PENERAPAN BUSINESS INTELLIGENCE UNTUK BAGIAN PRODUKSI DAN CADANGAN BATUBARA PADA PT. BUKIT ASAM, TBK

RAMADHANI, ANGGI TRI RIZKI and Tania, Ken Ditha (2019) PENERAPAN BUSINESS INTELLIGENCE UNTUK BAGIAN PRODUKSI DAN CADANGAN BATUBARA PADA PT. BUKIT ASAM, TBK. Undergraduate thesis, Sriwijaya University.

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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 data visualizations such as diagrams and charts.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Business Intelligence, Business Intelligence Roadmap, OLAP, Penerapan Business Intelligence, Perusahaan Batubara
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.6 General works Industrial engineering Information technology. Information systems (General) Management information systems -- Continued
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Users 3867 not found.
Date Deposited:	09 Jan 2020 04:38
Last Modified:	09 Jan 2020 04:38
URI:	http://repository.unsri.ac.id/id/eprint/23537

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