Integrasi AI dalam Optimalisasi Tata Pamer Museum : Strategi Edukatif Berbasis Sejarah dan Arkeologi

Abstract

As a cultural institution, museums play a dual role, not only as a recreational space, but also as an educational vehicle that supports the process of learning history contextually. In this case, the use of artificial intelligence (AI) in museums opens up new opportunities in the development of educational strategies based on history and archeology. This study aims to explore the potential use of AI in analyzing the flow of visits (walk flow) and museum exhibition layout for educational value. By using a qualitative-descriptive approach and case studies in several interactive museums, it was found that AI is able to record and map visitor movement patterns, identify high interaction points, and evaluate the effectiveness of collection arrangement. The data can then be used to develop a more focused, attractive, and curriculum-appropriate exhibition scheme. AI also enables personalization of learning experiences through recommendations for materials and digital guides based on the interests and age levels of visitors. Thus, museums are not only passive exhibition spaces, but also active learning environments that are in line with the learning needs of students.