonesia. Risiliensi menjadi salah satu kemampuan yang harus dimiliki masyarkat karena hal ini dapat mempengaruhi kesiapsiagaan. Tujuan penelitian ini untuk mengetahui hubungan resiliensi dengan kesiapsiagaan masyarakat dalam menghadapi bencana banjir. Penelitian ini menggunakan desain penelitian kolerasional dengan pendekatan Cross Sectional. Populasi dalam penelitian ini adalah masyarakat Dusun Gaplek RW 16 Desa Suci Kecamatan Panti. Teknik pengambilan sampel menggunakan simple random sampling dengan jumlah sampel 149 responden. Analisis data yang digunakan yaitu uji Korelasi Spearman rho untuk mengetahui adanya hubungan resiliensi dengan kesiapsiagaan. Hasil penelitian menunjukkan nilai p 0,007 < 0,05 yang artinya Ho di tolak sehingga terdapat hubungan resiliensi dengan kesiapsiagaan masyarakat dalam menghadapi bencana banjir.
References
Al-Suhili, R. (2019). An urban flash flood alert tool for megacities-Application for Manhattan, New York City, USA. Hydrology, 6(2). https://doi.org/10.3390/HYDROLOGY6020056
Azlina, F. A. (2021). Hubungan Kecerdasan Emosional Dengan Resiliensi Pada Wanita Pasca Bencana Banjir. Dunia Keperawatan, 9(3), 342. https://doi.org/10.20527/dk.v9i3.9731
BNPB. (2021). Indeks Resiko Bencana Indonesia (Vol.291).
Brown, J. M. (2021). Novel use of social media to assess and improve coastal flood forecasts and hazard alerts. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-93077-z
Daniel, A. E., & Mardiatmoko. (2019). Resiliensi Masyarakat Terhadap Banjir (Studi Kasus Desa Batu Merah Kecamatan Sirimau Kota Ambon). Agrilan J Agribisnis Kepul, 7(1), 88. https://doi.org/10.30598/agrilan.v7i1.890
Deviantony, F. (2020). Studi Fenomenologi: Pengalaman Resiliensi Petani Paska Banjir Dan. Jurnal Ilmu Keperawatan Dan Kesehatan, 9, 50–59. https://doi.org/https://doi.org/10.33475/jikmh
Douvinet, J. (2019). Do the sirens are useful to alert the populations during flash floods? Houille Blanche, 105(3), 84–92. https://doi.org/10.1051/lhb/2019026
Faktor yang mempengaruhi resiliensi klien dengan diabetes mellitus yang menjalani perawatan di rumah sakit Phc Surabaya. (2020). https://repository.unair.ac.id/96831/
Hayder, I. M. (2023). An Intelligent Early Flood Forecasting and Prediction Leveraging Machine and Deep Learning Algorithms with Advanced Alert System. Processes, 11(2). https://doi.org/10.3390/pr11020481
Jhangiani, J. (2004). Predicting earthquake preparedness: The roles of self-efficacy, previous experience, and expectation.
