KLASIFIKASI PEKERJAAN SUMUR MINYAK DI PT PERTAMINA HULU ROKAN MENGGUNAKAN METODE RANDOM FOREST

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dc.contributor.authorNoviani, Puti Melani
dc.contributor.supervisorSalambue, Roni
dc.contributor.supervisorWilantara, Dedi
dc.date.accessioned2023-12-04T03:52:10Z
dc.date.available2023-12-04T03:52:10Z
dc.date.issued2023-08
dc.description.abstractThe oil well anomaly detection system has been running for 7 years, generating a large and complex dataset consisting of indications of oil well issues along with recommendations for oil well operations by petroleum engineers, commonly referred to as big data. However, the system has limitations as it can only display indications of well issues, requiring manual review by petroleum engineers to determine suitable well operation recommendations based on the data. Additionally, the number of petroleum engineers at PT Pertamina Hulu Rokan is limited, making it challenging to review all well issue indications, making it difficult to review all well indications. The objective of this research is to classify oil well operation data using the Random Forest method. The random forest model works by constructing multiple decision trees, combining them, and producing several classes, which are then aggregated to determine the final class. Performance of the model in classifying oil well operation data using the Random Forest method with 5 target data labels resulted in an accuracy of 0.66%. The model was processed by filling missing values with the median, not removing outliers, applying Oversampling techniques, normalizing the data using MinMax Scaler, and dividing the data using K-Fold Cross Validation with k=10.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11252
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectRandom Foresten_US
dc.subjectMachine Learningen_US
dc.subjectClassificationen_US
dc.subjectOil Wellen_US
dc.titleKLASIFIKASI PEKERJAAN SUMUR MINYAK DI PT PERTAMINA HULU ROKAN MENGGUNAKAN METODE RANDOM FORESTen_US
dc.typeArticleen_US

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