The week's pick
Reseach Article
Parameter Estimation Model of Weibull Distribution on Students’ Achievement of Mathematic Education Program, Cenderawasih University
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 177 - Number 46 |
| Year of Publication: 2020 |
| Authors: Yan Dirk Wabiser, Mayor M. H. Manurung, Halomoan Edy Manurung |
10.5120/ijca2020919987
|
Yan Dirk Wabiser, Mayor M. H. Manurung, Halomoan Edy Manurung . Parameter Estimation Model of Weibull Distribution on Students’ Achievement of Mathematic Education Program, Cenderawasih University. International Journal of Computer Applications. 177, 46 ( Mar 2020), 41-48. DOI=10.5120/ijca2020919987
Abstract
This research aims to analyze and implement a distribution model obtained from grade result data of students of Mathematic Education Program so as to present the most useful information while their achievements are one factor of education quality control. For these reasons, this research investigates students’ achievement. The data are gained from their results of final semester exams on several subjects for the past three years. The analysis is conducted by clustering the subjects completed by the students. One of continual distribution used is Weibull distribution. The distribution attained is estimated by the Maximum Likelihood Estimation (MLE) method using Newton Raphson iteration. This research is supposed to deepen the statistical concept and numerical method particularly Weibull distribution using Maximum Likelihood Estimation along with Newton Raphson iteration and their application as well as to provide the Study program of Mathematic Education with problem solving alternatives and information to enhance learning quality in order to control the progress of students’ achievement on subjects learned and motivate them. (learning subjects).
References
- Khuri, A. I., 2003, Advanced Calculus WithApplications In Statistics, second Edition, John Wiley & Sons.
- Agresti,A.2013. Categorical Data Analysis, Third Edition.John Wiley & Sons:NewYork.
- Sudjana,Nana. 2012. Assessment of Teaching and Learning Results. Bandung : PT Remaja Rosdakarya.
- George,F, 2014. A Comparison of Shape and Scale Estimators of the Two-Parameter Weibull Distribution. Journal of Modern Applied Statistical Methods,Vol 13,No.1,23-35.
- Majid, Abdul. 2014. Authentic Assessment Process and Learning Outcomes. Bandung: PT.Remaja Rosdakarya.
- Manurung,H.E.,Sediyono,E.,Sembiring,I.,2014.Implementing Weibull Distribution to Generate Prediction Function for National Final Examination in Papua Province. International Journal of Computer Applications, Vol.87, No.6,0975-8887.
- Sroyer,A.,Tandiangnga,T.,Reba,Felix.,Beno,I.S.,2018. Comparison of Parameter Estimation Methods to Determine the Frequency Data Magnitude of Aftershock in Nabire, Papua. Journal of Science and Science Education,Vol.2,No.2,63-67.
- Indrayani,E.,Dimara,L.,Paiki,K.,Reba,F,2018. The Analysis of Phytoplankton Abundance Using Weibull Distribution (A Case Study in the Coastal Area of East Yapen in the Regency of Yapen Islands, Papua. Journal of Education and Learning,Vol. 7, No. 3,1927-5269.
- Yang, W.Y., et al. 2005. Applied Numerical Methods using Matlab. John Wiley& Sons, Inc.
Index Terms
Keywords