Abstract

Batik Cloth is Indonesia heritage of the indigenous cultures. However, the lack of public awareness could made the other nations has claimed that Batik cloth as their heritage. Therefore, We will need serious attention to take the problems. The classification Banten pattern batik cloth had been made to protect the Batik pattern. The classification had been made with Artificial Neural Network with Lavender-Marquant methods. Gray-Level Co-Occurrence Matrix (GLCM) has been used to preprocessing the pattern from Gray scale images. The results showed that the Batik patterns had 97% accuracy and 2% error.

Highlights

  • One of the Indonesian heritage was Batik

  • The banten batik taken was 300 images consisting of 200 training images and 100 test images. which consists of 10 classes patterns

  • The method of artificial neural network used in this study is backpropagation, in general, this algorithm is referred to as back propagation because it can be described as follows, when the network is given an input pattern as a training pattern the pattern goes to units in the hidden layer to be forwarded to the unit and the output layer unit, the output layer units give a response called network output, if the network output is not the same as the expected output, the output will spread backward, in the hidden layer forwarded to the unit at the input layer, the training mechanism is called backpropagation or back propagation

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Summary

Introduction

One of the Indonesian heritage was Batik. It has been recognized as an intangible cultural heritage [1]. Neural network classification could recognized more than 10 class and fast learning convergence for classification Another advantages were it could adaptive data driven self method that is able to regulate itself against the data that will be processed without requiring an explicit specification function or the form had been distributed, the apportion function of the general public which had accuracy in the classification process, a nonlinear model so that this model became flexible in modeling complex relationships, estimated the subsequent possibilities that provide the basis for classification rules and statistical analysis. These were batik Banten pattern showed in Figure 1: Fig. 1.

Research Method
Preprocessing Image
Feature Extraction
Energy
Homogeneity
Backpropagation Neural Networks
Training
Testing
Result and Discussion
Findings
Conclusion

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