DEVELOPMENT OF SUPERVISED MACHINE LEARNING MODEL TO CLASSIFY PIPELINES USING QUANTITATIVE RISK ASSESSMENT IN IMPROVING PEATRICE SOFTWARE
Pipelines are mainly used in the oil and gas industry to transmit fluids due to their cost-effectiveness, reliability, and safety. However, failures can occur during installation and ongoing operations, making risk assessment important to be done. Risk assessment involves evaluating the probability...
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Format: | Final Project |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/85081 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |