Vol.11, No.2, May 2022.                                                                                                                                                                                   ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Hybrid Method Air Quality Classification Analysis Model


Musli Yanto, Syafri Arlis, Jufriadif Na’am, Yuhandri Yuhandri, Deri Marse Putra


© 2022 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 11, Issue 2, Pages 829-836, ISSN 2217-8309, DOI: 10.18421/TEM112-41, May 2022.


Received: 02 February 2022.

Revised:   05 May 2022.
Accepted: 11 May 2022.
Published: 27 May 2022.




This paper aims to present a discussion of air quality based on the classification analysis developed by hybrid method. Problems that occur, where the longer the air quality is getting worse and can cause serious problems for human life. The method in performing the used analysis consisted of K-Means clustering, Multiple Linear Regression (MRL), Artificial Neural Network (ANN), and Decision Tree Algorithm C.45. The results of MRL measurement show that correlation relationship is the same as the variable with an output of 70.7%. Then the results of determination with ANN showed an MSE value of 0.0018197 and output accuracy of 99.99%.


Keywords –analysis model, classification, hybrid method, knowledge based, quality air.



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