Indonesia, as an archipelagic country located on the Pacific Ring of Fire, faces a high risk of natural disasters, including earthquakes, tsunamis and volcanic eruptions. Sulawesi Island, which frequently experiences disasters, is the focus of this research to analyze trends and map knowledge related to disaster mitigation. The aim of this research is to highlight the effectiveness of existing mitigation strategies and identify areas that require further attention. The method used is bibliometric analysis with VOSviewer software, using Publish or Perish 8, of key terms in scientific literature. Data includes articles published between 2019 and 2024, with strict inclusion criteria to ensure relevance to disaster mitigation in Sulawesi. Research findings show that the four main types of disasters are floods, landslides, volcanic eruptions and tsunamis. disaster mitigation in Sulawesi. In addition, there is a lack of knowledge and implementation of sustainable mitigation strategies, as well as the need for active involvement of local communities in mitigation programs. The implications of this research emphasize the importance of evaluating existing disaster mitigation programs and more effective development policies, which can increase community preparedness and resilience to disasters. It is hoped that this research can make a significant contribution to efforts to reduce disaster risk in the region, as well as encourage collaboration between government, institutions and society in improving disaster mitigation.

Keywords: Bibliometric; disaster mitigation; mapping; natural disasters; Sulawesi

References

Akter, S., & Wamba, S. F. (2017). Big data and disaster management: A systematic review and agenda for future research. Annals of Operations Research 2017 283:1, 283(1), 939–959. https://doi.org/10.1007/S10479-017-2584-2

Albris, K., Lauta, K. C., & Raju, E. (2020). Disaster knowledge gaps: Exploring the interface between science and policy for disaster risk reduction in Europe. International Journal of Disaster Risk Science, 11, 1–12.

Astuti, N. M. W., Werdhiana, I. K., & Wahyono, U. (2021). Impacts of direct disaster experience on teachers’ knowledge, attitudes and perceptions of disaster risk reduction curriculum implementation in Central Sulawesi, Indonesia. International Journal Of Disaster Risk Reduction, 53. https://doi.org/10.1016/j.ijdrr.2020.101992

Aziz, M. A. A. (2022). A Literature Review and Bibliometric Analysis of Mind and Artificial Consciousness Worldwide Over The Year 2000–2022. Ebangi:Journal of Social Sciences and Humanities, 19(5), 1–23.

Barnes, B., Dunn, S., & Wilkinson, S. (2019). Natural hazards, disaster management and simulation: a bibliometric analysis of keyword searches. Natural Hazards, 97, 813–840.

Bouyerbou, H., Bechkoum, K., & Lepage, R. (2019). Geographic ontology for major disasters: Methodology and implementation. International Journal of Disaster Risk Reduction, 34, 232–242.

Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597.

Bukvic, A., Rohat, G., Apotsos, A., & de Sherbinin, A. (2020). A systematic review of coastal vulnerability mapping. Sustainability, 12(7), 2822.

Cariolet, J.-M., Vuillet, M., & Diab, Y. (2019). Mapping urban resilience to disasters–A review. Sustainable Cities and Society, 51, 101746.

Chmutina, K., & Von Meding, J. (2019). A dilemma of language:“Natural disasters” in academic literature. International Journal of Disaster Risk Science, 10, 283–292.

Cui, P., Peng, J., Shi, P., Tang, H., Ouyang, C., Zou, Q., Liu, L., Li, C., & Lei, Y. (2021). Scientific challenges of research on natural hazards and disaster risk. Geography and Sustainability, 2(3), 216–223.

Dai, S., Duan, X., & Zhang, W. (2020). Knowledge map of environmental crisis management based on keywords network and co-word analysis, 2005–2018. Journal of Cleaner Production, 262, 121168.

Demiroz, F., & Haase, T. W. (2020). The concept of resilience: a bibliometric analysis of the emergency and disaster management literature. In Local Disaster Management (pp. 16–35). Routledge.

Fereday, J., & Muir-Cochrane, E. (2006). Demonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme development. International Journal of Qualitative Methods, 5(1), 80–92.

