Penerapan Algoritma Honey Bee Mating Optimization pada Kompetisi Liga Persebaya. (Application of the Honey Bee Mating Optimization Algorithm in the Persebaya League Competition).

Arnanda, Febryana (2023) Penerapan Algoritma Honey Bee Mating Optimization pada Kompetisi Liga Persebaya. (Application of the Honey Bee Mating Optimization Algorithm in the Persebaya League Competition). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

The Persebaya League is a place for coaching from an early age to youth under the auspices of PT Persebaya Indonesia. In this Persebaya league competition, 20 amateur Persebaya members participated. Scheduling in soccer competitions is one of several key factors so that competitions can run well. When making irrelevant schedules will affect the condition of a team taking part in the competition, there are countless possibilities that can occur. So from that it is what makes a limit for the human brain in making a decision and action at this time. Honey Bee Mating Optimization (HBMO) algorithm is a population-based solution-finding algorithm developed by Pham, Ghanbarzadeh et al. in 2005. Where by imitating the behavior of looking for the best generation of honey bee colonies. In its basic version, this algorithm will perform like a global search, and is used for combinatorial optimization as well as continuous optimization. Based on the results achieved in chapter 4, it has been concluded that: 1. This scheduling system can be used by the person in charge of making schedules. 2. This system makes it easier for the organizers of the Persebaya Amateur Competition to schedule competitions that were previously still manual. 3. The criteria used in the optimization are using the Honey Bee Mating Optimization algorithm which mimics bee colonies. Keywords: honey bee, scheduling, competition, Persebaya league

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