SISTEM MITIGASI LONGSOR BERBASIS INTERNET OF THINGS (IoT) PADA KELOMPOK SI BEJO DI KELURAHAN KALIREJO, KULON PROGO
SISTEM MITIGASI LONGSOR BERBASIS INTERNET OF THINGS (IoT) PADA KELOMPOK SI BEJO DI KELURAHAN KALIREJO, KULON PROGO
DOI:
https://doi.org/10.32497/bangunrekaprima.v12i1.7523Keywords:
Landslide mitigation, Internet of Things, vulnerability maps, evacuation, KalirejoAbstract
Kalirejo Village, Kokap Subdistrict, Kulon Progo Regency, is one of the areas with a high level of vulnerability to landslides due to the geological conditions and hilly topography as well as high rainfall. The lack of vulnerability zoning maps and evacuation routes makes it difficult for the community to take quick and appropriate mitigation measures. This Community Service Program (PkM) aims to develop a landslide mitigation system based on Internet of Things (IoT) technology through the Sibejo Rescue application and by installing evacuation signs at strategic points. The implementation method includes a field survey to identify locations prone to landslides, soil characteristic testing, vulnerability mapping using a Geographic Information System (GIS), designing the IoT-based Sibejo Rescue application, testing the application with village officials, and installing evacuation route signs and assembly points. The results of the activity showed that the landslide vulnerability map was successfully compiled into three categories (low, medium, high) and integrated into the Sibejo Rescue application. Limited trials with village officials showed that the application can display spatial information in the form of vulnerability maps, evacuation routes, and shelter points functionally. In addition, the installed evacuation signs facilitate the identification of Rescue routes when a disaster occurs. The conclusion of this activity is that the integration of vulnerability maps, IoT applications, and evacuation signs can be a first step towards improving landslide mitigation in Kalirejo, although broader public awareness campaigns are still needed in the next phase
References
BPBD. (2024). Data dan Informasi Bencana di Kulon Progo. https://bpbd.jogjaprov.go.id
Fajarwati, Y., Elviana, & Nugroho, R. T. (2025). Assessing Landslide Potential Using Geotechnical Parameters and Annual Rainfall Data: A Case Study in Kalirejo Village. IOP Conference Series: Earth and Environmental Science, 1564(1), 012066. https://doi.org/10.1088/1755-1315/1564/1/012066
Lapietra, I., Colacicco, R., Rizzo, A., & Capolongo, D. (2024). Mapping Social Vulnerability to Multi-Hazard Scenarios: A GIS-Based Approach at the Census Tract Level. Applied Sciences (Switzerland), 14(11). https://doi.org/10.3390/app14114503
Mohi, S., Din, U., & Wani, M. U. (2024). IoT-Powered Disaster Management: Uses, Unresolved Problems, And Difficulties. International Journal of Progressive Research in Engineering Management and Science, 339–350. https://doi.org/10.58257/ijprems35718
Muhendra, R., & Solihin, S. (2023). MITIGASI PENGURANGAN RISIKO BENCANA BANJIR DI DESA CIPAYUNG KEC. MEGAMENDUNG. KAB. BOGOR MENGGUNAKAN TEKNOLOGI INTERNET OF THINGS (IoT). Jurnal Pengabdian Masyarakat Teknik, 5(2), 98–103. https://doi.org/10.24853/jpmt.5.2.98-103
Patriadi, A., Sutra, N., Sugiharto, T. H., & Pamungkas, H. W. (2023). Penerapan Sistem Informasi Geografis (SIG) Dalam Mengidentifikasi Potensi Kelongsoran. Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi, 2(2), 116–122. https://doi.org/10.34312/ljpmt.v2i2.21241
Pujianti, Syarifah, Dalimunthe, R. F., & Ablisar, M. (2022). Pemberdayaan Masyarakat Dalam Mitigasi Bencana Banjir Dan Sistem Peringatan Dini Dengan Teknologi Internet Of Things (Iot) Di Perumahan Deflamboyan Desa Tanjung Selamat. Jurnal Pengabdian Mandiri (JPM), 5(8.5.2017), 577–582.
Rianto, F. (2025). Alat Pendeteksi Gempa Bumi Terintegrasi Internet of Things (Iot) Berbasis Telegram. Integrative Perspectives of Social and Science Journal, 2(2), 2050–2057. https://ipssj.com/index.php/ojs/article/view/249
Sinha, A., Kumar, P., Rana, N. P., Islam, R., & Dwivedi, Y. K. (2019). Impact of internet of things (IoT) in disaster management: a task-technology fit perspective. Annals of Operations Research, 283(1–2), 759–794. https://doi.org/10.1007/s10479-017-2658-1
Twigg, J. (2015). Disaster Risk Reduction. Dalam Gender, Development and Disasters. https://doi.org/10.4337/9781782548232.00014
Ula, M., Andik Bintoro, Syarifah Asria Nanda, Fadliani, Badriana, & Asran. (2025). Pemanfaatan Internet of Thing dalam Sistem Monitoring Pengukuran Suhu Tanah di Gampong Sido Muliyo Kecamatan Kuta Makmur. Jurnal Malikussaleh Mengabdi, 4(1), 101–109. https://doi.org/10.29103/jmm.v4i1.22077
UNDRR. (2022). Community Based Disaster Risk Reduction.
Van Westen, C. J. (2013). Remote Sensing and GIS for Natural Hazards Assessment and Disaster Risk Management. Treatise on Geomorphology: Volume 1-14, 1–14(2004), 259–298. https://doi.org/10.1016/B978-0-12-374739-6.00051-8
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
The copyright of the received article shall be assigned to the journal as the publisher of the journal. The intended copyright includes the right to publish the article in various forms (including reprints). The journal maintains the publishing rights to the published articles.

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


