A Model-Driven Approach to Boost Soybean Productivity and Efficiency

This study develops a system dynamics model to address challenges in soybean productivity and efficiency within Indonesia's agricultural sector, where domestic production struggles to meet rising demand. The model comprehensively integrates production inputs, harvest area dynamics, market demand, and post-harvest distribution processes to identify effective policy interventions. In this study, two scenarios are used: the implementation of superior seeds and efficient loss reduction in post-harvest handling. The impact of implementing superior seeds can significantly increase soybean productivity, which is projected to reach 1.78 tons per hectare in 2028 and approximately 2.4 tons per hectare in 2040. Implementing efficiency measures - such as efficient post-harvest handling (e.g., hermetic bags and FIFO stock rotation) - significantly mitigates losses and sustains higher production levels. This research offers an analytical foundation for integrated and responsive policies aimed at fostering a more resilient and sustainable soybean agricultural system.