Journal Evaluation in Education (JEE)
Journal Evaluation in Education (JEE)

an Open Access Journal

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Journal Evaluation in Education (JEE)

an Open Access Journal

Development of Digital Disaster Mitigation Map: Learning Innovations in Identifying Disaster Prone Points

Teuku Hasan Basri
Samudra University ROR
Indonesia
t.hasanbasri@unsam.ac.id
Ilyas Ilyas
Universtas Jabal Ghafur
Indonesia
Nuraini Nuraini
Samudra University ROR
Indonesia
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  • Purpose of the study: This research aims to develop digital-based learning media in the form of Disaster Mitigation Maps as a learning resource in identifying disaster-prone areas in Langsa City. With the increasing risk of natural disasters such as floods, landslides, tsunamis, earthquakes, forest and land fires, and thawing disasters, innovation is needed in delivering disaster mitigation information that is more interactive and easily accessible.

    Methodology: The research method used is Research and Development (R&D) with the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) development model. Data was collected through observations, interviews, and questionnaires involving disaster experts, educators, and students as the main respondents.

    Main Findings: The results of the study show that the Digital Disaster Mitigation Map can improve students' understanding in identifying disaster-prone areas and mitigation measures that need to be taken. This media is also considered effective and attractive based on the results of expert validation and user trials.

    Novelty/Originality of this study: This study found that the Digital Disaster Mitigation Map was effective in increasing students' understanding of disaster-prone areas in Langsa City with an increase in understanding from 60% to 85%, and was considered innovative and effective by 90% of teachers compared to conventional methods.

  • How to cite

    [1]
    “Development of Digital Disaster Mitigation Map: Learning Innovations in Identifying Disaster Prone Points”, Jor. Eva. Edu, vol. 6, no. 2, pp. 501–516, Apr. 2025, doi: 10.37251/jee.v6i2.1504.

