ComEngApp : Computer Engineering and Applications Journal
Vol 10 No 1 (2021)

Air Quality Classification Using Support Vector Machine

Ade Silvia Handayani (Politeknik Negeri Sriwijaya)
Sopian Soim (Politeknik Negeri Sriwijaya)
Theresia Enim Agusdi (Politeknik Negeri Sriwijaya)
Nyayu Latifah Husni (Politeknik Negeri Sriwijaya)

Article Info

Publish Date
01 Feb 2021

Abstract

Air pollution in Indonesia, especially in urban areas, becomes a serious problem that needs attention. The air pollution will impact on the environment and health. In this research, the air quality will be classified using Support Vector Machine method that obtained from the sensor readings. The sensors used in the detection of CO, CO2, HC, dust/PM10 and temperature, namely TGS-2442, TGS-2611, MG-811, GP2Y1010AU0F and DHT-11. After testing, the results obtained with classification accuracy of 95.02%. The conclusion of this research indicates that the classification using the Support Vector Machine has the ability to classify air quality data.

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Journal Info
ComEngApp : Computer Engineering and Applications Journal
Website

Abbrev

comengapp

Publisher

Universitas Sriwijaya

Subject

Computer Science & IT Engineering

Description

ComEngApp-Journal (Collaboration between University of Sriwijaya, Kirklareli University and IAES) is an international forum for scientists and engineers involved in all aspects of computer engineering and technology to publish high quality and refereed papers. This Journal is an open access journal ...