Noodle Grouping Based on Nutritional Similarity with Hierarchical Cluster Analysis Method
نویسندگان
چکیده
Everyone in the world definitely needs nutritious food. Therefore consumers must be smart choosing foods. Noodles are a type of food that is popular Indonesia. The purpose this study was to classify fourteen types noodle brands based on similarity amount nutritional content each component. method used hierarchical cluster analysis with SPSS software tool. results showed noodles can classified into clusters between two and four. Classification shows there four nutritionally similar one A ten B.
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ژورنال
عنوان ژورنال: Sainteks : Jurnal Sain dan Teknik
سال: 2023
ISSN: ['2685-8304']
DOI: https://doi.org/10.37577/sainteks.v5i1.543