An Assessment of Markov Chain as a Predictive Tool for the Global Performance of an Institution of Higher Learning
Masikini Lugoma, Masengo Ilunga, Kalenga WaKalenga
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Masikini Lugoma
Department of Mining, Minerals and Geomatics Engineering, University of South Africa, Pretoria, South Africa
Masengo Ilunga
Department of Civil and Environmental Engineering and Building Science, University of South Africa, Pretoria, South Africa
Kalenga WaKalenga
Department of Extraction Metallurgy, University of Johannesburg, Johannesburg, South Africa
Cite this paper as:Lugoma, M., Ilunga, M., WaKalenga, K. (2024). An Assessment of Markov Chain as a Predictive Tool for the Global Performance of an Institution of Higher Learning.
Journal of Systemics, Cybernetics and Informatics, 22(5), 48-53. https://doi.org/10.54808/JSCI.22.05.48
Online ISSN (Journal): 1690-4524
Abstract
The Markov chain (MC) technique is used to make prediction of the ranking of a university in South Africa. The ranking is approached as a stochastic variable. The data were extracted from Scimago in the prediction process. A university was randomly selected to evaluate the level of prediction of the MC method. The university was relatively low ranked. The MC states for this study were adopted from a previous one, based on performance brackets. The Markov chain displayed a satisfactory level of prediction for the probability of a university moving from one level to another. The distribution of university rankings could be well defined to determine the performance of a university.
