Application of Mathematical Model in Bioeconomic Analysis of Skipjack Fish in Pelabuhanratu, Sukabumi Regency, Jawa Barat

Fathimah Syifa Nurkasyifah; Asep K. Supriatna; Herlina Napitupulu

doi:10.46336/ijqrm.v5i1.598

Application of Mathematical Model in Bioeconomic Analysis of Skipjack Fish in Pelabuhanratu, Sukabumi Regency, Jawa Barat

Fathimah Syifa Nurkasyifah, Asep K. Supriatna, Herlina Napitupulu

Abstract

Presently, sustainability has emerged as a crucial and compelling concern across diverse sectors, evolving into a long-term agenda championed by the United Nations through the implementation of the Sustainable Development Goals (SDGs). Within the SDGs, particularly under point 14 addressing life below water, emphasis is placed on ensuring sustainability in aquatic ecosystems, encompassing the fisheries sector. The concept of Maximum Sustainable Yield (MSY) holds significance in the bioeconomic analysis of fisheries, influencing decision-making processes aimed at preserving sustainability. Regrettably, several studies have identified inaccuracies in the determination of MSY, leading to instances of overfishing in various regions. Conversely, it is imperative to give due attention to Maximum Economic Yield (MEY) to ensure that economic considerations remain integral to decision-making processes. Consequently, a more comprehensive and detailed bioeconomic analysis, incorporating mathematical models, becomes essential. Among these models, the logistic growth rate model and the Gompertz growth rate model stand out as significant contributors.

Keywords

mathematical models; logistic growth rate model; Gompertz growth rate model.

Full Text:

PDF

References

Alfarizi, W., Guntur, G., & Laksono, A. S. 2019. Analysis of Catch Quota Policy in The Utilization Of Fishery Resources in Pasuruan District Of East Java. Berkala Perikanan Terubuk, 47(2), 194-205.

Clarke, Raymond P., Stacey S. Yoshimoto, dan Samuel G. Pooley. 1992. “A Bioeconomic Analysis of the Northwestern Hawaiian Islands Lobster Fishery.” Marine Resource Economics 7(3): 115–40.

Dichmont, C. M. dkk. 2010. “On implementing maximum economic yield in commercial fisheries.” Proceedings of the National Academy of Sciences of the United States of America 107(1): 16–21.

Diop, Bassirou dkk. 2018. “Maximum Economic Yield Fishery Management in the Face of Global Warming.” Ecological Economics 154: 52–61.

Food and Agriculture Organization of the United Nations. 2020. The State of World Fisheries and Aquaculture 2020. FAO.

Husniah, H., & Supriatna, A. K. (2014, February). Marine biological metapopulation with coupled logistic growth functions: The MSY and quasi MSY. In AIP Conference Proceedings (Vol. 1587, No. 1, pp. 51-56). American Institute of Physics.

Husniah, H., & Supriatna, A. K. (2015, October). Optimal number of fishing fleet for a sustainable fishery industry with a generalized logistic production function. In 2015 International Conference on Industrial Engineering and Systems Management (IESM) (pp. 546-554). IEEE.

Mayalibit, D. N. K., Kurnia, R., & Yonvitner, Y. (2014). Bioeconomic analysis for management of yellowstripe scad (Selaroides leptolepis, Cuvier and Valenciennes) landed in Karangantu, Banten. International Journal of Bonorowo Wetlands, 4(1), 49-57.

Muhammad, Iqbal., Nageena, Nazir., Naira, Ashraf., Ajaz, Ahmad. (2012). Multiple Regression Analysis of Horticultural Data: An Illustration using R-Software.

Napitupulu, Lucentezza dkk. 2022. “Trends in Marine Resources and Fisheries Management in Indonesia: A Review.” World Resources Institute.

Ramadhan, A. P., Setiawan, K. E., Amriyati, P., & Supriatna, A. K. (2014). Software development in estimating parameters for Logistic and Gompertz population growth models arising from a fishery problem. In E-Proc. 2nd Int. Conf. Artificial Intellegence and Computer Science (pp. 110-119).

Sholahuddin, Asep, Agung Pre Ramadhan, dan Asep K. Supriatna. 2015. “The Application of ANN-Linear Perceptron in the Development of DSS for a Fishery Industry.” Dalam Procedia Computer Science, Elsevier B.V., 67–77.

Supriatna, A. K., A. Sholahuddin, A. P. Ramadhan, dan H. Husniah. 2016. “SOFish ver. 1.2 - A Decision Support System for Fishery Managers in Managing Complex Fish Stocks.” IOP Conference Series: Earth and Environmental Science, Institute of Physics Publishing.

Supriatna, A. K., Husniah, H., Behavior, I., & Gaol, F. L. (2015a). Sustainable harvesting strategy for natural resources having a coupled Gompertz production function. In Interdisciplinary Behavior and Social Sciences-Proceedings of the 3rd International Congress on Interdisciplinary Behavior and Social Sciences, ICIBSoS (Vol. 2014, pp. 91-95).

Supriatna, A. K., Ramadhan, A. P., & Husniah, H. (2015b). A decision support system for estimating growth parameters of commercial fish stock in fisheries industries. Procedia Computer Science, 59, 331-339.

DOI: https://doi.org/10.46336/ijqrm.v5i1.598