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    1. R. Djalante and F. Thomalla, “Disaster risk reduction and climate change adaptation in Indonesia,” Int. J. Disaster Resil. Built Environ., vol. 3, no. 2, pp. 166–180, Jul. 2012, doi: 10.1108/17595901211245260. DOI: https://doi.org/10.1108/17595901211245260
    2. R. Djalante, “Review article: A systematic literature review of research trends and authorships on natural hazards, disasters, risk reduction and climate change in Indonesia,” Nat. Hazards Earth Syst. Sci., vol. 18, no. 6, pp. 1785–1810, Jun. 2018, doi: 10.5194/nhess-18-1785-2018. DOI: https://doi.org/10.5194/nhess-18-1785-2018
    3. P. R. Cummins, “Geohazards in Indonesia: Earth science for disaster risk reduction – introduction,” Geol. Soc. London, Spec. Publ., vol. 441, no. 1, pp. 1–7, Jan. 2017, doi: 10.1144/SP441.11. DOI: https://doi.org/10.1144/SP441.11
    4. R. Djalante and M. Garschagen, “A Review of Disaster Trend and Disaster Risk Governance in Indonesia: 1900–2015,” 2017, pp. 21–56. doi: 10.1007/978-3-319-54466-3_2. DOI: https://doi.org/10.1007/978-3-319-54466-3_2
    5. M. A. Marfai et al., “Natural hazards in Central Java Province, Indonesia: an overview,” Environ. Geol., vol. 56, no. 2, pp. 335–351, Nov. 2008, doi: 10.1007/s00254-007-1169-9. DOI: https://doi.org/10.1007/s00254-007-1169-9
    6. R. Djalante, “Identifying Drivers, Barriers and Opportunities for Integrating Disaster Risk Reduction and Climate Change Adaptation in Indonesia: An Analysis Based on the Earth System Governance Framework,” 2013, pp. 131–147. doi: 10.1007/978-3-642-31110-9. DOI: https://doi.org/10.1007/978-3-642-31110-9_9
    7. M. Mojtahedi and B. L. Oo, “Critical attributes for proactive engagement of stakeholders in disaster risk management,” Int. J. Disaster Risk Reduct., vol. 21, pp. 35–43, Mar. 2017, doi: 10.1016/j.ijdrr.2016.10.017. DOI: https://doi.org/10.1016/j.ijdrr.2016.10.017
    8. M. A. Seddiky, H. Giggins, and T. Gajendran, “International principles of disaster risk reduction informing NGOs strategies for community based DRR mainstreaming: The Bangladesh context,” Int. J. Disaster Risk Reduct., vol. 48, p. 101580, Sep. 2020, doi: 10.1016/j.ijdrr.2020.101580. DOI: https://doi.org/10.1016/j.ijdrr.2020.101580
    9. S. V. R. K. Prabhakar, A. Srinivasan, and R. Shaw, “Climate change and local level disaster risk reduction planning: need, opportunities and challenges,” Mitig. Adapt. Strateg. Glob. Chang., vol. 14, no. 1, pp. 7–33, Jan. 2009, doi: 10.1007/s11027-008-9147-4. DOI: https://doi.org/10.1007/s11027-008-9147-4
    10. H. Fahlevi, M. Indriani, and R. S. Oktari, “Is the Indonesian disaster response budget correlated with disaster risk?,” Jàmbá J. Disaster Risk Stud., vol. 11, no. 1, Nov. 2019, doi: 10.4102/jamba.v11i1.759. DOI: https://doi.org/10.4102/jamba.v11i1.759
    11. S. Arifin, S. S. Wicaksono, S. Sumarto, M. Martitah, and D. Sulistianingsih, “Disaster resilient village-based approach to disaster risk reduction policy in Indonesia: A regulatory analysis,” Jàmbá J. Disaster Risk Stud., vol. 13, no. 1, Jun. 2021, doi: 10.4102/jamba.v13i1.1021. DOI: https://doi.org/10.4102/jamba.v13i1.1021
    12. A. Triyanti et al., “Governing systemic and cascading disaster risk in Indonesia: where do we stand and future outlook,” Disaster Prev. Manag. An Int. J., vol. 32, no. 1, pp. 27–48, Jun. 2023, doi: 10.1108/DPM-07-2022-0156. DOI: https://doi.org/10.1108/DPM-07-2022-0156
    13. M. J. Crozier, “Deciphering the effect of climate change on landslide activity: A review,” Geomorphology, vol. 124, no. 3–4, pp. 260–267, Dec. 2010, doi: 10.1016/j.geomorph.2010.04.009. DOI: https://doi.org/10.1016/j.geomorph.2010.04.009
    14. M. K. Van Aalst, “The impacts of climate change on the risk of natural disasters,” Disasters, vol. 30, no. 1, pp. 5–18, Mar. 2006, doi: 10.1111/j.1467-9523.2006.00303.x. DOI: https://doi.org/10.1111/j.1467-9523.2006.00303.x
    15. K. Yasuhara, H. Komine, S. Murakami, G. Chen, Y. Mitani, and D. M. Duc, “Effects of climate change on geo-disasters in coastal zones and their adaptation,” Geotext. Geomembranes, vol. 30, pp. 24–34, Feb. 2012, doi: 10.1016/j.geotexmem.2011.01.005. DOI: https://doi.org/10.1016/j.geotexmem.2011.01.005
