Hybrid Method Air Quality Classification Analysis Model
Hybrid Method Air Quality Classification Analysis Model
Author(s): Musli Yanto, Syafri Arlis, Jufriadif Na’am, Yuhandri Yuhandri, Deri Marse PutraSubject(s): Energy and Environmental Studies, Methodology and research technology
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: analysis models; classification; hybrid method; knowledge based; quality air;
Summary/Abstract: 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%.
Journal: TEM Journal
- Issue Year: 11/2022
- Issue No: 2
- Page Range: 829-836
- Page Count: 8
- Language: English
