OKTAL : Jurnal Ilmu Komputer dan Sains
Vol 3 No 10 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains

LITERATUR REVIEW: ANALISIS KLASIFIKASI PENYAKIT TANAMAN KEDELAI MENGGUNAKAN DECISION TREE

Akhmad Alvi Sahri (Unknown)
Aly Furqaan Abdurrafi (Unknown)
Calvin Maulana Ersa (Unknown)
Fitra Rio Ramadan (Unknown)
Perani Rosyani (Unknown)

Article Info

Publish Date
17 Dec 2024

Abstract

This study aims to conduct a comprehensive review of the application of the decision tree algorithm in classifying diseases in soybean plants. The decision tree algorithm was chosen for its ability to produce interpretable models and its efficiency in handling large and complex datasets. Through an in-depth analysis of existing studies, this research is expected to provide further insight into the use of decision trees in agriculture, particularly in diagnosing diseases in soybean plants. Additionally, this review will explore recent research trends, challenges faced, and potential future developments in this field.

Copyrights © 2024




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
OKTAL : Jurnal Ilmu Komputer dan Sains
Website

Abbrev

oktal

Publisher

CV. Multi Kreasi Media

Subject

Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

Description

1. Komputasi Lunak, 2. Sistem Cerdas Terdistribusi, Manajemen Basis Data, dan Pengambilan Informasi, 3. Komputasi evolusioner dan komputasi DNA/seluler/molekuler, 4. Deteksi kesalahan, 5. Sistem Energi Hijau dan Terbarukan, 6. Antarmuka Manusia, 7. Interaksi Manusia-Komputer, 8. Hibrida dan ...