Landslide Susceptibility Assessment for Cameron Highlands using Analytical Hierarchy Process
Muhammad Izzat Mohd Hanafiah1, Badariah Solemon2, Rohayu Omar3, Rasyikin Roslan4, Warishah Abdul Wahab5, Intan Nor Zuliana Baharuddin6, Vigneswaran Gunasagaran7

1Muhammad Izzat Mohd Hanafiah*, College of Graduate Studies, University Tenaga Nasional Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
2Badariah Solemon,  Institute of Energy Infrastructure, University Tenaga Nasional Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
3Rohayu Omar,  Institute of Energy Infrastructure, University Tenaga Nasional Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
4Rasyikin Roslan,  Institute of Energy Infrastructure, University Tenaga Nasional Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
5Warishah Abdul Wahab,  Institute of Energy Infrastructure, University Tenaga Nasional Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
6Intan Nor Zuliana Baharuddin,  Institute of Energy Infrastructure, University Tenaga Nasional Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
7Vigneswaran Gunasagaran,  College of Graduate Studies, University Tenaga Nasional Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
Manuscript received on September 13, 2019. | Revised Manuscript received on September 22, 2019. | Manuscript published on October 30, 2019. | PP: 3494-3499 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2673109119/2019©BEIESP | DOI: 10.35940/ijeat.A2673.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Landslides susceptibility assessment has been conducted to identify the landslide-prone areas by using Geographical Information System (GIS) through Analytical Hierarchy Process (AHP) technique. Ten predictive or causative factors, such as digital elevation map (DEM), aspect, slope, curvature, geology, land use, fault, river, road and rainfall are used to map the susceptibility of landslides. Five classification zones of landslide susceptibility area are classes to very high, high, moderate, low and very low zone. The classification zones were compared and validated using a landslide inventory map produce from the integration of historical data and field survey using area under curve (AUC) method. The AHP techniquefinalresult shows 78.0% accuracy of landslide prediction, which considered as a fair result and it is acceptable. The mitigation measures for planning safe urbanization can be formulated using this susceptibility map.
Keywords: Landslide, Susceptibility map, Analytical hierarchy process, Area under curve.