Implementasi Metode Backpropagation Neural Network Dalam Memprediksi Hasil Produksi Kedelai

BS Laili, DT Utomo, D Wijanarko - Jurnal Teknologi Informasi dan …, 2023 - jtit.polije.ac.id
Kebutuhan kedelai di Indonesia cenderung meningkat setiap tahunnya, namun produksi
kedelai cenderung menurun sehingga belum memenuhi kebutuhan kedelai. Salah satu …

Extreme Learning Machine and Multilayer Perceptron Methods for Predicting COVID-19

D Yustisio, E Siswanah… - Sinkron: jurnal dan …, 2024 - jurnal.polgan.ac.id
The number of positive COVID-19 cases in Semarang City has increased over the last year.
In anticipating and preparing proper health facilities, the government must predict the …

[PDF][PDF] The Importance of Gold and Forecasting of the Gold Price Using ARIMA, ARIMA-GARCH, and ARIMA-TGARCH Model

T Bunnag - researchgate.net
This paper studies the importance of gold affecting investment and predicts the price of gold
using the ARIMA, the ARIMA-GARCH, and the ARIMA-TGARCH models. It forecasts the …

Demand Forecasting in FMCG Company Using Machine Learning and Statistical Analysis for Inventory Control Optimization

OM Ginting, E Budiarto, B Mahawan - 2021 - repository.sgu.ac.id
Challenges exacerbated by companies today are increasingly heavy, in particular, FMCG or
Fast Moving Consumer Goods because of market shifting and consumer behavior always …

[PDF][PDF] Prediction of Results of a so Soccer Match at the World Cup Using Backpropagation Artificial Neural Network

F Rajib, EC Djamal, F Kasyidi, AT Bon - ieomsociety.org
Prediction of the results of a soccer match is carried out using several variables such as
historical data. Even though the score in a soccer match cannot be predicted, however …