Ardianti, Cahyati (2019) IMPLEMENTASI METODE FUZZY C-MEANS UNTUK KLASIFIKASI STATUS GIZI PADA BALITA BERDASARKAN INDEKS ANTROPOMETRI. Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
Children under five years old (toddlers) are a group that is vulnerable to health and nutrition problems. Golden Age (0-5 years) is the main growth and development period for toddlers. Fulfillment of adequate nutrition will help the optimal growth process. Parents or instructors usually only do weight measurements without testing nutritional status. Therefore, it is necessary to design a System Implementation of Fuzzy C-Means Method for Nutrition Status Classification in Toddlers Based on Anthropometric Index that can determine the nutritional status of children under five quickly and accurately. The nutritional status of children under five can be determined based on the anthropometric index. The anthropometric index used was age, height and weight. Nutritional status assessment is carried out using the body mass index / age index (BMI / U) with the nutritional status categories very thin, thin, normal, and fat. The nutritional status classification of toddlers is done through several stages, namely: the data used are 100 training data and 30 test data, nutritional status in training data is calculated using IMT / U calculations, test data is normalized using Max-Min normalization, nutritional status classification is calculated using the method Fuzzy C-Means, analysis of output results, then obtained an accuracy of 73% (depending on the data to be used as test data). Keywords: Nutritional Status, Anthropometric Index, Fuzzy C-Means.
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 28 Oct 2019 00:19 |
| Last Modified: | 28 Oct 2019 00:19 |
| URI: | http://eprints.uty.ac.id/id/eprint/3582 |
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