Kettig, P. (2021). THE SCO-FLOODDAM PROJECT: NEW OBSERVING STRATEGIES FOR FLOOD DETECTION, ALERT AND RAPID MAPPING. International Geoscience and Remote Sensing Symposium (IGARSS), 2021, 1464–1467. https://doi.org/10.1109/IGARSS47720.2021.9553036
Loftis, J. D. (2018). StormSense: A Blueprint for Coastal Flood Forecast Information & Automated Alert Messaging Systems. Proceedings - 2018 3rd International Workshop on Science of Smart City Operations and Platforms Engineering, in Partnership with Global City Teams Challenge, SCOPE-GCTC 2018, 12–17. https://doi.org/10.1109/SCOPE-GCTC.2018.00009
Lorini, V. (2020). Social media alerts can improve, but not replace hydrological models for forecasting floods. Proceedings - 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020, 351–356. https://doi.org/10.1109/WIIAT50758.2020.00050
Mattos, T. S. (2022). Towards reducing flood risk disasters in a tropical urban basin by the development of flood alert web application. Environmental Modelling and Software, 151. https://doi.org/10.1016/j.envsoft.2022.105367
McClain, J., Gullatt, K., & Lee, C. (2018). Resilience and protective factors in older adults. Graduate Master’s Theses, Capstone, Culminating Projects, 296. https://doi.org/https://doi.org/10.33015/dominican.edu/2018.OT.11
Misrha, S., & Suar, D. (2007). Experience and Preparedness. Psychology and Developing Societies. https://journals.sagepub.com/doi/abs/10.1177/097133360701900201?journalCode=pdsa
Mohamed, S. A. (2021). Development of a GIS-based alert system to mitigate flash flood impacts in Asyut governorate, Egypt. Natural Hazards, 108(3), 2739–2763. https://doi.org/10.1007/s11069-021-04799-2
Mourato, S. (2021). An interactive Web-GIS fluvial flood forecast and alert system in operation in Portugal. International Journal of Disaster Risk Reduction, 58. https://doi.org/10.1016/j.ijdrr.2021.102201
Panakka, P. (2019). Towards Enhanced Response: Integration of a Flood Alert System with Road Infrastructure Performance Models. Structures Congress 2019: Buildings and Natural Disasters - Selected Papers from the Structures Congress 2019, 294–305. https://doi.org/10.1061/9780784482223.029
Rashid, A. A. (2021). IoT-Based Flash Flood Detection and Alert Using TensorFlow. Proceedings - 2021 11th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2021, 80–85. https://doi.org/10.1109/ICCSCE52189.2021.9530926
Rath, S. (2022). IoT and ML based Flood Alert and Human Detection System. Proceedings - 4th International Conference on Smart Systems and Inventive Technology, ICSSIT 2022, 132–137. https://doi.org/10.1109/ICSSIT53264.2022.9716441
Rinaldi, R. (2011). Resiliensi pada masyarakat kota padang ditinjau dari jenis kelamin. Psikologi, 99–105. https://ejournal.gunadarma.ac.id/index.php/psiko/article/view/225
Salsabila, M. B., Hidayat, C. T., Adriani, S. W., & Asih, W. (2022). Hubungan mitigasi bencana dengan kesiapsiagaan masyarakat. Jurnal Ilmu Kesehatan, 5(2), 68–76.
Sanders, W. (2022). Data-Driven Flood Alert System (FAS) Using Extreme Gradient Boosting (XGBoost) to Forecast Flood Stages. Water (Switzerland), 14(5). https://doi.org/10.3390/w14050747
Shah, W. M. (2018). The implementation of an IoT-based Flood Alert System. International Journal of Advanced Computer Science and Applications, 9(11), 620–623. https://doi.org/10.14569/ijacsa.2018.091187
Suppakhun, Y. (2019). Flood surveillance and alert system an advance the IoT. Proceedings - APCCAS 2019: 2019 IEEE Asia Pacific Conference on Circuits and Systems: Innovative CAS Towards Sustainable Energy and Technology Disruption, 325–328. https://doi.org/10.1109/APCCAS47518.2019.8953179
Tseng, C. H. (2018). An automated image dehazing method for flood detection to improve flood alert monitoring system. Journal of the National Science Foundation of Sri Lanka, 46(3), 329–339. https://doi.org/10.4038/jnsfsr.v46i3.8485
Utami, D., Sari, D. K., Wulandari, R., & Istiqomah, A. R. (2021). Kesiapsiagaan Bencana Banjir Masyarakat Dusun Kesongo. Jurnal Ilmu Kesehatan Keperawatan, 17(1), 1. https://doi.org/10.26753/jikk.v17i1.544
Yulianti, D. D., Budhiana, J., & Arsy, M. D. N. (2022). Pengaruh Resiliensi Komunitas Terhadap Kesiapsiagaan Masyarakat Dalam Menghadapi Bencana Tanah Longsor Di Desa Girijaya Kecamatan Nagrak Kabupaten Sukabumi. Jurnal Ilmiah, 8(1).