{"title":"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","authors":"Anjar Primasetra, Dewi Larasati, S. Wonorahardjo","doi":"10.18517/ijaseit.14.1.18895","DOIUrl":null,"url":null,"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.","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors Affecting BIM (Building Information Modeling) Utilization Based on Stakeholder Perceptions in Indonesia\",\"authors\":\"Anjar Primasetra, Dewi Larasati, S. Wonorahardjo\",\"doi\":\"10.18517/ijaseit.14.1.18895\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":14471,\"journal\":{\"name\":\"International Journal on Advanced Science, Engineering and Information Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal on Advanced Science, Engineering and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18517/ijaseit.14.1.18895\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Advanced Science, Engineering and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18517/ijaseit.14.1.18895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Factors Affecting BIM (Building Information Modeling) Utilization Based on Stakeholder Perceptions in Indonesia
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.
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