Decision Support System for Distribution Of Financial Assistance To Flood Victims

Business Intelligence can be used in making decisions about the distribution of aid for victims of post-flood disasters. Analysis carried out with the help of Business Intelligence can also help in efficiently planning the allocation of financial assistance. The stages in this study include clustering the severity of flooding from DKI Jakarta Provincial Flood Event Recapitulation Data, using the K-Means Clustering method. Furthermore, ranking is carried out to get the order of giving the amount of assistance using Weighted Product, Simple Additive Weighting, and TOPSIS. This research produces a decision support system that can be used in the process of distributing aid to locations affected by floods and even other disasters. The evaluation of the DSS (Decision Support System) results involves comparing the rankings generated by the system with the rankings based on the actual ground truth factors. The WP method obtained an MSE of 20.00, an RMSE of 4.47, an MAE of 20.00, and a MAPE of 1.31% with a very accurate category. The TOPSIS method obtained an MSE of 10.73, an RMSE of 3.28, an MAE of 10.73, and a MAPE of 1.32% with a very accurate category. Whereas the SAW method obtained an MSE of 20.37, RMSE of 4.51, MAE of 20.37, and a MAPE of 1.22% with a very accurate category.