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