Identification of Flowers as Balinese Hindu Ritual Offerings Using Convolutional Neural Network (CNN)

DOI

10.2991/978-94-6463-413-6_14How to use a DOI?

Keywords

Identification; flowers; CNN

Abstract

Flowers play a crucial role as elements in Hindu ceremonies in Bali. In the Balinese Hindu tradition, flowers serve as ritual instruments that carry spiritual significance and profound symbolism. Many of the younger generation in Bali today struggle to identify various types of flowers used in Balinese Hindu ceremonies. The utilization of machine learning technology can provide a solution to overcome the limited knowledge faced by the younger generation in Bali when identifying flower types for Balinese Hindu ceremonies. Convolutional Neural Network (CNN) is one highly effective machine learning method for image classification. One efficient CNN model for identification is the ResNet152 architecture. In this study, image data consists of flowers used in Balinese Hindu ceremonies, encompassing five types of flowers. The test results demonstrate an accuracy rate of 98%, with precision at 94%, and recall at 93%. The detection outcomes of flowers used in Balinese Hindu ceremonies through the Convolutional Neural Network (CNN) method yield a satisfactory accuracy value.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ida Bagus Kade Dwi Suta Negara
AU  - I Ketut Gede Darma Putra
AU  - Made Sudarma
AU  - I Made Sukarsa
PY  - 2024
DA  - 2024/05/13
TI  - Identification of Flowers as Balinese Hindu Ritual Offerings Using Convolutional Neural Network (CNN)
BT  - Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023)
PB  - Atlantis Press
SP  - 141
EP  - 148
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-413-6_14
DO  - 10.2991/978-94-6463-413-6_14
ID  - Negara2024
ER  -