Aesthetic Affordances of Buto's Shape and Texture Characters in Wayang Kulit Through Digital Sculpting

Ardiyan, Ardiyan; Syamsuddin, Dermawan

doi:10.1109/icsecc.2019.8907061

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…To spark the interest of the younger generation in Wayang, a range of possible solutions have been created, including establishing a Wayang puppeteer studio [5], craftsman center [6], [7], and performing Wayang on stage in various locations. Another worthwhile effort is producing Wayang in a more modern form such as wayang hip hop [8], comics [9], games [10], [11], and animations [12]- [14].…”

Section: Introductionmentioning

confidence: 99%

Convolutional Neural Network (CNN) to determine the character of wayang kulit

Wibawa

Pratama

Handayani

et al. 2021

Int. J. Vis. Perform. Arts

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Indonesia is a country with diverse cultures. One of which is Wayang Kulit, which has been recognized by UNESCO. Wayang kulit has a variety of names and personalities, however most younger generations are not familiar with the characters of these shadow puppets. With today's rapid technological advancements, people could use this technology to detect objects using cameras. Convolutional Neural Network (CNN) is one method that can be used. CNN is a learning process that is included in the Deep Learning section and is used to find the best representation. The CNN is commonly used for object detection, would be used to classify good and bad characters. The data used consists of 100 black and white puppet images that were downloaded one at a time. The data was obtained through a training process that uses the CNN method and Google Colab to help speed up the training process. After that, a new model is created to test the puppet images. The result obtained a 92 percent accuracy rate, means that CNN can differentiate the Wayang Kulit character

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