Ganiyu, M. A., Mohammed, R., & Ismail, A. (2017). Disaster Risk Reduction: Framing of Flood Disaster in Nigerian Newspapers. Ebangi:Journal of Social Sciences and Humanities 12(1).

Ismiati, F., Damayanti, A., & Dimyati, M. (2020). Determining location of tsunami disaster temporary evacuation shelter (TES) utilizes network analysis in City of Makassar, South Sulawesi Province. IOP Conference Series: Earth and Environmental Science, 500(1), 12062.

Izumi, T., Shaw, R., Djalante, R., Ishiwatari, M., & Komino, T. (2019). Disaster risk reduction and innovations. Progress in Disaster Science, 2, 100033.

Jafari, H., Jonidi Jafari, A., Nekoei-Moghadam, M., & Goharinezhad, S. (2019). The use of uncertain scenarios in disaster risk reduction: a systematic review. Foresight, 21(3), 409–418.

Jalinur, J., & Rahmi, R. (2022). Disaster Management of Archives in Indonesia: A Systematic Literature Review. Diplomatika: Jurnal Kearsipan Terapan, 4(2), 86. https://doi.org/10.22146/diplomatika.64756

Jiang, Y., Ritchie, B. W., & Benckendorff, P. (2019). Bibliometric visualisation: An application in tourism crisis and disaster management research. Current Issues in Tourism, 22(16), 1925–1957.

Kankanamge, N., Yigitcanlar, T., Goonetilleke, A., & Kamruzzaman, M. (2019). Can volunteer crowdsourcing reduce disaster risk? A systematic review of the literature. International Journal of Disaster Risk Reduction, 35, 101097.

Kucharczyk, M., & Hugenholtz, C. H. (2021). Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities. Remote Sensing of Environment, 264, 112577.

Latifah, R., Baddalwan, R., Meilina, P., Saputra, A. D., & Adharani, Y. (2021). Sentiment analysis of Covid-19 vaccines from Indonesian tweets and news headlines using various machine learning techniques. 2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS, 69–73.

Le Cozannet, G., Kervyn, M., Russo, S., Ifejika Speranza, C., Ferrier, P., Foumelis, M., Lopez, T., & Modaressi, H. (2020). Space-based earth observations for disaster risk management. Surveys in Geophysics, 41, 1209–1235.

Li, J., Goerlandt, F., & Reniers, G. (2021). An overview of scientometric mapping for the safety science community: Methods, tools, and framework. Safety Science, 134, 105093.

Liu, H., Hong, R., Xiang, C., Lv, C., & Li, H. (2020). Visualization and analysis of mapping knowledge domains for spontaneous combustion studies. Fuel, 262, 116598.

Liu, J., Wu, D., Ren, Z., Chen, J., Guo, P., Yin, G., Ran, H., Li, C., & Su, G. (2022). Coseismic surface rupture and related disaster during the 2018 Mw 7.5 Palu earthquake, Sulawesi Island, Indonesia. Atlas of Structural Geological and Geomorphological Interpretation of Remote Sensing Images, 185–195.

Manan, A., Puspitafuri, C., Pertiwi, I. I., & Chahyani, R. (2023). Identification of Peak Ground Acceleration and hazard potency of earthquake disaster on the mainland surface of Wangi-Wangi Island, Wakatobi Regency, Southeast Sulawesi, Indonesia. Journal of Physics: Conference Series, 2498(1), 12040.

Mendonca, J., Andrade, E., Endo, P. T., & Lima, R. (2019). Disaster recovery solutions for IT systems: A Systematic mapping study. Journal of Systems and Software, 149, 511–530.

Mohd Bakri, M. A., Sabran, M. K., & Ab Razak, A. (2024). Mapping the Palette: A Bibliometric Journey into Art in Health Research. Ebangi:Journal of Social Sciences and Humanities, 21(2).

Nalau, J., & Verrall, B. (2021). Mapping the evolution and current trends in climate change adaptation science. Climate Risk Management, 32, 100290.

Opabola, E. A., Galasso, C., Rossetto, T., Meilianda, E., Idris, Y., & Nurdin, S.(2023). Investing in disaster preparedness and effective recovery of school physical infrastructure. International Journal of Disaster Risk Reduction, 90, 103623.

