Dynamic Modeling of Catfish Farming Development Using iThink Software

This study analyzes the development of catfish farming in the Special Region of Yogyakarta (DIY) using a dynamic systems approach with iThink software. The model evaluates the relationships between local production, demand, external supply, and market prices over a 10-year period. The results indicate that local production can only partially meet demand, leading to a high dependency on external supply, primarily from Boyolali Regency and East Java. Simulations identify optimal strategies to enhance production efficiency, maximize land utilization, and reduce reliance on external supply. Model validation demonstrates that the simulation results align with historical data, making it a reliable tool for supporting sustainable strategic policy planning. This study is expected to provide solutions for food security and strengthen the self-sufficiency of the fisheries sector in DIY.

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Publication Details

Journal
Operations Research International Conference Series
Published
2025-04-23
DOI
https://doi.org/10.47194/orics.v6i1.367
Primary Topic
Food Industry and Aquatic Biology
Type
article
Field-Weighted Citation Impact
0.00
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Dynamic Modeling of Catfish Farming Development Using iThink Software

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Operations Research International Conference Series
Food Industry and Aquatic Biology
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Dynamic Modeling of Catfish Farming Development Using iThink Software

Babatunde Saka, Eneng Tita Tosida, Victor Ilyas Sugara, Kotim Subandi, Muhamad Zidane Febrian, Rangga Kusumah Putra Marsha Werdaya
article en

Abstract

This study analyzes the development of catfish farming in the Special Region of Yogyakarta (DIY) using a dynamic systems approach with iThink software. The model evaluates the relationships between local production, demand, external supply, and market prices over a 10-year period. The results indicate that local production can only partially meet demand, leading to a high dependency on external supply, primarily from Boyolali Regency and East Java. Simulations identify optimal strategies to enhance production efficiency, maximize land utilization, and reduce reliance on external supply. Model validation demonstrates that the simulation results align with historical data, making it a reliable tool for supporting sustainable strategic policy planning. This study is expected to provide solutions for food security and strengthen the self-sufficiency of the fisheries sector in DIY.

Operations Research International Conference SeriesVol. 6(1)
Openalex Percentile: Top 64%
Food Industry and Aquatic Biology
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