Egg Incubator Design Using Artificial Intelligent

  • Farrady Alif Fiolana Department of Electrical Engineering, Faculty of Engineering, Islamic University of Kadiri
  • Diah Arie W.K. Department of Electrical Engineering, Faculty of Engineering, Islamic University of Kadiri
  • Ricki Anas Ansori Department of Electrical Engineering, Faculty of Engineering, Islamic University of Kadiri
DOI: https://doi.org/10.32503/prosidingseminar.v0i0.2

Abstract

In order for success rate of egg hatching to be high, the egg incubator system must be able to maintain the temperature and level it in the chamber. The ideal temperature for hatching chicken eggs is around 36°C - 39°C and 50% - 60% humidity. They must stable and even. The hatching chamber is equipped with 4 temperature sensors installed in all corners of the chamber and with 2 air heaters and 3 blowers. The control system used is fuzzy logic with MIMO (Multiple Input Multiple Output) which has been optimized using the GA (Genetic Algorithm). GA is one type of AI (Artificial Intelligent). Optimization is used so that the system is able to adapt to environmental conditions. The temperature obtained is an average of 37.68℃ with a deviation of 0.47℃. The success rate of hatching reaches 83.33%.

Published
2019-11-28
How to Cite
ALIF FIOLANA, Farrady; ARIE W.K., Diah; ANSORI, Ricki Anas. Egg Incubator Design Using Artificial Intelligent. Prosiding Seminar, [S.l.], p. 9-15, nov. 2019. ISSN 2715-713X. Available at: <https://www.prosiding.pasca.uniska-kediri.ac.id/index.php/prosidingseminar/article/view/2>. Date accessed: 01 july 2025. doi: https://doi.org/10.32503/prosidingseminar.v0i0.2.
Citation Formats
Issue
2019: 2019 International Conference of Interdisciplinary Sciences
Section
Articles
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