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

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.

Analysis of Science Literacy-Based High School Physics Textbooks using Weight Product Methods

“…The eleven types of high school physics textbooks above are editions of the revised 2013 curriculum. The first step in using the weight product method is determining the criteria (Bachriwindi, Putra, Munawaroh, & Almais, 2019). The criteria selected are aspects of scientific literacy, including: knowledge of science as the first criterion (C1), investigation of the nature of science as the second criterion (C2), science as a way of thinking as the third criterion (C3), and the interaction of science, technology and society.…”

A Study on Data Protection in Cloud Environment

“…August 2023 Revised: 10 October 2023 Accepted:25 October 2023 ___________________________________________________________________________________________________________________ Figure3shows the graphical representation of the different Cloud Computing Security Software (CCSS) options, along with their preference scores, WASPAS coefficients, and ranks. CCSS1 has a preference score of 0.643368, a WASPAS coefficient of 0.643368, and is ranked 3rd.…”

Pengujian Optimization dan Non-Optimization Query Metode Topsis untuk Menentukan Tingkat Kerusakan Sektor Bencana Alam

“…Hal ini terjadi karena kriteria pengumpulan data awal yang digunakan oleh surveyor di lapangan dipersepsikan berbeda sehingga kategorisasi data yang ada menjadi berbeda. Dengan demikian, timbul masalah dan data bencana yang masuk ke BPBD Provinsi berbeda dengan keadaan di lapangan karena kriteria data untuk persiapan tindakan rehabilitasi dan rekonstruksi pascabencana yang digunakan oleh masing-masing surveyor dianggap berbeda [4].…”