Analisis Komparatif ARIMA dan Prophet dengan Studi Kasus Dataset Pendaftaran Mahasiswa Baru
Chandra Cato
Primary Author
mixed material
bibliography
Bandung
Maranatha University Press
2020
Indonesia
hlm : 278-287
JUTISI : Jurnal Teknik Informatika dan Sistem Informasi
Abstract
This research presents all studies, methodologies, and results about testing the accuracy of predictions on new student marketing data by region using the Prophet and Autoregressive Integrated Moving Average (ARIMA) methods. The dataset selected for this study uses 26 years of actual data that has an annual interval. The data was prepared for time series forecasting analysis, therefore, several numbers of data preprocessing were applied such as log transformation and resampling. To get efficient variables, the best variables will be sought to improve the accuracy of predictions. Both models will conduct training and test data to produce values that can be compared using the metric regression model. Based on the training conducted, Prophet has better performance than ARIMA.
Informatika
Sistem Informasi
JUTISI
24432210
Perpustakaan Teknik UPI YAI
JUTISI V6N2 Agustus 2020
JUTISI2-012
Perpustakaan FT UPI YAI
JUTISI V6N2 Agustus 2020
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2023-02-22 14:21:03
2023-02-22 14:21:03
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