Jurnal Ilmu Komputer dan Sistem Informasi
Vol. 3 No. 2 (2024): Mei 2024

leman, D Deteksi Penyakit Pada Daun Pisang dengan Penggunakan Algoritma Local Binary Pattern Dan K-Nearest Neighbor

Dedi Leman (Unknown)
Obedh Eliezer Sidauruk (Unknown)



Article Info

Publish Date
30 May 2024

Abstract

Bananas are a type of fruit that has high production and is liked by many people. Mango productivity fluctuates from year to year. This is due to fluctuations in harvest area, plants that have not produced optimally, climate disturbances and attacks by various pests and diseases which are factors inhibiting banana growth and production in Indonesia. This identification will take a relatively long time and produce various diseases on banana leaves because humans have visual limitations in identifying, the level of fatigue and differences in opinion about diseases on banana leaves. The process of recognizing leaf patterns can be done by recognizing the characteristics of leaf structures such as leaf shape and texture. The method used in this research is Local Binary Pattern, an algorithm that can be used to classify based on images. In this study, 4 types of banana leaf diseases were used. Based on the results of the accuracy test, an accuracy value of 90.5% was obtained for the disease detection process on banana leaves for 10 pieces of data.

Copyrights © 2024






Journal Info

Abbrev

jirsi

Publisher

Subject

Computer Science & IT Library & Information Science

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) dikelola secara profesional oleh LKP UNITY Academy dalam membantu para akademisi, peneliti dan praktisi untuk menyebarkan hasil penelitiannya dalam panduan Kemendikbud Ristek Dikti. Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) Adalah sebuah ...