Dosen
Dr. Defi Yusti Faidah, S.Si., M.Si.
NIP : 198810152012122003
Sinta ID : 6014997
Orcid ID : 0000-0002-7474-2336
Google Scholar : Q0JFqdUAAAAJ
Scopus ID : 57211960559
Email : [email protected]
Dr. Defi Yusti Faidah, S.Si., M.Si.
Dosen
Biografi
- Doctoral Program
Institut Teknologi Sepuluh Nopember
(2017-2024) - Master Program
Institut Teknologi Sepuluh Nopember
(2010-2012) - Bachelor Program
Institut Teknologi Sepuluh Nopember
(2006-2010)
Minat Riset
- Time Series Forecasting
- Extreme Weather and Climate
- Clustering
Penghargaan
Keanggotaan Profesional
Publikasi Kunci
- D. Y. Faidah, A. M. Hudzaifa, and R. S. Pontoh, “Clustering of childhood Diarrhea diseases using gaussian mixture model,” Communications in Mathematical Biology and Neuroscience, 2024.
- G. Darmawan, B. Handoko, D. Y. Faidah, and D. Islamiaty, “Improving the Forecasting Acccuracy Based on the Lunar Calendar in Modeling Rainfall Levels Using the Bi-LSTM Method through the Grid Search Approach,” The Scientific World Journal, vol. 2023, pp. 1-8, 2023.
- D. Y. Faidah, H. Kuswanto, and S. Sutikno, “Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia,” The Scientific World Journal, vol. 2022, pp. 1-9, 2022.
- D. Y. Faidah, H. Kuswanto, and Suhartono, “Evaluation of the North American multi-model ensemble for monthly precipitation forecast,” Journal of Physics: Conference Series, vol. 1722, no. 1, p. 012067, 2021.
Patent
2024 – HaKI no. 000638715
2023 – HaKI no. 000498798
NIP : 198810152012122003
Sinta ID : 6014997
Orcid ID : 0000-0002-7474-2336
Google Scholar : Q0JFqdUAAAAJ
Scopus ID : 57211960559
Email : [email protected]