Forecasting Honda Car Retail Sales Using the Seasonal Autoregressive Integrated Moving Average Method
Year: 2025
Type: article
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.
Source: Journal Of Data Insights
Authors: Lea Angelina, Alia Permata, Jesicha Arsusma, Firochul Masichah, M. Al Haris, Ihsan Fathoni Amri
Institution: Universitas Muhammadiyah Semarang
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411780290