Dynamic System Modeling for Optimizing Bulog’s Rice Supply Chain in Non-Production Center Regions

Purpose: This study aims to analyze rice supply chain issues in Berau Regency, a non-central rice production area, and optimize system performance through a dynamic systems approach. The main problems include low yield due to inconsistent grain quality, high broken rice rates, and limited post-harvest facilities. Methodology: The study used a dynamic systems method by constructing Causal Loop Diagrams and Stock and Flow Diagrams. Data were obtained through observation, interviews, and literature review. Simulations were conducted using Vensim with six scenarios: baseline, improved grain quality, post-harvest technology modernization, distribution expansion, increased production, and the optimal scenario. Results: Improved grain quality had the greatest impact, with an 8–12% increase in yield compared to the baseline. Technological modernization reduced broken rice by 15% and increased processing capacity. Increasing production without increasing capacity overloaded the system and reduced efficiency. The optimal scenario produced the best performance with a more balanced system and minimal bottlenecks. Conclusion: Rice supply chain performance cannot be improved through separate interventions. An integrated approach combining quality, technology, and distribution is the most effective strategy for improving system efficiency and stability. Originality: This research contributes in the form of an integrated dynamic system model that is able to identify leverage points and support the formulation of rice supply chain policies in non-production center areas.

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Publication Details

Journal
Jurnal Rekayasa Sistem Industri
Published
2026-10-29
DOI
https://doi.org/10.26593/jrsi.10171
Primary Topic
Agriculture and Agroindustry Studies
Type
article
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article

Dynamic System Modeling for Optimizing Bulog’s Rice Supply Chain in Non-Production Center Regions

Nurmasitya Kemalaintan, Aprilia Rizky Lutviana Sari, Vincentsius Felmi Ajang
1 links
Jurnal Rekayasa Sistem Industri
Agriculture and Agroindustry Studies
article

Dynamic System Modeling for Optimizing Bulog’s Rice Supply Chain in Non-Production Center Regions

Nurmasitya Kemalaintan, Aprilia Rizky Lutviana Sari, Vincentsius Felmi Ajang
article en

Abstract

Purpose: This study aims to analyze rice supply chain issues in Berau Regency, a non-central rice production area, and optimize system performance through a dynamic systems approach. The main problems include low yield due to inconsistent grain quality, high broken rice rates, and limited post-harvest facilities. Methodology: The study used a dynamic systems method by constructing Causal Loop Diagrams and Stock and Flow Diagrams. Data were obtained through observation, interviews, and literature review. Simulations were conducted using Vensim with six scenarios: baseline, improved grain quality, post-harvest technology modernization, distribution expansion, increased production, and the optimal scenario. Results: Improved grain quality had the greatest impact, with an 8–12% increase in yield compared to the baseline. Technological modernization reduced broken rice by 15% and increased processing capacity. Increasing production without increasing capacity overloaded the system and reduced efficiency. The optimal scenario produced the best performance with a more balanced system and minimal bottlenecks. Conclusion: Rice supply chain performance cannot be improved through separate interventions. An integrated approach combining quality, technology, and distribution is the most effective strategy for improving system efficiency and stability. Originality: This research contributes in the form of an integrated dynamic system model that is able to identify leverage points and support the formulation of rice supply chain policies in non-production center areas.

Jurnal Rekayasa Sistem IndustriVol. 15(2)
Politeknik Sinarmas Berau Coal (ID)
Industry, innovation and infrastructure, Zero hunger
Openalex Percentile: Top 6%
Agriculture and Agroindustry Studies
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