Risk Analysis and Mitigation of Rice Supply Chain in Madura Island Using SCOR Model and AHP-TOPSIS Method

This study aims to identify and formulate risk mitigation strategies for the rice supply chain in Madura Island using the SCOR model approach and the AHP-TOPSIS method. We use the SCOR model as a framework for the supply chain flow. We use AHP to assess the risks in the supply chain and prioritize risk mitigation strategies using TOPSIS. The results showed that the most significant risk was in the Source (S) category with a weight of 0.51, followed by the Make (M) risk of 0.22. In the Source category, the two most influential risks were supplying instability due to uncertain weather ($\mathrm{S} 5=0.50$) and decreased raw material inventory (S1 $=0.26$). In the Make category, the risk of delays in rice production $(M 1=0.46)$ and weather uncertainty $(M 2=0.25)$ were the two most influential risks. In the Plan category, fluctuating demand $(P 1=0.49)$ and inaccurate production estimates $(P 2=0.24)$ are the two most influential risks, while in the Delivery category, scheduling problems $(D 1=0.45)$ and inaccurate delivery records $(\mathrm{D} 2=0.23)$ are the two most influential risks. Based on TOPSIS calculations, three risk mitigation strategies identified as top priorities include maintaining stable supply and prices $(\mathrm{A} 2=0.85)$, implementing information technology for supply chain monitoring (A12 = $0.74)$, and conducting accurate supply planning (M11 $=0.55$). This study makes a significant contribution to managing rice supply chain risks on Madura Island.