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

Research Interest

  • Statistics Modeling
  • Data Sciences
  • Machine Learning
  • Statistics Inference – Bayesian Statistics
  • Stochastics

Biography

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.

Award

Year

Award

Source

2022

I3L Internal Research Grant

I3L

2020-2021

I3L Internal Research Grant

I3L

2017-2018

The Indonesia Endowment Fund for Education

 

Research Activity and Highlighted Project

Year

Title

Partners

2022-2023

Non-Parametric Analysis for Quantifying Methylation Level

 

2021-2022

Comparison Study of Clustering Methods on Stunting Cases in Indonesia

 

2020-2021

Computerized Cognitive Stimulation for Identification and Intervention of Cognitive Deficit

 

2020-2021

Covid19 Modelling: Spatial-Temporal and ARIMA Models for Predicting Covid19 Cases in Indonesia

 

2019-2020

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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