Personal profile
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):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land
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Dive into the research topics where Dedy Dwi Prastyo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An accuracy-level method for robust evaluation in predictive analytics
Agustini, M., Fithriasari, K. & Prastyo, D. D., Mar 2026, In: Decision Analytics Journal. 18, 100661.Research output: Contribution to journal › Article › peer-review
Open Access -
An expectile-based neural network approach for mixed-frequency economic forecasting
Saputra, W. H., Prastyo, D. D. & Fithriasari, K., Mar 2026, In: Decision Analytics Journal. 18, 100666.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Forecasting number of foreign tourist arrivals using time series intervention analysis based on SARIMA and log-linear poisson autoregressive model
Forestryani, V., Khusna, H., Prastyo, D. D. & Akbar, M. S., 4 Mar 2026, In: AIP Conference Proceedings. 3326, 1, 080031.Research output: Contribution to journal › Conference article › peer-review
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Knowledge-driven nodes selection with modified LASSO regularization for neural network modeling in economic data forecasting
Saputra, W. H., Prastyo, D. D. & Fithriasari, K., 15 Mar 2026, In: Knowledge-Based Systems. 336, 115273.Research output: Contribution to journal › Article › peer-review
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Model-Based Clusterwise Neural Network in Time Series Clustering of Stock Price
Puka, A. O. B., Fithriasari, K. & Prastyo, D. D., 2026, Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, p. 601-616 16 p. (Lecture Notes on Data Engineering and Communications Technologies; vol. 257).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Press/Media
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Researchers at Institut Teknologi Sepuluh Nopember Target Engineering (Interval Forecasting Using GEV Regression With Stochastic Search Variable Selection: A Simulation Study and Its Application to Forecast Imported Meat Price Range)
Rahayu, S. P. & Prastyo, D. D.
22/07/25
1 item of Media coverage
Press/Media