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Christopher Caleb
Universitas Tarumanagara Jakarta, Indonesia
Computer Science & IT Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Dashboard Using R Shiny For Arima and Prophet Comparison Christopher Caleb
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 01 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i01.806

Abstract

As technology progresses, more and more business processes are digitized. This research was made to find out how the document industry is affected and make an educated guess on revenue forecasts based on previous data. Data will be taken daily for five years, from January 2017 to December 2022. Revenue data will be forecasted with two methods: ARIMA and Prophet. Data will be plotted on a graph in a user-authenticated dashboard made with R Shiny. The results of each forecast will be error-tested with MAE and RMSE. The results show that Prophet consistently produces a smaller number in both tests, which shows that Prophet is the more accurate method out of the two.
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