SERVICE INDEX MODELING OF URBAN DRAINAGE NETWORK

Authors

  • Hari Suprayogi
  • Mohammad Bisri
  • Lily Montarcih Limantara
  • Ussy Andawayanti

Keywords:

capacity system, Generalized Reduced Gradient (GRG) Methods, optimal, service index, technical and non-technical aspect, urban drainage

Abstract

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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Published

2018-06-02

How to Cite

Hari Suprayogi, Mohammad Bisri, Lily Montarcih Limantara, & Ussy Andawayanti. (2018). SERVICE INDEX MODELING OF URBAN DRAINAGE NETWORK. GEOMATE Journal, 15(50), 95–100. Retrieved from https://geomatejournal.com/geomate/article/view/964

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