MAPPING OF LANDSLIDE-PRONE AREAS ON ENDE-WOLOWARU ROAD SECTION ENDE REGENCY BASED ON GEOGRAPHIC INFORMATION SYSTEM

Maria Sonya Kae, Arfita Rahmawati, Bella Theo Tomi Pamungkas

Abstract

Landslides on the Ende - Wolowaru road, Ende Regency often occur every year, especially in the rainy season. Therefore, research was carried out to determine the level of vulnerability to landslides on the Ende - Wolowaru road section, Ende Regency, using an estimation model referring to Puslittanak research in 2004. Mapping of landslide-prone areas was carried out at a radius of 250 meters along the Ende - Wolowaru road section, Ende Regency with area 2,514 ha. The analysis used GIS analysis, such as: scoring and overlay methods based on 2004 Puslittanak Department of Agriculture estimation model. The parameters used are rainfall, rock type, slope, land cover and soil type. The results of the analysis in this study show that the level of vulnerability to landslides at the research location consists of a non-prone class covering an area of 13.38 ha, a vulnerable class covering an area of 1,620.38 ha and a very vulnerable class covering an area of 880.65 ha and (2) the level of validation mapping results that is equal to 88%.

Keywords

Mapping; Landslide; GIS

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References

Arco Triady Ujung, Laila Nugraha, A., & Sugiastu Firdaus, H. (2019). Kajian Pemetaan Risiko Bencana Banjir Kota Semarang Dengan Menggunakan Sistem Informasi Geografis. Jurnal Geodesi Undip Oktober, 8, 154–164.

Diara, I. W., Suyarto, R., & Saifulloh, M. (2022). Spatial Distribution of Landslide Susceptibility in New Road Construction Mengwitani-Singaraja, Bali-Indonesia: Based on Geospatial Data. International Journal of GEOMATE, 23(96), 95–103. https://doi.org/10.21660/2022.96.3320

Hang, H. T., Hoa, P. D., Tru, V. N., & Phuong, N. V. (2021). Landslide Susceptibility Mapping Along National Highway-6, Hoa Binh Province, Vietnam Using Frequency Ratio Model And Gis. International Journal of GEOMATE, 21(85), 84–90. https://doi.org/10.21660/2021.85.j2222

Khosiah Khosiah, A. A. (2017). Tingkat Kerawanan Tanah Longsor Di Dusun Landungan Desa Guntur Macan Kecamatan Gunungsari Kabupaten Lombok Barat. Jurnal Ilmiah Mandala Education, 13(3), 195–200.

Nusantoro, A. (2020). Analisis Mitigasi Bencana Tanah Longsor Berbasis Kearifan Lokal di Purworejo. Proceeding of The 11th University Research Colloquium 2020: Bidang Lingkungan Dan Kebencanaan, 18–26.

Pusat Penelitian dan Pengembangan Tanah dan Agroklimat. (2004). Laporan Akhir Pengkajian Potensi Bencana Kekeringan, Banjir dan Longsor di Kawasan Satuan Wilayah Sungai Citarum-Ciliwung, Jawa Barat Bagian Barat Berbasis Sistem Informasi Geografi.

Putra, I. K. A., & Wardika, I. G. (2021). Analisis Kerentanan Lahan Terhadap Potensi Bencana Tanah Longsor pada Wilayah Kaldera Batur Purba. Media Komunikasi Geografi, 22(2), 208. https://doi.org/10.23887/mkg.v22i2.36925

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, 32(1), 1. https://doi.org/10.22146/mgi.31882

Roccati, A., Paliaga, G., Luino, F., Faccini, F., & Turconi, L. (2021). Gis-based landslide susceptibility mapping for land use planning and risk assessment. Land, 10(2), 1–28. https://doi.org/10.3390/land10020162

Rusdiana, D. D., Nuryandini, R., Heni Imelia, J., & Syifa Hafidah, N. (2021). Pemanfaatan Informasi Spasial Berbasis SIG untuk Pemetaan Tingkat Kerawanan Longsor di Kabupaten Karangasem, Bali. Jurnal Geosains Dan Remote Sensing, 2(2), 49–55. https://doi.org/10.23960/jgrs.2021.v2i2.51

Sitepu, F., Selintung, M., & Harianto, T. (2017). Pengaruh Intensitas Curah Hujan dan Kemiringan Lereng Terhadap Erosi Yang Berpotensi Longsor. Jurnal Penelitian Enjiniring, 21(1), 23–27. https://doi.org/10.25042/jpe.052017.03

Subagio, H. (2008). Model Spasial Penilaian Rawan Longsor Studi Kasus di Trenggalek. Badan Koordinasi Survei dan Pemetaan Nasional.

Sukma, R. (2015). Studi geologi daerah tanjung ngalebu, kabupaten ende kecamatan maurole, flores provinsi nusa tenggara timur. UPN Veteran, Yogyakarta.

Sukrizal, S., Fatimah, E., & Nizamuddin, N. (2019). Analysis of Landslide Hazards Area Using Geographic Information System in Gayo Lues District. International Journal of Multicultural and Multireligious Understanding, 6(3), 193. https://doi.org/10.18415/ijmmu.v6i3.807

Sunimbar, & Angin, I. S. (2021). Analisis Geomorfologi Kejadian Longsor Di Kecamatan Wolotolo Kabupaten Ende. Jurnal Geografi, 17(2), 14–22.

DOI: https://doi.org/10.20961/ge.v10i1.73223

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