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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
Ananda, Muhammad Ikhsan
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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The Multivariate Forecasting of Chicken and Beef Prices Involving Weather, Economic, and Health Factors Using the Gated Recurrent Unit Method Ananda, Muhammad Ikhsan
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 10 No. 1 (2023)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.10.1.111-120

Abstract

Food security, especially in the livestock sector in the form of broiler chicken and beef cattle, is a strategic issue for Indonesia to always be able to balance supply and demand for these food commodities. Food price forecasting is needed to mitigate rising food prices for these commodities. Previous research on food price forecasting was only univariate forecasting and comparison of error results between forecasting algorithms. This study aims to perform multivariate forecasting of broiler and beef cattle prices in DKI Jakarta by involving weather, economic, and health factors using the Gated Recurrent Unit (GRU) algorithm where the accuracy test is based on the MAPE value. The GRU algorithm for multivariate forecasting of broiler and beef cattle prices yielded an average MAPE for training and testing of 0.471% and 1.150% indicating that all models in the very good accuracy category for multivariate forecasting of broiler and beef cattle were represented. In addition, the model also produces deviations between MAPE values in the training data and test data which are not too different so that the model developed with each price of broiler chicken and beef cattle is categorized in the best fitting category.
Model Analysis of Gated Recurrent Unit for Multivariate Rice Price Forecasting Ananda, Muhammad Ikhsan
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 7 No. 2 (2023)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v7i2.770

Abstract

Food security, especially in the agricultural sector in the form of food price stability of rice as a national food ingredient is a strategic issue for Indonesia. Rice price forecasting is needed to mitigate rising rice food prices. Rice price fluctuations can be caused by internal factors such as bad weather or external factors such as the low selling price of rice, resulting in losses for farmers. This study aims to carry out multivariate rice price forecasting in DKI Jakarta by involving rice prices, weather, economic, and health factors using the Gated Recurrent Unit (GRU) algorithm where the accuracy test is based on the MAPE value between forecasting results and actual data. As a result of the GRU algorithm for multivariate rice price forecasting, the MAPE for training and testing is 0.964% and 2.628%, indicating that all models in the measurement category are very well represented.
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