PREDIKSI PRODUKSI JAGUNG DALAM MODEL PENYEDIAAN TEPUNG JAGUNG PADA RANTAI PASOK JAGUNG

Abstract

<p>Corn flour as one of the products made from corn is an intermediate product. This product<br />can be consumed directly, also can be used as raw materials in the food industry, feed<br />industry and other industrial raw materials. In the supply chain system, corn flour industry is<br />a part of the maize supply chain . To maintain the continuity of the flow of raw materials in<br />the supply chain , the industry needs to provide corn flour that meets quantity with good<br />quality according to consumer demand . It is closely related to the supply of corn as a raw<br />material for corn flour. The provision of corn are also closely related to the availability of<br />the amount of corn production obtained from the farmers. This paper discussed about<br />prediction of maize production using artificial neural networks and a statistical forecasting .<br />The input variables of corn production forecast in causal models were land and rainfall,<br />while the output variable was the amount of corn production per month . The forecasting<br />results would be used as input for the corn flour industry.</p>