Proceedings of the 4th International Conference of Economics, Business, and Entrepreneurship, ICEBE 2021, 7 October 2021, Lampung, Indonesia

Research Article

Forecasting Oil Sales Volume with Data Visualization in Sinar Servindo Sakti Company for 1 Year with Knowledge Discovery of Database (KDD) Method

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  • @INPROCEEDINGS{10.4108/eai.7-10-2021.2316143,
    author={Friska  Natalia and P.M.  Winarno and Merfin  Merfin},
    title={Forecasting Oil Sales Volume with Data Visualization in Sinar Servindo Sakti Company for 1 Year with Knowledge Discovery of Database (KDD) Method},
    proceedings={Proceedings of the 4th International Conference of Economics, Business, and Entrepreneurship, ICEBE 2021, 7 October 2021, Lampung, Indonesia},
    publisher={EAI},
    proceedings_a={ICEBE},
    year={2022},
    month={4},
    keywords={forecasting rapid miner k-medoids dbscan x-means},
    doi={10.4108/eai.7-10-2021.2316143}
}
  • Friska Natalia
    P.M. Winarno
    Merfin Merfin
    Year: 2022
    Forecasting Oil Sales Volume with Data Visualization in Sinar Servindo Sakti Company for 1 Year with Knowledge Discovery of Database (KDD) Method
    ICEBE
    EAI
    DOI: 10.4108/eai.7-10-2021.2316143
Friska Natalia1,*, P.M. Winarno1, Merfin Merfin1
  • 1: Universitas Multimedia Nusantara
*Contact email: friska.natalia@umn.ac.id

Abstract

This research is conducted as quantitative research discusses the concept of industry 4.0 by promoting the era of digital technology. This Research is centered on the development of Forecasting in Sinar Servindo company, an oil retail company that purchases orders from their partner companies. The main result is that the company's sales volume predicted to increase quite rapidly and provide excellent profits for the company in the next 1 year with Rapid Miner and Power BI.

Keywords
forecasting rapid miner k-medoids dbscan x-means
Published
2022-04-20
Publisher
EAI
http://dx.doi.org/10.4108/eai.7-10-2021.2316143
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