Implementation of Convolutional Neural Network (CNN) Approach for Classification of Lampung Textile (Tapis)

DOI

10.2991/978-94-6463-730-4_7How to use a DOI?

Keywords

Machine Learning; Tapis Lampung; Classification; Convolution Neural Network (CNN); Lampung

Abstract

Lampung is one of the provinces in Indonesia which is renowned for its rich cultural heritage. Among its internationally famous legacies is the Tapis Lampung. It is a woven fabric crafted using traditional weaving techniques and embellished with gold or silver threads. Within the Lampung community, Tapis serves as traditional attire, a symbol of social status, and a marker of cultural identity. There are at least ten types of Tapis Lampung, including Raja Tunggal, Raja Medal, Laut Linau, Laut Silung, Jung Sarat, Balak, Cucuk Andak, Pucuk Rebung, Pucuk Pinggir, and Tuho motifs. Each type typically features distinct patterns and colors, making the identification and classification of Tapis cloth very difficult tasks and usually only done by experts. Recently, as the use of Artificial Intelligence has gained popularity, there have been many reports on the success of AIs for image classification. Among them, Convolution Neural Network (CNN) has been reported as an approach that achieves a high accuracy. This research aims to evaluate the performance of CNN for the identification and classification of Tapis Lampung. The approach will distinguish different types of Tapis cloth by their motifs. Several numerical experiments have been done by using some images given and collectors of Tapis Lampung. The results by the approaches are evaluated by comparing to those given by experts.

Copyright

© 2025 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.

Download article (PDF)

TY  - CONF
AU  - Putra Pribowo
AU  - Admi Syarif
AU  - Favorisen R. Lumbanraja
PY  - 2025
DA  - 2025/05/27
TI  - Implementation of Convolutional Neural Network (CNN) Approach for Classification of Lampung Textile (Tapis)
BT  - Proceedings of the 5th International Conference on Applied Sciences, Mathematics, and Informatics (ICASMI 2024)
PB  - Atlantis Press
SP  - 69
EP  - 80
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-730-4_7
DO  - 10.2991/978-94-6463-730-4_7
ID  - Pribowo2025
ER  -