神经网络方法在星卡旺市大蒜价格预测中的应用

Fadlul Hamdi, Hendro Budiantoro, Rafika Sani, Rezki Rusydi, Sarjon Defit
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引用次数: 0

摘要

大蒜是星卡旺市经济中的重要商品。本研究旨在应用神经网络方法预测该市的大蒜价格。本研究使用了星卡旺市中央统计局提供的 2016-2023 年大蒜价格数据。在经过数据分析和处理过程后,利用历史数据训练神经网络模型来预测未来的大蒜价格。预测结果显示,大蒜价格在未来两年趋于稳定,2024 年第 1 个月的固定值为 30.701,2024 年第 2 个月为 30.303,依此类推,直到 2025 年。这项研究为市场参与者预测星卡旺市大蒜行业的市场行为和决策提供了重要启示。
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Penerapan Metode Neural Network untuk Prediksi Harga Bawang Putih di Kota Singkawang
Garlic is an important commodity in the economy of Singkawang City. This research aims to apply the Neural Network method in forecasting the price of garlic in the city. Garlic price data from the Central Bureau of Statistics of Singkawang City for the period 2016-2023 is used in this study. After going through the data analysis and processing process, the Neural Network model was trained using historical data to predict future garlic prices. The prediction results show that the price of garlic tends to stabilise over the next two years, with a fixed value of 30.701 for month 1 of 2024, 30.303 for month 2 of 2024, and so on until 2025. This research provides important insights for market players in anticipating market behaviour and decision-making in the garlic sector in Singkawang City.
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