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Sistem Pakar Penilaian Mutu Kopi Menggunakan Metode Bayes
Coffee quality grading requires consistent evaluation of physical and sensory attributes, yet manual assessment may be time-consuming and influenced by assessor subjectivity. This study develops a web-based expert system using the Bayes method to support Arabica coffee quality assessment at Roman Ko
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