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Enhancing Software Defect Prediction: HHO-Based Wrapper Feature Selection with Ensemble Methods

DOI : 10.35882/f2140043
Achmad Fauzan Luthfi (1), Rudy Herteno (2), Friska Abadi (3), Radityo Adi Nugroho (4), Muhammad Itqan Mazdadi (5), Vijay Anant Athavale (6)
(1) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(2) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(3) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(4) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(5) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(6) Department of Computer Science and Engineering, Walchand Institute of Technology, Solapur, Maharashtra, India, India
188-202
Abstract : 1588
pdf : 1047

An Empirical Study of Cross-Project and Within-Project Performance in Software Defect Prediction Models Using Tree-Based and Boosting Classifiers

DOI : 10.35882/ijeeemi.v7i3.95
Raidra Zeniananto (1), Rudy Herteno (2), Radityo Adi Nugroho (3), Andi Farmadi (4), Setyo Wahyu Saputro (5)
(1) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(2) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(3) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(4) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia ,
(5) Department of Computer Science, Lambung Mangkurat University, Kalimantan Selatan, Indonesia, Indonesia
514-525
Abstract : 1002
pdf : 1500

Comparative Evaluation of TabKANet with Oversampling and Feature Selection Ablation for Software Defect Prediction

DOI : 10.35882/ijeeemi.v8i3.351
Muhammad Faza Azhiman Saputra (1), Setyo Wahyu Saputro (2), Mohammad Reza Faisal (3), Radityo Adi Nugroho (4), Andi Farmadi (5)
(1) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(2) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(3) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(4) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(5) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia
351-364
Abstract : 106
pdf : 213

Metaheuristic-Based Hyperparameter Optimization Analysis of Deep Neural Network for Cross-Project Defect Prediction in Mobile Applications

DOI : 10.35882/ijeeemi.v8i2.340
Maulana Abdul Rahman (1), Rudy Herteno (2), Radityo Adi Nugroho (3), Friska Abadi (4), Setyo Wahyu Saputro (5)
(1) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia , Indonesia, Indonesia ,
(2) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(3) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(4) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(5) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia
248-261
Abstract : 365
pdf : 599

Implementation of the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) Method to Address Class Imbalance in Alzheimer’s Disease Magnetic Resonance Imaging (MRI) Datasets

DOI : 10.35882/ijeeemi.v7i3.109
Muhammad Faiq Alamudin (1), Muhammad Itqan Mazdadi (2), Radityo Adi Nugroho (3), Triando Hamonangan Saragih (4), Muliadi Muliadi (5), Vijay Anant Athavale (6)
(1) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(2) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(3) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(4) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(5) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(6) Walchand Institute of Technology, Solapur, India, India
526-538
Abstract : 1620
pdf : 1718

Evaluation of the Impact of SMOTEENN on Monkeypox Case Classification Performance Using Boosting Algorithms

DOI : 10.35882/ijeeemi.v7i2.77
Laifansan Siena (1), Triando Hamonangan Saragih (2), Radityo Adi Nugroho (3), Dwi Kartini (4), Muliadi (5), Wahyu Caesarendra (6)
(1) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(2) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(3) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(4) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(5) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(6) Department of Mechanical and Mechatronics Engineering, Faculty of Engineering and Science, Curtin University Malaysia, Sarawak, Malaysia, Malaysia
203-220
Abstract : 1898
pdf : 1196

Implementation of Copeland Method on Wrapper-Based Feature Selection Using Random Forest For Software Defect Prediction

DOI : 10.35882/2pgffc67
Agustia Kuspita Aryanti (1), Rudy Herteno (2), Fatma Indriani (3), Radityo Adi Nugroho (4), Muliadi Muliadi (5)
(1) Universitas Lambung Mangkurat, Indonesia ,
(2) Universitas Lambung Mangkurat, Indonesia ,
(3) Universitas Lambung Mangkurat, Indonesia ,
(4) Universitas Lambung Mangkurat, Indonesia ,
(5) Universitas Lambung Mangkurat, Indonesia
90-101
Abstract : 1471
pdf : 840
1 - 7 of 7 items