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Application Of Fuzzy Logic In Determining Full Cream Milk Drink RecommendationsBased On Milk Price And Nutrition
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Fuzzy logic is part of the branch of mathematics that analyzes random number processes using computer science-based mathematical statistical theory. This research aims to use the fuzzy method to determine the recommended full-cream milk drink based on the price and nutrition of the packaged milk itself using fuzzy logic, observation, and literature study. The fuzzy method used is the Mamdani method with the assistance of the Fuzzy Inference System (FIS) in MATLAB R2015a application. Based on the research results, it is found that sample milks 4, 5, and 6 are suitable for recommendation to consumers because, through fuzzy logic analysis, they obtained membership degree values of 0.92, 0.92, and 0.91 respectively, which fall into the category of highly recommended.
Batrisya Education
Jasmine Maulida luthfiana
Fiqri Nurfadillah
Ester Angeline
Nanda Octavia
Muhammad Danang Mukti Darmawan
Makayla Fayly W
Firli Aflahatul
Muh. Kholid Irhamni Maulana
Novia Annisa Aqsha
Muhammad Razev Azmi Zaini
Nurhasanah
Dinda Marina
Ersa Athiyyah
Puspa Ayu Setyaningrum
Muh. Daffa Akbar Putra Palsan
Diana Yati
Mrr. Lukie Trianawati
Title: Application Of Fuzzy Logic In Determining Full Cream Milk Drink RecommendationsBased On Milk Price And Nutrition
Description:
Fuzzy logic is part of the branch of mathematics that analyzes random number processes using computer science-based mathematical statistical theory.
This research aims to use the fuzzy method to determine the recommended full-cream milk drink based on the price and nutrition of the packaged milk itself using fuzzy logic, observation, and literature study.
The fuzzy method used is the Mamdani method with the assistance of the Fuzzy Inference System (FIS) in MATLAB R2015a application.
Based on the research results, it is found that sample milks 4, 5, and 6 are suitable for recommendation to consumers because, through fuzzy logic analysis, they obtained membership degree values of 0.
92, 0.
92, and 0.
91 respectively, which fall into the category of highly recommended.
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