Komentar untuk artikel Savitri et al.: Implementasi algoritma genetika dalam mengestimasi kepadatan populasi jackrabbit dan coyote

Mohamad Khoirun Najib; Sri Nurdiati

doi:10.34312/jjbm.v3i2.16857

Komentar untuk artikel Savitri et al.: Implementasi algoritma genetika dalam mengestimasi kepadatan populasi jackrabbit dan coyote

Mohamad Khoirun Najib, Sri Nurdiati

Abstract

This article is a commentary on research conducted by Savitri et al which was published in Jambura Journal of Biomathematics volume 3 number 1 in 2022. It was found that there was an error in the MAPE calculation for the approximation of population density of coyote. The MAPE obtained for coyotes was 66.05% so there was a significant difference from what had been given before. With these results, there is an opportunity to estimate parameters with better accuracy.

Keywords

Correction; Coyote; MAPE; Lotka-Volterra

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References

D. Savitri, N. W. Hidajati, and H. S. Panigoro, “Implementasi algoritma genetika dalam mengestimasi kepadatan populasi jackrabbit dan coyote,” Jambura Journal of Biomathematics, vol. 3, no. 1, pp. 23–28, 2022. DOI: 10.34312/jjbm.v3i1.11935

A. Konak, D. W. Coit, and A. E. Smith, “Multi-objective optimization using genetic algorithms: A tutorial,” Reliability engineering & system safety, vol. 91, no. 9, pp. 992–1007, 2006. DOI: 10.1016/j.ress.2005.11.018

C.-H. Wang and S.-W. Tsai, “Multi-objective optimization using genetic algorithm: Applications to imperfect preventive maintenance model,” in 2011 6th International Conference on Computer Science & Education (ICCSE). IEEE, pp. 1355–1360, 2011. DOI: 10.1109/ICCSE.2011.6028884

DOI: https://doi.org/10.34312/jjbm.v3i2.16857

Copyright (c) 2022 Mohamad Khoirun Najib, Sri Nurdiati

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