Spatial Analysis of Landslide Potential Using Modification of the Storie In-dex Method in the Wae Batu Gajah Watershed, Ambon City, Indonesia

Abdul Muin; Heinrich Rakuasa

doi:10.55927/ijsmr.v1i3.3625

Authors

Abdul Muin Master of Geography Education Study Program, Universitas Negeri Jakarta
Heinrich Rakuasa Department of Geography, Universitas Indonesia

DOI:

https://doi.org/10.55927/ijsmr.v1i3.3625

Keywords:

Ambon City, Landslide, Stories Index, Wae Batu Gajah Watershed

Abstract

Based on data on landslide disaster events in 2022, it shows that the Wae Batu Gajah watershed is a land-slide-prone area in Ambon City. The development of increasing population settlements in this area will cer-tainly increase the risk of landslides that are getting higher and higher. Based on this, it is necessary to con-duct spatial analysis of landslide-prone areas in the Wae Batu Gajah watershed. This study aims to analyze the potential for landslides and their exposure to settlements in the Wae Batu Gajah watershed, Ambon City using the Storie Index method. The results showed that the potential for landslides in the Wae Batu Gajah watershed is a hazard class, namely not potential, low, medium, high. The high landslide potential class dom-inates the Wae Batu Gajah watershed, covering an area of 280.19 ha or 43.67% spread across the middle and upper reaches of the watershed. An area of 98.05 ha or 47.82% of the area of residential land located in land-slide-prone areas with low potential located in the lower reaches of rivers with marbles of 0-2% and 2-8% which are relatively sloping and flat. The results of the study are expected to help the Ambon City govern-ment in efforts to mitigate landslide disasters in the future and in spatial planning efforts based on disaster mitigation

Downloads

Download data is not yet available.

References

Asmare, D. (2022). Landslide hazard zonation and evaluation around Debre Markos town, NW Ethiopia—a GIS-based bivariate statistical approach. Scientific African, 15, e01129. https://doi.org/https://doi.org/10.1016/j.sciaf.2022.e01129

Bhunia, G. S., & Shit, P. K. (2022). Geospatial Technology for Multi-hazard Risk Assessment (pp. 1–18). https://doi.org/10.1007/978-3-030-75197-5_1

Firdaus, H. S., & Nasrudin Usman, D. (2022). Pengaruh Perubahan Curah Hujan dan Perubahan Tutupan Lahan terhadap Bencana Longsor berdasarkan Analisis Spasial. Jurnal Riset Perencanaan Wilayah Dan Kota, 1(2), 159–166. https://doi.org/10.29313/jrpwk.v1i2.480

Hamida, F. N., & Widyasamratri, H. (2019). Risiko Kawasan Longsor Dalam Upaya Mitigasi Bencana Menggunakan Sistem Informasi Geografis. Pondasi, 24(1), 67. https://doi.org/10.30659/pondasi.v24i1.4997

Lestari, O. P., Utami, S. R., & Agustina, C. (2022). PENGARUH BATUAN DAN SERESAH PADA PERMUKAAN TANAH TERHADAP PENDUGAAN LONGSOR HASIL SIMULASI. Jurnal Tanah Dan Sumberdaya Lahan, 9(2), 347–354. https://doi.org/10.21776/ub.jtsl.2022.009.2.15

Pakniany, Y., Latue, P. C., & Rakuasa, H. (2023). Pemetaan Daerah Rawan Longsor di Kecamatan Damer, Kabupaten Maluku Barat Daya, Provinsi Maluku. Jurnal Altifani Penelitian Dan Pengabdian Kepada Masyarakat, 3(2), 235–242. https://doi.org/https://doi.org/10.25008/altifani.v3i2.367

Priyono. (2015). Hubungan Klasifikasi Longsor, Klasifikasi Tanah Rawan Longsor Dan Klasifikasi Tanah Pertanian Rawan Longsor. Gema, 27(49).

Pustaka, T. (2016). Perencanaan Mitigasi Bencana Longsor Di Kota Ambon. Spasial, 3(3), 228–235.

Rakuasa, H., Supriatna, S., Tambunan., M,P., Salakory, M., Pinoa, W, S. (2022). Analisis Spasial Daerah Potensi Rawan Longsor di Kota Ambon Dengan Menggunakan Metode SMORPH. Jurnal Tanah Dan Sumberdaya Lahan, 9(2), 213–221. https://doi.org/10.21776/ub.jtsl.2022.009.2.2

Rakuasa, H., Sihasale, D. A., & Latue, P. C. (2022). Model Tutupan Lahan di Daerah Aliran Sungai Kota Ambon Tahun 2031: Studi Kasus DAS Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah Dan Wai Ruhu. Jurnal Tanah Dan Sumberdaya Lahan, 9(2), 473–486. https://doi.org/10.21776/ub.jtsl.2022.009.2.29

Rakuasa H, R. A. (2021). PEMETAAN KERENTANAN BENCANA TANAH LONGSOR BERBASIS SISTEM INFORMASI GEOGRAFIS DI KOTA AMBON. In BIG (Ed.), Prosiding Seminar Nasional Geomatika (pp. 327–336). BIG & MAPIN. https://doi.org/http://dx.doi.org/10.24895/SNG.2020.0-0.1148

Ristya, Y., Supriatna, & Sobirin. (2019). Spatial pattern of landslide potensial area by {SMORPH}, {INDEX} {STORIE} and {SINMAP} method In Pelabuhanratu and surrounding area, Indonesia. {IOP} Conference Series: Earth and Environmental Science, 338(1), 12033. https://doi.org/10.1088/1755-1315/338/1/012033

Shinohara, Y., & Kume, T. (2022). Changes in the factors contributing to the reduction of landslide fatalities between 1945 and 2019 in Japan. Science of The Total Environment, 827, 154392. https://doi.org/10.1016/j.scitotenv.2022.154392

Sobirin, S., & Ramadhan, M. (2017). Analisis Potensi dan Bahaya Bencana Longsor Menggunakan Modifikasi Metode Indeks Storie di Kabupaten Kebumen Jawa Tengah. Prosiding Industrial Research Workshop and National Seminar, 59–64. https://doi.org/https://doi.org/10.35313/irwns.v8i3.699

Somae, G., Supriatna, S., Manessa, M. D. M., & Rakuasa, H. (2022). SMORPH Application for Analysis of Landslide Prone Areas in Sirimau District, Ambon City. Social, Humanities, and Educational Studies (SHES): Conference Series, 5(4), 11. https://doi.org/10.20961/shes.v5i4.68936

Sugandhi, N., Supriatna, S., & Rakuasa, H. (2023). Identification of Landslide Prone Areas Using Slope Morphology Method in South Leitimur District, Ambon City. Jambura Geoscience Review, 5(1), 12–21. https://doi.org/https://doi.org/10.34312/jgeosrev.v5i1.14810

Triwahyuni, L., Sobirin, S., & Saraswati, R. (2017). Analisis Spasial Wilayah Potensi Longsor dengan Metode SINMAP dan SMORPH di Kabupaten Kulon Progo, Daerah Istimewa Yogyakarta. Prosiding Industrial Research Workshop and National Seminar, 69–76. https://doi.org/https://doi.org/10.35313/irwns.v8i3.701