I-VEE (Intelligent Livestock Commodity Prices Forecasting System): An Integrated Application Based on Time Series Arima Forecasting Model for Predicting The Livestock Commodity Prices
Annisa Sekar Kumala, Hasemy Rafsanjani, Khoirul Anam · Khazanah Jurnal Mahasiswa · 2020
Presently, animal food commodity prices have fluctuated in recent years. These fluctuations generally occur on the eve of a holiday or other feast day. Fluctuations are caused by market dynamics that can change supply and demand, resulting in market prices (animal food commodities) becoming unstable. Meanwhile, the availability of animal food commodities should always be monitored to maintain price stability and economic stability in a macro-region. Therefore, a system that can monitor and predict the changes of animal food commodities prices in the domestic market is indispensable. This paper aims to convey a system that works in the form of an application called I-VEE (Intelligent Livestock Commodity Prices Forecasting System). I-VEE is a system that implements the Autoregressive Integrated Moving Average (ARIMA) model as its working principle. I-VEE serves to monitor the market and provide early warning through analysis of price movements. This analysis aims to provide early warning, predict prices in the short term and provide scientific decision references to local governments during fluctuations occurrence, in hopes of stabilizing prices in the region. This research was conducted to design and construct frameworks on I-VEE. The research uses qualitative writing methods, namely by surveying and studying literature through books, journals, and news. This research implements observation-applied research methods (practical problem solving). The expected research is a system that can be implemented in case studies in the field directly. Thus, if market price stabilization can be done then people (consumers) and producers can benefit.