SIGIT NUGROHO. Professor. [SINTA ID: 5974873, Scopus ID: 15825418800, Orcid: 0000-0003-4535-2045, Google Scholar ID: HN2uER4AAAAJ]. He received Doctor of Philosophy in Statistics at the University of Kentucky at Lexington, Kentucky, USA. Courses that have been and are being taught are: Theory of Statistical Inference I, Theory of Nonparametric Statistics, Advanced Experimental Design and Multivariate Analysis. He also teaches regularly at the study program of Master of Management, Master of Accounting, Master of Economy, Doctor of Management and Doctor of Economics in the courses related to statistics. He is now is the head of th study program (Early 2023-now). The concentration of statistics which is the focus of his research includes but not limited to general linear models, nonparametric statistics and multivariate analysis. Some of the recent articles that have been published are as follows:
- Cryptocurrency Forecasting using α-Sutte Indicator, ARIMA, and Long Short-Term Memory
- Comparison of Principal Component Analysis and Maximum Likelihood Factor Analysis in Bank Health Ratio
- Spherical K-Means method to determine earthquake clusters
- Spatial Panel Data Model of Poverty in Bengkulu Province with Fixed Effect and Spatial Error Autocorrelation
- Forecasting A Weekly Red Chilli Price in Bengkulu City Using Autoregressive Integrated Moving Average (ARIMA) and Singular Spectrum Analysis (SSA)
- Agglomerative Nesting (AGNES) Method and Divisive (DIANA) Method for Hierarchical Clustering On Some Distance Measurement Concepts.
- Extreme Rainfall Modeling Using Spatial Extreme Value with Max-Stable Processes Models of Smith, Brown-Resnick, and Schlather.
