Nanda Rizqia Pradana Ratnasari, S.Si., M.Stat.

Faculty of BioInformatics

Research Interest


Nanda Rizqia Pradana Ratnasari, S.Si, M.Stat. is an Indonesian national. She completed her bachelor’s degree in science in Statistics at Universitas Brawijaya. She was awarded the Indonesia Endowment Fund for Education (LPDP) scholarship to pursue her master’s degree in Statistics at the Australian National University, Canberra. Both her bachelor’s and master’s theses focused on stochastic modeling and its application in sciences and economics.

She worked as a lecturer assistant at Universitas Brawijaya prior to her master’s study, teaching statistics and its applications in natural sciences. During that time, she also worked as a statistics and data analyst at the Study Center for State and Local Government Finance. She has some teaching experiences in Indonesia, Australia, and Italy; and did research projects at the Australian National University, the University of Queensland, and International Statistics Institute.

Currently, Nanda works as a Faculty Member of the Bioinformatics program at i3L. Her interest is in statistical modeling, data science, and machine learning. She also focuses on data analysis using Rstudio and Python. She also has a keen aim at applying them to life sciences. She believes that, in education, if young generations are instilled a passion for learning statistics in interesting ways, Indonesia will be able to rule the big data era.


Year Award Source
I3L Internal Research Grant 2022
I3L Internal Research Grant 2020
The Indonesia Endowment Fund for Education

Research Activity and Highlighted Project

Year Title Partners
Non-Parametric Analysis for Quantifying Methylation Level
Comparison Study of Clustering Methods on Stunting Cases in Indonesia
Computerized Cognitive Stimulation for Identification and Intervention of Cognitive Deficit
Covid19 Modelling: Spatial-Temporal and ARIMA Models for Predicting Covid19 Cases in Indonesia
Meta-Analysis in Mental Health: Effectiveness of SSRIs vs SSRIs in conjunction with CBT in treating depression in young adolescents

Selected Publication

Parikesit, A. A., Ratnasari, N. R. P., & Anurogo, D. (2021). Application of Artificial Intelligence-Based Computation in the Health Sciences to Ward off the COVID-19 Pandemic. Intern J Human Health Sci5(2), 177-184.

Ratnasari, N. R. P. (2020). ARI (1, 1) Model for Predicting Covid19 in Indonesia. Indonesian Journal of Life Sciences Vol2(02).

Ratnasari, N. R. P., & Dewi, V. R. (2020). SPATIO-TEMPORAL MODEL FOR PREDICTING COVID19 CASES IN INDONESIA. In Seminar Nasional Official Statistics (Vol. 2020, No. 1, pp. 196-209).



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