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Sutikno, Dr., S.Si., M.Si.
Community Engagement Center for Regional Potential and Community Empowerment (PDPM)
Department of Statistics
,
Laboratory of Environmental and Health Statistics
h-index
245
Citations
9
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2012
2025
Research activity per year
Overview
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Research output
(70)
Similar Profiles
(6)
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Dive into the research topics where Sutikno is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Mathematics
Auto Regressive Integrated Moving Average
7%
Autoregressive Integrated Moving Average
7%
Bayesian
15%
Bayesian Approach
9%
Bivariate
63%
Closed Form
9%
Copula
8%
Covariate
20%
Cox Point Process
7%
Cross-Validation
7%
Dependent Variable
8%
Ensemble Model
7%
Estimation Method
15%
Filter Method
7%
Gaussian Copula
7%
Generalized Cross
7%
Global Method
9%
Inverse Gaussian
31%
Likelihood Ratio Test
25%
Logistic Regression
7%
Logistic Regression Model
11%
Mathematical Method
8%
Maximum Likelihood
34%
Maximum Likelihood
27%
Mean Square
9%
Mean Square Error
11%
Mixed Model
7%
Multivariate Adaptive Regression Spline
30%
Negative Binomial
15%
Newton-Raphson
8%
Overdispersion
14%
Parameter Estimation
100%
Poisson Regression
46%
Poisson Regression Model
16%
Predictor Variable
30%
Principal Component Analysis
7%
Regression Model
86%
Regression Parameter
22%
Regularization
15%
Relative Risk
7%
Response Variable
63%
Ridge
7%
Risk Analysis
15%
Space Model
9%
Spline
14%
Spline Model
14%
Statistical Hypothesis Testing
76%
Statistical Modeling
7%
Statistical Test
11%
Test Statistic
27%
Engineering
Air Transport
15%
Back Face
7%
Boiler
7%
Carbon Fibre Reinforced Polymer
15%
Composite Material
8%
Computational Time
7%
Cutting Force
15%
Delamination
9%
Delay Time
7%
Dependent Variable
7%
Design Model
7%
Distribution Model
7%
Electric Power Plant
7%
End Milling
15%
Feedforward
5%
Fibre-Reinforced Polymer Composite
7%
Fuzzy Inference System
7%
Fuzzy System
7%
Gaussians
15%
Genetic Algorithm
13%
Genetic Algorithm Method
7%
Hidden Layer
11%
Impact Energy
10%
Input Layer
5%
Least Square
8%
Lifecycle Cost
7%
Long Short-Term Memory
7%
Maximum Likelihood Estimation
6%
Output Layer
7%
Parameter Estimate
7%
Parameter Estimation
13%
Particle Swarm Optimization
7%
Performance Test
7%
Potential Loss
7%
Predictor Variable
17%
Quality Characteristic
11%
Quality Loss
7%
Railway
7%
Rainfall Intensity
7%
Risk Level
15%
Root Mean Square
7%
Steam Power Plant
7%
Superheater
7%
Support System
11%
Support Vector Machine
7%
Thematic Map
7%
Thrust Force
7%
Traffic Volume
7%
Vehicle Operation
7%
Vulcanization Process
7%
