Disaster preparedness in vulnerable rural communities: Integrating preparedness index and demographic variables in a post-landslide context
DOI:
https://doi.org/10.61511/calamity.v3i1.2025.2050Keywords:
BPBD (regional disaster management agency), community, disaster preparedness, landslides, risk evaluationAbstract
Background: Landslides are natural disasters that often result in significant human and material losses, especially in areas with unstable topography. In Jombang Regency, East Java, a major landslide occurred on January 28, 2014, killing 14 people and destroying infrastructure. This study aims to examine the level of disaster preparedness among the local community of Kopen Hamlet in anticipation of future landslides. Methods: This research employed a quantitative approach using survey and interview methods to collect primary data. A preparedness index was used to measure the readiness level of residents, while the Kolmogorov-Smirnov method was applied to test the normality of the data distribution based on demographic variables such as gender, age, and education. Findings: The study found that 68% of respondents were classified as sufficiently prepared, and 69% were nearly prepared depending on demographic factors. The Kolmogorov-Smirnov test yielded an Asymp. Sig (2-tailed) value of 0.063, indicating that the data were normally distributed. Preparedness levels were relatively consistent across different community groups. Conclusion: The results highlight the importance of demographic factors in community disaster preparedness and provide a foundation for targeted risk reduction interventions in similar vulnerable areas. Novelty/Originality of this article: This study uniquely integrates a preparedness index with demographic analysis in a post-disaster context, offering empirical insights from a localized rural community that has received limited prior research attention in Indonesian landslide risk studies.
References
Adinata, M. K., Mahmudi, A., & Pranoto, Y. A. (2025). Klasterisasi Daerah Rawan Bencana Alam Menggunakan Algoritma K-Means. Infotek, 8(1), 250–260. https://doi.org/10.29408/jit.v8i1.28196
Akyüz, D., & Başaran, İ. (2023). Afetlerde Yerel Yönetimlerin Rolü The Role Of Local Governments In Disasters. Kongre Künyesi.
Al Farisy, M. S., Hartono, R., Purwanto, P., & Susetyo, B. B. (2023). Pemetaan tingkat risiko bencana tanah longsor di Kecamatan Wonosalam Kabupaten Jombang. Jurnal Integrasi dan Harmoni Inovatif Ilmu-Ilmu Sosial, 3(7), 773–783. https://doi.org/10.17977/um063v3i7p773-783
Aziz, M. H. (2023). Komunikasi kebencanaan: Peran dan manfaat pada mitigasi. Communications, 5(1), 301-316. https://doi.org/10.21009/communications.5.1.2
BNPB. (2019). Buku Saku : Tanggap Tangkas Tangguh Menghadapi Bencana (Cetakan Keempat) - BNPB. In Badan Nasional Penanggulangan Bencana. https://bnpb.go.id/uploads/24/buku-data-bencana/6-buku-saku-cetakan-4-2019.pdf
BPS JOMBANG. (2023). Kecamatan Bareng dalam Angka (Hal. 136). BPS Kabupaten Jombang. https://jombangkab.bps.go.id
Budiastuti, D., & Bandur, A. (2018). Validitas dan Realibilitas Penelitian : Dilengkapi Analisis Dengan NVIVO, SPSS, Dan Amos. Mitra Wacana Media.
