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All Journal Mutiara: Jurnal Penelitian dan Karya Ilmiah
Sandy Andika Maulana
Universitas Negeri Medan
Religion Humanities Computer Science & IT Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Other

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Penerapan Metode Naïve Bayes dalam Peramalan Polusi Udara di Kota Jakarta Sandy Andika Maulana; Shabrina Husna Batubara; Wahyu Kurnia Rahman
Mutiara : Jurnal Penelitian dan Karya Ilmiah Vol. 1 No. 6 (2023): Desember: Mutiara : Jurnal Penelitian dan Karya Ilmiah
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/mutiara.v1i6.702

Abstract

This research aims to analyze and predict the level of air pollution in Jakarta City using ISPU data of DKI Province, adopting the Naïve Bayes method. The test results show that the Naïve Bayes algorithm has excellent performance, with 93% accuracy, 98% precision, 100% recall, and 99% f1-score. The implication is that this model can be effectively used for air pollution forecasting in Jakarta City, assisting authorities in making decisions related to air quality and environmental improvement efforts.
Co-Authors Shabrina Husna Batubara Wahyu Kurnia Rahman