GIS-Based Landslide Susceptibility Mapping Using Overlay and Scoring Techniques Along the Nanggulan–Kalibawang Road, Kulon Progo
Keywords:
Geographic Information System (GIS), Kulon Progo, Landslide Susceptibility, Overlay Technique, Scoring Method
Abstract
Purpose of the study: This study aims to evaluate landslide susceptibility along Nanggulan–Kalibawang road corridor, Kulon Progo, by identifying spatial distribution of vulnerability classes and dominant factors influencing slope instability, providing context-specific information for disaster risk reduction and infrastructure planning.
Methodology: GIS-based spatial multi-criteria analysis (SMCA) was applied using ArcGIS 10.8 software. Primary data included slope measurement, soil depth, and laboratory analysis of soil samples. Secondary data consisted of thematic layers of geology, soil type, landform, land use, and vegetation. Weighted overlay and scoring techniques were used to generate landslide susceptibility index.
Main Findings: Results indicate moderate to high vulnerability dominates hilly zones along the corridor. Very high susceptibility zones are located on steep slopes with sparse vegetation and intensive land use. Slope gradient and land use are the most dominant factors. Five susceptibility classes, ranging from very low to very high, were delineated providing fine-resolution spatial information for prioritizing mitigation measures.
Novelty/Originality of this study: This study introduces corridor-specific landslide susceptibility mapping using integrated overlay and scoring techniques within GIS. Unlike regional assessments, seven terrain parameters are combined into a unified spatial model producing fine-resolution susceptibility zones. Findings provide practical guidance for disaster risk management along strategic road corridors and advance knowledge by offering a replicable framework for localized hazard assessment.
References
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[18] J. He, T. Wang, and H. Zhu, “The logic of recreation space governance in forest parks based on the theory of space production,” Cogent Soc. Sci., vol. 8, no. 1, pp. 1–16, 2022, doi: 10.1080/23311886.2022.2137315.
[19] E. A. Muhtar, A. Abdillah, and I. Widianingsih, “Smart villages, rural development and community vulnerability in Indonesia: A bibliometric analysis,” Cogent Soc. Sci., vol. 9, no. 1, pp. 1–25, 2023, doi: 10.1080/23311886.2023.2219118.
[20] V. Delauer et al., “The impact of natural environments and biophilic design as supportive and nurturing spaces on a residential college campus,” Cogent Soc. Sci., vol. 8, no. 1, pp. 1–19, 2022, doi: 10.1080/23311886.2021.2000570.
[21] H. S. Naryanto and Q. Zahro, “Penilaian risiko bencana longsor di wilayah Kabupaten Serang [Landslide disaster risk assessment in Serang Regency],” Maj. Geogr. Indones., vol. 34, no. 1, pp. 1–10, 2020.
[22] F. Ulfa, E. Kusratmoko, and A. Wibowo, “Risiko kerugian akibat longsor di Desa Cibanteng, Kecamatan Sukaresmi, Kabupaten Cianjur, Jawa Barat [Risk of loss due to landslides in Cibanteng Village, Sukaresmi District, Cianjur Regency, West Java],” Maj. Geogr. Indones., vol. 29, no. 2, pp. 139–148, 2015.
[23] E. Febriarta, D. Susanto, A. P. Wicaksono, and A. Larasati, “Kajian metode deterministik untuk zonasi kerawanan gerakan tanah di Labuan Bajo Nusa Tenggara Timur [Study of deterministic methods for landslide vulnerability zoning in Labuan Bajo, East Nusa Tenggara],” Maj. Geogr. Indones., vol. 36, no. 1, pp. 41–50, 2022, doi: 10.22146/mgi.63231.
[24] J. C. E. Talakua and V. V. Tuerah, “Analisis spasial ketersediaan dan keterjangkauan fasilitas kesehatan untuk mendukung kesehatan wisata di Kecamatan Kuta [Spatial analysis of the availability and affordability of health facilities to support tourism health in Kuta District],” Maj. Geogr. Indones., vol. 39, no. 1, pp. 91–100, 2025, doi: 10.22146/mgi.70636.
[25] N. M. Sari, “Analisis sebaran bangunan dan kesesuaian dengan rencana tata ruang wilayah (RTRW) Provinsi DKI Jakarta [Analysis of building distribution and conformity with the regional spatial planning (RTRW) of DKI Jakarta Province],” Maj. Geogr. Indones., vol. 35, no. 2, pp. 133–141, 2021.
[26] L. Somantri, “Pemetaan mobilitas penduduk di kawasan pinggiran Kota Bandung [Mapping population mobility in the suburbs of Bandung City],” Maj. Geogr. Indones., vol. 36, no. 2, pp. 95–102, 2022, doi: 10.22146/mgi.70636.
[27] I. Ardiansyah and S. Wagistina, “Pola spasial dan keputusan keluarga bermukim di permukiman kumuh pusat Kota dan Wilayah Pinggiran Kota Malang, Jawa Timur [Spatial patterns and family decisions to settle in slum settlements in the city center and suburbs of Malang, East Java],” Maj. Geogr. Indones., vol. 35, no. 1, pp. 64–74, 2021.
[28] M. Farizki and W. Anurogo, “Pemetaan kualitas permukiman dengan menggunakan penginderaan jauh dan SIG di Kecamatan Batam Kota, Batam,” Maj. Geogr. Indones., vol. 31, no. 1, pp. 39–45, 2017.
[29] T. Aprilliyanti and M. Zainuddin, “Pemetaan potensi kekeringan lahan se-pulau Batam menggunakan Teknik sistem infor- masi geografis (SIG) dan penginderaan jauh [Mapping the potential for land drought across Batam Island using geographic information systems (GIS) and remote sensing techniques],” Maj. Geogr. Indones., vol. 31, no. 1, pp. 91–94, 2017.
[30] F. A. Ikhsan, S. Utaya, S. Bachri, A. Sugiarto, and A. E. Sejati, “Paradigma filsafat penduduk geografi kontemporer: kajian ontologi, epistemologi, aksiologi, dan keterampilan sainstifik [Contemporary geographic population philosophy paradigm: study of ontology, epistemology, axiology, and scientific skills],” Maj. Geogr. Indones., vol. 38, no. 1, pp. 25–34, 2024, doi: 10.22146/mgi.70636.
Published
2026-03-06
How to Cite
Afrinaldi, R., & Eryuliana, R. (2026). GIS-Based Landslide Susceptibility Mapping Using Overlay and Scoring Techniques Along the Nanggulan–Kalibawang Road, Kulon Progo. GeoEdu Insight Journal, 1(1), 9-15. Retrieved from https://cahaya-ic.com/index.php/GEdlJ/article/view/2911
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Copyright (c) 2026 Rahman Afrinaldi, Rina Eryuliana
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