Data Quality Mining Implementation on Sistem Operasi Terpadu (SOT) Data

SKK Migas implemented SOT (Sistem Operasi Terpadu) to allow SKK Migas system to retrieve specific information from PSC Contractor data source within integrated online system. It is expected that at the completion of SOT program, there will be huge transactional data that will be exchanged on daily basis, and without Data Mining, it will be extremely difficult to perform analysis. Meanwhile, this research will focus on poor data quality that may be resulted from poor data acquisition process, and how to improve SOT Data quality utilizing CRISP-DM methodology. This research found that the data contain some quality issues including missing values, negative values, useless attributes, and outliers that may affect analysis result and conclusion. At the end, this research proves that Data Quality Mining processes and algorithms can improve data quality, which expected to contribute to SKK Migas data analysis improvement.