Analyzing the impact of disaster-related factors on student preparedness using Structural Equation Modelling

Authors

  • Arinda Soraya Putri Universitas Muhammadiyah Surakarta http://orcid.org/0000-0003-2840-3576
  • Adryan Rizky Martin
  • Eko Setiawan
  • Afiqoh Akmalia Fahmi
  • Munajat Tri Nugroho
  • Evitania Salmadita Putri
  • Yuda Aditiya Pratama

Keywords:

Disaster management, Disaster preparedness, Religiosity structural equation modeling

Abstract

This study aims to analyse the relationship of disaster factors to the level of preparedness of students in Central Java in facing disasters. This research uses quantitative methods, because data collection in research is related to numbers and uses statistical analysis. The quantitative approach in this study uses the Structural Equation Modelling (SEM) method. Sampling was carried out by purposive sampling method or an assessment that was taken if it met certain criteria in accordance with the research topic, the sample used was 361 respondents. The method used in this research is SEM analysis, which is a multivariate statistical technique that analyses the relationship between variables. Independent variables include knowledge, attitude, policy, environment, training and religiosity. The dependent variable is preparedness. The results of research from independent variables that have an effect and have a positive direction are the attitude variable with a T-statistic value of 7,357, the training variable with a T-statistic value of 4,839 and the religiosity variable with a T-statistic value of 2,352. Variables that have a positive direction, but no effect are the knowledge variable and the policy variable.

Author Biography

Arinda Soraya Putri, Universitas Muhammadiyah Surakarta

Department of Industrial Engineering

References

[1] A. C. Utomo, “BNPB Verifies 5,402 Disaster Events throughout 2021,” Disasters 2021, 2022. https://bnpb.go.id/berita/bnpb-verifikasi-5-402-kejadian-bencana-sepanjang-tahun-2021.

[2]: Wulan Mahardhika Gerungan, “Disaster Management at the Post-Disaster Stage According to Law Number 24 of 2007 concerning Disaster Management,” Lex Soc., vol. 7, no. 9, pp. 79–87, 2020.

[3] D. Suhardjo, “The Importance of Disaster Mitigation Education in Reducing Disaster Risk,” J. Educ. Horizons, no. 2, pp. 174–188, 2011, doi: 10.21831/cp.v0i2.4226.

[4] S. Nurjanah and E. Mursalin, “The Importance of Land Landslide Natural Disaster Mitigation: A Study of Student Perceptions,” J. Basicedu, vol. 6, no. 1, pp. 515–523, 2021, doi: 10.31004/basicedu.v6i1.1937.

[5] S. Ramadhan, E. Sukma, and V. Indriyani, “Environmental education and disaster mitigation through language learning,” IOP Conf. Ser. Earth Environ. Sci., vol. 314, no. 1, 2019, doi: 10.1088/1755-1315/314/1/012054.

[6] B. Aviantono, “Analysis of Mitigation Management on Community Attitudes in Flood Prevention in Mustika Jaya Village, Bekasi, West Java,” J. Parameters, vol. 6, no. 2, 2021.

[7] H. Cahyono, “Student’s role in society,” J. Community Serv., vol. 1, no. 1, pp. 32–43, 2019, doi: 10.4000/adlfi.2398.

[8] Y. Yari, “Relationship between Knowledge Level and Attitude with Flood Disaster Preparedness among Health Students in DKI Jakarta,” J. Holist. Heal., vol. 5, no. 2, pp. 52–62, 2021, doi: 10.33377/jkh.v5i2.100.

[9] P. T. Sani, “Analysis of Factors Affecting the Public in Adopting Online Ticketing Technology: Using the Technology Acceptance Model,” Unika Repos., pp. 44–55, 2018.

[10] M. Pradana and A. Reventiary, “The Effect of Product Attributes on Purchasing Decisions for Customade Brand Shoes (Study at the Customade Indonesia Trademark),” J. Manage., vol. 6, no. 1, pp. 1–10, 2016, doi:10.26460/jm.v6i1.196.

[11] A. Purwanto and Y. Sudargini, “Partial Least Squares Structural Squation Modeling (PLS-SEM) Analysis for Social and Management Research : A Literature Review,” J. Ind. Eng. Manag. Res., vol. 2, no. 4, pp. 114–123, 2021.

