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Prediksi Harga Saham Menggunakan BiLSTM dengan Faktor Sentimen Publik
Stock market is one economic driver. It has roles in growth and development of a country.
Stock is an attractive investment due to the huge profit. Many people buy and sell their stock …
Stock is an attractive investment due to the huge profit. Many people buy and sell their stock …
A meta-analysis of the implementation of ANN back propagation methods in time series data forecasting: Case studies in Indonesia
S Syaharuddin, F Fatmawati… - AIP Conference …, 2022 - pubs.aip.org
This research aims to systematically analyze the results of the application of Artificial Neural
Network type Back Propagation (ANN-BP) methods in the prediction or forecasting of time …
Network type Back Propagation (ANN-BP) methods in the prediction or forecasting of time …
Implementasi Sliding Window Algotihm pada Prediksi Kurs berbasis Neural Network
Data time series ialah kumpulan data yang beruntun/teratur berdasarkan urutan waktu. Data
time series dapat digunakan pada topik prediksi, salah satu topik prediksi yang selalu …
time series dapat digunakan pada topik prediksi, salah satu topik prediksi yang selalu …
Optimizing Windowing Techniques to Improve the Accuracy of Artificial Neural Networks in Predicting Outpatient Visits
F Nurcakhyadi, A Hermawan - ILKOM Jurnal Ilmiah, 2024 - 103.133.36.110
Hospitals are healthcare institutions that play an important role in providing health services
to the community. To optimize the service, hospitals need to predict the number of outpatient …
to the community. To optimize the service, hospitals need to predict the number of outpatient …
SARIMA with Sliding Window Implementation for Forecasting Seasonal Demand Data
MR Pradipta, GMA Sasmita… - Jurnal Nasional …, 2024 - ejournal.undiksha.ac.id
Demand forecasting is an essential part of business process management. A comparison of
methods is needed to get the best model to provide good forecasting results. Difficulties in …
methods is needed to get the best model to provide good forecasting results. Difficulties in …
Long Short-Term Memory Optimization Using Hybrid Sparrow Search Algorithm and Particle Swarm Optimization in Prediction of Water Level at Sluice Gates
During the period from 2014 to 2020, approximately 24 out of 44 districts in Jakarta
experienced flooding disasters. Notably, at the beginning of January 2020, the Manggarai …
experienced flooding disasters. Notably, at the beginning of January 2020, the Manggarai …
Application of Neural Network to Predict Rupiah Exchange Rate Against Korean Won
This study investigates the application of neural networks for predicting the exchange rate of
the Indonesian Rupiah against the Korean Won, addressing the challenges posed by …
the Indonesian Rupiah against the Korean Won, addressing the challenges posed by …
Prediksi Hasil Produksi Minyak Kelapa Sawit dengan Metode Fuzzy Time Series (Studi Kasus: PT. Langkat Nusantara Kepong PKS Kebun Tanjung Keliling)
A Pratama, A Herdiyanti, I Sahputra - JUSTIN (Jurnal Sistem dan … - jurnal.untan.ac.id
Application of Triple Exponential Smoothing Method to Predict LQ45 Saham Stock Price
N Nurdin - Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer … - ejournal.uin-suska.ac.id
The capital market is one of the investment models that is currently growing so rapidly
because there are more and more digital-based investment platforms that can be accessed …
because there are more and more digital-based investment platforms that can be accessed …
ANALYSIS OF WORKPLACE CONDITIONS IN THE IMPLEMENTATION OF THE PROGRAM (K3) AT PT. GLOBAL DATA SOLUTION NEW PEKANBARU
Law No. 1 of 1970 Occupational safety and health, namely work requirements or norms in all
workplaces, must continuously be created and developed in accordance with community …
workplaces, must continuously be created and developed in accordance with community …