Prediksi Kasus Balita Stunting Metode Jaringan Syaraf Tiruan

Wiraharlan, Lalu Achmad (2021) Prediksi Kasus Balita Stunting Metode Jaringan Syaraf Tiruan. Tugas Akhir thesis, University of Technology Yogyakarta.

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Abstract

ABSTRACT Cases of stunting toddlers is one of the main nutritional problems faced by Indonesia (Nutrition Status Monitoring, Directorate General of Public Health). The main objective of national development is the improvement of the quality of human resources (SDM) that is carried out sustainably. In the effort to countermeasures and prevention through technology based on artificial intelligence, it is expected to be able to predict stunting and unstunting toddlers. The prediction of using a neural network is one of the methods that are quite widely used by experts in the field of artificial intelligence so that it is sophisticated enough to make a case prediction. Keywords: Stunting, Artificial Intelligence, Neural Networks, Multi-Layer Perceptron, Data Mining.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 09 Apr 2021 03:13
Last Modified: 09 Apr 2021 03:13
URI: http://eprints.uty.ac.id/id/eprint/7359

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