Water-Flow-Like Algorithm based Decision Support Model for Flood Control Operation System

Abstract

Prediction of water level functioned by the local government Jakarta has only been tidal forecasts or predictions of water levels at sea. At present there is no open and close floodgate regulation system either through mathematical calculations or decision-making models that produce accurate numbers. The purpose of this research is to find out what parameters are involved in determining the floodgate opening using the water flow algorithm (WFA) method. It operated to model the river water flow to get the best decision for opening and closing floodgate in flood control of Manggarai floodgate in Jakarta. This research used quantitative data analysis method. The data reported was real data coming from the field. At the end of this study, the relationship between water level reported every hour and the amount of time needed for the water reservoir at the Manggarai floodgate to be fully alerted has been determined. WFA implemented academically in this study was functioned to predict the flow of water at the Manggarai floodgate, as a result of the flow of water coming from the Katulampa weir. Based on the prediction results of the water discharge, we are able to get the volume of water from the Manggarai floodgate, thus we are able to determine open decisions close at the Manggarai floodgate.