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Nanda Octavia
Bogor Agricultural University
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Implementation of Fuzzy Logic in Determining Recommendations for Purchasing Folic Acid Supplements based on Fruit and Vegetable Consumption Patterns in Pregnant Mothers Annisa Nurul Adelia; Al Zahra Dwi Pranata Lia Tanjung; Jesika Azura; Windy Anjeli Br Sitanggang; Sophia Solihati Devi; Syifa Hawasiatul Fikriyah; Myita Syabrina; Shafira Az-zahra; Ardya Hadi Kusuma; Muhammad Arsyad Budiman; Muhammad Danang Mukti Darmawan; Nanda Octavia; Ester Angeline; Fiqri Nurfadillah; Mrr. Lukie Trianawati
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 3 (2024): June 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/qvk7py59

Abstract

This research aims to implement fuzzy logic in determining the level of recommendation for folic acid supplements based on the input of the amount of vegetable and fruit consumption and folic acid content. The output of the developed system is in the form of recommendation level with categories of "not recommended", "less recommended", and "recommended". This research data was obtained based on literature studies and through observation of samples of supplements containing folic acid in several related pharmacies. This research method includes direct calculations and the use of MATLAB. The results show that in the example case with the amount of vegetable and fruit consumption of 550 with a folic acid content of 175 can produce an output value of 400 which puts the recommendation level based on dosage in the "not recommended" position. This result has been verified both through direct calculation and the use of MATLAB software. Studies have concluded that the application of using of fuzzy logic can help in providing supplement levels. This contributes to considerate of decision-making in the community, especially in pregnant women, which can help determine the supplements consumed so that the fulfillment of daily consumption of folic acid content can be met.
Application Of Fuzzy Logic In Determining Full Cream Milk Drink RecommendationsBased On Milk Price And Nutrition 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
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/hep83j80

Abstract

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.
Co-Authors Al Zahra Dwi Pranata Lia Tanjung Annisa Nurul Adelia Ardya Hadi Kusuma Diana Yati Dinda Marina Ersa Athiyyah Ester Angeline Fiqri Nurfadillah Firli Aflahatul Jasmine Maulida luthfiana Jesika Azura Makayla Fayly W Mrr. Lukie Trianawati Muh. Daffa Akbar Putra Palsan Muh. Kholid Irhamni Maulana Muhammad Arsyad Budiman Muhammad Danang Mukti Darmawan Muhammad Razev Azmi Zaini Myita Syabrina Novia Annisa Aqsha Nurhasanah Puspa Ayu Setyaningrum Shafira Az-zahra Sophia Solihati Devi Syifa Hawasiatul Fikriyah Windy Anjeli Br Sitanggang