K-Means Algorithm Grouping for Visualizing Potential of Hydrogen (pH) Data in Kali Lamong River

Shah Khadafi, Achmad Chusnun Ni’am, Gayuh Alamsyah

2023

Abstract

Water quality monitoring becomes vital in water management, such as in the Lamong River. Changes in the values of water pH will affect the water quality. For this reason, it is necessary to classify water quality to find information on water quality zones with good and poor conditions. This study employed the K-Means algorithm method for grouping water quality, and the final results of grouping were visualized on a website-based application. The test was carried out three times with the numbers of clusters 2, 3, and 4, then cluster analysis was carried out using the Davies-Bouldin Index to determine the best number of clusters. The research results indicated that the best number of clusters produced using the K-Means algorithm were two clusters (k = 3), with the smallest validity value of the Davies-Bouldin Index by 0.36. Three clusters were formed, with 43 stations from Cluster 1, 45 stations from Cluster 2 and 29 stations from Cluster 3. It yielded four iterations, with information C1 for poor conditions, C2 for good conditions, and C3 for medium conditions.

Paper Citation

in Harvard Style

Khadafi S., Chusnun Ni’am A. and Alamsyah G. (2023). K-Means Algorithm Grouping for Visualizing Potential of Hydrogen (pH) Data in Kali Lamong River. In Proceedings of the 4th International Conference on Advanced Engineering and Technology - Volume 1: ICATECH; ISBN 978-989-758-663-7, SciTePress, pages 69-75. DOI: 10.5220/0012108900003680

in Bibtex Style

@conference{icatech23,
author={Shah Khadafi and Achmad Chusnun Ni’am and Gayuh Alamsyah},
title={K-Means Algorithm Grouping for Visualizing Potential of Hydrogen (pH) Data in Kali Lamong River},
booktitle={Proceedings of the 4th International Conference on Advanced Engineering and Technology - Volume 1: ICATECH},
year={2023},
pages={69-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012108900003680},
isbn={978-989-758-663-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Advanced Engineering and Technology - Volume 1: ICATECH
TI - K-Means Algorithm Grouping for Visualizing Potential of Hydrogen (pH) Data in Kali Lamong River
SN - 978-989-758-663-7
AU - Khadafi S.
AU - Chusnun Ni’am A.
AU - Alamsyah G.
PY - 2023
SP - 69
EP - 75
DO - 10.5220/0012108900003680
PB - SciTePress