Hybrid Method Air Quality Classification Analysis Model
Author:
Yanto Musli,Arlis Syafri,Na’am Jufriadif,Yuhandri Yuhandri,Marse Putra Deri
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%.
Publisher
Association for Information Communication Technology Education and Science (UIKTEN)
Subject
Management of Technology and Innovation,Information Systems and Management,Strategy and Management,Education,Information Systems,Computer Science (miscellaneous)
Cited by
1 articles.
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1. Application of Machine Learning for Air Quality Analysis;Communications in Computer and Information Science;2024