Predictions of Duck Egg Production in 34 Indonesian Provinces Using Backpropagation Algorithm

There are still many duck egg growers who are perplexed and have no idea how many eggs their ducks produce in a year. They can't always predict a figure near to the number of duck eggs produced. Our purpose in doing this research is to assist duck farmers in each region of Indonesia in estimating the duck eggs generated by their ducks and also anticipating them if there are few duck eggs. Then they must take further procedures to ensure that big volumes of duck eggs are produced. Furthermore, it can have a favorable influence on our study as well as future research, resulting in improved outcomes with a high accuracy value. We employ the backpropagation algorithm with the cyclical order weight / bias approach as our study material to forecast the production rate of duck eggs. We acquired an accuracy rate of 91% with an MSE value of 0.00027084 and a margin of error value of 9% for the findings in each province in Indonesia utilizing the 10-20-1 architectural model.