Kartika Ananda Putri, . (2021) PREDIKSI KOMPOSISI BAHAN RESEP AGAR-AGAR BUAH PADA MAKANAN PENDAMPING ASI (MPASI) MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATIO. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (9kB) |
|
Text
AWAL.pdf Download (831kB) |
|
Text
BAB 1.pdf Download (4MB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (4MB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (4MB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (4MB) |
|
Text
BAB 5.pdf Download (4MB) |
|
Text
DAFTAR PUSTAKA.pdf Download (4MB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (4MB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (4MB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository UPNVJ Only Download (1MB) |
Abstract
Complementary food for breast milk is nutritional intake to support the needs of infants and toddlers. Malnutrition in infants can lead to impaired growth and mental development, decreased intelligence, and can even be a cause of death. This is one of the problems that occurs in Indonesia and to improve infant nutrition problems is by predicting the composition of food ingredients using backpropagation neural networks, so that it can adjust the nutritional needs of babies. This study uses primary data, namely the composition of the ingredients and the value of macronutrients in the fruit jelly recipe. Based on trial and error with a combination of parameters such as a hidden layer of 5 neurons, an activation function, namely softplus, epochs of 90,000 iterations and a learning rate of 1. performance MSE training of 0,00619 and MSE testing of 0,00806.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil : 1710511064] [Pembimbing 1 : Didit Widyanto] [Pembimbing 2 : Mayanda Mega Santoni] [Pengujian 1 : Iin Ernawati] [Pengujian 2 : Nurul Chamidah] |
| Uncontrolled Keywords: | infant nutrition, complementary feeding, backpropagation |
| Subjects: | R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Kartika Ananda Putri |
| Date Deposited: | 21 Dec 2021 07:52 |
| Last Modified: | 21 Dec 2021 07:52 |
| URI: | http://repository.upnvj.ac.id/id/eprint/12484 |
Actions (login required)
 |
View Item |