Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Hajriansyah, H
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management

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

Found 1 Documents
Search

 1 
Identifikasi Jenis Rempah-Rempah Menggunakan Metode CNN Berbasis Android Hajriansyah, H
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i1.558

Abstract

In Indonesia, spices are one of the products of natural wealth that is owned and has been recognized by the world. Spices are parts of plants that have many benefits not only as a complement to spices in cooking, but are also used to boost the immune system. Because there are many types of spices in Indonesia, a system is needed to help people, especially millennials or generation Z, know the various types of spices precisely and clearly. The process of identifying spices is done by using the accuracy calculation on the system using a dataset in the form of images totaling 2700 images and 18 types of spices. The process of identifying spices is generated using the Convolutional Neural Network (CNN) method with the tensorflow module which is used for the training process and data testing. The results of the accuracy experiment on spices produce an accuracy value of recognizing the type of spices by 75%
Co-Authors