Pemetaan Daerah Potensi Longsor di Kecamatan Leihitu Barat, Kabupaten Maluku Tengah, Menggunakan Metode Slope Morphology (SMORPH)

Authors

  • Philia Christi Latue Universitas Pattimura
  • Daniel Anthoni Sihasale Universitas Pattimura
  • Heinrich Rakuasa Universitas Indonesia

DOI:

https://doi.org/10.55123/insologi.v2i3.1912

Keywords:

SMORPH, Landslide, Leihitu Barat

Abstract

Landslide prone area mapping is an important step in mitigation and natural disaster management efforts in West Leihitu Sub-district, Central Maluku Regency. This research aims to map landslide prone areas in West Leihitu District, Central Maluku Regency, using Slope Morphology (SMORPH) method. This research uses DEMNAS data. The Slope Morphology (SMORPH) method was used in this research to overlay the slope map and slope shape to produce a map of landslide prone areas in West Leihitu Sub-district. The results showed that very low landslide potential class has an area of 465.40 ha (4.47%), low landslide potential class has an area of 4,232.96 ha or 40.63%, medium landslide potential class has an area of 2,524.30 ha or 24.23% and high landslide potential class has an area of 3196.19 ha or 30.68%. The results of this research are expected to be useful for the government and community in West Leihitu Sub-district, Central Maluku Regency in mitigating landslides in the future.

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References

Abdul Muin, & Heinrich Rakuasa. (2023). 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, 1(3), 107–116. https://doi.org/10.55927/ijsmr.v1i3.3625

Chen, W., & Li, Y. (2020). GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models. CATENA, 195, 104777. https://doi.org/https://doi.org/10.1016/j.catena.2020.104777

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

Harist, M. C., Afif, H. A., Putri, D. N., & Shidiq, I. P. A. (2018). GIS modelling based on slope and morphology for landslide potential area in Wonosobo, Central Java. MATEC Web of Conferences, 229, 03004. https://doi.org/10.1051/matecconf/201822903004

Iswari, M. Y., & Anggraini, K. (2018). DEMNAS: MODEL DIGITAL KETINGGIAN NASIONAL UNTUK APLIKASI KEPESISIRAN. OSEANA, 43(4). https://doi.org/10.14203/oseana.2018.Vol.43No.4.2

Latue, P. C., Septory, J. S. I., & Rakuasa, H. (2023). Perubahan Tutupan Lahan Kota Ambon Tahun 2015, 2019 dan 2023. JPG (Jurnal Pendidikan Geografi), 10(1), 177–186. https://doi.org/http://dx.doi.org/10.20527/jpg.v10i1.15472

Ode Alfin Risanto. (2022). Longsor di Leihitu Barat, Akses Antardesa Lumpuh. Tribun Ambon.Com. https://ambon.tribunnews.com/2022/07/26/longsor-di-leihitu-barat-akses-antardesa-lumpuh

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

Pakniany, Y., Tiwery, W. Y., & Rakuasa, H. (2022). Mitigasi Bencana Gempa Bumi Berbasis Kearifan Lokal di Desa Nuwewang Kecamatan Pulau Letti Kabupaten Maluku Barat Daya. Dialektika: Jurnal Pemikiran Islam Dan Ilmu Sosial, 15(1), 1–7.

Permadi, M. G., Jamaludin, Parjono, & Sapsal, M. T. (2019). Implementation of the {SMORPH} method for mapping the susceptibility area of landslide in Bogor City. {IOP} Conference Series: Earth and Environmental Science, 343(1), 12195. https://doi.org/10.1088/1755-1315/343/1/012195

Rahmad, R., Suib, S., & Nurman, A. (2018). Aplikasi SIG Untuk Pemetaan Tingkat Ancaman Longsor Di Kecamatan Sibolangit, Kabupaten Deli Serdang, Sumatera Utara. Majalah Geografi Indonesia. https://doi.org/10.22146/mgi.31882

Rakuasa, H., Rifai, A. (2021). Pemetaan Kerentanan Bencana Tanah Longsor Berbasis Sistem Informasi Geografis di Kota Ambon. Seminar Nasional Geomatika Tahun 2021, 327–336. https://doi.org/10.24895/SNG.2020.0-0.1148

Rakuasa, H., Somae, G. (2022). Analisis Spasial Kesesuaian dan Evaluasi Lahan Permukiman di Kota Ambon. Jurnal Sains Informasi Geografi (J SIG), 5(1), 1–9. https://doi.org/DOI: http://dx.doi.org/10.31314/j%20sig.v5i1.1432

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

Ramdhoni, F., Damayanti, A., & Indra, T. L. (2020). Smorph application for landslide identification in Kebumen Regency. IOP Conference Series: Earth and Environmental Science, 451(1), 012013. https://doi.org/10.1088/1755-1315/451/1/012013

Sari, V. P., Hermawan, A., Suseno, S. H., & Nugroho, D. A. (2020). Peran pendampingan sosialisasi sistem tanggap darurat bencana sebagai upaya mitigasi tanah longsor di RW 06 Kelurahan Cimahpar. Jurnal Pusat Inovasi Masyarakat (PIM), 2(1), 104-107.

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

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Published

2023-06-28

How to Cite

Philia Christi Latue, Daniel Anthoni Sihasale, & Heinrich Rakuasa. (2023). Pemetaan Daerah Potensi Longsor di Kecamatan Leihitu Barat, Kabupaten Maluku Tengah, Menggunakan Metode Slope Morphology (SMORPH). INSOLOGI: Jurnal Sains Dan Teknologi, 2(3), 486–495. https://doi.org/10.55123/insologi.v2i3.1912

Issue

Vol. 2 No. 3 (2023): Juni 2023

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Articles

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Copyright (c) 2023 Philia Christi Latue, Daniel Anthoni Sihasale, Heinrich Rakuasa

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