INTEGRATION OF MACHINE LEARNING AND AUGMENTED REALITY FOR MALAY CULTURAL HERITAGE
Keywords:
Machine Learning, Augmented Reality, Cultural Heritage, Malay Culture, Cultural Heritage DigitizatioAbstract
Cultural heritage digitization has become an essential strategy for preserving local heritage through the adoption of emerging digital technologies. This study aims to investigate the integration of Machine Learning and Augmented Reality (AR) for preserving and promoting Malay cultural heritage. A descriptive research approach was employed through literature review, field observations, image acquisition, and cultural object documentation. The research data consisted of digital images and descriptive information of Malay cultural heritage objects collected from five cultural sites: Maimun Palace, North Sumatra State Museum, Deli Serdang Museum, Tebing Tinggi Museum, and Batubara Museum. The collected cultural objects were curated and classified according to their visual characteristics and historical significance to establish a structured dataset suitable for Machine Learning-based object recognition and AR integration. The results demonstrate that the proposed data collection and classification process successfully produced a well-organized cultural heritage dataset capable of supporting automatic object recognition and interactive visualization in an AR environment. The integration of Machine Learning and Augmented Reality provides an effective foundation for developing intelligent digital cultural applications that enhance public engagement while supporting the preservation, promotion, and accessibility of Malay cultural heritage.
Keywords : Machine Learning; Augmented Reality; Cultural Heritage; Malay Culture; Cultural Heritage Digitizatio
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