Red Chili Price Forecasting in Indonesia Based on Data from the Strategic Food Price Information Center Using the Neural Network

Dani, Andrea; Putra, Fachrian Bimantoro; A’yun, Qonita  Qurrota

doi:10.2139/ssrn.4497728

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The backpropagation method can produce better performance in repeated training (Dani et al, 2023). This means that the weight of the NN interconnection can be close to the weight it should be.…”

Section: A Introductionmentioning

confidence: 99%

Forecasting Maximum Water Level Data for Post Sangkuliman using An Artificial Neural Network Backpropagation Algorithm

Mislan,

Dani

2024

JTAM

View full text Add to dashboard Cite

Neural Network (NN) is an information processing system that has characteristics similar to biological neural networks. One of the algorithms in NN is Backpropagation Neural Network (BPNN). BPNN is an excellent method for dealing with complex pattern recognition problems. In this research, maximum water level forecasting was carried out at Sangkuliman Post using a Backpropagation Neural Network. This research aims to obtain modeling for forecasting maximum water level, as well as forecasting results using the best model. The research results show that the best model is five neurons in hidden layer 1 and 3 neurons in hidden layer 2 with the backpropagation algorithm, the activation function used is binary sigmoid, the learning rate is 0.001, and the maximum iteration is 10,000,000 with the smallest RMSE result being 1.816. The forecast results for the following 12 periods are 1.672, 1.779, 1.523, 1.271, 1.752, 1.692, 1.335, 1.479, 1.750, 1.779, 1.340, 1.269, and 1.754. Forecasting results can be used by various parties in decision-making and planning in multiple fields, as an example to see the patterns of biological and vegetable life around Sangkuliman Post. Based of forecasting results, certain months show an increase in maximum water levels.

show abstract

Section: A Introductionmentioning

confidence: 99%