ISSN: 2222-6990
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Natural wetlands with potential for ecotourism and economic development can be found in Terengganu, Malaysia, at the Setiu Wetland. The current planning for tourism development is still not well integrated since neither the government nor the business community uses BIM/GIS technology as a means of full collaboration. Tourism master planning could undergo a revolution with the combination of Artificial Intelligence (AI) with Geographic Information Systems (GIS) and Building Information Modeling (BIM). This is especially applicable in environmentally sensitive places like Terengganu's Setiu Wetland. This integration can offer a thorough and adaptable strategy to meet the expectations of future tourism growth while guaranteeing sustainable resource management. The study aims to identify gaps in the physical planning development progression for sustainability strategic planning guidelines. The following seven crucial techniques were found: well-articulated goals and plans, funding support, competencies and skills, cooperative work, risk and change management, organizational and performance measures, government policy, and incentives to promote BIM/GIS deployment. The results suggest that the tourism sector setting is intrinsically linked to the implementation of systematic integration guidelines for BIM/GIS and that technical, institutional, and managerial factors are necessary to adapt changes to improve current BIM/GIS implementation and can be also integrated into the AI Tourism medium and explores the benefits offers. Few studies have been conducted on the use of integrated BIM and GIS in rapid development planning for urban wetlands as an integrated coordination and management tool. Therefore, the study can support the 4.0 Digital Transformation and national guideline master planning in line with "Rancangan Malaysia Ke-12" (RMKe-12) and current AI technologies have the potential to improve stakeholder collaboration, decision-making, energy efficiency, resource management, flexibility, and accessibility. The study is ongoing, and the conclusions are supported by recent data.
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