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Analysis of Drinking Water Supply System Improvement Using Fuzzy AHP(Case Study: Subang Local Water Company)
Budi Prakoso S.a, Notodarmojo S.a
a Water and Sanitation Infrastructure Management, Civil and Environmental Engineerning Faculty, Institut Teknologi Bandung, Bandung, 40132, 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]© The Authors, published by EDP Sciences, 2018.Study of infrastructure is required to improve the drinking water supply system, in order to achieve The Long-Term Plan Targets on Water Supply (RPJMN) 2015-2019 concerning 100% universal and equitable access to drinking water services, in accordance with the purpose of Sustainable Development Goals (SDGs) in 2019. Subang district was selected as a case study of water supply improvement because of the improving development in that area and the population growth rate, influencing the need for drinking water. The purpose study is to determine the problems of drinking water supply system, to analyze alternatives for improving water supply system by performing weighted ranking factors in drinking water supply improvement with AHP method and analyzed by fuzzy logic. The method for water supply system improvement could be performed by looking at influential factors using fuzzy AHP approach to obtain some appropriate alternatives. Technical and operational factors was considered the most influential factor in the improvement of water supply system, followed by management capacity, environment, and financial aspect. Fuzzy method with rule base input approach used in this analysis was influencing the output that became the policy alternative to improve drinking water supply.[/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]Equitable access,Financial aspects,Influential factors,Long-term plans,Operational factors,Population growth rates,Water companies,Weighted rankings[/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][/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]https://doi.org/10.1051/matecconf/201814704002[/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]