Jurnal Agritech
Vol 21, No 4 (2001)

Klasifikasi Tingkat Kematangan dan Kemasakan Buah Durian dengan Model Neural Network

Rejo, Amin (Unknown)
Purwadaria, Hadi K. (Unknown)
Budiastra, I Wayan (Unknown)
Suroso, Suroso (Unknown)
Susanto, Slamet (Unknown)
Nazaruddin, Yul Y (Unknown)



Article Info

Publish Date
11 Oct 2016

Abstract

This study was aimed to develop the model to predict the maturity and ripeness of durian based on its physical and chemical characteristics using neural network. The physicochemical and acoustic characteristics measurement was fed into the model as the inputs, which provided the levels of maturity and ripeness as the output of the model. The results suggested that the physico-chemical properties and the acoustic charcteristic decreased with the increase of both maturity and ripeness level of durian. The total solid soluble, the water content and the total sugar increased according to the fruits maturity. The total acids increased in the beginning of durian maturing process and then decreased when the maturity and ripeness level reached the mature-over ripened stage. Data training were done by model of neural network: model 4 output, with various node in the hidden layer 4, 6, 8 and 10 nodes. The results recommended that the best model to be applied was model 4 output with 4 nodes in the hidden layer and iteration 1000 and 5000 with the model accuration 87.5 % - 100%.

Copyrights © 2001






Journal Info

Abbrev

agritech

Publisher

Subject

Agriculture, Biological Sciences & Forestry Computer Science & IT

Description

Agritech with registered number ISSN 0216-0455 (print) and ISSN 2527-3825 (online) is a scientific journal that publishes the results of research in the field of food and agricultural product technology, agricultural and bio-system engineering, and agroindustrial technology. This journal is ...