J-SAKTI (Jurnal Sains Komputer dan Informatika)
Vol 7, No 1 (2023): EDISI MARET

Deteksi Jenis Rempah-Rempah Menggunakan Metode Convolutional Neural Network Secara Real Time

Mellynia Sanjaya (Universitas Stikubank Semarang, Indonesia)
Eddy Nurraharjo (Universitas Stikubank Semarang, Indonesia)

Article Info

Publish Date
31 Mar 2023

Abstract

Spices are one of the products of natural wealth owned by Indonesia which has been recognized by the world. Spices are part of plants that have benefits not only as a complement to spices in cooking, but are also used to boost the immune system of living things. Due to the many types of spices that exist in Indonesia, a system is needed to help the community, especially millennial children, to know the various types of spices correctly and clearly. The spice detection process is carried out using an accuracy calculation on the system using a dataset in the form of 1800 images and 12 types of spices. The classification process for spices is generated using the Convolutional Neural Network (CNN) method with the tensorflow module used for the training and testing process of data. The results of the accuracy experiment on spices resulted in an accuracy value of recognizing the type of spice of 60%.

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Journal Info
J-SAKTI (Jurnal Sains Komputer dan Informatika)
Website

Abbrev

jsakti

Publisher

Sekolah Tinggi Ilmu Komputer Tunas Bangsa

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

Description

J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun ...