Monica, Yoshe T and Wiwien, Hadikurniawati Implementasi Metode Naive Bayes Classifier Untuk Klasifikasi Status Gizi Stunting Pada Balita. Jurnal Ilmiah Informatika (JIF).
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Abstract
Stunting describes a state of chronic malnutrition Bing growth and Diterima Redaksi: 16 Mei 2021 Revisi Akhir: 17 Juni 2021 Diterbitkan Online: 17 Juni 2021 KATA KUNCI Klasifikasi Stunting Naive Bayes Classifier KORESPONDENSI development since early life. This situation is represented by the height z-score for age (TB/U), which i S than minus 2 standard deviations (SD), based on WHO growth Le from the Semarang City Health Office stated that the results of monitoring nutritional staffpased on indicators of body length for age (PB/U) or height for age (TB/U) the incidence of stunting in the city of Semarang was 20.374. This research will make it easier to determine information regarding the classification of stunting nutritional status in toddlers. Stunting data will be processed and used as information regarding normal or not stunting nutritional status im toddlers. With this information, it can make it er to collect data on toddlers who experience stunting nutritional status, besides thatitcan also be used to hold counseling toy case stunting nutritional levels and prevent stunting in toddlers by using the Naive Bayes Classifier. The accuracy result of the Naive Bayes Classifier method in classifying stunting nutritional status is 889
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Faculty / Institution: | Fakultas Teknologi Informasi |
| Depositing User: | Fakultas Ekonomi |
| Date Deposited: | 11 Oct 2022 03:27 |
| Last Modified: | 11 Oct 2022 03:27 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/8864 |
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