Prediction of Chicken Meat Availability in Cilegon City Using iThink Dynamic Simulation Model

https://doi.org/10.47194/orics.v6i1.369

Authors

  • Muhamad Haikal Firdaus
  • Ahmad Sopyan Sauri
  • Syaifa Turrohman
  • Eneng Tita Tosida
  • Kotim Subandi
  • Victor Ilyas Sugara

Abstract

The availability of chicken meat is a crucial factor in maintaining price stability and food security in Cilegon City. The increasing demand, influenced by population growth and consumption patterns, must be balanced with optimal supply from farmers and distributors. This study aims to predict the availability of chicken meat using a dynamic simulation model based on iThink. This model is built with a stocks and flows approach and causal loop diagrams to understand the dynamics of the system involving production, import, distribution, consumption, and external factors such as government policies and weather conditions. The simulation results show that the balance of supply and demand is greatly influenced by the level of local production, per capita consumption levels, and import policies. The simulation scenario also reveals that increasing production efficiency and optimizing distribution can increase the availability of chicken meat in the market by 15-20% in the next five years. This model is expected to be a tool for stakeholders in formulating more adaptive policies to maintain the stability of supply and prices of chicken meat in Cilegon City.

References

Abdullah, AH (2018). Causal loop diagram (CLD) system analysis approach in understanding government efforts to increase public access to quality higher education. Iqra' Scientific Journal, 5(2).https://doi.org/10.30984/jii.v5i2.573.

Aminudin, M., Mahbubi, A., & Sari, RAP (2014). Simulation of dynamic system model of potato supply chain in national food security efforts. AGRIBUSINESS JOURNAL, 8(1).https://doi.org/10.15408/aj.v8i1.5125.

Andhika, LR (2019). Dynamic system model: Simulation of public policy formulation. Journal of Economics & Public Policy, 10(1), 73–86.https://doi.org/10.22212/jekp.v10i1.1242.

Faradibah, A., & Suryani, E. (2019). Development of a dynamic system simulation model to improve the efficiency of the transportation operational system. ILKOM Scientific Journal, 11(1), 67–76.https://doi.org/10.33096/ilkom.v11i1.413.67-76.

Galarneau, K. D., Singer, R. S., & Wills, R. W. (2020). A system dynamics model for disease management in poultry production. Poultry Science, 99(11), 5547–5559.https://doi.org/10.1016/j.psj.2020.08.011.

Garcia-Dorado, S.C., et al. (2021). Using Qualitative System Dynamics Analysis Promote Inclusive Livestock Value Chains: A Case Study of the South African Broiler Value Chain. Frontiers in Sustainable Food Systems, 5.https://doi.org/10.3389/fsufs.2021.670756.

Mansilha, RB, Collatto, DC, Lacerda, DP, Morandi, MIWM, & Piran, FS (2019). Environmental externalities in broiler production: An analysis based on system dynamics. Journal of Cleaner Production, 209, 190–199.https://doi.org/10.1016/j.jclepro.2018.10.179.

Mulyaningtyas, D., Arvitrid, NI, Wirawan, A., & Syafrina, M. (2020). Analysis of cold chain system with decentralization strategy of cold storage on price stability of mackerel commodity. Journal of Applied Business Administration, 4(2).

Nusran, M., Dahlan, M., Rauf, N., Nur, T., & Ahmad, K. (2018). Policy of Halal Broilers Using Approach of System Dynamics. IOP Conference Series: Earth and Environmental Science, 175.https://doi.org/10.1088/1755-1315/175/1/012017.

Risyaldi, A., Nusran, M., & Lantara, D. (2021). Study of halal products of broiler chicken meat using a supply chain approach in Makassar. International Journal Mathla'ul Anwar of Halal Issues, 1(1).https://doi.org/10.30653/ijma.202111.10.

Vanany, I., Hajar, G., Utami, NMC, & Jaelani, LM (2021). Modeling food security for staple protein in Indonesia using a system dynamics approach. Cogent Engineering, 8(1).https://doi.org/10.1080/23311916.2021.2003945.

Published

2025-04-23

How to Cite

Firdaus, M. H. ., Sauri, A. S., Turrohman, S., Tosida, E. T., Subandi, K., & Sugara, V. I. (2025). Prediction of Chicken Meat Availability in Cilegon City Using iThink Dynamic Simulation Model. Operations Research: International Conference Series, 6(1), 20–27. https://doi.org/10.47194/orics.v6i1.369