Abstract
Culture and natural history are facet of life that reflect the characteristics of a country. Preservation and utilization of cultural wealth and natural history are very strategic for the sustainability of a nation. Until now, various problems and challenges have arisen, such as: the widespread distribution of information, the absence of a centralized database to accommodate the existing information, the difficulty of knowing the diversity of cultural and natural history in each region, culture and natural history has not been used as elements to build the nation's character, and the current cultural and natural history information has not been used for tourism development. The cultural wealth of the Indonesian people may be eroded and slowly become extinct, or other nations will claim that this is their cultural wealth. Although conservation efforts have been carried out by various museums, national and regional libraries, and groups of activists to preserve cultural wealth, there are still many limitations to integrating and linking them to one another. Therefore, this preservation requires a digital 4.0 technology framework to be able to integrate and at the same time take advantage of this cultural and natural wealth for the welfare of the Indonesian nation. The digital technology 4.0 framework for preserving the Indonesian nation's cultural and natural wealth will be developed using a Big Data approach from various data sources (data from various museums, documentation, publications, etc.) structured, semi-structured, and unstructured. Feature selection and feature extraction from Big Data will be carried out using Principle Components Analysis, Cluster Analysis. The feature extraction result is then used as the forerunner of the framework's components. The components of this framework form the basis for designing an integrated system for the preservation of cultural and natural history, and form the basis for developing and implementing a portfolio of applications using artificial intelligence, which is also the outcome of this research.
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