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Pairwise comparison method for determining Geographic Difficulty Level (Case study: Bandung Barat Regency)

Ainiyah N.a, Deliar A.a, Virtriana R.a

a Remote Sensing and Geographic Information Science Research Division, Institute of Technology Bandung (ITB), Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Geographic Difficulty Level (GDL) is a picture of human limitations in conducting activities in the earth’s space as an impact of physical topography of the earth. Roads and slopes are one of geospatial parameter that can be used to determine GDL. Spatial decision making process in determining the level of interest between parameters in GDL’s determination is quite difficult if field measurement and parameter’s checking are conducted directly. Therefore, the utilization of Geographic Information System (GIS) application on determination activity of GDL to process both spatial and non-spatial data, are expected to facilitate the work and provide the optimal results in terms of time, cost, and effort. Data processing in GDL’s determination can be obtained through weighting techniques by using pairwise comparison (PC) method. PC is one of method to process the decision making scientifically and rationally in providing solution to problems of using the complex parameters in various alternatives. The whole results of application concepts and methods in data processing indicate that model can provide the GDL’s information of a region. Furthermore, the decision making can be carried out to determine the areas with relatively have more difficult GDL and or relatively low compared to another areas.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Complex parameter,Decision making process,Field measurement,Geographic Difficulty Level,Level Of Interest,Pair-wise comparison,Weighting,Weighting techniques[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Geographic Difficulty Level,Geographic Information System,Pairwise comparison,Weighting[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]