    16. E. Derbyshire, “Geological hazards in loess terrain, with particular reference to the loess regions of China,” Earth-Science Rev., vol. 54, no. 1–3, pp. 231–260, Jun. 2001, doi: 10.1016/S0012-8252(01)00050-2. DOI: https://doi.org/10.1016/S0012-8252(01)00050-2
    17. B. Kusumasari, “Natural Hazards Governance in Indonesia,” in Oxford Research Encyclopedia of Natural Hazard Science, Oxford University Press, 2019. doi: 10.1093/acrefore/9780199389407.013.234. DOI: https://doi.org/10.1093/acrefore/9780199389407.013.234
    18. E. Setiawan and W. Ade Fitriani, “Disaster Mitigation Strategies Based on Risk Matrix and House of Risk (HoR) Phase 2,” J. Pengelolaan Sumberd. Alam dan Lingkung. (Journal Nat. Resour. Environ. Manag., vol. 14, no. 2, p. 341, Jun. 2024, doi: 10.29244/jpsl.14.2.341. DOI: https://doi.org/10.29244/jpsl.14.2.341
    19. E. Setiawan, Fathkurohman, I. Pratiwi, M. F. Sufa, A. A. Fahmi, and A. Fauzi, “A proposal of disaster mitigation strategies for Boyolali Regency, Indonesia using risk matrix and house of risk phase 2,” 2024, p. 030020. doi: 10.1063/5.0182250. DOI: https://doi.org/10.1063/5.0182250
    20. D. I. Pambudi and A. Ashari, “Enhancing role of elementary school in developing sustainable disaster preparedness: a review with some examples from disaster-prone areas of Merapi,” IOP Conf. Ser. Earth Environ. Sci., vol. 271, no. 1, p. 012016, Jun. 2019, doi: 10.1088/1755-1315/271/1/012016. DOI: https://doi.org/10.1088/1755-1315/271/1/012016
    21. E. T. Paripurno, W. Putra, and W. S. Triadi, “Disaster risk assessment Magetan Regency, East Java,” 2023, p. 070009. doi: 10.1063/5.0135163. DOI: https://doi.org/10.1063/5.0135163
    22. K. Uddin and M. A. Matin, “Potential flood hazard zonation and flood shelter suitability mapping for disaster risk mitigation in Bangladesh using geospatial technology,” Prog. Disaster Sci., vol. 11, p. 100185, Oct. 2021, doi: 10.1016/j.pdisas.2021.100185. DOI: https://doi.org/10.1016/j.pdisas.2021.100185
    23. D. Ayuningtyas, S. Windiarti, M. S. Hadi, U. U. Fasrini, and S. Barinda, “Disaster Preparedness and Mitigation in Indonesia: A Narrative Review,” Iran. J. Public Health, Jul. 2021, doi: 10.18502/ijph.v50i8.6799. DOI: https://doi.org/10.18502/ijph.v50i8.6799
    24. R. Yusuf, Razali, Sanusi, Maimun, I. Fajri, and S. A. Gani, “Disaster education in disaster-prone schools: a systematic review,” IOP Conf. Ser. Earth Environ. Sci., vol. 1041, no. 1, p. 012034, Jun. 2022, doi: 10.1088/1755-1315/1041/1/012034. DOI: https://doi.org/10.1088/1755-1315/1041/1/012034
    25. M. Fuady, R. Munadi, and M. A. K. Fuady, “Disaster mitigation in Indonesia: between plans and reality,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1087, no. 1, p. 012011, Feb. 2021, doi: 10.1088/1757-899X/1087/1/012011. DOI: https://doi.org/10.1088/1757-899X/1087/1/012011
    26. E.-M. Unger, J. Zevenbergen, R. Bennett, and C. Lemmen, “Application of LADM for disaster prone areas and communities,” Land use policy, vol. 80, pp. 118–126, Jan. 2019, doi: 10.1016/j.landusepol.2018.10.012. DOI: https://doi.org/10.1016/j.landusepol.2018.10.012
    27. M. N. I. Sarker, Y. Peng, C. Yiran, and R. C. Shouse, “Disaster resilience through big data: Way to environmental sustainability,” Int. J. Disaster Risk Reduct., vol. 51, p. 101769, Dec. 2020, doi: 10.1016/j.ijdrr.2020.101769. DOI: https://doi.org/10.1016/j.ijdrr.2020.101769
    28. V. Gil‐Rivas and R. P. Kilmer, “Building Community Capacity and Fostering Disaster Resilience,” J. Clin. Psychol., vol. 72, no. 12, pp. 1318–1332, Dec. 2016, doi: 10.1002/jclp.22281. DOI: https://doi.org/10.1002/jclp.22281
    29. A. Keating et al., “Disaster resilience: what it is and how it can engender a meaningful change in development policy,” Dev. Policy Rev., vol. 35, no. 1, pp. 65–91, Jan. 2017, doi: 10.1111/dpr.12201. DOI: https://doi.org/10.1111/dpr.12201
