Implementation of Web-Based Weighted Product Use Decision Support System to Determine the Post-Disaster Damage and Loss

Abstract

Abstract Determination of damage and losses after natural disasters is carried out to determine the type of damage and the amount of loss after natural disasters that must be borne by the government. In order for the type of damage and the magnitude of the loss after natural disasters according to the data in the field, a study is carried out that implements the Decision Support System (DSS) with the Weighted Product (WP) method. The results obtained are tests of pattern data which are calculated using Weighted Product (WP) compared to 3 different test data, namely using damage and loss data after the natural disaster in East Java in 2010, 2011. The results of the 3 test data used the first amount of 373 data, which produces precision 56.50%, recall 50.50%, accuracy 53.30%, and f-measure 39.10%. For the second data using the data 77, which produces precision 52.80%, recall 36.30%, accuracy 43.02%, and f-measure 36.30%. And for the third data using data from data 24, which produces 50% precision, 50% recall, 50% accuracy, and 50% f-measure. From the 3 types of test data used can be concluded that the Weighted Product (WP) method has a high level of precision, f-measure, recall, and accuracy if the amount of data used is increasing.

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