Penerapan Metode Naïve Bayes dalam Peramalan Polusi Udara di Kota Jakarta

Sandy Andika Maulana (Universitas Negeri Medan)
Shabrina Husna Batubara (Universitas Negeri Medan)
Wahyu Kurnia Rahman (Universitas Negeri Medan)

Mutiara: Jurnal Penelitian dan Karya Ilmiah
Vol. 1 No. 6 (2023): Desember: Mutiara : Jurnal Penelitian dan Karya Ilmiah

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.