Estimasi Pemberantasan Hama di Kebun Bah Jambi Menggunakan Algoritma Backpropagation


  • Agung Bimantoro * Mail STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Sumarno Sumarno STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Heru Satria Tambunan STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • (*) Corresponding Author
Keywords: Estimation; Backpropagation Algorithm; Oil Palm; Pests

Abstract

Oil palm, which is the largest palm oil producer, plays an important role in the welfare of the people in Indonesia because it creates many jobs. Oil palm plants cannot be separated from pests. The number of pest attacks on oil palm plants can cause a decrease in fruit production and can even cause the plant to die. In this study, the authors estimated the number of pest attacks in the oil palm plantation Unit Bah Jambi, North Sumatra using the backpropagation algorithm. The data used in this study were obtained directly from the Plantation Unit Bah Jambi plantation. In this study the authors used 5 architectural patterns; 2-10-1, 2-12-1, 2-14-1, 2-16-1, 2-16-1. Of the five architectural patterns used, the best architecture is obtained with an accuracy rate of 75%, 187 epoch iterations in 4 seconds, namely the 2-10-1 architectural pattern

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Article History
Submitted: 2021-02-15 Published: 2021-02-27
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