Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Scientific Journal of Informatics
Ilham Hatta Manggala
Politeknik Harapan Bersama
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Deteksi Bahan Makanan untuk Rekomendasi Resep Masakan pada Program Diet Menggunakan Algoritma CNN Berliani Risqi Dwi Saputri; Fadiyah Desi Asmawati; Asih Rahmawati; Ilham Hatta Manggala; Muhammad Fikri Hidayattullah
Jurnal Ilmiah Informatika Vol. 9 No. 2 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i2.134-141

Abstract

The increasing need for efficient dietary planning has led to the development of automated systems for identifying food ingredients and generating suitable diet recommendations. This study focuses on implementing a Convolutional Neural Network (CNN) using the VGG16 architecture to classify food ingredients and determine appropriate diet recipes. The problem addressed is the difficulty of manually identifying various food ingredients, which can be time-consuming and error-prone, especially in large-scale dietary planning. The proposed solution integrates deep learning technology with a user-friendly application that automates the classification process and generates diet suggestions. The method involves utilizing the VGG16 model pre-trained on the ImageNet dataset. The dataset underwent preprocessing techniques, including Gaussian Blur for noise reduction, normalization, and data augmentation, to improve model generalization. The model was trained over 50 epochs, achieving a training accuracy of 96.28% and a validation accuracy of 95%. This study contributes to the development of intelligent dietary systems, providing significant benefits in enhancing user convenience, accuracy in food classification, and promoting healthier lifestyles.
Co-Authors Asih Rahmawati Berliani Risqi Dwi Saputri Fadiyah Desi Asmawati Muhammad Fikri Hidayattullah