Zonasi Daerah Rawan Longsor Menggunakan Analisis Sistem Informasi Geografis Berdasarkan Metode AHP Pada Daerah Gunung Kidul Yogyakarta

Muhammad Joko Umbaran Haris Bahrudin




Data from the Yogyakarta Regional National Survey and Mapping Coordinating Board (Bakosurtanal), disasters that often occur in Yogyakarta are landslides, droughts, tornadoes.In this study, the modeling of potential landslides in the Gunung Kidul area of Yogyakarta has been carried out using GIS analysis and scoring and weighting methods with reference to PU Candy No. 22 /PRT /M /2007 concerning the Guidelines for Landslide Disaster Prone Areas and the Analytical Hierarchy Process (AHP) method. The results were in the form of Three Zoning landslide prone areas, namely high potential found in three Hamlets namely Kacangan Hamlet Hargomulyo Village located at N 42º E, Kedok Ploso N 186º E Hamlet, and Kembang Village Nglegi Hamlet N 160º E based on vulnerability maps landslides processed based on Permen PU No. 22 / PRT / M / 2007. While the Medium Zone is located in Karangduwet Hamlet, Ngalang Village N 95º E. The low vulnerability zone is located in Duwet Hamlet, Ngalang Village N 4º E. Criteria in the study area include lithology: 0,250, slope: 0,053, groundwater condition 0,304, soil structure: 0,161 , land cover: 0.102 and relative reief: 0.131 all criteria determination is based on landscape hazard evaluation factor (LHEF) which is processed based on AHP method and map overlay technique.


GIS; AHP; LHEF; Weighting; Landslide

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Taufik, E, R., Andri, S., dan Arif, L, N., “Pemodelan Potensi Bencana Tanah Longsor Menggunakan Analisis SIG di Kabupaten Semarang”, Semarang, Universitas Diponegoro, 2017.

Ardiansyah., Pemodelan Spansial Untuk Analisis Wilayah Potensi Longsor dengan Menggunakan Metode Stability Index Mapping (SINMAP), Universitas Sam Ratulangi, 2017.

Peraturan Menteri Pekerjaan Umum No. 22/PRT/M/2007 Tentang Pedeoman Penataan Ruang Kawasan Rawan Bencana Longsor

Aronica., Biondi., Brigandì., Cascone., Lanza, R., Assessment and mapping of debris-flow risk in a small catchment in eastern Sicily through integrated numerical simulations and GIS. Journal of Physics and Chemistry of the Earth, 2016, 49, 52–63.

Bozorgi, A., Asvadi, S., A prioritization model for locating relief logistic centers using analytic hierarchy process with interval comparison matrix. Knowledge-Based Systems, 2015, 86, 173–181.

Hamza., dan Raghuvanshi., GIS based landslide hazard evaluation and zonation a case from Jeldu District, Central Ethiopia. Journal of King Saud University - Science, 2017, vol. 29, 151–165.

Perpina., dan Pérez, N., Multicriteria assessment in GIS environments for siting biomass plants. Land Use Policy, Journal of Renewable and Sustainable Energy Reviews, 2018, 31, 326–335.

Rossi, P., Amadio, R., dan Soliani., Coupling indicators of ecological value and ecological sensitivity with indicators of demographic pressure in the demarcation of new areas to be protected: The case of the Oltrep Pavese and the Ligurian-Emilian Apennine area (Italy). Journal of Landscape and Urban Planning, 2018, 85, 12–26.

Rossi, P., Angelo, P., Vittorio, A., Orazio, R., Lamberto, S, "Coupling indicators of ecological value and ecological sensitivity with indicators of demographic pressure in the demarcation of new areas to be protected: The case of the Oltrep`o Pavese and the Ligurian-Emilian Apennine area" International Journal of Science and Researcch (IJSR), 2017 (Italy).

Turkey, C., Eren, O., Mehmet, E., Mehmet, K., “GIS-based Fuzzy MCDA Approach for Siting Refugee Camp: A Case Study for Southeastern” International Journal of Disaster Risk Reduction, 2016

Zyoud, S.H., Fuchs, H.D., A bibliometric-based survey on AHP and TOPSIS techniques. Expert Systems with Applications, Journal of Renewable and Sustainable Energy Reviews, 2017, 78, 158–181.

DOI: http://dx.doi.org/10.21927/ijubi.v1i1.851


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