Rana, I. A. (2020). Disaster and climate change resilience: A bibliometric analysis. International Journal of Disaster Risk Reduction, 50, 101839.

Ritchie, B. W., & Jiang, Y. (2021). Risk, crisis and disaster management in hospitality and tourism: a comparative review. International Journal of Contemporary Hospitality Management, 33(10), 3465–3493.

Royani, Y., & Idhani, D. (2018). Analisis bibliometrik jurnal marine research in Indonesia. Media Pustakawan, 25(4), 60–65.

Sangkala, M. S., & Gerdtz, M. F. (2018). Disaster preparedness and learning needs among community health nurse coordinators in South Sulawesi Indonesia. Australasian Emergency Care, 21(1), 23–30.

Santos, A. J. G., Membrebe Jr, Z., & Ancheta, A. (2020). Economic Resiliency Model for Disaster Mitigation in Floating Barangays of Malolos City, Bulacan, Philippines. OIDA International Journal of Sustainable Development, 13(08), 39–54.

Sendjaja, P., Suparka, E., Abdullah, C. I., & Sucipta, I. G. B. E. (2020). Characteristic of the Mount Colo Volcano, Una-Una Island, Central Sulawesi Province: Tectonic Evolution and Disaster Mitigation. IOP Conference Series: Earth and Environmental Science, 589(1), 12005.

Sharma, T. P. P., Zhang, J., Koju, U. A., Zhang, S., Bai, Y., & Suwal, M. K. (2019). Review of flood disaster studies in Nepal: A remote sensing perspective. International Journal of Disaster Risk Reduction, 34, 18–27.

Shi, P., Ye, T., Wang, Y., Zhou, T., Xu, W., Du, J., Wang, J., Li, N., Huang, C., & Liu, L. (2020). Disaster risk science: A geographical perspective and a research framework. International Journal of Disaster Risk Science, 11, 426–440.

Shultz, J. M., Cohen, M. A., Hermosilla, S., Espinel, Z., & McLean, A. (2016). Disaster risk reduction and sustainable development for small island developing states. Disaster Health, 3(1), 32–44. https://doi.org/10.1080/21665044.2016.1173443

Sovacool, B. K., Tan-Mullins, M., & Abrahamse, W. (2018). Bloated bodies and broken bricks: Power, ecology, and inequality in the political economy of natural disaster recovery. World Development, 110, 243–255.

Sublime, J., & Kalinicheva, E. (2019). Automatic post-disaster damage mapping using deep-learning techniques for change detection: Case study of the Tohoku tsunami. Remote Sensing, 11(9), 1123.

Sweileh, W. M. (2019). A bibliometric analysis of health-related literature on natural disasters from 1900 to 2017. Health Research Policy and Systems, 17, 1–11.

Trias, A. P. L., & Cook, A. D. B. (2021). Future directions in disaster governance: Insights from the 2018 Central Sulawesi Earthquake and Tsunami response. International Journal of Disaster Risk Reduction, 58, 102180.

Usman, S., HS, A. J., & Maulana, A. (2022). Tectonically-controlled disaster risk assessment study along Palu-Koro Fault in Donggala Regency, Central Sulawesi: Record from 2018 earthquake effect. Jurnal Geomine, 10(3), 188–198.

Wekke, I. S., Sabara, Z., Samad, M. A., Yani, A., Abbas, T., & Umam, R. (2019). Earthquake, tsunami, and society cooperation: Early findings in palu of indonesia post disaster.

Yong, C., Jinlong, D., Fei, G., Bin, T., Tao, Z., Hao, F., Li, W., & Qinghua, Z. (2022). Review of landslide susceptibility assessment based on knowledge mapping. Stochastic Environmental Research and Risk Assessment, 36(9), 2399–2417.

Zhang, C., Fan, C., Yao, W., Hu, X., & Mostafavi, A. (2019). Social media for intelligent public information and warning in disasters: An interdisciplinary review. International Journal of Information Management, 49, 190–207.

Zwęgliński, T. (2020). The use of drones in disaster aerial needs reconnaissance and damage assessment–three-dimensional modeling and orthophoto map study. Sustainability, 12(15), 6080.