[12] M. Sarstedt, J. F. Hair, C. Nitzl, C. M. Ringle, and M. C. Howard, “Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!,” Int. J. Mark. Res., vol. 62, no. 3, pp. 288–299, 2020, doi: 10.1177/1470785320915686.

[13] A. Amankwaa, M. A. Gyensare, and P. Susomrith, “Transformational leadership with innovative behaviour: Examining multiple mediating paths with PLS-SEM,” Leadersh. Organ. Dev. J., vol. 40, no. 4, pp. 402–420, 2019, doi: 10.1108/LODJ-10-2018-0358.

[14] E. Edeh, W.-J. Lo, and J. Khojasteh, Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. 2022. doi: 10.1080/10705511.2022.2108813.

[15] R. D. A. P. Satriyono and D. S. Ramadani, “Residential’s Household Intention to Utilize Their Food: A Case Study in Solo, Indonesia,” IOP Conf. Ser. Earth Environ. Sci., vol. 1256, no. 1, 2023, doi: 10.1088/1755-1315/1256/1/012003.

[16] M. Asbari, P. B. Santoso, and A. Purwanto, “The Effect of Leadership and Organizational Culture on Innovative Work Behavior in Industry 4.0,” Jim UPB, vol. 8, no. 1, pp. 7–15, 2019, doi: ttps://doi.org/10.33884/jimupb.v8i1.1562.

[17] L. Ariyani and K. R. Ririh, “Understanding Behavior of Household Food Waste Management: Food Waste Hierarchy Context,” J. Ilm. Tek. Ind., vol. 19, no. 2, pp. 142–154, 2020, doi: 10.23917/jiti.v19i2.11994.

[18] F. Yusup, “Validity and Reliability Test of Quantitative Research Instruments,” Jorpres (Jurnal Olahraga Prestasi), vol. 7, no. 1, pp. 17–23, 2018, doi: 10.21831/jorpres.v13i1.12884.

[19] M. Djunaidi and R. D. Gunari, “Analysis of Factors Affecting Consumer Satisfaction Using SEM (Structural Equation Modeling) Method,” Opsi, vol. 15, no. 1, p. 85, 2022, doi: 10.31315/opsi.v15i1.6808.

[20] D. L. Trenggonowati and K. Kulsum, “Factor Analysis of Optimizing the Golden Age of Early Childhood Case Study in Cilegon City,” J. Ind. Serv., vol. 4, no. 1, pp. 48–56, 2018, doi: 10.36055/jiss.v4i1.4088.

[21] S. Zuhri, A. Andriansyah, D. Asmadi, and S. Khajar, “Analysis of Delivery Service Industry Customer Loyalty Using Structural Equation Modeling,” J. Ilm. Tek. Ind., vol. 15, no. 2, p. 101, 2017, doi: 10.23917/jiti.v15i2.2558.

[22] D. L. Setyowati, Disaster Education. 2019.

[23] F. Rosida and K. R. Adi, “Exploratory Study of Knowledge and Attitudes towards Flood Disaster Preparedness at Pilanggede Elementary School, Balen District, Bojonegoro Regency,” J. Teor. dan Praksis Pembelajaran IPS, vol. 2, no. 1, pp. 1–5, 2017, doi: 10.17977/um022v2i12017p001.

[24] K. Sinaga, “Sustainable development for disaster prevention based on community empowerment in Indonesia,” no. November, pp. 72–79, 2021.

[25] Nasruddin, M. Efendi, and S. Karani, “School Participation in Disaster Resilient Learning Communities,” vol. 7, no. 2, pp. 97–109, 2022.

[26] J. Bertauli, M. C. Handini, T. R. Sinaga, N. E. B. Brahmana, and Y. G. Tarigan, “Relationship between reading interest and training with disaster preparedness knowledge,” Prepotif J. Kesehat. Masy., vol. 6, no. 2, pp. 1588–1594, 2022, doi: 10.31004/prepotif.v6i2.5034.

[27] N. Yoni, “The Effect of Religiosity, Service Quality, Product Quality on Savings Customer Loyalty at Pt. Bank Aceh Syariah Darussalam Sub-Branch Office,” Al - Muamalat J. Huk. dan Ekon. Syariah, vol. 4, no. 2, pp. 101–120, 2019, doi: 10.32505/muamalat.v4iii.1377.

[28] L. Yuliardian, “The Effect of Providing Books on the Knowledge of Health Cadres in Karangcegak Village, Kutasari District,” pp. 11–27, 2019.

Downloads

Published

2025-06-30