Preserving Cultural Heritage Through AI: Developing LeNet Architecture for Wayang Image Classification

Wayang, an ancient cultural tradition in Java, has been an integral part of Indonesian culture for 1500 years. Rooted in Hindu cultural influences, wayang has evolved into a highly esteemed and beloved performance art. In the form of wayang kulit, this tradition conveys profound philosophical messages and implicit meanings that resonate with Javanese society. This research aims to develop an artificial intelligence (AI) model using deep learning with the LeNet architecture to accurately classify wayang images. The model was tested with 2515 Punakawan wayang images, showing excellent performance with an accuracy of 80% to 85%. Although the model successfully recognizes and distinguishes wayang classes, it faces some challenges in classifying specific classes, particularly in scenarios 2 and 4. Nevertheless, this research has a positive impact on cultural preservation, as the developed AI model can be used for automatic wayang image recognition. These implications open opportunities to better understand and preserve this rich cultural heritage through AI technology. With further improvements, this model has the potential to become a valuable tool in the efforts to preserve and introduce wayang culture to future generations.

@article{Muhathir2023,
  title     = {Preserving Cultural Heritage Through AI: Developing LeNet Architecture for Wayang Image Classification},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {9},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Muhathir and Nurul Khairina and Rehia Karenina Isabella Barus and Mutammimul Ula and Ilham Sahputra},
  doi       = {10.14569/IJACSA.2023.0140919},
  url       = {https://doi.org/10.14569/IJACSA.2023.0140919}
}