Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/44389
Title: Selecting goldfish broods use the weighted product and simple additive weighting methods
Authors: Ramadiani, Ramadiani
Jundillah, Muhammad Labib
Keywords: Decision support system
Majalaya goldfish
Simple additive weighting
Superior breeder
Weighted product;
Issue Date: 20-Dec-2022
Publisher: IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 11, No. 4, Dec. 2022, pp. 1405~1413
Citation: RAMADIANI, et al. 2022. "Selecting goldfish broods use the weighted product and simple additive weighting methods". IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 11, No. 4, Dec. 2022, pp. 1405~1413 https://ijai.iaescore.com/index.php/IJAI/article/view/21883
Abstract: Majalaya carp is a freshwater fish that has important economic value and is widespread in Indonesia. Goldfish is the most cultivated fish because it has many advantages both physiologically and genetically. Several factors of assessment in the selection of superior brood stock that can be considered in the cultivation of goldfish cultivators are; ideal body weight, fish movement, physical deformities, scales, and the base of the tail. All of these factors can help in the decision-making process for superior goldfish. This study uses two methods, namely the simple additive weighting (SAW) method and the weighted product (WP) method. Based on the results of research that has been carried out on 20 superior broodfish of Majalaya goldfish, the level of accuracy is obtained by comparing with existing data. The WP method gets an accuracy value of 90% while the SAW method gets an accuracy value of 80%.
URI: http://repository.unmul.ac.id/handle/123456789/44389
ISSN: 2089-4872/2252-8938
Appears in Collections:A - Computer Sciences and Information Technology

Files in This Item:
File Description SizeFormat 
21883-42230-1-PB.pdf464.35 kBAdobe PDFView/Open
1570767370 turnitin IJAI 2022 fix.pdf1.57 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.