Open AccessDecision Support System to Determine Qualified Corn using TOPSIS Method
Author(s) -
Serly Dwy Lestary,
gmaithem Ajith Singh,
P S Nagaraja,
Kripa Shankar
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1118.1291s419
Subject(s) - topsis , ideal solution , preference , similarity (geometry) , competition (biology) , mathematics , staple food , crop , agricultural engineering , statistics , computer science , agricultural science , agronomy , operations research , agriculture , engineering , environmental science , artificial intelligence , biology , chemistry , ecology , image (mathematics)
Corn is a staple food ingredient, one of the areas where people consume corn instead of rice is Southeast Sulawesi. Qualified corn is one of the superior seeds, while some types of superior corn are hybrid corn and composite corn. The TOPSIS method is one of the multi criteria decision-making methods with simple concepts and efficient competition and has the ability to measure relative performance and alternative decisions in mathematical form. To make it easier to find qualified corn, the Technique for Order preference method is used. Similarity to Ideal Solution. This is facilitating corn farmers to choose good and productive corn crop quality, applying the TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution) in determining quality, to help provide alternatives in m determine qualified corn plants. Based on the results of research conducted on 10 qualified corn alternatives that had been tested, a result is obtained: V1 = 0.577350 V2 = 0.474992 V3 = 0.510529 V4 = 0.463630 V5 = 0.609622 V6 = 0.435983 V7 = 0.533048 V8 = 0.373977 V9 = 0.530333 V10 = 0.448275 From the results it can be concluded that V5 = 0.609622 had fulfilled the requirements and can be said to be good qualified corn.