Jaka Nugraha

Associate Professor in Statistics

Research interest:
Categorical Data Analysis

Email: [email protected]

Education:

Undergraduate, Gadjah Mada University, 1989-1994

Postgraduate-Master, Gadjah Mada University, 1996-1999

Doctoral, Gadjah Mada University, 2006-2010

More:

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Description

Dr. Jaka Nugraha, M.Si has been a permanent lecturer at the Statistics Study Program at the Islamic University of Indonesia (UII) since 1995. Completed undergraduate (1994), S2 (1999) and S3 (2010) in the Statistics Study Program at Gadjah Mada University. He actively teaches in several study programs at UII in the subjects of Calculus, Categorical Data Analysis, Exploratory Data Analysis and Introduction to Probability. To date, several books have been written such as (1) Introduction to Categorical Data Analysis (2) Maximum Likelihood Method in Discrete Selection Models (3) Ordinal, Nominal and Count Data Modeling (4) Logit, Probit and Mixed Logit Models in Multivariate Response (5) ) Contingency Table Modeling Using a Loglinear Model.

Collaborating with several experts in the fields of Chemistry, Engineering, Psychology, a number of scientific papers have been published in several accredited national journals and also in reputable international journals. Currently, he holds the mandate as Director of the Directorate of Academic Development at UII.

Selected publications

  1. Performance Analysis of Mixed Logit Models for Discrete Choice Models. Pakistan Journal of Statistics and Operation Research. Vol. 15 No. 3, (2019) 563-575 DOI: http://dx.doi.org/10.18187/pjsor.v15i3.2313
  2. Physicochemical characteristics and photocatalytic performance of Tin oxide/montmorillonite nanocomposites at various Sn/montmorillonite molar to mass ratios. Applied Clay Science. 193 (2020) 105671  https://doi.org/10.1016/j.clay.2020.105671
  3. The Influence of Religiosity Toward Universitas Islam Indonesia Students Nationalism Using Structural Equation Modeling and Loglinear Model. Advances in Social Science, Education and Humanities Research. Atlantis Press. volume 397. February 2020. ISBN : 978-94-6252-895-6. ISSN : 2352-5398. DOI: https://doi.org/10.2991/assehr.k.200129.147.
  4. Designing Android-Based Library Application with Rough Set Method. Advances in Social Science, Education and Humanities Research. Atlantis Press. volume 397. February 2020.ISBN : 978-94-6252-895-6. ISSN : 2352-5398. DOI:https://doi.org/10.2991/assehr.k.200129.120
  5. Linear regression model and spatial autoregressive model for modeling high school dropout”,   Vol :2229, Issue 1. April 2020 AIP Conference Proceedings, https://doi.org/10.1063/5.0002420
  6. Tobit Modeling And Central Composite Design For Optimization Of Specific Surface Area Of Clay By Activation. Journal of Engineering Science and Technology, Vol: 1983 Issue (2020) 105671.