Vol.10, No.2, May 2021.                                                                                                                                                                                    ISSN: 2217-8309

                                                                                                                                                                                                                         eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Machine Learning Algorithms for Predicting the Spread of Covid‒19 in Indonesia


Syafri Arlis, Sarjon Defit


© 2021 Syafri Arlis, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 10, Issue 2, Pages 970-974, ISSN 2217-8309, DOI: 10.18421/TEM102-61, May 2021.


Received: 02 December 2020.

Revised:   09 April 2021.
Accepted: 19 April 2021.
Published: 27 May 2021.




Coronavirus 2019 or Covid-19 is a major problem for health, and it is a global pandemic that has to be controlled. Covid-19 spread so fast to 196 countries, including Indonesia. The government has to study the pattern and predict its spread in order to make policies that will be implemented to tackle the spread of some of the existing data. Therefore this research was conducted as a precautionary measure against the Covid-19 pandemic by predicting the rate of spread of Covid-19. The application of the machine learning method by combining the k-means clustering algorithm in determining the cluster, k-nearest neighbor for prediction and Iterative Dichotomiser (ID3) for mapping patterns is expected to be able to predict the level of spread of Covid-19 in Indonesia with an accuracy rate of 90%.


Keywords –machine learning, k-means, k-nearest neighbor, Iterative Dichotomiser.



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