Abstract
The duration of construction project implies a complex interaction with various aspects that affect or influence the duration itself. Developing a descriptive model to determine those dominant influence variables should give an alternative option on duration prediction models and provide convenience to understand the practical purpose. This practical purpose needs a measureable indicator factor that commonly provides such like official country statistical data. Since there are lot of country statistical data, identifying measureable indicators become important as dominant influence indicators on construction project duration. The current research describes step by step identifying dominant influence external factors in building construction project in Jakarta, Indonesia. The process started with literature selection to identify factors influence the performance of construction industry. The output of literature study was followed by exploratory phase to analyzing the output of questionnaire based on the literature study. Exploratory phase reduce and grouping factors by identifying dominant factors so it accommodates the practical purpose. The next phase was confirmatory by analyzing dominant factors in an integrated relation system. At this phase, the floor area and number of story are included in the system using Partial Least Square - Structural Equation Modelling (PLS-SEM). The results show that the rates of exchange currency value, interest, inflation, GDP, absorb of new technology, labor availability, materials price are the dominant indicators out of 12 origin indicators.
Original language | English |
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Publication status | Published - 2017 |
Event | The 15th International Conference on Quality in Research (QiR 2017) - ID, Bali, Indonesia Duration: 1 Jan 2018 → … |
Conference
Conference | The 15th International Conference on Quality in Research (QiR 2017) |
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Country/Territory | Indonesia |
City | Bali |
Period | 1/01/18 → … |
Keywords
- Measureable Indicators, Factors Analysis, PLS-SEM, Influence Variable, Project Duration.