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Method of Holt-Winters and Back Propagation FOR Prediction of Rice Production by Considering Rat Pest Attack
Author(s) -
Hamid Wijaya,
Vincencius Gunawan,
Jatmiko Endro
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018917328
Subject(s) - computer science , pest analysis , production (economics) , rice plant , agricultural engineering , agronomy , horticulture , biology , economics , macroeconomics , engineering
Pest attack especially rodent can impact of reducing the production rice’s crop and also triggering harvest failure. Therefore, forecasting system which is able to be used as monitoring tools for the production of rice is considered to be needed. This research is aim to provide solutions of prediction and area’s mapping information of production using the HoltWinters and Backpropagation methods. Utilized data are planting area, rainfall, rat attack area, intensity of rat attack, harvested area and production of rice for 4 years since 2014 to 2017 which each year has 3 periods. The application of HoltWinters and Backpropagation methods resulted in the smallest MSE value of 0.02 with an accuracy of 99.8%. Based on these accuracy values, Holt-Winters and Backpropagation method calculations give the appropriate result as it approaches the actual value. General Terms Prediction of rice production.

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