Utilization of Digital Elevation Models in Slope Morphology Analysis for Landslide Identification in Ternate City, Indonesia
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Abstract
Ternate City, located in the North Maluku archipelago, Indonesia, has hilly geographical and morphological conditions that make it vulnerable to landslides. This research aims to identify potential landslide risks by utilizing the Digital Elevation Model and slope morphology analysis and provide recommendations for disaster mitigation. This study used Digital Elevation Model (DEM) data obtained from the Indonesian Geospatial Information Agency, as well as land use data extracted from Sentinel 2 satellite imagery. The Slope Morphology (SMORPH) method was applied to analyze the shape and slope, which was then used to generate a landslide potential map. The analysis results show that 1,391.72 hectares of area in Ternate City have a high risk of landslides, with factors such as slope, slope shape, and land use conditions contributing to soil stability. The study also identified the importance of risk mapping and socialization to the community on early signs of landslides to improve preparedness. This research confirms the need for comprehensive and sustainable mitigation efforts to reduce the impact of landslides in Ternate City. Recommendations include infrastructure strengthening, drainage channel construction, and reforestation in critical areas. The results of this study are expected to serve as a basis for policymakers to formulate more effective disaster mitigation strategies and increase public awareness of the importance of wise environmental management.
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Badan Nasional Penanggulangan Bencana, “Indeks Resiko Bencana Indonesia,” Jakarta, 2023.
D. A. Sihasale, P. C. Latue, and H. Rakuasa, “Spatial Analysis of Built-Up Land Suitability in Ternate Island,” Jurnal Riset Multidisiplin dan Inovasi Teknologi, vol. 1, no. 02, pp. 70–83, Sep. 2023, https://doi.org/10.59653/jimat.v1i02.219. DOI: https://doi.org/10.59653/jimat.v1i02.219
Badan Meteorologi Klimatologi dan Geofisika Nasional, “Kepala BMKG Tinjau Lokasi Bencana Banjir Bandang di Ternate,” BMKG. Accessed: Oct. 08, 2024. [Online]. Available: https://www.bmkg.go.id/berita/?p=kepala-bmkg-tinjau-lokasi-bencana-banjir-bandang-di-ternate&lang=ID&tag=ternate
H. Rakuasa, S. Supriatna, M. P. Tambunan, M. Salakory, and Wiclif. S. Pinoa, “Analisis Spasial Daerah Potensi Rawan Longsor di Kota Ambon dengan Menggunakan Metode SMORPH,” Jurnal Tanah dan Sumberdaya Lahan, vol. 9, no. 2, pp. 213–221, Jul. 2022, https://doi.org/10.21776/ub.jtsl.2022.009.2.2.
M. Y. Iswari and K. Anggraini, “DEMNAS: Model Digital Ketinggian Nasional untuk Aplikasi Kepesisiran,” OSEANA, vol. 43, no. 4, Nov. 2018, https://doi.org/10.14203/oseana.2018.Vol.43No.4.2. DOI: https://doi.org/10.14203/oseana.2018.Vol.43No.4.2
F. Ramdhoni, A. Damayanti, and T. L. Indra, “Smorph application for landslide identification in Kebumen Regency,” IOP Conf Ser Earth Environ Sci, vol. 451, no. 1, p. 012013, Mar. 2020, https://doi.org/10.1088/1755-1315/451/1/012013. DOI: https://doi.org/10.1088/1755-1315/451/1/012013
G. Somae, S. Supriatna, M. D. M. Manessa, and H. Rakuasa, “SMORPH Application for Analysis of Landslide Prone Areas in Sirimau District, Ambon City,” Social, Humanities, and Educational Studies (SHES): Conference Series, vol. 5, no. 4, p. 11, Dec. 2022, https://doi.org/10.20961/shes.v5i4.68936. DOI: https://doi.org/10.20961/shes.v5i4.68936
Y. Ristya, Supriatna, and Sobirin, “Spatial pattern of landslide potensial area by SMORPH, INDEX STORIE and SINMAP method In Pelabuhanratu and surrounding area, Indonesia,” IOP Conf Ser Earth Environ Sci, vol. 338, no. 1, p. 012033, Nov. 2019, https://doi.org/10.1088/1755-1315/338/1/012033. DOI: https://doi.org/10.1088/1755-1315/338/1/012033
M. Salakory and H. Rakuasa, “Modeling of Cellular Automata Markov Chain for Predicting the Carrying Capacity of Ambon City,” Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), vol. 12, no. 2, pp. 372–387, Jul. 2022, https://doi.org/10.29244/jpsl.12.2.372-387. DOI: https://doi.org/10.29244/jpsl.12.2.372-387
CNN Indonesia, “Ternate Dilanda Banjir Bandang Dini Hari, 13 Orang Meninggal.” Accessed: Oct. 08, 2024. [Online]. Available: https://www.cnnindonesia.com/nasional/20240825135942-20-1137259/ternate-dilanda-banjir-bandang-dini-hari-13-orang-meninggal
S. E. Manakane, P. C. Latue, and H. Rakuasa, “Identifikasi Daerah Rawan Longsor Di DAS Wai Batu Gajah, Kota Ambon Menggunakan Metode Slope Morphology Dan Indeks Storie,” Gudang Jurnal Multidisiplin Ilmu (GJMI), vol. 1, no. 1, pp. 29–36, 2023.
