Open AccessDecision support system for the selection of rice varieties using weighted product method
Author(s) -
Nurmahaludin,
Gunawan Rudi Cahyono,
Joni Riadi,
I Wardiah
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1450/1/012059
Subject(s) - preference , selection (genetic algorithm) , mathematics , product (mathematics) , yield (engineering) , value (mathematics) , variety (cybernetics) , statistics , blight , microbiology and biotechnology , agronomy , computer science , artificial intelligence , biology , geometry , materials science , metallurgy
The selection of rice varieties is a problem because there are a number of criteria that are considered in decision making. The criteria used in this study for the selection of rice varieties are yield potential, average yield, age of harvest, resistance to brown plant hopper pest and resistance to bacterial leaf blight disease. The concept of decision support system is a model for selecting the type of variety desired based on determined criteria (attributes). In this study using the weighted product method because there are a number of criteria in decision making (Multi Attribute Decision Making). The weighted product method calculates the preference value of each alternative where the alternative chosen is the one that has the greatest relative preference value. Based on the test results using an application program created, the relative preference values of each superior rice variety are obtained. From the calculation of the largest preference value is INPARI 1 with a value of V equal to 0.0404.