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All Journal Journal of Telematics and Informatics
Fitri Anindyahadi
Electrical Engineering Department, Universitas Islam Sultan Agung, Semarang
Computer Science & IT Electrical & Electronics Engineering

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A Prediction Method Of Rice Harvesting Using Artificial Neural Network Fitri Anindyahadi; Imam Much Ibnu Subroto; Arief Marwanto
Journal of Telematics and Informatics Vol 8, No 1 (2020)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v8i1.

Abstract

Crops rice is a thing he could never expected for sure, but could have predicted data in of existing. The availability of data about the outcome of rice harvesting is very substantial for use as yardstick in estimate and predicts crops rice as a gesture to fix the next planting. Artificial neural network method backpropagation often used to settle trouble complex relating to identification, predictions, pattern recognition and so on. In this study, backpropagation processing the data affecting rice crops from 2014 until 2016 to predict crop Pengkok, Kedawung, Sragen the future. After through process of training and testing and experiment some pattern architecture network, in the network get architecture best in a prediction.
Co-Authors Arief Marwanto Imam Much Ibnu Subroto