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        <dc:title>PERBANDINGAN PERFORMA METODE KLASIFIKASI&#13;
BERBASIS MACHINE LEARNING DALAM PENENTUAN&#13;
TINGKAT PENCEMARAN AIR</dc:title>
        <dc:creator>Arby, Wahyu Muhammad</dc:creator>
        <dc:subject>000 Ilmu komputer, informasi dan pekerjaan umum</dc:subject>
        <dc:description>Penilaian pencemaran air merupakan tugas yang sangat penting dalam&#13;
pemantauan lingkungan karena dampaknya yang langsung terhadap kesehatan&#13;
manusia dan keberlanjutan ekosistem. Penelitian ini menganalisis kinerja metode&#13;
klasifikasi berbasis machine learning dalam menentukan tingkat pencemaran air&#13;
menggunakan data kualitas air yang tersedia secara publik. Beberapa algoritma&#13;
supervised learning, antara lain Decision Tree, Random Forest, Support Vector&#13;
Machine , K-Nearest Neighbor, dan Naïve Bayes, diterapkan untuk&#13;
mengklasifikasikan tingkat pencemaran berdasarkan parameter fisikokimia air.&#13;
Dataset dievaluasi menggunakan skema pembagian data latih dan data uji dengan&#13;
rasio 90:10, serta kinerja model dinilai menggunakan metrik accuracy, precision,&#13;
Recall, F1-Score, dan ROC-AUC. Hasil eksperimen menunjukkan bahwa&#13;
pengklasifikasi berbasis ensemble menghasilkan kinerja klasifikasi yang lebih&#13;
unggul dibandingkan pengklasifikasi tunggal, terutama dalam menangkap&#13;
hubungan nonlinier antar indikator kualitas air. Temuan ini sejalan dengan&#13;
penelitian-penelitian terkini yang menekankan efektivitas teknik machine learning&#13;
dalam klasifikasi kualitas air dan penilaian pencemaran air.</dc:description>
        <dc:date>2026-02-19</dc:date>
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