Investigating Building Information Modelling (BIM) Adoption in Indonesia Construction Industry

Author:

Hatmoko Jati Utomo Dwi,Fundra Yulian,Wibowo Mochamad Agung,Zhabrinna

Abstract

The development of information technology continues to evolve to respond the increasing demand and challenges in the construction industry. Building Information Modelling (BIM) emerges in recent years as the fresh solution to make the project lifecycle more efficient by encouraging collaborative working of all stakeholders involved in the construction project, i.e. owners, consultants, and contractors. This study aims to investigate BIM adoption and implementation in Indonesia construction industry and explore challenges and opportunities related to the implementation of BIM. A combination of qualitative and quantitative research method has been adopted for this exploratory research. Data was collected through interviews and questionnaires survey with snowball sampling from twenty entities, consisting of 12 contractors, 4 consultants, and 4 owners. The results show that 60% of respondents have already acknowledged and implemented BIM. The examples of BIM software used by the respondents include Revit, Tekla, and SmartPlan®. Benefits of BIM implementation as perceived by most respondents, e.g. design collision detection, clear project simulation, reduced reworks, and efficient use of resources. The adoption of BIM, however, still faces challenges, such as the absence of requirement and demand, and high investment cost. This research provides an initial understanding of current BIM adoption in Indonesia, which can be used as the basis to develop a national strategic framework for BIM adoption in Indonesia construction industry.

Publisher

EDP Sciences

Subject

General Medicine

Reference30 articles.

1. Hein M., Sketo B. Azhar S., Building information modelling (BIM): benefits, risks and challenges,(2008).

2. Eadie R., Browne M., Odeyinka H., McKeown C., and McNiff S., BIM implementation throughout the UK construction project lifecycle, Automation in Construction, 145–151, (2013).

3. Lee S. K., Kim K. R., and Yu J. H., BIM and ontology-based approach for building cost estimation, Automation in Construction, 96–105, (2014).

4. Zhabrinna , The Evaluation of the Readiness of Indonesia in Adopting BIM and the Strategic Improvement by Benchmarking the Best Practice of BIM Implementation in the UK, Birmingham, MSc Dissertation (2017).

5. Martins J. P. and Monteiro A., LicA: A BIM based automated code-checking application for water, Automation in Construction, 12–23, (2013).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3