Fariza, A., Salsabila, F. Z., & Basofi, A. (2022). Flood Vulnerability Mapping in Lamongan District, Indonesia, using Fuzzy Analytical Hierarchy Process - Natural Breaks. 609–614. https://doi.org/10.1109/IES55876.2022.9888311
Fu, Q., & Zhang, X. (2024). Promoting community resilience through disaster education: Review of community-based interventions with a focus on teacher resilience and well-being. PLoS one, 19(1), e0296393. https://doi.org/10.1371/journal.pone.0296393
Gu, L., Chen, J., Yin, J., Slater, L.J., Wang, H.M., Guo, Q., Feng, M., Qin, H. & Zhao, T. (2022). Global increases in compound flood‐hot extreme hazards under climate warming. Geophysical Research Letters, 49(8), e2022GL097726. https://doi.org/10.1029/2022GL097726
Sholikah, S. N. H., Prambudi, S. K. N., Effendi, M. Y., Safira, L., Alwinda, N., & Setiaji, R. (2021). Analisis kesiapsiagaan dan mitigasi bencana tanah longsor di Kabupaten Ponorogo. JPIG (Jurnal Pendidikan Dan Ilmu Geografi), 6(1), 81-90. https://doi.org/10.21067/jpig.v6i1.5278
Janna, N. M., & Herianto. (2021). Konsep Uji Validitas Dan Reliabilitas Dengan Menggunakan SPSS. Jurnal Darul Dakwah Wal-Irsyad (DDI), 18210047, 1–12. https://doi.org/10.31219/osf.io/v9j52
Kesumaningtyas, M. A., Hafida, S. H. N., & Musiyam, M. (2022, February). Analysis of disaster literacy on student behavioral responses in efforts to reduce earthquake disaster risk at SMA Negeri 1 Klaten. In IOP Conference Series: Earth and Environmental Science (Vol. 986, No. 1, p. 012013). IOP Publishing. https://doi.org/10.1088/1755-1315/986/1/012013
Manfreda, S., Iacobellis, V., Gioia, A., Fiorentino, M., & Kochanek, K. (2018). The Impact of Climate on Hydrological Extremes. Water, 10(6), 802. https://doi.org/10.3390/W10060802
Nizar, Y. A., Susilawati, M., & Srinadi, I. G. A. M. (2023). A Pemodelan Jumlah Kejadian Banjir Di Kabupaten Dan Kota Provinsi Jawa Timur Dengan Metode Geographically Weighted Regression (GWR). E-Jurnal Matematika, 12(3), 227. https://doi.org/10.24843/mtk.2023.v12.i03.p423
Putra, A. W. S., & Podo, Y. (2017). Faktor-faktor yang mempengaruhi tingkat pengetahuan masyarakat dalam mitigasi bencana alam tanah longsor. Urecol 6th, 305–314. http://journal.unimma.ac.id/index.php/urecol/article/view/1549
Ratnawati, E., Nurwidiya, G. R., Muhammad, I., Lailissama, M. N. E., Anwar, Y., & Setyasih, I. (2021). Analisis dampak tanah longsor terhadap pengguna jalan di Teluk Bajau kota Samarinda. Proceedings Seminar Nasional Pendidikan Matematika, Sains, geografi, Dan Komputer, 2(1), 72–76. https://doi.org/10.30872/msgk.v2i1.741
Santoso, H., Nugroho, W., Sunarto, S., & Surtinah, N. (2021). Monograf 5 Parameter Kesiapsiagaan Bencana Berbasis Masyarakat (Nomor January 2023).
Sopha, B. M. (2022). Coordination Mechanism among Key Players during Disaster Relief Operations: A Case Study. In Proceedings of the 7th North American International Conference on Industrial Engineering and Operations Management (pp. 1941-1950). https://ieomsociety.org/proceedings/2022orlando/440.pdf
Sopha, B. M. (2023). Barriers to Coordination Among Humanitarian Organizations: Insights from Practitioners in a Developing Country. In 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 0475-0479). IEEE. https://doi.org/10.1109/IEEM58616.2023.10406797
Statistik, B. P. (2023). Jumlah Desa/Kelurahan yang Mengalami Bencana Alam Tanah Longsor Menurut Kabupaten/Kota di Provinsi Jawa Timur, 2019-2021. https://jatim.beta.bps.go.id/id/statistics-table/1/MzAzOCMx/jumlah-desa-kelurahan-yang-mengalami-bencana-alam-tanah-longsor-menurut-kabupaten-kota-di-provinsi-jawa-timur--2019-2021.html
Stott, P. A. (2016). How climate change affects extreme weather events. Science, 352(6293), 1517–1518. https://doi.org/10.1126/SCIENCE.AAF7271
Susanti, I., & Saumi, F. (2022). Penerapan Metode Analisis Regresi Linear Berganda Untuk Mengatasi Masalah Multikolinearitas Pada Kasus Indeks Pembangunan Manusia (Ipm) Di Kabupaten Aceh Tamiang. Gamma-Pi: Jurnal Matematika dan Terapan, 4(2), 38–42. https://doi.org/10.33059/jgp.v4i2.5591
Tabari, H. (2020). Climate change impact on flood and extreme precipitation increases with water availability. Scientific Reports, 10(1), 13768. https://doi.org/10.1038/S41598-020-70816-2
Wardhani, B. A. K., Fariza, A., & Prasetyaningrum, I. (2022, August). Hydrometeorological Disaster Vulnerability Mapping in East Java Using Hierarchical Clustering. In 2022 International Electronics Symposium (IES) (pp. 615-621). IEEE. https://doi.org/10.1109/IES55876.2022.9888403
Widyasari, N., & Setyoningsih, W. (2020). Pendidikan kebencanaan dan partisipasi masyarakat dalam program kelurahan tangguh bencana di Kelurahan Kebondalem Kecamatan Kota Kendal Kabupaten Kendal. Edu Geography, 8(3), 213-217. https://journal.unnes.ac.id/sju/edugeo/article/view/41203
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