Fuzzy Logic an Artificial Neural Network for Quality Improvement of Black Tea

Rohmatulloh ., Marimin .


his paper discussed quality improvement of black tea using fuzzy approach on quality functions deployment and the development of backpropagation neural the software NWP II plus. The research was conducted at PTPN VIII tea industry, Goalpara plantation. Result of the study showed that, parameter first priority based on customer evaluation was tea flavour. The Important process parameter of black tea based on result of fuzzy relationship matrix was the withering process. Based on the test of “trial and error†of network training process, the best network architecture for withering process monitoring [3-15-1] was obtained, that is 3 neurons in input layer, 15 neurons in hidden layer and 1 neuron in output layer. Three inputs and output consist of time, flow, temperature and moisture content. The result sugges that development of backpropagation neural network can be used for process evaluation of withering processes.

Key words : black tea, fuzzy matrix, and backpropagation neural network.


black tea; fuzzy matrix; backpropagation neural network

Full Text:


Copyright (c)

pISSN :   1979-7788

eISSN :   2087-751X

Visitor Statistic



Visitor Statistic

Visitor Statistic

Creative Commons License
This journal is published under the terms of the is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License