Prilyandari Dina Saputri

h-index

Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy
SDG 13 Climate Action
SDG 14 Life Below Water

Fingerprint

Dive into the research topics where Prilyandari Dina Saputri is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

8 Conference contribution
3 Article
2 Conference article

FORECASTING SEA LEVEL CHANGES USING HYBRID ARIMA-RADIAL BASIS FUNCTION NEURAL NETWORK METHODS
Soehardjoepri, Azmi, U., Saputri, P. D., Hakiki, M. T., Ananda, D. A. E. & Zakaria, R., Sept 2026, In: Barekeng. 20, 3, p. 2045-2062 18 p.
Research output: Contribution to journal › Article › peer-review

Open Access
A Comparative Study of Gated Recurrent Unit (GRU) and Bidirectional GRU (Bi-GRU) in Consumer Price Index Forecasting
Sasongko, E. C. & Saputri, P. D., 2025, 2025 International Conference on Artificial Intelligence and Technological Solutions: For Good Health, Well-Being, and Sustainable Water Management in Support of SDGs 3, 6, and 9, ICAITech 2025 - Proceeding. Institute of Electrical and Electronics Engineers Inc., p. 208-214 7 p. (2025 International Conference on Artificial Intelligence and Technological Solutions: For Good Health, Well-Being, and Sustainable Water Management in Support of SDGs 3, 6, and 9, ICAITech 2025 - Proceeding).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Hybrid Singular Spectrum Analysis - Time Series Regression - Neural Network Model for Forecasting Inflow and Outflow Currency
Balqis, A., Saputri, P. D. & Ahmad, I. S., 2025, ICoCSETI 2025 - International Conference on Computer Sciences, Engineering, and Technology Innovation, Proceeding. Wibowo, F. W. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 295-300 6 p. (ICoCSETI 2025 - International Conference on Computer Sciences, Engineering, and Technology Innovation, Proceeding).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)
Prediction Intervals for Extreme Rainfall in Indonesia Using Monotone Composite Quantile Regression Neural Network
Saputri, P. D., Azwarini, R. & Adipradana, D. W., Nov 2025, In: International Journal on Informatics Visualization. 9, 6, p. 2734-2741 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Stock Price Forecasting Using a Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Recurrent Neural Networks
Eraswati, K. I. A. & Saputri, P. D., 2025, 2025 International Conference on Applied Artificial Intelligence, Data Engineering and Sciences, ICAIDES 2025. Institute of Electrical and Electronics Engineers Inc., (2025 International Conference on Applied Artificial Intelligence, Data Engineering and Sciences, ICAIDES 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Study Findings from Institut Teknologi Sepuluh Nopember Update Knowledge in Networks (Forecasting Sea Level Changes Using Hybrid Arima-radial Basis Function Neural Network Methods)
'Azmi, U., Saputri, P. D. & Hakiki, M. T.
20/04/26
1 item of Media coverage
Press/Media

Prilyandari Dina Saputri, S.Si., M.Stat.

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

FORECASTING SEA LEVEL CHANGES USING HYBRID ARIMA-RADIAL BASIS FUNCTION NEURAL NETWORK METHODS

A Comparative Study of Gated Recurrent Unit (GRU) and Bidirectional GRU (Bi-GRU) in Consumer Price Index Forecasting

Hybrid Singular Spectrum Analysis - Time Series Regression - Neural Network Model for Forecasting Inflow and Outflow Currency

Prediction Intervals for Extreme Rainfall in Indonesia Using Monotone Composite Quantile Regression Neural Network

Stock Price Forecasting Using a Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Recurrent Neural Networks

Study Findings from Institut Teknologi Sepuluh Nopember Update Knowledge in Networks (Forecasting Sea Level Changes Using Hybrid Arima-radial Basis Function Neural Network Methods)

Prilyandari Dina Saputri, S.Si., M.Stat.

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

FORECASTING SEA LEVEL CHANGES USING HYBRID ARIMA-RADIAL BASIS FUNCTION NEURAL NETWORK METHODS

A Comparative Study of Gated Recurrent Unit (GRU) and Bidirectional GRU (Bi-GRU) in Consumer Price Index Forecasting

Hybrid Singular Spectrum Analysis - Time Series Regression - Neural Network Model for Forecasting Inflow and Outflow Currency

Prediction Intervals for Extreme Rainfall in Indonesia Using Monotone Composite Quantile Regression Neural Network

Stock Price Forecasting Using a Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Recurrent Neural Networks

Press/Media

Study Findings from Institut Teknologi Sepuluh Nopember Update Knowledge in Networks (Forecasting Sea Level Changes Using Hybrid Arima-radial Basis Function Neural Network Methods)