Journal of Data Insights
Vol 3 No 1 (2025): Journal of Data Insights

Forecasting Honda Car Retail Sales Using the Seasonal Autoregressive Integrated Moving Average Method: Peramalan Penjualan Retail Mobil Honda Menggunakan Metode Seasonal Autoregressive Integrated Moving Average

Angelina, Lea (Unknown)
Permata, Alia (Unknown)
Arsusma, Jesicha (Unknown)
Masichah, Firochul (Unknown)
Al Haris, M. (Unknown)
Fathoni Amri, Ihsan (Unknown)

Article Info

Publish Date
30 Jun 2025

Abstract

This article discusses the forecasting of Honda car retail sales using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. The study aims to forecast Honda car retail sales for the upcoming year. Various SARIMA models have been tested to determine the best model, and the results show that the SARIMA (1,1,0)(1,1,1)¹² model provides the lowest Mean Absolute Percentage Error (MAPE) among all tested models, which is 17,74%. Therefore, this model was chosen for forecasting sales over the next 12 months. The forecast results are expected to assist management in making optimal decisions regarding stock and marketing, as well as significantly enhancing operational efficiency and customer satisfaction in the future.

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Journal Info
Journal of Data Insights
Website

Abbrev

jodi

Publisher

Universitas Muhammadiyah Semarang

Subject

Computer Science & IT Mathematics

Description

The Journal of Data Insights is an open access publication for peer-reviewed scholarly journals. The Journal of Data Insights focuses on the processing, analysis and interpretation of data for data-driven decisions and solutions in industry, hospitals, government and universities. All articles ...