A. Goswami, S. Sen, and P. Majumder, “Suitability Analysis of Landslide Susceptibility Model of Uttarkashi District in Uttarakhand, India: A Comparative Approach Between Weighted Overlay and Multi-criteria Decision Analysis,” 2024, pp. 219–242. https://doi.org/10.1007/978-3-031-56591-5_8. DOI: https://doi.org/10.1007/978-3-031-56591-5_8
F. S. Hehanussa, P. C. Latue, H. Rakuasa, and G. Somae, “Integration of Remote Sensing Data and Geographic Information System for Mapping Landslide Risk Areas in Ambon City, Indonesia,” Journal of Selvicoltura Asean, vol. 1, no. 3, pp. 105–119, 2024.
P. C. Latue, D. A. Sihasale, and H. Rakuasa, “Pemetaan Daerah Potensi Longsor di Kecamatan Leihitu Barat, Kabupaten Maluku Tengah, Menggunakan Metode Slope Morphology (SMORPH),” INSOLOGI: Jurnal Sains dan Teknologi, vol. 2, no. 3, pp. 486–495, Jun. 2023, https://doi.org/10.55123/insologi.v2i3.1912. DOI: https://doi.org/10.55123/insologi.v2i3.1912
S. C. Shaw and D. H. Johnson, “Slope Morphology Model Derived From Digital Elevation Data,” 1998, [Online]. Available: http://www.krisweb.com/kriskootenai/krisdb/html/krisweb/biblio/gen_xxxx_shawetal_1995_slopemorph.pdf
H. Rakuasa, S. Supriatna, M. P. Tambunan, M. Salakory, and Wiclif. S. Pinoa, “Analisis Spasial Daerah Potensi Rawan Longsor di Kota Ambon dengan Menggunakan Metode SMORPH,” Jurnal Tanah dan Sumberdaya Lahan, vol. 9, no. 2, pp. 213–221, Jul. 2022, https://doi.org/10.21776/ub.jtsl.2022.009.2.2. DOI: https://doi.org/10.21776/ub.jtsl.2022.009.2.2
A. Muin and H. Rakuasa, “Spatial Analysis of Landslide Potential Using Modification of the Storie In-dex Method in the Wae Batu Gajah Watershed, Ambon City, Indonesia,” International Journal of Scientific Multidisciplinary Research, vol. 1, no. 3, pp. 107–116, Apr. 2023, https://doi.org/10.55927/ijsmr.v1i3.3625. DOI: https://doi.org/10.55927/ijsmr.v1i3.3625
T. Latue, P. C. Latue, and H. Rakuasa, “Spatial Analysis of Landslide Prone Areas in Tidore Island Indonesia,” Journal of Geographical Sciences and Education, vol. 1, no. 1, pp. 12–19, Sep. 2023, https://doi.org/10.69606/geography.v1i1.53. DOI: https://doi.org/10.69606/geography.v1i1.53
T. Latue, P. C. Latue, H. Rakuasa, G. Somae, and A. Muin, “Mapping of Landslide Prone Areas in Huamual Sub-District, Seram Bangian Barat Regency, Indonesia,” Jurnal Riset Multidisiplin dan Inovasi Teknologi, vol. 1, no. 02, pp. 84–93, Sep. 2023, https://doi.org/10.59653/jimat.v1i02.239. DOI: https://doi.org/10.59653/jimat.v1i02.239
Y. Pakniany, P. C. Latue, and H. Rakuasa, “Pemetaan Daerah Rawan Longsor di Kecamatan Damer, Kabupaten Maluku Barat Daya, Provinsi Maluku,” Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat, vol. 3, no. 2, pp. 235–242, Mar. 2023, https://doi.org/10.59395/altifani.v3i2.367. DOI: https://doi.org/10.59395/altifani.v3i2.367