Optimization of Raw Materials Stock Eggtray PT. Era Light Box Gresik Using Genetic Algorithm

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Dwiki Ashari Kusumawardhana
Wiwiet Herulambang

Abstract

Obstacles that occur today in the PT. Era ray Box still use manual calculation for the stock of raw
materials, so the impact on the delay in the department information and management company itself. In addition
the company also often lose money because the number of ordering goods is increasing and are still using
manual calculation so that the risk of causing an invalid calculation and not achieving the target on
production.Genetic algorithms are search techniques in computer science to find a settlement forecasts for
optimization and search problems. The results of the optimization experiments that have been carried out, the
results obtained are different by comparing the 10 iterations, 100 iterations and 1000 iterations. From the
experiments performed by the user with a genetic algorithm system in the output of raw materials Dregs S.awal
2438333333 kg, Dregs Exit 3002885622 kg, 342 kg S.awal spindles, spindles Exit 1069444444 kg, 988 kg
S.awal Carton, Cardboard Exit 9358 kg, obtained the best fitness value is 28679.2.

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How to Cite
Kusumawardhana, D. A. ., & Herulambang, W. . (2018). Optimization of Raw Materials Stock Eggtray PT. Era Light Box Gresik Using Genetic Algorithm. JEECS (Journal of Electrical Engineering and Computer Sciences), 3(2), 459–466. https://doi.org/10.54732/jeecs.v3i2.133
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