J I M P - Jurnal Informatika Merdeka Pasuruan
Vol 6, No 3 (2021): DESEMBER

PENGUKURAN TINGKAT KEMATANGAN KOPI ARABIKA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

Anastasia L Maukar (Universitas Presiden)
fitri marisa (Unknown)
Ahmad Farhan (Unknown)
Erdian Ari Widodo (Unknown)
Ilhamsyah I (Unknown)
Inayati Sa'adah (Unknown)
Rivaldo Tito L Dasilva (Unknown)



Article Info

Publish Date
26 Dec 2021

Abstract

Coffee has an important role in improving the national economy. Coffee is also one of the fourth major export commodities in foreign countries. Assessing the level of ripeness of a good coffee can be seen depending on the type of coffee itself. Arabika coffee will start to ripen on days 310 to 350 and for Arabica coffee types it will start to look ripe at the age of 210 to 250 days. In classifying coffee maturity, the K-Nearest Neighbor (KNN) method can be used. By taking a sample image of 3 arabika coffee grains with different levels of maturity twice. The existing data will be processed using the HSV feature to assess the RGB of the coffee bean image data. Based on the test results that have been determined. An accuracy calculation has been used to measure KNN and HSV's performance in determining the ripeness of arabika coffee. The calculation results show the performance of KNN at K=1 is outstanding,, 93.33%.Keywords— Arabica Coffee, ripeness level, K-Nearest Neighbor, HSV, accuracy

Copyrights © 2021






Journal Info

Abbrev

informatika

Publisher

Subject

Computer Science & IT

Description

Jurnal Informatika Merdeka Pasuruan (JIMP) terbit 3 kali dalam satu tahun yaitu dibulan maret, agustus dan desember. Memuat tulisan ilmiah yang berhubungan dengan bidang teknologi informasi serta aplikasi teknik informatika. Jurnal JIMP terbitan berkala ini adalah hasil penelitian dari tugas akhir ...