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Sholikah, Layla Hidayatus
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Mathematics

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Prediksi Jumlah Pengiriman Paket Menggunakan Metode Auto Regressive Integrated Moving Average Sholikah, Layla Hidayatus; Chandra, Novita Eka; Rohmaniah, Siti Alfiatur; Rohmah, Awawin Mustana
Jurnal Matematika Vol 14 No 1 (2024)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 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
Co-Authors Awawin Mustana Rohmah Novita Eka Chandra, Novita Eka Siti Alfiatur Rohmaniah