SISTEM PENGUJIAN KLASIFIKASI BATIK KALIMANTAN PRODUCTION BERBASIS NEURAL NETWORK MENGGUNAKAN PYTHON

Batik is one of the wealth of arts and cultural heritage of the past, which has made the State of Indonesia has a unique characteristic in foreign countries. The development of batik which has traveled centuries ago, has given birth to various types and patterns of batik that are unique to each region. The popularity of Indonesian batik in the world. For this reason, as Indonesian citizens, we must be proud and participate in maintaining this cultural heritage so that it does not become extinct with the changing times. With this paper, it is hoped that it will increase the knowledge of friends about Indonesia's cultural heritage, especially batik and also to fulfill the task of cultural arts.
The result of this final project is to create a website application for the Kalimantan Neural Network-Based Classification Testing System Using Python. This website application is named Kalimantan Batik Predictions. The use of this application is to help the public get information related to batik in Kalimantan, so that people can detect the grouping of types of batik and where the batik comes from, with the aim of reducing the lack of public knowledge about what batik is in Kalimantan