Nur Iriawan

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 2 Zero Hunger
SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth
SDG 10 Reduced Inequalities
SDG 11 Sustainable Cities and Communities

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45 Article
41 Conference contribution
27 Conference article
1 Chapter

SEP-HMM: A Flexible Hidden Markov Model Framework for Asymmetric and Non-Mesokurtic Emission Patterns
Unggul, D. B., Iriawan, N., Irhamah, I. & Prabowo, A. A., Feb 2026, In: Mathematics. 14, 3, 393.
Research output: Contribution to journal › Article › peer-review

Open Access
A Bayesian Markov Switching Autoregressive Model with Time-Varying Parameters for Dynamic Economic Forecasting
Inayati, S., Iriawan, N., Irhamah & Isnaini, U., Dec 2025, In: Forecasting. 7, 4, 79.
Research output: Contribution to journal › Article › peer-review

Open Access
Bayesian Restructuring Technology Acceptance Model (TAM) with Moderating Lecture Self-Managing in E-Learning Adoption
Rafikasari, E. F., Iriawan, N. & Otok, B. W., 2025, In: Decision Making: Applications in Management and Engineering. 8, 1, p. 517-533 17 p.
Research output: Contribution to journal › Article › peer-review
Bivariate Normal Distribution for Modelling Spatio-Temporal Data
Nariswari, R., Fithriasari, K. & Iriawan, N., 2025, Proceedings of the 7th International Conference on Statistics: Theory and Application, ICSTA 2025. Samia, N. & Husmeier, D. (eds.). Avestia Publishing, (Proceedings of the International Conference on Statistics).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Forecasting tourist visits using switching-Markov ARX based on Google Trends data
Siniwi, L. M., Fithriasari, K. & Iriawan, N., 15 Jul 2025, In: AIP Conference Proceedings. 3301, 1, 050016.
Research output: Contribution to journal › Conference article › peer-review

Reports Outline Mathematics Study Results from Institut Teknologi Sepuluh Nopember (SEP-HMM: A Flexible Hidden Markov Model Framework for Asymmetric and Non-Mesokurtic Emission Patterns)
Irhamah & Iriawan, N.
26/02/26
1 item of Media coverage
Press/Media
Studies from Universitas Negeri Yogyakarta Update Current Data on Forecasting (A Bayesian Markov Switching Autoregressive Model with Time-Varying Parameters for Dynamic Economic Forecasting)
Iriawan, N.
7/01/26
1 item of Media coverage
Press/Media
Data from Sepuluh Nopember Institute of Technology Provide New Insights into Mathematics (Parameter Estimation of Msnburr-based Hidden Markov Model: a Simulation Study)
Irhamah & Iriawan, N.
26/12/25
1 item of Media coverage
Press/Media
New Forecasting Study Findings Have Been Reported by a Researcher at Institut Teknologi Sepuluh Nopember (A Markov Switching Autoregressive Model with Time-Varying Parameters)
Iriawan, N.
15/08/24
1 item of Media coverage
Press/Media
Department of Statistics Researchers Detail New Studies and Findings in the Area of Brain Cancer (YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image)
Iriawan, N.
5/03/24
1 item of Media coverage
Press/Media

Nur Iriawan, Prof., Drs., M.IKom., Ph.D.

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

SEP-HMM: A Flexible Hidden Markov Model Framework for Asymmetric and Non-Mesokurtic Emission Patterns

A Bayesian Markov Switching Autoregressive Model with Time-Varying Parameters for Dynamic Economic Forecasting

Bayesian Restructuring Technology Acceptance Model (TAM) with Moderating Lecture Self-Managing in E-Learning Adoption

Bivariate Normal Distribution for Modelling Spatio-Temporal Data

Forecasting tourist visits using switching-Markov ARX based on Google Trends data

Reports Outline Mathematics Study Results from Institut Teknologi Sepuluh Nopember (SEP-HMM: A Flexible Hidden Markov Model Framework for Asymmetric and Non-Mesokurtic Emission Patterns)

Studies from Universitas Negeri Yogyakarta Update Current Data on Forecasting (A Bayesian Markov Switching Autoregressive Model with Time-Varying Parameters for Dynamic Economic Forecasting)

Data from Sepuluh Nopember Institute of Technology Provide New Insights into Mathematics (Parameter Estimation of Msnburr-based Hidden Markov Model: a Simulation Study)

New Forecasting Study Findings Have Been Reported by a Researcher at Institut Teknologi Sepuluh Nopember (A Markov Switching Autoregressive Model with Time-Varying Parameters)

Department of Statistics Researchers Detail New Studies and Findings in the Area of Brain Cancer (YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image)

Nur Iriawan, Prof., Drs., M.IKom., Ph.D.

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media