Rohmatul Fajriyah Ema

Associate Professor in Statistics

Research interest:
Statistics, Bioinformatics, Public Health

Email: 966110101[at]uii.ac.id

Education:

Undergraduate, Gadjah Mada University, 1990-1996

Postgraduate-Master, Gadjah Mada University, 1999-2001

Doctoral, TU Graz 2012-2015

Description

Rohmatul Fajriyah research is on Statistics and Bioinformatics, mainly on data analysis and R statistical programming. Currently working on NGS data analysis on forestry in cooperation with Forestry Research Development Center and previously on plant breeding at EWINDO (East West Seed). She also has an ongoing work with the Biomedics Research Center on TBC and COVID-19. She and her team have developed a web-based RShiny application to classify malaria patients based on their red-blood cell image with Random Forest algorithm.

Selected publications

Rohmatul Fajriyah, 2016. A study of convolution models for background correction of beadarrays, Austrian Journal of Statistics, DOI: 10.17713/ajs.v45i2.92
Generalized Beta Convolution Model of the True Intensity for the Illumina Bead Arrays, Thailand Statistician, July 2015; 13(2): 145-167
K-Nearest Neighbor (KNN) Analysis on Genes Expression Datasets of Maize Nested Association Mapping (NAM) Showed Confident Classification on Organ-specific Expression, 2018 1st International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering – Bioinformatics and Biomedical Engineering
Implementing the Computer-Supported Collaborative Learning and Teaching in a Statistics Class for the Engineering Students, Journal of Physics: Conference Series. DOI: 10.1088/1742-6596/1028/1/012233
Introducing a cross-variance concept and its application, Proceedings – 2016 12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016: In Conjunction with the 6th Annual International Conference of Syiah Kuala University. DOI: 10.1109/ICMSA.2016.7954321
Measuring the Indonesian provinces competitiveness by using PCA technique, Journal of Physics: Conference Series. DOI: 10.1088/1742-6596/943/1/012033
Tscvh R package: Computational of the two samples test on microarray-sequencing data. Journal of Physics: Conference Series. DOI: 10.1088/1742-6596/943/1/012042
Logika Kalkulus, 2016, Azza Grafika, Yogyakarta
Pengantar Analisis Numerik, 2020, Prineka, Yogyakarta
Abciba4, an R package for Background Correction of the Illumina BeadArrays

Rohmatul Fajriyah Ema

Associate Professor in Statistics

Rohmatul Fajriyah, 2016. A study of convolution models for background correction of beadarrays, Austrian Journal of Statistics, DOI: 10.17713/ajs.v45i2.92

JURUSAN INFORMATIKA

TAUTAN CEPAT