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Items where Author is "Muslikh, Ahmad Rofiqul"
Article
Setiadi, De Rosal Ignatius Moses and Warto, Warto and Muslikh, Ahmad Rofiqul and Nugroho, Kristiawan and Safriandono, Achmad Nuruddin (2025) Aspect-Based Sentiment Analysis on E-commerce Reviews using BiGRU and Bi-Directional Attention Flow. Journal of Computing Theories and Applications, 2 (4). pp. 470-480. ISSN 3024-9104
Setiadi, De Rosal Ignatius Moses and Muslikh, Ahmad Rofiqul and Iriananda, Syahroni Wahyu and Warto, Warto and Gondohanindijo, Jutono and Ojugo, Arnold Adimabua (2024) Outlier Detection Using Gaussian Mixture Model Clustering to Optimize XGBoost for Credit Approval Prediction. Journal of Computing Theories and Applications, 2 (2). pp. 244-255. ISSN 3024-9104
Setiadi, De Rosal Ignatius Moses and Nugroho, Kristiawan and Muslikh, Ahmad Rofiqul and Iriananda, Syahroni Wahyu and Ojugo, Arnold Adimabua (2024) Integrating SMOTE-Tomek and Fusion Learning with XGBoost Meta-Learner for Robust Diabetes Recognition. Journal of Future Artificial Intelligence and Technologies, 1 (1). pp. 23-38. ISSN 3048-3719
Firnando, Fadel Muhamad and Setiadi, De Rosal Ignatius Moses and Muslikh, Ahmad Rofiqul and Iriananda, Syahroni Wahyu (2024) Analyzing InceptionV3 and InceptionResNetV2 with Data Augmentation for Rice Leaf Disease Classification. Journal of Future Artificial Intelligence and Technologies, 1 (1). pp. 1-11. ISSN 3048-3719
Wijaya, Nantalira Niar and Setiadi, De Rosal Ignatius Moses and Muslikh, Ahmad Rofiqul (2024) Music-Genre Classification using Bidirectional Long Short-Term Memory and Mel-Frequency Cepstral Coefficients. Journal of Computing Theories and Applications, 1 (3). pp. 243-256. ISSN 3024-9104
Mustofa, Fachrul and Safriandono, Achmad Nuruddin and Muslikh, Ahmad Rofiqul and Setiadi, De Rosal Ignatius Moses (2023) Dataset and Feature Analysis for Diabetes Mellitus Classification using Random Forest. Journal of Computing Theories and Applications, 1 (1). pp. 41-48. ISSN 3024-9104
Imanulloh, Satrio Bagus and Muslikh, Ahmad Rofiqul and Setiadi, De Rosal Ignatius Moses (2023) Plant Diseases Classification based Leaves Image using Convolutional Neural Network. Journal of Computing Theories and Applications, 1 (1). pp. 1-10. ISSN 3024-9104