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Abstract

Indonesia's forests play a strategic role in maintaining ecosystem balance, but increasing deforestation and land degradation have increased the risk of environmental disasters, particularly flooding in Sumatra. As scientific attention has increased, research on Indonesian forests has grown rapidly but remains multidisciplinary and fragmented. This study aims to map the knowledge structure, thematic dynamics, and patterns of global collaboration in deforestation and disaster research in Indonesia, and to examine the integration of digital transformation into these studies. This study uses a descriptive quantitative approach through bibliometric analysis of 175 Scopus-indexed journal articles extracted using the keyword "Indonesian forest." The analysis was conducted using VOSviewer to map keyword co-occurrence and author collaboration by country, and to interpret the role of digital technologies such as Geographic Information Systems (GIS), remote sensing, and spatial analysis. The analysis shows that deforestation and forest fires are dominant themes closely related to disaster risk, air pollution, and health impacts. Digital technologies, particularly remote sensing and GIS, have become key methodological components in forest cover monitoring, carbon emission analysis, and flood-prone area mapping in Sumatra. Indonesia occupies a central position in global collaboration networks, with strong involvement from countries with high technological capacity, although the use of predictive and early warning systems remains relatively limited. The novelty of this research lies in the integration of bibliometric analysis with disaster and digital transformation perspectives, linking the thematic structure of research, international collaboration patterns, and their implications for flood mitigation in Sumatra. These findings provide important contributions to the development of forestry research and policy, and the strengthening of digital transformation in forest management and disaster risk reduction in Indonesia.

Keywords

Transformasi digital Hutan Indonesia Deforestasi Analisis bibliometrik Sistem Informasi Geografis (SIG) Digital Transformation Indonesian Forests Deforestation Bibliometric Analysis Geographic Information Systems (GIS)

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Copyright (c) 2026 Muslimin Mahmud, Asep Adang Supriyadi

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite
Mahmud, M., & Supriyadi, A. A. (2026). Peta Pengetahuan Penelitian Deforestasi dan Bencana di Indonesia: Analisis Bibliometrik dan Implikasi Transformasi Digital. PENDIPA Journal of Science Education, 10(1), 55–65. https://doi.org/10.33369/pendipa.10.1.55-65
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References

  1. Alhasan, M., & Hasaneen, M. (2021). Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic. Computerized Medical Imaging and Graphics, 91(May), 101933. https://doi.org/10.1016/j.compmedimag.2021.101933
  2. Blakeman, K. (2018). Bibliometrics in a digital age : help or hindrance. 101, 293–310. https://doi.org/10.3184/003685018X15337564592469
  3. Gumpenberger, C., Ovalle-Perandones, M. A., & Gorraiz, J. (2013). On the impact of Gold Open Access journals. Scientometrics, 96(1), 221–238. https://doi.org/10.1007/s11192-012-0902-7
  4. Gusain, H. S. (2019). Development of avalanche information system using remote sensing and GIS technology in the Indian Karakoram Himalaya. Current Science, 117(1), 104–109. https://doi.org/10.18520/cs/v117/i1/104-109
  5. Hallinger, P. (2020). Science mapping the knowledge base on educational leadership and management from the emerging regions of Asia, Africa and Latin America, 1965–2018. Educational Management Administration and Leadership, 48(2), 209–230. https://doi.org/10.1177/1741143218822772
  6. Hartshorn, G. S. (2004). Tropical Forest Ecosystems.
  7. Heo, S., & Lee, D. K. (2025). Assessing disasters in East Kalimantan: machine learning approaches for sustainable urban development. Environmental Research Letters , 20(10). https://doi.org/10.1088/1748-9326/adf97c
  8. Kipnis, D. G., & Brush, D. A. (2023). An Investigation of Gold Open Access Publications of STEM Faculty at a Public University in the United States. Science and Technology Libraries, 42(4), 417–427. https://doi.org/10.1080/0194262X.2023.2175103
  9. Marvi, R., & Foroudi, M. M. (2023). Bibliometric analysis: Main procedure and guidelines. Researching and Analysing Business: Research Methods in Practice, 43–54. https://doi.org/10.4324/9781003107774-4
  10. Meho, L. I. (2019). Using Scopus’s CiteScore for assessing the quality of computer science conferences. Journal of Informetrics, 13(1), 419–433. https://doi.org/10.1016/j.joi.2019.02.006
  11. Nababan, D., Rotua, T. N., & Perangin, P. A. B. R. (2024). Determining factors of preparedness of heads of families in facing flood disasters in river watersheds. IOP Conference Series: Earth and Environmental Science, 1314(1). https://doi.org/10.1088/1755-1315/1314/1/012103
  12. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Journal of Clinical Epidemiology, 134, 178–189. https://doi.org/10.1016/j.jclinepi.2021.03.001
  13. Sugiyono. (2013). Metode Penelitian Kuantitatif, Kualitatif dan R &. D. Alfabeta, cv.
  14. Thelwall, M., & Sud, P. (2022). Scopus 1900–2020: Growth in articles, abstracts, countries, fields, and journals. Quantitative Science Studies, 3(1), 37–50. https://doi.org/10.1162/qss_a_00177
  15. Wikipedia. (2025). Banjir dan longsor Sumatra 2025. Https://Id.Wikipedia.Org/Wiki/Banjir_dan_longsor_Sumatra_2025.
  16. Zhu, J., & Liu, W. (2020). A tale of two databases: the use of Web of Science and Scopus in academic papers. Scientometrics, 123(1), 321–335. https://doi.org/10.1007/s11192-020-03387-8