    30. T. Izumi, R. Shaw, R. Djalante, M. Ishiwatari, and T. Komino, “Disaster risk reduction and innovations,” Prog. Disaster Sci., vol. 2, p. 100033, Jul. 2019, doi: 10.1016/j.pdisas.2019.100033. DOI: https://doi.org/10.1016/j.pdisas.2019.100033
    31. W. Miller, “What does built environment research have to do with risk mitigation, resilience and disaster recovery?,” Sustain. Cities Soc., vol. 19, pp. 91–97, Dec. 2015, doi: 10.1016/j.scs.2015.07.004. DOI: https://doi.org/10.1016/j.scs.2015.07.004
    32. R. Suwaileh, T. Elsayed, M. Imran, and H. Sajjad, “When a disaster happens, we are ready: Location mention recognition from crisis tweets,” Int. J. Disaster Risk Reduct., vol. 78, p. 103107, Aug. 2022, doi: 10.1016/j.ijdrr.2022.103107. DOI: https://doi.org/10.1016/j.ijdrr.2022.103107
    33. Z. Vojinovic et al., “Holistic approach to flood risk assessment in areas with cultural heritage: a practical application in Ayutthaya, Thailand,” Nat. Hazards, vol. 81, no. 1, pp. 589–616, Mar. 2016, doi: 10.1007/s11069-015-2098-7. DOI: https://doi.org/10.1007/s11069-015-2098-7
    34. F. Parvin, S. Najmul Islam Hashmi, and S. A. Ali, “Appraisal of infrastructural amenities to analyze spatial backwardness of Murshidabad district using WSM and GIS-based kernel estimation,” GeoJournal, vol. 86, no. 1, pp. 19–41, Feb. 2021, doi: 10.1007/s10708-019-10057-7. DOI: https://doi.org/10.1007/s10708-019-10057-7
    35. S. Sugiyanto, C. Muryani, and D. Ni’matussyahara, “Strengthening student empathy in GeoCapabilities: Digital learning innovations and pedagogical strategies for disaster mitigation,” Contemp. Educ. Technol., vol. 16, no. 3, p. ep521, Aug. 2024, doi: 10.30935/cedtech/14913. DOI: https://doi.org/10.30935/cedtech/14913
    36. R. AlAli, “Enhancing 21st century skills through integrated stem education using project-oriented problem-based learning,” Geoj. Tour. Geosites, vol. 53, no. 2, pp. 421–430, Jun. 2024, doi: 10.30892/gtg.53205-1217. DOI: https://doi.org/10.30892/gtg.53205-1217
    37. I. Jakab, M. Zigová, and Z. Pucherová, “Modernization of Environmental Education with the Use of Project-Based Learning, Outdoor Education, and Mobile Learning Supported by Information and Communication Technology,” 2019, pp. 223–248. doi: 10.1007/978-3-030-05026-9_13. DOI: https://doi.org/10.1007/978-3-030-05026-9_13
    38. A. Hikmawati, I. D. Pursitasari, D. Ardianto, and S. Kurniasih, “Development of Digital Teaching Materials on Earthquake Themes to Improve STEM Literacy,” J. Phys. Conf. Ser., vol. 1521, p. 042053, Mar. 2020, doi: 10.1088/1742-6596/1521/4/042053. DOI: https://doi.org/10.1088/1742-6596/1521/4/042053
    39. E. López-Caudana et al., “A Personalized Assistance System for the Location and Efficient Evacuation in Case of Emergency: TECuidamos, a Challenge-Based Learning Derived Project Designed to Save Lives,” Sustainability, vol. 14, no. 9, p. 4931, Apr. 2022, doi: 10.3390/su14094931. DOI: https://doi.org/10.3390/su14094931
    40. K. Meechang, N. Leelawat, J. Tang, A. Kodaka, and C. Chintanapakdee, “The Acceptance of Using Information Technology for Disaster Risk Management: A Systematic Review,” Eng. J., vol. 24, no. 4, pp. 111–132, Jul. 2020, doi: 10.4186/ej.2020.24.4.111. DOI: https://doi.org/10.4186/ej.2020.24.4.111
    41. S. E. Atmojo, A. Rusilowati, S. I. A. Dwiningrum, and M. Skotnicka, “The Reconstruction of Disaster Knowledge through Thematic Learning of Science, Environment, Technology, and Society Integrated with Local Wisdom,” J. Pendidik. IPA Indones., vol. 7, no. 2, pp. 204–213, Jul. 2018, doi: 10.15294/jpii.v7i2.14273. DOI: https://doi.org/10.15294/jpii.v7i2.14273
    42. D. Sargiotis, “Integrating Digital Transformation and AI in Civil Engineering: A Multidisciplinary Approach to Disaster Management and Sustainable Urban Development,” SSRN Electron. J., 2024, doi: 10.2139/ssrn.4789752. DOI: https://doi.org/10.2139/ssrn.4789752
    43. C.-L. Kao et al., “The development of new remote technologies in disaster medicine education: A scoping review,” Front. Public Heal., vol. 11, Mar. 2023, doi: 10.3389/fpubh.2023.1029558. DOI: https://doi.org/10.3389/fpubh.2023.1029558
