Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics

Research on E&P Efficiency Metrics to support SKMIGAS Mission utilizing CRISP-DM Methodology

Authors
Bobby Suryajaya, Frieda Putri Aryani, Uma Bala Devarakonda, Alva Erwin
Corresponding Author
Bobby Suryajaya
Available Online January 2014.
Keywords
SKK Migas, Indicator, Efficiency, CRISP-DM, Clustering, Classification, Association Rule
Abstract
SKK Migas has mission to supervise and control activities of upstream Oil & Gas. It is believed that by knowing efficiency level of each PSC Contractor, improvement programs can be more effective and directly hit the objective. This paper discusses research proposal on efficiency metrics using data mining techniques and its implementation feasibility as National Indicator.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics
Series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-94-6252-000-4
ISSN
1951-6851
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Bobby Suryajaya
AU  - Frieda Putri Aryani
AU  - Uma Bala Devarakonda
AU  - Alva Erwin
PY  - 2014/01
DA  - 2014/01
TI  - Research on E&P Efficiency Metrics to support SKMIGAS Mission utilizing CRISP-DM Methodology
BT  - Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics
PB  - Atlantis Press
SP  - 13
EP  - 18
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/11351
ID  - Suryajaya2014/01
ER  -