Penerapan Algoritma Naïve Bayes Dalam Pengelompokkan Air Layak Minum

Dian Permata Sari(1*), Wira Buana(2), Rozi Meri(3), Rika Widya Perdana(4),

(1) STMIK Jayanusa Padang, Sumatera Barat, Indonesia
(2) STMIK Jayanusa Padang, Sumatera Barat, Indonesia
(3) Politeknik Negeri Padang, Sumatera Barat, Indonesia
(4) AMIK Kosgoro, Sumatera Barat, Indonesia
(*) Corresponding Author

Abstract


Water is a basic human need, without water humans cannot carry out activities. However, not all types of water can be consumed and are healthy for humans. So it is important to check water quality regularly. Because the influence of weather can make the water quality unfit      consumption. To determine water quality, laboratory testing is required. This test requires complex analysis results so the time used in testing is relatively longer. In data mining there are classification techniques that can be used to group drinking water samples based on several variables that have been determined from water data. The aim of this research is to classify the types of drinking water that are suitable for consumption and the characteristics of healthy water. To process the data using the Naïve Bayes algorithm and produce an accuracy value of 75%.

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References


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DOI: https://doi.org/10.30645/kesatria.v5i3.406

DOI (PDF): https://doi.org/10.30645/kesatria.v5i3.406.g402

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