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All Journal Jurnal Ilmiah Dan Karya Mahasiswa
Stacyana Jesika
Universitas Negeri Medan
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media

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Implementasi Model Machine Learning dalam Mengklasifikasi Kualitas Air Stacyana Jesika; Suci Ramadhani; Yohanna Permata Putri
Jurnal Ilmiah Dan Karya Mahasiswa Vol. 1 No. 6 (2023): DESEMBER : JURNAL ILMIAH DAN KARYA MAHASISWA
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jikma.v1i6.1162

Abstract

Water quality is an important factor in maintaining human health and environmental sustainability. Water pollution is a major problem in Indonesia, so it is important to monitor and classify water quality effectively. Implementation of machine learning models in classifying water quality can provide important benefits in the environmental and health fields. This research uses two machine learning algorithms, namely KNN and SVM, to classify water quality. The water quality data used comes from the website www.kaggle.com, which was uploaded by MsSmartyPants in 2021 with the title "Water Quality (Dataset for water quality classification)". Implementation of this machine learning model involves the steps of data collection, data pre-processing, selection of relevant attributes, algorithm selection, model training, evaluation, and model implementation for real-time water quality classification.
Co-Authors Suci Ramadhani Yohanna Permata Putri