Prediksi Harga Saham Menggunakan BiLSTM dengan Faktor Sentimen Publik

N Afrianto, DH Fudholi, S Rani - Jurnal RESTI (Rekayasa Sistem …, 2022 - jurnal.iaii.or.id
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 …

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 …

Implementasi Sliding Window Algotihm pada Prediksi Kurs berbasis Neural Network

P Arsi, T Astuti, D Rahmawati… - DoubleClick: Journal of …, 2022 - e-journal.unipma.ac.id
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 …

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 …

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 …

Long Short-Term Memory Optimization Using Hybrid Sparrow Search Algorithm and Particle Swarm Optimization in Prediction of Water Level at Sluice Gates

I Farisi, M Hardjianto - ASTONJADRO, 2024 - ejournal.uika-bogor.ac.id
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 …

Application of Neural Network to Predict Rupiah Exchange Rate Against Korean Won

A Saeful, G Dwilestari, AR Rinaldi - Journal of Artificial Intelligence …, 2025 - ioinformatic.org
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 …

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 …

ANALYSIS OF WORKPLACE CONDITIONS IN THE IMPLEMENTATION OF THE PROGRAM (K3) AT PT. GLOBAL DATA SOLUTION NEW PEKANBARU

JA Fitri, R Yanti, Y Delita - Al Insyirah International Scientific …, 2022 - jurnal.ikta.ac.id
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 …