Systematic Literature Review: Deep Learning and Machine Learning Analysis for Batik Peranakan Tionghoa Datasets
This research focuses on searching for Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for Systematic Literature Reviews (SLR). After that, the use of Deep Learning (DL) and Machine Learning (ML) will be analyzed. This study also presents a dataset that makes it possible to utilize ML and DL. SLR results obtained 21 research papers focusing on ML and DL analysis (classification and pattern recognition). However, both algorithms also have their respective advantages and disadvantages. For this reason, this research presents the advantages and disadvantages of both ML and DL analysis for Chinese Peranakan Batik.
Authors
- Mochammad Haldi Widianto (ORCID: https://orcid.org/0000-0001-8722-9868)
- Rachmi Kumala Widyasari (ORCID: https://orcid.org/0000-0002-3212-5479)
- Mulyani Karmagatri
- Aris Darisman
- Hazmilah Hasan
Institutions
- Binus University (ID)
- Technical University of Malaysia Malacca (MY)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/icoris63540.2024.10903900
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Binus University