Vol. 6 No. 2 (2025) Articles
Open Access

Analisis Kerawanan Longsor Berbasis Pemetaan Geomorfologi di Manggarai Timur

Aurelia Fermina Kambri
STIKOM Uyelindo Kupang
Mardhalia Saitakela
STIKOM Uyelindo Kupang
Published: May 30, 2025 Pages: 1273-1284
Original Full-Text Article
Download published version for reading and archiving
Abstract

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.

Article Metrics & Downloads Graph
Monthly Download Trends:
Author Biographies
Aurelia Fermina Kambri STIKOM Uyelindo Kupang

Program Studi Teknik informatika, STIKOM Uyelindo Kupang, Kota Kupang, Provinsi Nusa Tenggara Timur, Indonesia.

Mardhalia Saitakela STIKOM Uyelindo Kupang

Program Studi Teknik informatika, STIKOM Uyelindo Kupang, Kota Kupang, Provinsi Nusa Tenggara Timur, Indonesia.

How to Cite
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
License

Creative Commons Attribution 4.0 International License (CC BY 4.0)

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License .

  • Share: You are free to copy, distribute, and transmit the work in any medium or format.
  • Adapt: You are free to remix, transform, and build upon the work for any purpose, even commercially.
  • Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Copyright & Retention: Authors retain copyright without restrictions and grant this journal the right of first publication under an open-access model. The journal retains non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

References
Total: 19 References
  1. Apriliani, L., Baharuddin, B., & Nursalam, N. (2021). STATUS KEKRITISAN LAHAN DI PESISIR TANJUNG DEWA. Marine Coastal and Small Islands Journal-Jurnal ilmiah Ilmu Kelautan, 5(2), 1-11. https://doi.org/10.20527/m.v5i2.11798.
  2. Bintang, P., Muliddin, M., & Asfar, S. (2021). Pemetaan geomorfologi Teluk Kendari Kota Kendari, Provinsi Sulawesi Tenggara. OPHIOLITE: Jurnal Geologi Terapan, 3(2), 63. https://doi.org/10.56099/ophiolite.v3i2.23258.
  3. 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.
  4. 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.
  5. 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.
  1. 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.
  2. Hasmunir, H. (2017). Materi pembelajaran geomorfologi untuk program studi pendidikan geografi. Jurnal Pendidikan Geosfer, 2(2), 9-21. https://jurnal.usk.ac.id/JPG/article/view/17459.
  3. 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.
  4. 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.
  5. Julaeha, S., Kendarto, D. R., & Solihin, M. A. (2022). Analisis tingkat kerawanan longsor di sub daerah aliran sungai Cisangkuy, Citarum Hulu Kabupaten Bandung menggunakan metode skoring. Applied Information System and Management (AISM), 5(2), 97-104. https://doi.org/10.15408/aism.v5i2.25022.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Trianda, O. (2021). Identifikasi kawasan rawan bencana longsor metode skoring daerah Mojotengah dan sekitarnya, Kecamatan Reban, Kabupaten Batang, Provinsi Jawa Tengah. ReTII, 501-508.
  12. 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.
  13. 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.
  14. 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.
Similar Articles

Articles sharing related keywords and machine learning classifications:

Analisis dan Rekomendasi Keamanan Website Kampus X Menggunakan ISSAF
Perancangan Sistem Informasi Sekolah SD Negeri 4 Kerta Payangan Menggunakan Metode Design Thinkin
Peran Humas Kemendikbudristek dalam Upaya Transparansi Informasi Program Bantuan Operasional Sekolah (BOS)
PEMETAAN DAERAH RAWAN PENYAKIT DEMAM BERDARAH DENGUE (DBD) DI KOTA BANDUNG MENGGUNAKAN APLIKASI QGIS
Pengembangan Website Koleksi Buku untuk Income Cafe Atelir Ciremai