    44. A. Laosunthara, N. Leelawat, T. Ohashi, T. Sararit, M. Srivichai, and J. Tang, “Awareness of Disaster Risk and Preparedness: Insights from a Survey of Children and Adults in Thailand,” in 2024 23rd International Symposium on Communications and Information Technologies (ISCIT), IEEE, Sep. 2024, pp. 122–127. doi: 10.1109/ISCIT63075.2024.10793697. DOI: https://doi.org/10.1109/ISCIT63075.2024.10793697
    45. H. Jati, M. I. Mahali, and S. Agung Dewanto, “Information System for Disaster Mitigation Using Google Data Traffic,” J. Phys. Conf. Ser., vol. 2111, no. 1, p. 012017, Nov. 2021, doi: 10.1088/1742-6596/2111/1/012017. DOI: https://doi.org/10.1088/1742-6596/2111/1/012017
    46. S. Shaddiq, Khuzaini, and M. Irpan, “Governance of Human Resources Management in the Digital Era,” J. Bus. Manag. Stud., vol. 5, no. 3, pp. 80–96, Jun. 2023, doi: 10.32996/jbms.2023.5.3.8. DOI: https://doi.org/10.32996/jbms.2023.5.3.8
    47. D. Zou, M. S.-Y. Jong, X. Huang, G. Cheng, G.-J. Hwang, and M. Y.-C. Jiang, “A systematic review of SVVR in language education in terms of the ADDIE model,” Interact. Learn. Environ., vol. 32, no. 10, pp. 6672–6697, Nov. 2024, doi: 10.1080/10494820.2023.2277747. DOI: https://doi.org/10.1080/10494820.2023.2277747
    48. Y. Mudjisusatyo, D. Darwin, and K. Kisno, “The use ADDIE model to improve the competence of the higher education task force in obtaining competitive funding for the independent campus program,” J. Appl. Res. High. Educ., Oct. 2024, doi: 10.1108/JARHE-12-2023-0580. DOI: https://doi.org/10.1108/JARHE-12-2023-0580
    49. P. A. D. Anggraini and D. B. K. N. S. Putra, “Developing Learning Video with Addie Model on Science Class For 4 th Grade Elementary School Students,” 2021. doi: 10.2991/assehr.k.210407.273. DOI: https://doi.org/10.2991/assehr.k.210407.273
    50. A. N. P. Nugroho, R. I. Adeduntan, and A. A. Tariq, “General Soedirman: History Learning Media Based on Digital Comics,” J. Eval. Educ., vol. 5, no. 1, pp. 10–16, Jan. 2024, doi: 10.37251/jee.v5i1.839. DOI: https://doi.org/10.37251/jee.v5i1.839
    51. A. T. Wahyuni and Y. Witanto, “Integrated Volume Card Game Make A Match Learning Model: Improving Motivation of Learning Outcomes of the Concept of Spatial Building,” J. Eval. Educ., vol. 6, no. 1, pp. 166–176, Jan. 2025, doi: 10.37251/jee.v6i1.1385. DOI: https://doi.org/10.37251/jee.v6i1.1385
    52. S. Arikunto, Prosedur Penelitian Suatu Pendekatan Praktik. Jakarta, 2010.
    53. Badan Penanggulangan Bencana Daerah Kota Langsa, “Kajian Risiko Bencana Kota Langsa 2025-2029,” Langsa, 2024. [Online]. Available: https://data.langsakota.go.id/dataset/cb0e0033-b245-43ec-a744-7119cbaf7841/resource/9497e583-9149-4b7a-937a-57f61705a147/download/dokumen-kajian-risiko-bencana-kota-langsa-3-1.pdf
    54. M. A. J. Daulay, A. Yuhdi, and A. C. K. Azis, “Interactive H5P Framework-Based E-Learning Content in Artificial Intelligence Lectures of Indonesian Language and Literature,” J. Eval. Educ., vol. 6, no. 1, pp. 249–260, Jan. 2025, doi: 10.37251/jee.v6i1.1428. DOI: https://doi.org/10.37251/jee.v6i1.1428
    55. A. Arsyad, Media Pembelajaran. Jakarta: Rajawali Pers, 2017.
    56. D. Purnamasari and N. Nugraheni, “Analisis Permasalahan Siswa Pada Proses Pembelajaran Daring Kelas 2, 3 dan 4 di SDN Mangkang Kulon 01,” in Pendidikan Guru Sekolah Dasar Menyongsong Society 5.0, Palangka Raya: Institut Agama Hindu Negeri Tampung Penyang Palangka Raya, 2020, pp. 31–45. doi: 10.33363/sn.v0i0.35.
    57. Rachmawati, R. Wijayanti, and E. D. Kartika, Media Mobile Learningpada Matematika: Berbasis Pendidikan Karakter Dalam Menunjang Revitalisasi SMK. Malang: MNC Publishing, 2021.
    58. J. Paul et al., “Digital transformation: A multidisciplinary perspective and future research agenda,” Int. J. Consum. Stud., vol. 48, no. 2, Mar. 2024, doi: 10.1111/ijcs.13015. DOI: https://doi.org/10.1111/ijcs.13015
    59. H. Keshavarz, “Evaluating credibility of social media information: current challenges, research directions and practical criteria,” Inf. Discov. Deliv., vol. 49, no. 4, pp. 269–279, Nov. 2021, doi: 10.1108/IDD-03-2020-0033. DOI: https://doi.org/10.1108/IDD-03-2020-0033