Proceedings of the 1st International Conference on Engineering, Science, and Commerce, ICESC 2019, 18-19 October 2019, Labuan Bajo, Nusa Tenggara Timur, Indonesia

Research Article

The Implementation of Business Intelligence System in University with OLAP Method

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  • @INPROCEEDINGS{10.4108/eai.18-10-2019.2289970,
        author={Lita A. Ndoloe and Jemsrado Sine and Arsono Subiontoko},
        title={The Implementation of Business Intelligence System in University with OLAP Method},
        proceedings={Proceedings of the 1st International Conference on Engineering, Science, and Commerce, ICESC 2019, 18-19 October 2019, Labuan Bajo, Nusa Tenggara Timur, Indonesia},
        publisher={EAI},
        proceedings_a={ICESC},
        year={2019},
        month={12},
        keywords={business intelligence data warehouse olap kpi data mining},
        doi={10.4108/eai.18-10-2019.2289970}
    }
    
  • Lita A. Ndoloe
    Jemsrado Sine
    Arsono Subiontoko
    Year: 2019
    The Implementation of Business Intelligence System in University with OLAP Method
    ICESC
    EAI
    DOI: 10.4108/eai.18-10-2019.2289970
Lita A. Ndoloe1,*, Jemsrado Sine1, Arsono Subiontoko1
  • 1: Politeknik Negeri Kupang
*Contact email: litandolu83@gmail.com

Abstract

Business intelligence system of Universities started with stages of integrating data, analyzing data, making reports and creating web portals then integrating the reports by using the web portal. Data analysis would be processed by using Online Analytical Processing (OLAP), Key Performance Indicators (KPI) and data mining to extract the information from data stored in the data warehouse. The results of the data analysis process will be represented in the form of statistical reports and dashboards, and then it can be used to support academic decision-making. This study aimed to design a business intelligence system web based university with OLAP methods that can be used in academic decision making at Kupang State Polytechnic. This research produces a university website business intelligence system that can be accessed through an online browser