Sistem Informasi Buffer Stock Bahan Baku Kain Menggunakan Metode Forecasting
DOI:
https://doi.org/10.61769/telematika.v19i1.647Keywords:
procuring, forecasting, buffer stock, MAPE, information system, greige fabricAbstract
The procurement process of raw fabric materials (greige) in textile manufacturing companies is critical because it affects order fulfillment and customer satisfaction. In addition, the raw material procurement process also aims to fulfill buffer stock to anticipate the rejection process in quality control. Errors in production planning can result in the accumulation of goods and increased operational costs. In this study, an information system for raw material requirements for fabric was developed using forecasting methods in the textile manufacturing industry. The forecasting model in the proposed system was developed by analyzing the company’s transaction data. From the calculation of the error rate, it is found that the methods selected for use in the buffer stock of forecasting information systems are single moving average, weighted moving average, double moving average, and single exponential smoothing. With MAPE calculation results of 22.1% to 62.9%, a validity test with Durbin Watson is also carried out to find the best model for forecasting in the next period. In addition, the proposed system is also able to record and process data to assist companies in procuring green fabrics. The system testing results obtained an accuracy value of 82%. It shows that the proposed system is good enough to provide forecasting results according to the company’s needs regarding procuring buffer stock of raw materials for greige fabric.
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