Journal of Mathematics: Theory and Applications
Volume 2, Nomor 1, 2020

Aplikasi Metode Arima Box-Jenkins Untuk Meramalkan Penggunaan Harian Data Seluler

Khalilah Nurfadila (Universitas Islam Negeri Alauddin Makassar)
Ilham Aksan (Universitas Islam Negeri Alauddin Makassar)



Article Info

Publish Date
26 Aug 2020

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.

Copyrights © 2020






Journal Info

Abbrev

Mathematics

Publisher

Subject

Mathematics

Description

JOMTA Journal of Mathematics Theory and applications is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in the research. JOMTA Journal of Mathematics Theory and applications disseminates new research results in ...