Szczegóły publikacji
Opis bibliograficzny
Decoding and preserving Indonesia's iconic Keris via a CNN-based classification / Aji Prasetya Wibawa, Anik Nur Handayani, Mochammad Rafli Muharom Rukantala, Muhammad Ferdyan, Lalu Agung Purnama Budi, Agung Bella Putra Utama, Felix Andika DWIYANTO // Telematics and Informatics Reports [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2772-5030. — 2024 — vol. 13 art. no. 100120, s. 1–14. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 13–14, Abstr. — Publikacja dostępna online od: 2024-01-16
Autorzy (7)
- Wibawa Aji Prasetya
- Handayani Anik Nur
- Rukantala Mochammad Rafli Muharom
- Ferdyan Muhammad
- Budi Lalu Agung Purnama
- Utama Agung Bella Putra
- AGHDwiyanto Felix Andika
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 152023 |
|---|---|
| Data dodania do BaDAP | 2024-04-05 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.teler.2024.100120 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Telematics and Informatics Reports |
Abstract
The present study explores the domain of Keris classification by employing advanced Convolutional Neural Networks (CNNs) as a potent technique for identifying subtle patterns and cultural characteristics inherent in these renowned Indonesian daggers. The study has presented encouraging findings about the identification of Pamor, Dhapur, and Tangguh categories. However, it is crucial to recognise and confront the inherent constraints associated with this research. The key constraints of the study pertain to the diversity of data, accuracy of labeling, generalizability of the model, and ethical considerations. The acquisition of a comprehensive dataset that effectively encompasses the whole range of Keris patterns offers a significant obstacle. Furthermore, it is crucial to pay careful attention to the accuracy of labeling, since it can be influenced by the subjective character of Keris classification. The important worry lies in guaranteeing the model's capacity to generalise to Keris images that have not been previously encountered, as well as its ability to comprehend and explain its decision-making process. The careful establishment of ethical frameworks is necessary to address ethical problems related to cultural sensitivity and the potential misuse of AI outputs in the realm of cultural heritage. Nevertheless, these constraints offer significant perspectives on potential areas for future investigation and enhancement. Future endeavours may prioritise the augmentation and broadening of the dataset, fostering collaboration with specialists in cultural domains, improving the interpretability of the model, and effectively addressing ethical considerations. The present study not only exhibits potential for expanding artificial intelligence in the domain of cultural preservation, but also contributes to a more profound understanding and recognition of the complex artistry and historical significance encapsulated within the Keris. © 2024 The Author(s)
