1Department of Agro-Industrial Technology, Faculty of Agro-Industrial Technology
2Department of Agriculture and Biosystem Engineering, Faculty of Agro-Industrial Technology
3Alumnae of Faculty of Agro-Industrial Technology
Universitas Padjadjaran, Kampus Unpad Jatinangor, Indonesia.
A potato is one of the vegetables which are perishable commodity that could not be stored for a long time without the support of adequate facilities. In the supply management of potatoes, more frequent orders mean make the cost of inventory greater. In contrast, rarely order makes lower ordering cost, but require the product shelf life longer. Economic Order Quantity (EOQ) is the method of calculating the number of orders that resulted in the optimal total cost. Inventory planning through EOQ method requires a trade-off between quantity and frequency of ordering and shelf life of potatoes. This study aims to determine the number and frequency of ordering based on the shelf life of potatoes in order to obtain the lowest total cost of inventory. This study begins with an attempt to reassure the shelf life of potatoes after harvest. Experimental method used to determine the shelf life of potatoes, where the parameters measured were weight loss, hardness, moisture content, and appearance of the skin. Observations were made every three days with three different lighting treatment that is storage the material: (1) exposed to direct sunlight, (2) are not directly exposed to sunlight, and (2) in a dark room. The number of the shelf life of potatoes are used as the deadline of the shelf life of potatoes in stock, the maximum number of orders and reorder point. Furthermore we performed the analysis using the framework of the implementation of the basic model of EOQ. The results showed that based on the data last three years the company should be able to make savings of Rp. 986,928.00 if the planned supply through the use EOQ model with the order value in every month an average of 1.72 times of the actual order, so order frequency becomes less that of an average of 12 times to 5 times a month. In order to plan next year through the decomposition method and using the data of four years earlier, then the value of forecast supply requirement of 402 071 kg a year. This value is then decomposed into each month with an average of 33,506 Kg. Using the value of inventory cost components are the same then the average value obtained EOQ is 6,087 Kg and order frequency is 5 times a month
Keywords: Agro-based commodity inventory, EOQ on agrobased perishable product, order quantity, frequency of order