Aplikasi Jaringan Syaraf Tiruan untuk Pendugaan Mutu Mangga Segar Secara Non-Destruktif
| Main Author: | Sandra, Sandra |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Fakultas Teknologi Pertanian Universitas Brawijaya
, 2012
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| Online Access: |
https://jtp.ub.ac.id/index.php/jtp/article/view/189 https://jtp.ub.ac.id/index.php/jtp/article/view/189/565 |
Daftar Isi:
- The objective of this study was to estimate grade of mango with artificial neural network. There are three grade of mango: grade I, grade II and grade III. Each grade consists of 40 samples. The Artificial Neural Network consists of three model; first model: 3 input, second model: 5 input and third model: 7 input. Each of models consists of three outputs with 1000, 2500, and 5000 iteration, and 3, 5, and 7 hidden layers. The result of this study show that the accuracy of artificial neural network in grade of mango: (1) the first model 60% - 100%; (2) the second model 90% and (3) the third model 90 %. The conclusion of this study is the artificial neural network can predict the grade of mango and the best model is the third model. Keywords: Mango, grade, artificial neural network