Utilizing Machine Learning for Pattern Recognition of Wayang Kamasan in Efforts to Digitize Traditional Balinese Art

Aug 3, 2026

The extinction of local cultural identities raises questions about conservative strategies that stakeholders can adopt amid accelerating globalization. While technological innovation advances, local cultural knowledge becomes increasingly marginalized. This research examines Wayang Kamasan culture and applies a machine-learning approach to reintroduce it for a global community. Using qualitative and experimental quantitative methods, the study evaluates model effectiveness and reports CNN prediction accuracy of 100% with new images, supporting digital documentation and preservation of Balinese cultural heritage.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages12

Reading Time30 min

AccessFree to download

Introduction

Local culture and globalization

Technology-based wayang classification

Abstract

Problem background

Research approach and methods

Findings and impact

Utilizing Machine Learning for Pattern Recognition of Wayang Kamasan in Efforts to Digitize Traditional Balinese Art Kadek Ayu Ariningsih*1, Lasiyo2, Iva Ariani3, Putu Sugiartawan4 1,2,3Faculty of Philosophy, Universitas Gadjah Mada, Yogyakarta, Indonesia; 4Faculty of Technology and Informatics, Institut Bisnis dan Teknologi Indonesia, Bali, Indonesia e-mail: *[1](1kadekayuariningsih1989@mail.ugm.ac.id)[kadekayuariningsih1989@mail.ugm.ac.id](1kadekayuariningsih1989@mail.ugm.ac.id), [2](2lasiyo@ugm.ac.id)[lasiyo@ugm.ac.id](2lasiyo@ugm.ac.id), [3](3iva.ariani@ugm.ac.id)[iva.ariani@ugm.ac.id](3iva.ariani@ugm.ac.id), [4](4sugiartawan@instiki.ac.id)[sugiartawan@instiki.ac.id](4sugiartawan@instiki.ac.id) Abstrak Kepunahan identitas budaya lokal memunculkan pertanyaan mendalam mengenaipendekatan konservatif yang dapat diadopsi oleh berbagai pemangku kepentingan. Proses globalisasi yang sedang berlangsung terus mendorong inovasi teknologi, sementara pengetahuan budaya lokal semakin terpinggirkan. Sebaliknya, sikap afirmatif terhadap pelestarian budayalokal berkorelasi positif dengan pengetahuan budaya lokal. Penelitian ini berfokuspada budaya Wayang Kamasan dan menggunakan pendekatan berbasis pembelajaran mesin untuk memperkenalkan kembali Wayang Kamasan dalam konteks komunitas global. Penelitian ini menggunakan kombinasi metode kualitatif dan kuantitatif eksperimental. Yang pertama digunakan untuk mendapatkan pemahaman mendalam tentang aspek sosial budaya Wayang Kamasan, sedangkan yang terakhir digunakan untuk menilai efektivitas metode pembelajaranmesin.Hasilprediksi dengan menggunakan model CNN, dengan menggunakan gambar wayang yang baru menghasilkan tingkat akurasi sebesar 100%. Pendekatanpembelajaran mesin untuk mengklasifikasikan Wayang Kamasan merupakan metode yang efektif untuk melestarikan budaya Bali. Dengan mengklasifikasikan identitas visual Wayang Kamasan secara akurat, makadimungkinkan untuk mendokumentasikannya secara digital, sehingga memfasilitasi pelestarian budaya lokal Bali. Pengenalan pola melalui klasifikasi memungkinkan pelestarian warisan budaya ini dalam bentuk digital sekaligus mendukung pengenalan wayang Bali. Kata kunci— Wayang Kamasan, Machine Learning, pelestarian budaya Abstract The extinction of local cultural identities gives rise to profound inquiries concerning the conservative approach that may be adopted by a range of stakeholders. The ongoing process of globalization continues to drive technological innovation, while local cultural knowledge is increasingly marginalized. Conversely, an affirmative attitude towards the preservation of local culture is positively correlated with knowledge of local culture. This study focuses on Wayang Kamasan culture and employs a machine learning-based approach to reintroduce Wayang Kamasan in the context of a global community. The research employs a combination of qualitative and experimental quantitative methods. The former is used to gain an in-depth understanding of the socio-cultural aspects of Wayang Kamasan, while the latter are employed to assess the effectiveness of machine learning methods. The prediction results of CNN testing with new wayang images, can predict with confidence level 100%. The application of machine learning methods for the classification of wayang, especially Wayang Kamasan, has significant effectiveness in efforts to preserve Balinese culture. The findings demonstrate that the machine learning approach to classifying Wayang Kamasan is an effective methodfor preserving Balinese culture. By accurately classifying the visual identity of Wayang Kamasan, it is possible to digitally document it, thereby facilitating the preservation of Balinese local culture. Pattern recognition through classification enables the preservation of this cultural heritage in digital form while also supporting the recognition of Balinese wayang. Keywords—Wayang Kamasan, Machine Learning, preserving culture 1. INTRODUCTION The extinction

FAQs

What problem does the study address regarding Wayang Kamasan?

It addresses the risk of disappearing local cultural identities and the marginalization of local cultural knowledge as globalization advances.

How does the research reintroduce Wayang Kamasan to a wider audience?

It uses a machine learning-based approach to recognize and classify Wayang Kamasan patterns, enabling digital documentation for cultural preservation.

Which machine learning model is reported to achieve the highest accuracy, and what result is obtained?

A CNN model is used, and predictions with new wayang images achieve a 100% confidence/accuracy level.

Aug 3, 2026

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