Analisis Nutrisi Makanan Berbasis Mobile Menggunakan CNN dan Artificial Intelligence

Rahmani, Husain
Mulyana, Dadang Iskandar

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Vol 10 No 2 (2026): APRIL 2026

The development of Artificial Intelligence (AI) technology has opened up new opportunities in various fields, including health and nutrition. This research aims to develop a mobile application that is able to analyze the nutritional composition of food automatically using the Convolutional Neraul Network (CNN) method. This application is designed to assist users in monitoring nutritional intake through the recognition of food images taken using a mobile device camera. The methodology used includes collecting food image datasets, training CNN models integrated into mobile platforms so that they can be used in real-time and user-friendly. Tests were conducted to measure the accuracy of food classification and the accuracy of estimating its nutritional composition.