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Online ISSN : 2656-8624
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1 - 10 of 10 items

Hybrid Feature Selection and Balancing Data Approach for Improved Software Defect Prediction

DOI : 10.35882/ijeeemi.v7i2.67
Muhamad Michael Febrian (1), Setyo Wahyu Saputro (2), Triando Hamonangan Saragih (3), Friska Abadi (4), Rudy Herteno (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
232-244
Abstract : 2706
pdf : 627
DOI : 10.35882/ijeeemi.v7i2.67

Comparative Study of Filter, Wrapper, and Hybrid Feature Selection Using Tree-Based Classifiers for Software Defect Prediction

DOI : 10.35882/ijeeemi.v8i1.294
Rahmayanti Rahmayanti (1), Rudy Herteno (2), Setyo Wahyu Saputro (3), Triando Hamonangan Saragih (4), Friska Abadi (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
1-16
Abstract : 562
pdf : 346
DOI : 10.35882/ijeeemi.v8i1.294

Analysis of the Effect of Feature Extraction on Sentiment Analysis using BiLSTM: Monkeypox Case Study on X/Twitter

DOI : 10.35882/ijeeemi.v7i2.73
Noryasminda (1), Triando Hamonangan Saragih (2), Rudy Herteno (3), Mohammad Reza Faisal (4), Andi Farmadi (5)
(1) Lambung Mangkurat University, Indonesia ,
(2) Lambung Mangkurat University, Indonesia ,
(3) Lambung Mangkurat University, Indonesia ,
(4) Lambung Mangkurat University, Indonesia ,
(5) Lambung Mangkurat University, Indonesia
344-357
Abstract : 1061
pdf : 436
DOI : 10.35882/ijeeemi.v7i2.73

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 : 1209
pdf : 589
DOI : 10.35882/ijeeemi.v7i3.109

Classification of brain tumor based on shape and texture features and machine learning

DOI : 10.35882/27236g49
M. Alfi Rizki (1), Mohammad Reza Faisal (2), Andi Farmadi (3), Triando Hamonangan Saragih (4), Dodon Turianto Nugrahadi (5), Adam Mukharil Bachtiar (6), Ryan Rhiveldi Keswani (7)
(1) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Kalimantan, Indonesia, Indonesia ,
(2) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Kalimantan, Indonesia, Indonesia ,
(3) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Kalimantan, 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 Informatics, Universitas Komputer Indonesia, Bandung, Jawa Barat, Indonesia; School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi Shi, Ishikawa, Japan, Japan ,
(7) Department of Neurosurgery, Indonesia Brain Center Hospital, Jakarta, Indonesia, Indonesia
240-251
Abstract : 851
pdf : 175
DOI : 10.35882/27236g49

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 : 1618
pdf : 636
DOI : 10.35882/ijeeemi.v7i2.77

The Impactness of SMOTE as Imbalance Class Handling for Myocardial Infarction Complication Classification using Machine Learning Approach with Data Imputation and Hyperparameter

DOI : 10.35882/ijeeemi.v6i4.13
Ahmad Tajali (1), Triando Hamonangan Saragih (2), Muhammad Itqan Mazdadi (3), Irwan Budiman (4), Andi Farmadi (5)
(1) Lambung Mangkurat University, 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
227-239
Abstract : 1424
pdf : 515
DOI : 10.35882/ijeeemi.v6i4.13

Effectiveness of SMOTE in Enhancing Adult Autism Spectrum Disorder Diagnosis Predictive Performance With Missforest Imputation And Random Forest

DOI : 10.35882/ijeeemi.v7i2.66
Muhammad Hafizh Musyaffa (1), Triando Hamonangan Saragih (2), Dodon Turianto Nugrahadi (3), Dwi Kartini (4), Andi Farmadi (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
270-280
Abstract : 1344
pdf : 498
DOI : 10.35882/ijeeemi.v7i2.66

Application of Adaboost Algorithm with SMOTE and Optuna Techniques in Sleep Disorder Classification

DOI : 10.35882/ijeeemi.v7i2.99
Muhammad Naufal Anshory (1), Muhammad Itqan Mazdadi (2), Triando Hamonangan Saragih (3), Irwan Budiman (4), Setyo Wahyu Saputro (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
415-426
Abstract : 1058
pdf : 354
DOI : 10.35882/ijeeemi.v7i2.99

Machine Learning Implementation for Sentiment Analysis on X/Twitter: Case Study of Class Of Champions Event in Indonesia

DOI : 10.35882/ijeeemi.v7i2.81
Rini Hafizah (1), Triando Hamonangan Saragih (2), Muliadi Muliadi (3), Fatma Indriani (4), Muhammad Itqan Mazdadi (5)
(1) Lambung Mangkurat University, Indonesia ,
(2) Lambung Mangkurat University, Indonesia ,
(3) Lambung Mangkurat University, Indonesia ,
(4) Lambung Mangkurat University, Indonesia ,
(5) Lambung Mangkurat University, Indonesia
370-386
Abstract : 1843
pdf : 726
DOI : 10.35882/ijeeemi.v7i2.81
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Acceptance rate: 61.24%
Time to First Decision: 2 week
Review Time: 4-8 weeks
Publication Time: 2-4 weeks
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