Layla Hidayatus Sholikah; Novita Eka Chandra; Siti Alfiatur Rohmaniah; Awawin Mustana Rohmah

doi:10.24843/JMAT.2024.v14.i01.p174

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

DOI: https://doi.org/10.24843/JMAT.2024.v14.i01.p174

Abstract

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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Published

2024-06-29

How to Cite

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. Available at: <https://ojs.unud.ac.id/index.php/jmat/article/view/116751>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.24843/JMAT.2024.v14.i01.p174.

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