Abstract:
Broiler is a type of broiler which is the result of crosses from chicken breeds that
have high productivity. There are several broiler strains (trademarks) that have been
successfully developed in Indonesia such as the CP 707 Strain, Lohman Strain (MB
202), Super Chick Strain, Cobb 500 Strain, Ross Strain, and Hybro Strain. The purpose
of this study was to determine the best quality broiler chicks based on a decision
support system using the MOORA method. The MOORA method in this decision support
system plays a role in generating the value of broiler chicks in accordance with the
required criteria. This system is designed using UML diagrams, PHP framework and
MySQL database. The results obtained from this study are the alternative that has the
highest weight, namely Strain CP 707 with a total value of 0.297139, so that these
results can assist farmers in making decisions for determining broiler chicks.
