Earticle

초록

영어

The problem of water pollution is increasing every day, due to the industries’ waste product disposal, migration of people from rural to urban areas, crowded population, untreated sewage disposal, wastewater and other harmful chemicals’ discharge from the industries. There is a need to resolve this problem for us to get good water that can be used for domestic purposes. This article proposes a suitable classification model for classifying water quality based on the machine learning algorithms. The paper analyzed and compared performance of various classification models and algorithms in order to identify the significant features that contributed in classifying water quality of Kinta River, Perak Malaysia. Five models with respective algorithms were tested and compared with their performance. In assessing the result, the Lazy model using K Star algorithm was the best classification model among the five models had the most outstanding accuracy of 86.67%. Generally, wastewater is harmful to our lives, and bringing scientific models in solving this problem is obligatory.

목차

Abstract
 1. Introduction
 2. Overview of the Study Area
 3. Related Work
 4. Methodology
  4.1. Research Framework
 5. Experimental Data
 6. Result and Discussions
 7. Conclusion and Future Work
 Acknowledgement
 References

키워드

저자

• Salisu Yusuf Muhammad [ Faculty of Informatics and Computing,University of Sultan Zainal Abidin, Tembila Campus,22000 Besut, Malaysia ]
• Mokhairi Makhtar [ Faculty of Informatics and Computing,University of Sultan Zainal Abidin, Tembila Campus,22000 Besut, Malaysia ]
• Azilawati Rozaimee [ Faculty of Informatics and Computing,University of Sultan Zainal Abidin, Tembila Campus,22000 Besut, Malaysia ]
• Azwa Abdul Aziz [ Faculty of Informatics and Computing,University of Sultan Zainal Abidin, Tembila Campus,22000 Besut, Malaysia ]
• Azrul Amri Jamal [ Faculty of Informatics and Computing,University of Sultan Zainal Abidin, Tembila Campus,22000 Besut, Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605