Klasifikasi Jenis Samphyan Banten Upakara Adat Bali Dengan Arsitektur VGG-16 Dan InceptionResnet-V2
DOI:
https://doi.org/10.31598/sintechjournal.v8i3.2009Keywords:
Classification, Inception Resnet V2, Samphyan Banten, Upakara Adat Bali, VGG-16Abstract
One of the important elements in Balinese traditional ceremonies is Samphyan, a decoration made from janur (young coconut leaves) that has artistic and symbolic value. In addition to being a decoration, Samphyan has a deep spiritual meaning, reflecting prayers, hopes, and respect for the gods and ancestors in Balinese Hindu tradition. With the diversity of forms and functions of Samphyan, a systematic classification is needed to understand its role in the context of traditional ceremonies. The purpose of this study is to build a dataset of samphyan banten images based on the Matetuasan Technique Book and to include a comparison of the classification performance of two Convolutional Neural Network architectures, namely VGG16 and Inception ResNet V2. The research stages consist of data acquisition, preprocessing, classification, and evaluation. The samphyan image data consists of 14 classes. The testing scenario uses a comparison of several hyperparameters, namely batch size (16, 32, and 64), learning rate (0.001, 0.0001, and 0.00001), and epoch (20, 50, and 100). The evaluation results show that the model with the best results, namely the Inception ResNet V2 architecture with a combination of hyperparameters, namely the Adam optimizer, batch size 16, learning rate 0.0001, and epoch 100, produced an accuracy value of 99.94% in training, 100% in validation, and 95.71% in testing. This research produced a deep learning model for classifying Banten samphyan based on the Matetuasan Technique Book, which can enhance understanding and preservation of cultural heritage
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