Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)

Implementation of Business Intelligence for Coal Production and Reserves Division

Authors
Anggi Tri Rizki RAMADHANI, Ken Ditha TANIA
Corresponding Author
Ken Ditha TANIA
Available Online 6 May 2020.
DOI
10.2991/aisr.k.200424.048How to use a DOI?
Keywords
Business Intelligence, Business Intelligence Roadmap, coal company, OLAP, the implementation of intelligence business
Abstract

In this era of globalization business competitions among the company increased. Companies need knowledge of information technology to support companies to be able to predict the future and help the whole system to improve services. Business Intelligence as a system that can help management by providing predictions, patterns, and assisting in decision making. In designing and implementing Business Intelligence for coal production and reserves division using Business Intelligence Roadmap method. Business Intelligence Roadmap is one of the methods of Business Intelligence that can be used because it is adaptive and detail which consists of 6 phases and 18 stages. By implementing Business Intelligence within the coal company environment is expected to support the strategic decisions related to the plans and predictions of coal production that need to be taken, so the management of coal production operations can run well, and it can produce business information in a short time. Data and information generated also become more accessible and easier to understand with focused on making reports in the form of visualizations such as diagrams and charts.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
Series
Advances in Intelligent Systems Research
Publication Date
6 May 2020
ISBN
978-94-6252-963-2
ISSN
1951-6851
DOI
10.2991/aisr.k.200424.048How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Anggi Tri Rizki RAMADHANI
AU  - Ken Ditha TANIA
PY  - 2020
DA  - 2020/05/06
TI  - Implementation of Business Intelligence for Coal Production and Reserves Division
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 320
EP  - 324
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.048
DO  - 10.2991/aisr.k.200424.048
ID  - RAMADHANI2020
ER  -