Performance Index Model of River and Infrastructure

Abstract

The study of river performance and infrastructure is not only conducted qualitatively. An instrument is needed to examine the object being observed quantitatively (usually with a minimum and maximum number scale interpretation). The review of the physical condition assessment for the river performance index and river infrastructure has not been developed based on a study of the variables that influence it. Therefore, this study aims to develop a mathematical model of the index of river performance and infrastructure as a decision support system for the integration of programs and activities related to river management. The research location was chosen based on the consideration that there has been no preparation of a performance index model in the Babon River. In this study, the authors use the Smart-PLS (Partial Least Square) application to analyze and narrow the variables and then re-analyze them using the Generalized Reduced Gradient (GRG) method to calculate non-linear equations. There are four variables, eight dimensions, and 51 (indicators) used, with the types of technical, spatial, social, and regulatory variables. Based on the PLS-SEM analysis, the results were narrowed into 4 (four) variables, 8 (eight) dimensions, and 51 (fifty one) indicators that were interrelated with one another. The GRG (Generalized Reduced Gradient) analysis with the solver in Microsoft Excel showed the most influential weights consisting of: technical variables, namely rivers (0.475) and flood problems (0.582); spatial variables, namely land use (0.418) and land cover (% Urban) (0.498); social variables, namely community activities (0.454), settlement density and socio-cultural conditions (0.289), and community participation (0.257); and regulation variables, namely law enforcement efforts (1.000). This research can be used for other watersheds with conditions or characteristics relatively similar to the Babon River. However, research related to this formulation on other watershed conditions still needs to be done.

Study of the influence of raw water infrastructure performance on drinking water

“…The groundwater performance index, the sabo dam, the urban drainage system, and rivers are only a few of the studies that have been done similarly in the last five years. There are three types of variables used in the groundwater performance index [4], the polder performance index [5], the urban drainage performance index [6], the river performance index research variables [7], and the sabo dam [8], namely technical factors, regulatory aspects, and social aspects. This study is needed to figure out exactly which factors have the most impact on two different ways to measure performance.…”