Factors Affecting BIM (Building Information Modeling) Utilization Based on Stakeholder Perceptions in Indonesia

Anjar Primasetra, Dewi Larasati, S. Wonorahardjo
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Abstract

Implementing Building Information Modeling (BIM) in Indonesian construction can potentially optimize material resources, labor, and energy efficiency. However, several challenges hinder its effectiveness, including proficiency, standards, policies, infrastructure, and BIM access. This research aims to identify and address factors impeding BIM implementation, providing recommendations for stakeholders to impact the construction industry positively. Conducted through a quantitative approach, the study gathers data online via questionnaires distributed among BIM stakeholders, encompassing practitioners, academics, and government representatives. The data is meticulously analyzed using ANOVA, factor analysis, and factor rotation techniques. The research identifies five key factors contributing to BIM issues in Indonesia based on eigenvalues exceeding 1.0. These factors encompass limited BIM access, challenges in proficiency and mastery, incomplete data on components and materials, inaccessible BIM infrastructure, and restricted collaboration across domains. The users' expectations center around BIM dissemination and standardization, easy data accessibility, establishing a robust Indonesian BIM community, affordability and accessibility of BIM infrastructure, and user-friendly BIM platforms. The anticipated outcomes of this research offer practical implications for the construction industry. These include recommendations for enhanced BIM training, proposing government funding to facilitate companies in acquiring necessary BIM software and hardware, and promoting BIM knowledge through seminars. The overarching goal is to address the identified challenges, fostering efficient BIM utilization in the Indonesian construction industry.
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基于印度尼西亚利益相关者的看法,影响 BIM(建筑信息模型)应用的因素
在印尼建筑业实施建筑信息模型(BIM)有可能优化材料资源、劳动力和能源效率。然而,一些挑战阻碍了其有效性,包括熟练程度、标准、政策、基础设施和 BIM 访问。本研究旨在找出并解决阻碍 BIM 实施的因素,为利益相关者提供建议,从而对建筑行业产生积极影响。本研究采用定量方法,通过向 BIM 利益相关者(包括从业人员、学者和政府代表)发放调查问卷的方式在线收集数据。采用方差分析、因子分析和因子旋转技术对数据进行了细致分析。根据超过 1.0 的特征值,研究确定了导致印度尼西亚 BIM 问题的五个关键因素。这些因素包括 BIM 访问受限、熟练和掌握方面的挑战、组件和材料数据不完整、无法访问 BIM 基础设施以及跨领域合作受限。用户的期望集中在 BIM 的传播和标准化、数据的易获取性、建立一个强大的印尼 BIM 社区、BIM 基础设施的可负担性和可获取性,以及用户友好型 BIM 平台。本研究的预期成果对建筑行业具有实际意义。其中包括加强 BIM 培训的建议、建议政府提供资金以帮助公司获得必要的 BIM 软件和硬件,以及通过研讨会推广 BIM 知识。总体目标是应对已确定的挑战,促进印尼建筑业有效利用 BIM。
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来源期刊
International Journal on Advanced Science, Engineering and Information Technology
International Journal on Advanced Science, Engineering and Information Technology Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
1.40
自引率
0.00%
发文量
272
期刊介绍: International Journal on Advanced Science, Engineering and Information Technology (IJASEIT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, engineering and information technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the IJASEIT follows the open access policy that allows the published articles freely available online without any subscription. The journal scopes include (but not limited to) the followings: -Science: Bioscience & Biotechnology. Chemistry & Food Technology, Environmental, Health Science, Mathematics & Statistics, Applied Physics -Engineering: Architecture, Chemical & Process, Civil & structural, Electrical, Electronic & Systems, Geological & Mining Engineering, Mechanical & Materials -Information Science & Technology: Artificial Intelligence, Computer Science, E-Learning & Multimedia, Information System, Internet & Mobile Computing
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