Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Arya Danu Setyadi
Unknown Affiliation
Computer Science & IT

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

Found 1 Documents
Search

 1 
KLASIFIKASI RAS MANUSIA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK BERBASIS TELEGRAM BOT Arya Danu Setyadi
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 2 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i2.4814

Abstract

There are four major races in human populations: Caucasian, Mongoloid, Negroid, and Australoid. The lack of knowledge about human races has become a problem in recent times. Therefore, this research was conducted to increase public knowledge about the different races found in humans. The research used Convolutional Neural Network (CNN) and a 50-layer architecture called ResNet-50, also known as a Residual Network, classification model are using Chat Bot feature in Telegram App.. The trained CNN model was tested with a test dataset and resulted in an accuracy score of 84%. The Recall score was 84%, and the Precision score was 85%.
Co-Authors