Dashboard Using R Shiny For Arima and Prophet Comparison
DOI:
https://doi.org/10.59141/jist.v5i01.806Keywords:
Solusi Dokumen, Forecasting, ARIMA, ProphetAbstract
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.
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Christopher Caleb
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International. that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
