Kurniawati, Aulia Arief (2017) Klasifikasi Status Gizi Lansia Menggunakan Metode Naive Bayes Classifier. Undergraduate thesis, UNIVERSITAS MUHAMMADIYAH JEMBER.
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Abstract
Malnutrisi dapat terjadi karena kekurangan gizi maupun kelebihan gizi. Status gizi dapat ditentukan melalui pemeriksaan laboratorium maupun secara antropometri. Alat ukur antropometri menjadi sangat berperan untuk penentuan status gizi tersebut. Sistem analis di RSUD dr. Soedono Madiun masih menerapkan perhitungan secara manual dalam penentuan status gizi lansia. Naive Bayesian Classifier (NBC) bertujuan untuk melakukan klasifikasi data pada klas tertentu. Algoritma Naive Bayesian Classifier akan diaplikasikan dalam penelitian ini untuk menentukan status gizi lansia. Hasil penelitian menunjukan NBC dapat memecahkan masalah dengan cukup baik. Hasil penelitian menunjukan kinerja sistem sebesar 94%.
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | klasifikasi, Naive Bayesian Classifier (NBC), nutrisi | ||||||
| Subjects: | 000 Computer Science, Information, & General Works > 004 Data Processing, Computer Science | ||||||
| Divisions: | Faculty of Engineering > Department of Informatics Engineering (S1) | ||||||
| Department: | ["eprint_fieldopt_department_KODEPRODI55201#TEKNIKINFORMATIKA" not defined] | ||||||
| Depositing User: | Hendri UF | ||||||
| Contributors: |
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| Date Deposited: | 23 Aug 2018 03:18 | ||||||
| Last Modified: | 12 Sep 2019 10:46 | ||||||
| URI: | http://repository.unmuhjember.ac.id/id/eprint/596 |
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