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This study aims to analyze the optimization of seaweed seedling inventory management using the Economic Order Quantity (EOQ) method to enhance cost efficiency for farmers in Tarakan City. The research employs a quantitative descriptive approach, integrating EOQ with forecasting techniques (Moving Average and Exponential Smoothing) to predict raw material needs accurately. Data were processed using Microsoft Excel and POM-QM for Windows to ensure precision. The results indicate that EOQ yields an optimal order quantity of 878 ropes per order, with a frequency of 6 orders per year, a reorder point of 16 ropes, and a total inventory cost (TIC) of IDR 842,681. Compared to traditional methods (TIC IDR 2,132,083), EOQ reduces costs by 60.5%. Forecasting analysis reveals that Exponential Smoothing (MAPE 19.67%) outperforms Moving Average (MAPE 22.5%) in accuracy. These findings highlight EOQ’s effectiveness in minimizing waste, preventing stockouts, and improving productivity. The study provides practical insights for coastal small-scale farmers and policymakers in the marine sector.

CV Cielofood Pratama is a beverage processing business with nutmeg raw materials, located in Bogor City, West Java. The company produces syrups with varying sizes of packaging. The multi-stage production process does not rule out the possibility of irregularities that could cause the product to no longer meet the quality standards we set. In general, business units have a profit goal for business sustainability, by seeking efficiency in operations in order to obtain profitable profits. Analysis of the data shows the difference between corporate policy and the results of the EOQ method. The company usually orders 25 kg of raw materials with a frequency of 120 times per year. However, the EOQ method recommends ordering 144 kg with a frequency of 36 times per year. In addition, there is a significant difference in the total cost of supplies, which is IDR 30,900,000 according to company policy and IDR 10,392,000 according to EOQ method. This study aims to analyze strategies in raw material supply as an effort for supply chain efficiency. Using the Economic Orders Quantity (EOQ) method Reduce storage costs, save space on both storage and workspaces, resolve problems and reduce the risk that raw material supplies may pose.