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This study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges.

The study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI.

Different viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI.

The study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries.

Libraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects.

Library boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries.

The study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.

The growth of web emerging technology and data visual demand from the World Wide Web (WWW) makes the need for information repositories become vital. Proper database development will assure the repository managing web content effectively aligns with web archive metadata standards. This paper aims to present the database design process for web archive content repository specifically to maintain social and cultural heritage values upon Malaysians as Mfigures.

The empirical process start with literature review and validation from expert on the elements and scopes of research. Then, structured database design guideline which part of database life cycle (DBLC) was applied and combined with the step of comparative and mapping the conceptual model with metadata standard that is relevant with web archive content. The paper focuses on the first three stages: Database Initial Study, web archiving and Metadata standard mapping; and conceptual design to focus on data modelling. Another two stages of database design are logical design and physical design will be exposed later.

The empirical process has produced initial conceptual data model, database structure that can be a basis of web archiving repository. The data model had also been verified with metadata data standards to assure the database structure implementation cater the need of web archiving repository features especially web information discovery.

Nevertheless, database design is the most effective way to develop good information architecture on the Net, but the absence of some important fields on related tables have been identified such as subject, language, coverage, right, publisher and contributor. The MFigures’ database schema will continuously improve for better scope and coverage of web archive content suite with future information demands on the WWW.

The conceptual data model act as a communication tool by the technical team in web application development. It can be revisited to suite with other different database management system or to suite with other similar scope of information repository requirements.

Mfigures was uniquely designed for collecting Malaysian social and cultural heritage, which are rarely design before, and it can be beneficial as Malaysia society future references for excellent motivations roles and successful stories.

The Mfigure conceptual data model was empirically design and gone through a proper validation process by the industrial and academic experts.