SERVICE INDEX MODELING OF URBAN DRAINAGE NETWORK
Author(s) -
Hari Suprayogi
Publication year - 2018
Publication title -
international journal of geomate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 17
eISSN - 2186-2990
pISSN - 2186-2982
DOI - 10.21660/2018.50.04204
Subject(s) - index (typography) , service (business) , drainage , computer science , environmental science , business , world wide web , ecology , marketing , biology
This research develops a formula for determining the condition of infrastructure service of urban drainage network based on the technical and non-technical aspect. This formula works by elaborating the variable and indicator which gives the values to each aspect both the technical and non-technical one. The three variables that give the important aspect to the technical aspect namely system capacity, puddle problems and drainage patterns, each indicated by an indicator. Non-technical aspects influenced by five variables are institutional management, legal and regulatory aspects, socio-cultural and economic, public and private roles and flood losses. The research conducts in the Citepus drainage network that has 16 primary channels. Collecting data from the technical aspects is carried out by the direct site visit measurements as well as the secondary data collection. The non-technical aspects use the questionnaire as the qualitative data that converted to the quantitative one. Furthermore, an analysis using the GRG-Generalized Reduced Gradient method is used by allowing the nation-linear constraints and arbitrary bounds on the variables. The result of this research is the “Suprayogi” index model, with regard of the urban drainage index model that is developed using the technical and non-technical aspects involving the variables and indicators affecting the service level of the drainage network. The result shows, for the technical aspect: the capacity system has the largest influence with the determinant coefficient of 0.853, followed by the puddle problems (0.127), and the drainage patterns (0.07). For the non-technical aspects: socio-cultural and economic aspect has the greatest influence with the determinant coefficient of 0.47, followed by flood losses (0.604), legal and regulatory aspect (0.306), the institutional management (0.087), the public and private roles (0.0026)..
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