Jurnal Teknologi Pertanian
Vol 6, No 1 (2005)

Aplikasi Jaringan Syaraf Tiruan untuk Pendugaan Mutu Mangga Segar Secara Non-Destruktif

Sandra, Sandra (Unknown)

Article Info

Publish Date
20 Jan 2012

Abstract

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

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Journal Info
Jurnal Teknologi Pertanian
Website

Abbrev

JTP

Publisher

Universitas Brawijaya

Subject

Agriculture, Biological Sciences & Forestry Computer Science & IT

Description

Jurnal Teknologi Pertanian diterbitkan oleh Fakultas Teknologi Pertanian Universitas Brawijaya untuk penyebarluasan hasil penelitian yang dilakukan oleh para peneliti dari dalam dan luar Fakultas Teknologi Pertanian Universitas Brawijaya. Jurnal Teknologi Pertanian terbit tiga kali dalam setahun, ...