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Journal : Operations Research: International Conference Series

Dynamic Modeling of Catfish Farming Development Using iThink Software Febrian, Muhamad Zidane; Saka, Bima Ariya; Werdaya, Rangga Kusumah Putra Marsha; Tosida, Eneng Tita; Subandi, Kotim; Sugara, Victor Ilyas
Operations Research: International Conference Series Vol. 6 No. 1 (2025): Operations Research International Conference Series (ORICS), March 2025
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i1.367

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.
Dynamic Simulation Model of Garlic Availability in Bali Using iThink Software Hafizi, Muhamad; Hafiz, Syauqi Abyan; Sugiharto, Bambang; Tosida, Eneng Tita; Subandi, Kotim; Sugara, Victor Ilyas
Operations Research: International Conference Series Vol. 6 No. 1 (2025): Operations Research International Conference Series (ORICS), March 2025
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i1.368

Abstract

Fluctuations in local production, increasing demand, and dependence on garlic supplies from outside the island make it difficult for Bali Province to maintain a stable garlic supply. iThink software is used to model the dynamic garlic availability system in this study. This simulation method involves creating a Causal Loop Diagram (CLD), creating a mathematical model based on differential equations, and conducting table and graphical analysis of the simulation results. The simulation results show that the linear increase in garlic demand of 6,289.08 tons per year can be offset by local production increasing to 31,071.73 in 2024 and an off-island supply of 4,176 tons per year. The projection of garlic availability until 2024 is 122,895.71 tons. The results show that maintaining a stable supply of off-island garlic is the main way to ensure sustainable garlic availability in Bali.
Prediction of Chicken Meat Availability in Cilegon City Using iThink Dynamic Simulation Model Firdaus, Muhamad Haikal; Sauri, Ahmad Sopyan; Turrohman, Syaifa; Tosida, Eneng Tita; Subandi, Kotim; Sugara, Victor Ilyas
Operations Research: International Conference Series Vol. 6 No. 1 (2025): Operations Research International Conference Series (ORICS), March 2025
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i1.369

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.
Dynamic Simulation of Doctor Needs in East Java Province By Using iThink Zabrina, Siti; Nasyifa, Hesti; Febryan, Calvin; Tosida, Tita; Subandi, Kotim; Sugara, Victor Ilyas
Operations Research: International Conference Series Vol. 6 No. 1 (2025): Operations Research International Conference Series (ORICS), March 2025
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i1.370

Abstract

This study compares the calculation of doctor needs in East Java Province using two dynamic simulations, namely iThink and Python. The purpose of this study is to identify differences in results between the two simulation platforms in estimating the need and availability of doctors based on population growth and the number of medical graduates. The methodology used involves modeling population dynamics and the flow of active doctors by considering the inflow of medical students and the WHO ratio. The results of the iThink simulation show an increase in the number of active doctors from 42,000 to 63,793 in 10 years, approaching the ideal WHO ratio, while the Python simulation shows a significant gap between the need and the number of doctors, with the need reaching 257,680 doctors in 2029, but the number of active doctors only reaching 21,686. This difference is due to variations in the methodology and approach of each platform. The conclusion of this study shows the importance of policy interventions to meet the need for doctors in the future and reduce the gap between the need and availability of doctors.