Shinta, Puspasari and Ermatita, Ermatita and Zulkardi, Zulkardi (2017) Constructing Smart Digital Media for Museum Education Post Pandemic Recovery: A Review and Recommendation. In: 2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), Fakultas Ilmu Komputer UPN Veteran Jakarta.
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Abstract
The research conducted a literature review to find the trend of smart digital museum construction for education media that have been developed by utilizing information and communication technology and intelligent systems. A series of procedures and methods applied in the literature review process extracting information from dataset contained articles and journals in the 2015-2021 period. A physical or traditional museum must be transformed into a smart digital museum that can carry out an educational role even during the COVID-19 pandemic. The pandemic has made limitations to museum visits that impacted fewer activities and community visits for education in the museum. Museum performance for education is not optimal during a pandemic, especially in Palembang. The results of this study indicate a trend of digital smart transformation from physical or traditional museums. Applications based on mobile devices and websites are mostly developed 72.72% of applications for education in museums. Modern museums have begun to transform into digital museums implementing intelligent machine learning based systems in the last three years and with learning application content in the form of games, augmented reality or virtual reality, and information retrieval systems. The results of the study are expected to provide information for museum education post-pandemic recovery strategic planning in Indonesia
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Smart museum education, software engineering, machine learning, recommendation, COVID-19 |
Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
Divisions: | 09-Faculty of Computer Science > 55101-Informatics (S2) |
Depositing User: | Dr Ermatita zuhairi |
Date Deposited: | 15 Mar 2022 07:06 |
Last Modified: | 15 Mar 2022 07:06 |
URI: | http://repository.unsri.ac.id/id/eprint/66073 |
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