APPLICATION OF ARIMA MODEL FOR FORECASTING NATIONAL ECONOMIC GROWTH: A FOCUS ON GROSS DOMESTIC PRODUCT DATA
This study aims to apply the Autoregressive Integrated Moving Average (ARIMA) model to predict national economic growth, specifically focusing on Gross Domestic Product (GDP) data. GDP data were collected from 2012 to 2023, categorized into training data for the period 2012-2022 and testing data for...
Saved in:
| Main Authors: | Elisabeth Brielin Sinu, Maria A Kleden, Astri Atti |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2024-05-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12208 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting Population of Madiun Regency Using ARIMA Method
by: Yuniar Farida, et al.
Published: (2022-10-01) -
Forecasting and management of gross domestic product
by: Viktor Oliinyk, et al.
Published: (2019-12-01) -
Unfolding the potential of the ARIMA model in forecasting maize production in Tanzania
by: Joseph Lwaho, et al.
Published: (2023-11-01) -
A hybrid approach to time series forecasting: Integrating ARIMA and prophet for improved accuracy
by: Sherly A, et al.
Published: (2025-09-01) -
COMPARATIVE ANALYSIS OF TIME SERIES FORECASTING MODELS USING ARIMA AND NEURAL NETWORK AUTOREGRESSION METHODS
by: Melina Melina, et al.
Published: (2024-10-01)