UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Total records found : 2 |
| Simplified search suggestions : Muhammad Fakhrullah Mohd Fuad |
| 1 | 2021 Final Year Project | Comparison of singular spectrum analysis forecasting algorithms for students academic performance during Covid-19 outbreak Muhammad Fakhrullah Mohd Fuad Due to the spread of COVID-19 that hit Malaysia, all academic activities at educational
institutions including universities had to be carried out via online learning. However,
the effectiveness of online learning is remains unanswered. Besides, online learning
may have a significant impact if continued in the upcoming academic sessions.
Therefore, the core of this study is to predict the academic performance of
undergraduate students at one of the public universities in Malaysia by using Recurrent
Forecasting-Singular Spectrum Analysis (RF-SSA) and Vector Forecasting-Singular
Spectrum Analysis (VF-SSA). The key concept of the predictive model is to improve
the efficiency of different types of forecast model in SSA by using two parameters
which are window length (?) and number of leading components (?). The forecasting
approaches in SSA model was based on the Grade Point Average (GPA) for
undergraduate students from Faculty of Science and Mathematics, UPSI via online
classes..... 1247 hits |
| 2 | 2021 Article | Comparison of singular spectrum analysis forecasting algorithms for student\s academic performance during COVID-19 outbreak Shazlyn Milleana Shaharudin Due to the spread of COVID-19 that hit Malaysia, all academic activities at educational institutions including universities had to be carried out via online learning. However, the effectiveness of online learning is remains unanswered. Besides, online learning may have a significant impact if continued in the upcoming academic sessions. Therefore, the core of this study is to predict the academic performance of undergraduate students at one of the public universities in Malaysia by using Recurrent Forecasting-Singular Spectrum Analysis (RF-SSA) and Vector Forecasting-Singular Spectrum Analysis (VF-SSA). The key concept of the predictive model is to improve the efficiency of different types of forecast model in SSA by using two parameters which are window length (L) and number of leading components (r). The forecasting approaches in SSA model was based on the Grading Point Assessments (GPA) for undergraduate students from Faculty Science and Mathematics, UPSI via online classes during C..... 981 hits |
