AA
Ansari Saleh Ahmar
Also known as: Karaeng Sutte
State University of Makassar, Universitat de Barcelona, Universitas Muhammadiyah Malang
Research areas: Decision Sciences · Management Science and Operations Research · Forecasting Techniques and Applications · Stock Market Forecasting Methods · Time Series Analysis and Forecasting
0000-0001-6888-9043
Employment
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Universitas Negeri Makassar Secretary2017 - 2019
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Universitas Negeri Makassar Associated Professor2014 - Present
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Universitas Negeri Makassar Web Programmer2012 - 2019
Education
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Universitat de Barcelona Ph.D.2019 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (118)
- Novel time series methods in economic forecasting: SutteARIMA evidence from Indonesian Consumer Price Index and currency exchange rates Save
- Comparative analysis of support vector regression (SVR) and SutteARIMA in predicting coal prices in Indonesia Save
- Losari: A Novel R-Based Statistical Software to Facilitate Students’ Self-Regulated Learning in Statistics Courses Save
- Time Series Innovation: Leveraging BetaSutte Models to Enhance Indonesia's Export Price Forecasting Save
- Effectiveness of the Flipped Project-Based Learning Model Based on Moodle LMS to Improve Student Communication and Problem-Solving Skills in Learning Programming Save
- Analyzing Rupiah-USD Exchange Rate Dynamics: A Study with ARCH and GARCH Models Save
- Barriers to Effective Learning: Examining the Influence of Delayed Feedback on Student Engagement and Problem Solving Skills in Ubiquitous Learning Programming Save
- BetaSutte: Applying Novelty in Data Forecasting with the Modified Trend-Augmented α-Sutte Indicator, A Case Study on Bank Mandiri (BMRI) Stock Prices Save
- Comparative Analysis of the Implementation of Technology, Pedagogy, and Education Trends on Sciences and Non-Sciences Program Students in Sulawesi Save
- Design of Quantized Deep Neural Network Hardware Inference Accelerator Using Systolic Architecture Save
- Android-Based E-Learning Application Design in Schools Save
- Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India Save
- Development of BasicStat: an R Package as Supporting Tools for Basic Statistics Learning Save
- Predicting the Welfare Cost of Premature Deaths Based on Unsafe Sanitation Risk using SutteARIMA and Comparison with Neural Network Time Series and Holt-Winters Save
- eWebook: exercise digital book as a learning solution for the Industrial Revolution 4.0 Era Save
- Bayesian Convolution for Stochastic Epidemic Model Save
- Bibliometric Analysis of “Statistics: A Journal of Theoretical and Applied Statistics” on 1985-2021 Period Save
- Implementation of the SutteARIMA method to predict short-term cases of stock market and COVID-19 pandemic in USA Save
- Machine Learning Algorithms with Parameter Tuning to Predict Students’ Graduation-on-time: A Case Study in Higher Education Save
- Modeling of inflation cases in South Sulawesi Province using single exponential smoothing and double exponential smoothing methods Save