Prediksi Jumlah Pengiriman Paket Menggunakan Metode Auto Regressive Integrated Moving Average

  • Layla Hidayatus Sholikah Universitas Islam Darul 'ulum
  • Novita Eka Chandra Universitas Islam Darul 'Ulum Lamongan
  • Siti Alfiatur Rohmaniah Universitas Islam Darul 'ulum
  • Awawin Mustana Rohmah Universitas Islam Darul 'ulum
##plugins.pubIds.doi.readerDisplayName## https://doi.org/10.24843/JMAT.2024.v14.i01.p174

Abstrak

This research aims to predict the number of postal office package deliveries using the ARIMA method. The data used is delivery data at the Lamongan Post Office from January 2018 to December 2022. The results of this research are the best model for predicting delivery data, namely ARIMA (2,2,0) with an RMSE value of 2333.897 and a MAPE value of 8,83%. Prediction results for the full year in 2023 have increased every month.


 


Keywords: prediction, delivery, ARIMA

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Diterbitkan
2024-06-29
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SHOLIKAH, Layla Hidayatus et al. Prediksi Jumlah Pengiriman Paket Menggunakan Metode Auto Regressive Integrated Moving Average. Jurnal Matematika, [S.l.], v. 14, n. 1, p. 96-107, june 2024. ISSN 2655-0016. Tersedia pada: <https://ojs.unud.ac.id./index.php/jmat/article/view/116751>. Tanggal Akses: 21 apr. 2025 doi: https://doi.org/10.24843/JMAT.2024.v14.i01.p174.
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Terbitan
Vol 14 No 1 (2024)
Bagian
Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.