Buffer Informatika
Vol 9 No 2 (2023)

RANCANG BANGUN APLIKASI KLASIFIKASI TINGKAT KEMATANGAN KOPI SANGRAI MELALUI CITRA DIGITAL MENGGUNAKAN ALGORITMA CNN BERBASIS ANDROID

nurhayati, yati (Unknown)
Gina Supratman, Sherly (Unknown)
Ramadhan, Muhamad Alfri (Unknown)



Article Info

Publish Date
31 Oct 2023

Abstract

In "Kopi Selamat Sore" shops there are problems in determining the level of maturity of roasted coffee because there is only 1 roaster so errors often occur in producing the level of coffee. So you need a tool that allows you to determine the level of maturity of roasted coffee precisely. The result of this research is an Android-based roasted coffee maturity level classification application. This application was created in the form of an application on an Android mobile device to make it easier for users so that they can be used whenever they want. This research uses the CNN (Convolutional Neural Network) algorithm with the CNN architecture, namely LeNet5 and the ADAM optimization function. Based on the UAT of 87.85%, it can be concluded that the application can determine the maturity level of coffee.

Copyrights © 2023






Journal Info

Abbrev

buffer

Publisher

Subject

Computer Science & IT

Description

BUFFER INFORMATIKA adalah jurnal peer-review tentang Informasi dan Teknologi yang mencakup semua cabang IT dan sub-disiplin ilmu termasuk Algoritma, Jaringan Komputer, Game, Rekayasa Perangkat Lunak, Aplikasi Mobile, Kecerdasan Buatan, Image Processing, Grafik Komputer, Data Maining dan Informasi ...