Sarie, Dian Pramita (2017) Predicting Pile Construction Productivity Loss Using Macro Impact Factors In Indonesia. Magister thesis, Universitas Brawijaya.
Abstract
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English Abstract
Pile construction productivity loss in Indonesia had been occurred for years. Before improving pile construction productivity, impact factors and how much potential loss are urgent to identified. The research objectives are to identify the macro factors that influence pile construction, to develop a SVR model that precisely predicts productivity loss, and to provide potential loss quantities using the most similar historical case(s). Literature review identifies 5 macro factors (labor, management, environment, material, and equipment) and 8 inputs (soil condition, pile type, pile material, project size, project location, pile depth, pile quantity, and equipment quantity) for Support Vector Regression (SVR) model, and then leads the study to collect 110 pile construction projects among 5 major areas in Java island of Indonesia. The SVR evaluated using 10-way cross validation yields an accuracy rate at 87.2%. The most likely productivity loss obtained based on the most similar historical cases is approximately 18.55% of total productivity. The findings would push the practitioners to pay attention to the loss in order to improve the overall productivity.
| Item Type: | Thesis (Magister) |
|---|---|
| Identification Number: | TES/624.15/SAR/p/2017/041710803 |
| Uncontrolled Keywords: | PILING (civilenginering), FOUNDATIONS |
| Subjects: | 600 Technology (Applied sciences) > 624 Civil engineering > 624.1 Structural engineering and underground construction > 624.15 Foundation engineering and engineering geology |
| Divisions: | S2/S3 > Magister Teknik Sipil, Fakultas Teknik |
| Depositing User: | Nur Cholis |
| Date Deposited: | 11 May 2018 07:30 |
| Last Modified: | 26 Nov 2021 06:05 |
| URI: | http://repository.ub.ac.id/id/eprint/10402 |
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