Johan Ryan Hutajulu
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IMPLEMENTASI KUALITAS MINUMAN WINE MENGGUNAKAN METODE KLASIFIKASI Johan Ryan Hutajulu
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 13 No. 1 (2025): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v13i1.32864

Abstract

This study aims to evaluate wine quality using three different classification algorithms: K-Nearest Neighbor (KNN), Artificial Neural Network (ANN), and Polynomial regression. The data used in this study comes from the Wine Quality repository, which includes various chemical attributes of wine, such as alcohol content, acidity, and sugar. Each algorithm is evaluated based on several performance metrics, including precision, recall, f1-score, and accuracy.