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

Dorina Hetharia, M. Syamsul Maarif, Yandra Arkeman, Titi Candra S.

Abstract


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


Full Text:

PDF

Article Metrics

Abstract views : 239| PDF views : 0


DOI: http://dx.doi.org/10.25105/jti.v6i3.1547

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 TEKNIK INDUSTRI



Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.