Suryajaya, Bobby and Soetomo, Moh. A. Amin and Widiputra, Harya Damar (2014) Data Quality Mining Implementation for SKK Migas Sistem Operasi Terpadu (Sot) Data. Masters thesis, Swiss German University.

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Abstract

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 this research objective is to examine whether data mining techniques can improve SOT Data quality or not by utilizing CRISP-DM methodology. This research found that SOT Data contain some quality issues including missing values, negative values, useless attributes, and outliers that may affect analysis result. Finally, this research proves that Data Quality Mining processes and algorithms can improve SOT Data quality, which expected to contribute to SKK Migas data analysis improvement.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Data Quality Mining, DQM, SKK Migas, CRISP-DM, Missing Values, Outliers
Subjects:	Q Science > QA Mathematics > QA76 Computer software > > QA76.91 Data mining T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Faisal Ifzaldi
Date Deposited:	12 Aug 2021 03:12
Last Modified:	12 Aug 2021 03:12
URI:	http://repository.sgu.ac.id/id/eprint/2135

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