Vol. 3 No. 1 (2026): June 2026
The fourth edition of Journal of Artificial Intelligence (Vol. 3, No. 1, June 2026) presents five research articles that explore the application of Artificial Intelligence (AI) and machine learning across various fields, including finance, e-commerce, healthcare, agriculture, and meteorology. The topics covered include predicting potential deposit customers using CatBoost, comparing the performance of XGBoost, LightGBM, and CatBoost for customer churn prediction, classifying eye diseases using VGG-19 and TensorFlow, detecting shallot leaf diseases using CNN and SVM, and forecasting rainfall using an Attention-Based LSTM model.
Published:
30-06-2026
Articles
-
Predicting Potential Deposit Customers Using CatBoost with Feature Selection and Hyperparameter Optimization
Jiawei Han (
United States)
,
Zainal Arifin
(
Indonesia)
1-17
Abstract View: 46, 
Pdf Download: 111
-
Comparison of XGBoost LightGBM and CatBoost for Online Store Customer Churn Prediction
Fuadz Hasyim (Indonesia)
18-30 Abstract View: 53, Pdf Download: 83
-
Eye Disease Classification Using VGG-19 and TensorFlow on Fundus Images
Luthfi Nurul Huda (Indonesia)
,
Abdelghani Dahou
(
Algeria)
31-42 Abstract View: 37, Pdf Download: 63
-
Shallot Leaf Disease Detection Using Convolutional Neural Network and Support Vector Machine
Rania Majdoubi (
Morocco)
,
Beny Yusman
(Indonesia)
43-55 Abstract View: 46, Pdf Download: 79
-
Rainfall Prediction in East Java Using Attention-Based LSTM
Beny Yusman (Indonesia)
56-66 Abstract View: 38, Pdf Download: 100
Editorial Team 
Reviewers 
Focus & Scope 
Section Policies 
Peer Review Process 
Publication Frequency 
Screening Plagiarism 
Article Processing Charge 
Author Guidelines 
Digital Archiving 
Funding and Support Service 
