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BIM's Contribution as A Sustainable Construction Accelerator Nindyo Cahyo Kresnanto; Raihan Iqbal Ramadhan; Muhamad Willdan; Panca Buana Pamungkas Putra
Applied Research on Civil Engineering and Environment (ARCEE) Vol. 4 No. 01 (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/arcee.v4i01.5333

Abstract

Building Information Modeling (BIM) is a technological tool used in the sustainable construction process, beginning with the planning phase and continuing through the construction and post-construction phases. BIM has excellent capabilities and is being adopted by construction service providers in the process of implementing sustainable construction. However, many barriers remain in the adoption process, particularly with regard to the intention to use it. The purpose of this study was to determine the intention to implement BIM based on the variables of benefits and barriers. In order to parse the phenomena that occur in research, this study employed a quantitative method. Survey data in the form of a questionnaire were collected from the Special Region of Yogyakarta using a purposive sampling method for this study. Questionnaires were distributed via Google Form to respondents from the construction sector (Civil & Architectural Engineering) and BIM application users (students, workers). The findings of this study have provided an overview of the challenges and benefits of implementing BIM in sustainable construction. The barriers presented are financial, technological, and policy barriers, depending on the company's classification, while the benefits presented are environmental benefits and innovation.
Perception Investigation Based on the Commuting Cost Model Nindyo Cahyo Kresnanto; Wika Harisa Putri; Rini Raharti; Muhamad Willdan; Raihan Iqbal Ramadhan
Applied Research on Civil Engineering and Environment (ARCEE) Vol. 4 No. 02 (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/arcee.v4i02.5546

Abstract

Travel expenses are a significant factor in transportation planning. In addition to the other aspect, travel time, the community considers expense as the necessary element in deciding which mode the communities should take. However, there is a gap between the actual transport expense and the commuter's perception. Thus, comprehensive knowledge is urgently needed particularly to be seen as a major variable in transportation planning that sided with underprivileged groups of transport poverty. The study focused on describing the correlation between income and commuting transportation expenses. The analysis was carried out using two methods. The first method is a descriptive analysis used to provide insight into the patterns and characteristics of the data obtained from interviews with 421 respondents. The second method is regression analysis (linear and nonlinear) to explain the relation pattern between the dependent (commuting transportation expenses) and independent (income) variables. The study's findings demonstrate that transportation expenses follow a negative polynomial regression pattern on income, further implying that the percentage of transportation expenses in low-income communities is significantly higher than those in high-income communities.