Shofi Andari

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Graduate Research Assistant, Ph.D., Rotation Student
Shofi Andari

In her Undergraduate work, Shofi Andari worked on a thesis project titled: A study of clustering methods on mixed numerical and categorical data.

In her Master’s work, she worked on a these project titled: Breast cancer diagnosis using smooth support vector machine and multivariate adaptive regression splines.

From 2013 to present, Shofi has been a lecturer in the Department of Statistics at ITS in Surabaya, Indonesia where she has written books and modules, done research and given service to the community.  Courses taught included:

  • Stochastic processes - 2015 – 2016
  • Numerical methods - 2014 – 2016
  • Probability theory - 2015
  • Artificial Neural Network - 2014
  • Multivariate analysis - 2014
  • Regression analysis - 2013
  • Linear algebra - 2013
  • Introduction to computer science – 2013

BOOK

Pratnya P. Oktaviana and Shofi Andari (2015). Metode Statistika Menggunakan SAS® (Statistical Method using SAS®), published by ITSPress.

JOURNAL PAPERS

• Santi W. Purnami, Shofi Andari, and Yuniati D. Pertiwi (2015). Combine sampling support vector machine for imbalanced data classification, Procedia Computer Science 72 , url: http://www.sciencedirect.com/science/article/pii/S1877705815033846

Shofi Andari and Santi W. Purnami (2015). Reduced Support Vector Machine Based on Nonhierarchical Clustering Techniques for Classifying Mixed Large-Scale Datasets, International Journal of Applied Mathematics and Statistics (IJAMAS) Vol. 53 (5), url: http://www.ceser.in/ceserp/index.php/ijamas/article/view/3704

• Bambang W. Otok, Santi W. Purnami, and Shofi Andari (2015). Developing measurement model using Bayesian confirmatory factor analysis in suppressing maternal mortality, International Journal of Applied Mathematics and Statistics (IJAMAS) Vol. 53 (6), url: http://ceser.in/ceserp/index.php/ijamas/article/view/3753

PRESENTED PAPERS

Shofi Andari and Santi W. Purnami (2014). Classifying large-scale categorical datasets using reduce support vector machine based on clustering technique, paper was presented at ICBEta 2014 (International Conference on Biomedical Engineering Technology and Application), in Yogyakarta, Indonesia and published on its proceeding.

Shofi Andari and Dian Anggraeni (2012). Cluster Validation in Correlated Simulation Data Using R Package clValid, paper was included as poster presentation at BaSic Science 2012 in Malang, Indonesia.

Shofi Andari, Santi W. Purnami, and Bambang W. Otok (2012). Breast cancer diagnosis using smooth support vector machine and multivariate adaptive regression splines, paper was included as poster presentation at ICMSA 2012 (International Conference on Mathematics, Statistics, and Its Applications 2012) in Bali, Indonesia and published on its proceeding.

Professional Licensure and Certifications

2016 - Dept. of Statistics IPB, Bogor, Indonesia

Workshop on Big Data Analytics: Applications to Modern Genetics

2015 - Multidisciplinary Graduate Program

University of Indonesia, Jakarta, Indonesia

Workshop on Bioinformatics and Computational Biology

2015 - Dept. of Electrical Engineering

University of Indonesia, Depok, Indonesia

Big Data Engineer (certified by TUV Rheinland)

Research Activities

--Reduced support vector machine based on clustering techniques for large-scale datasets classification (2014, completed)

Principal investigator

Funded by: ITS Institution Local Funding, Beginner Researcher Scheme

(PNBP ITS – Penelitian Pemula)

--Smoking behavior mapping on adolescent using model based clustering approach (2014, completed)

Principal investigator

Funded by: Advanced Analysis, Ministry of Health of Indonesia

(Analisis Lanjut, Litbangkes Depkes RI)

--Feature selection based on support vector machine for microarray data application (2016, in progress)

Principal investigator

Funded by: ITS Institution Local Funding, Beginner Researcher Scheme

(PNBP ITS – Penelitian Pemula)

--Predicting survival of cervical cancer based on support vector machine and Bayesian survival analysis (2016, in progress)

Co-investigator

Funded by: Publication and International Collaboration Grant, DIKTI

--Classification on high dimensional and imbalance data using hybrid support vector machine (2016, in progress)

Co-investigator

Funded by: Competence Grant, DIKTI

--Classification on high dimensional and imbalance data using hybrid support vector machine (2016, in progress)

Co-investigator

Funded by: Competence Grant, DIKTI

Professional Membership

International Society of Computational Biology (ISCB)

since 11 February 2016

Area of Expertise: 
Structural Bioinformatics
comparative genetics
Transcriptomics
Education: 
B.S., Institut Pertanian Bogor, Institut Teknologi Sepuluh Nop
M.S., Institut Pertanian Bogor, Institut Teknologi Sepuluh Nop
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