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All Journal Journal of Mathematics: Theory and Applications
Khalilah Nurfadila
Universitas Islam Negeri Alauddin Makassar
Mathematics

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Aplikasi Metode Arima Box-Jenkins Untuk Meramalkan Penggunaan Harian Data Seluler Khalilah Nurfadila; Ilham Aksan
Journal of Mathematics: Theory and Applications Volume 2, Nomor 1, 2020
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.701 KB) | DOI: 10.31605/jomta.v2i1.749

Abstract

The Box-Jenkins method is one of the time forecasting methods series. This method uses values in the past as the dependent variable and variable independently ignored. The Box-Jenkins method has the advantage of being usable on non-stationary data can be used on all data patterns so that this method can be used to predict the daily use of cellular data. The purpose of the study to find out the model and predict the amount of cellular data daily usage using data from March 10, 2020 to May 29, 2020. Results of the analysis shows the best model for daily use of cellular data is ARIMA (0,1,2). The best model meets the test requirements, namely the parameter significance test and diagnostic checking.
Co-Authors Ilham Aksan