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1 - 8 of 8 items

Comparison Between K-Fold Cross Validation And Percentage Split In Decision Tree Algorithms For Anemia Classification

DOI : 10.35882/ijeeemi.v8i1.315
Nanda Putri Rahmawati (1), Irwan Budiman (2), Muhammad Itqan Mazdadi (3), Andi Farmadi (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
105-114
Abstract : 779
pdf : 892

Improving Diabetes Prediction Using Feedforward Neural Network with Adam Optimization and SMOTE Technique

DOI : 10.35882/ijeeemi.v7i3.127
Arizha Wijaya Kusuma (1), Muhammad Itqan Mazdadi (2), Dwi Kartini (3), Andi Farmadi (4), Fatma Indriani (5), Chandrasekaran P. (6)
(1) Department of Computer Science, Lambung Mangkurat University, South Kalimantan, Indonesia, Indonesia ,
(2) Department of Computer Science, Lambung Mangkurat University, South Kalimantan, Indonesia, Indonesia ,
(3) Department of Computer Science, Lambung Mangkurat University, South Kalimantan, Indonesia, Indonesia ,
(4) Department of Computer Science, Lambung Mangkurat University, South Kalimantan, Indonesia, Indonesia ,
(5) Department of Computer Science, Lambung Mangkurat University, South Kalimantan, Indonesia, Indonesia ,
(6) K.S. Rangasamy College of Arts and Science (Autonomous), Tiruchengode, India, India
539-548
Abstract : 1270
pdf : 781

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 : 993
pdf : 1377

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 : 1674
pdf : 1020

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 : 1337
pdf : 989

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 : 1166
pdf : 601

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 : 75
pdf : 120

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 : 1784
pdf : 927
1 - 8 of 8 items