Analisis Kerawanan Longsor Berbasis Pemetaan Geomorfologi di Manggarai Timur
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May 30, 2025
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Landslide Susceptibility Analysis Using Geomorphological Mapping Approach in East Manggarai Region. Technology (IT), particularly Geographic Information Systems (GIS), plays a significant role in supporting the management of natural disasters such as landslides. East Manggarai has geographical conditions that are highly vulnerable to landslides, with topography dominated by steep hills and sharp slopes. To address this issue, it is necessary to analyze landslide susceptibility levels in the East Manggarai region using a geomorphological mapping approach through Geographic Information Systems (GIS). The mapping provides important contributions to the government in spatial planning, disaster prevention, and landslide risk mitigation. Landslide susceptibility maps and data will be published through an interactive website, facilitating information access for communities and stakeholders. This is expected to help communities identify areas prone to landslides and predict potential landslide occurrences.
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Kambri, A. F., & Saitakela, M. (2025). Analisis Kerawanan Longsor Berbasis Pemetaan Geomorfologi di Manggarai Timur. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 6(2), 1273-1284. https://doi.org/10.63447/jimik.v6i2.1417
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Darwis, M., Sideng, U., & Yusuf, M. (2021). Pemetaan zonasi daerah rawan bencana longsor berbasis sistem informasi geografis di Das Jeneberang Kabupaten Gowa. Jurnal Environmental Science, 3(2), 195-206. https://doi.org/10.35580/jes.v3i2.20080.
Fatiatun, F., Firdaus, F., Jumini, S., & Adi, N. P. (2019). Analisis bencana tanah longsor serta mitigasinya. SPEKTRA: Jurnal Kajian Pendidikan Sains, 5(2), 134-139. https://doi.org/10.32699/spektra.v5i2.113.
Fikriyah, V. N., & Furoida, K. (2021). Peningkatan keterampilan siswa sekolah menengah kejuruan melalui pelatihan software pemetaan. Abdi Geomedisains, 1(2), 50-58. https://doi.org/10.23917/abdigeomedisains.v1i2.211.
Hakim, M. H., & Winardi, S. (2022). Sistem pendeteksi dini tanah longsor menggunakan sensor vibration berbasis Internet of Things. Jurnal Pendidikan Teknologi Informasi (JUKANTI), 5(1), 101-110. https://doi.org/10.37792/jukanti.v5i1.450.
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Hidayat, R., & Zahro, A. A. (2020). Penentuan ambang curah hujan untuk memprediksi kejadian longsor. Jurnal Sumber Daya Air, 16(1), 1-10. https://doi.org/10.32679/jsda.v16i1.483.
Ichsan, A., Najib, M., & Ulum, F. (2020). Sistem informasi geografis toko distro berdasarkan rating Kota Bandar Lampung berbasis web. Jurnal Teknologi Dan Sistem Informasi, 1(2), 71-79. https://doi.org/10.33365/jtsi.v1i2.207.
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Juwantoro, H. S., Kristania, Y. M., & Suripah, S. (2023). Rancang bangun sistem informasi absensi pegawai Desa Pekaja berbasis website. EVOLUSI: Jurnal Sains dan Manajemen, 11(2), 62-69. https://doi.org/10.31294/evolusi.v11i2.16117.
Naryanto, H. S., Prawiradisastra, F., Ardiyanto, R., & Hidayat, W. (2020). Analisis pasca bencana tanah longsor 1 Januari 2020 dan evaluasi penataan kawasan di Kecamatan Sukajaya, Kabupaten Bogor. Jurnal Geografi Gea, 20(2), 197-213. https://doi.org/10.17509/gea.v20i2.24232.g13239.
Paisa, P., & Wahyuni, A. (2021). Pemetaan daerah rawan longsor menggunakan metode pencitraan satelit di Kabupaten Enrekang Sulawesi Selatan. Jurnal Geocelebes, 5(1), 80-90. https://doi.org/10.20956/geocelebes.v5i1.12503.
Prasindya, P., Hariyanto, T., & Kurniawan, A. (2020). Analisis potensi tanah longsor menggunakan sistem informasi geografis dan analytical hierarchy process (AHP) (Studi kasus: Kecamatan Songgon, Kabupaten Banyuwangi). Geoid, 16(1), 19-27. https://doi.org/10.20956/geocelebes.v5i1.12503.
Tolana, S. W., Koniyo, M. H., Ahaliki, B., & Olii, S. (2024). Sistem informasi program keluarga harapan (PKH) menggunakan metode K-Means Clustering di Kabupaten Bone Bolango. Diffusion: Journal of Systems and Information Technology, 4(2), 171-180. https://doi.org/10.37031/diffusion.v4i2.26361.
Trianda, O. (2021). Identifikasi kawasan rawan bencana longsor metode skoring daerah Mojotengah dan sekitarnya, Kecamatan Reban, Kabupaten Batang, Provinsi Jawa Tengah. ReTII, 501-508.
Yamco, Y., Leuwol, F. S., & Lasaiba, M. A. (2022). Landslide Susceptibility Analysis Based on Geographic Information System in Ambon City. Jurnal Pendidikan Geografi Unpatti, 1(2), 177-187.
Yasien, N. F., Yustika, F., Permatasari, I., & Sari, M. (2021). Aplikasi geospasial untuk analisis potensi bahaya longsor menggunakan metode weighted overlay (Studi kasus Kabupaten Kudus, Jawa Tengah). Jurnal Geosains Dan Remote Sensing, 2(1), 33-40. https://doi.org/10.23960/jgrs.2021.v2i1.47.
Yassar, M. F., Nurul, M., Nadhifah, N., Sekarsari, N. F., Dewi, R., Buana, R., ... & Rahmadhita, K. A. (2020). Penerapan weighted overlay pada pemetaan tingkat probabilitas zona rawan longsor di Kabupaten Sumedang, Jawa Barat. Jurnal Geosains dan Remote Sensing, 1(1), 1-10. https://doi.org/10.23960/jgrs.2020.v1i1.13.