ROSDIANA, ROSDIANA and Rini, Dian Palupi and Rodiah, Desty (2020) PERBANDINGAN PENGELOMPOKKAN STATUS GIZI PADA IBU HAMIL MENGGUNAKAN FUZZY C-MEANS DAN FUZZY SUBTRACTIVE CLUSTERING. Undergraduate thesis, Sriwijaya University.
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Abstract
Pengelompokkan status gizi pada ibu hamil berguna untuk mempermudah ibu hamil mengetahui status gizi. Penelitian ini menggunakan metode Fuzzy C-Means dan Fuzzy Subtractive Clustering dimana dilakukan perbandingan terhadap pengelompokkan status gizi pada ibu hamil. Variabel yang digunakan dalam penelitian ini adalah umur, berat badan, tinggi badan, lingkar lengan atas, usia kehamilan, dan pertambahan berat badan. Hasil pengelompokkan kemudian divalidasi menggunakan Davies Bouldin Index (DBI), Sum of Squared Error (SSE), dan Xie Beni Index (XBI). Hasil validasi cluster dibandingkan untuk mendapatkan metode yang paling sesuai dengan pengelompokkan status gizi pada ibu hamil. Penelitian dilakukan dengan variasi data yaitu 40, 80, 120, 160, dan 200 data. Pengelompokkan dengan metode Fuzzy C-Means dan Fuzzy Subtractive Clustering menghasilkan nilai validasi DBI terendah didapatkan Fuzzy Subtractive Clustering pada 200 data dengan 2 cluster, nilai validasi SSE terendah didapatkan Fuzzy C-Means pada 200 data dengan 2 cluster, dan nilai validasi XBI terendah didapatkan Fuzzy Subtractive Clustering pada 200 data dengan 10 cluster. Sehingga metode Fuzzy Subtractive Clustering dipilih sebagai metode yang paling sesuai dengan pengelompokkan status gizi pada ibu hamil.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Status Gizi Ibu Hamil, Fuzzy C-Means, Fuzzy Subtractive Clustering, Davies Bouldin Index, Sum of Squared Error, Xie Beni Index. |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T10.5-11.9 Communication of technical information |
Divisions: | 09-Faculty of Computer Science > 55201-Informatics (S1) |
Depositing User: | Users 6346 not found. |
Date Deposited: | 10 Jul 2020 05:56 |
Last Modified: | 10 Jul 2020 05:56 |
URI: | http://repository.unsri.ac.id/id/eprint/31139 |
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