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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 : 1752

pdf : 692

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 : 1629

pdf : 696

DOI : 10.35882/ijeeemi.v7i2.66

Optimization of Random Forest for Outpatient Cancellation Prediction Using PSO and Behavioral Feature Engineering

DOI : 10.35882/ijeeemi.v8i3.348

Azmi Abiyyu Dzaky ⁽¹⁾, Farrikh Alzami ⁽²⁾, Pujiono Pujiono ⁽³⁾

(1) Department Informatics and Engineering, Faculty of Science, Universitas Dian Nuswantoro, Semarang, Indonesia, Indonesia ,

(2) Department Informatics and Engineering, Faculty of Science, Universitas Dian Nuswantoro, Semarang, Indonesia, Indonesia ,

(3) Department Informatics and Engineering, Faculty of Science, Universitas Dian Nuswantoro, Semarang, Indonesia, Indonesia

317-334

Abstract : 55

pdf : 58

DOI : 10.35882/ijeeemi.v8i3.348

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 : 1420

pdf : 531

DOI : 10.35882/2pgffc67

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 : 969

pdf : 912

DOI : 10.35882/ijeeemi.v7i3.95

Selection EEG Electrode Positions for Epilepsy Seizure Detection Using Total Power Spectrum and Machine Learning

DOI : 10.35882/ijeeemi.v6i4.9

Khilda Afifah ⁽¹⁾, Istiqomah Istiqomah ⁽²⁾, Achamd Rizal ⁽³⁾, Ramdhan Nugraha ⁽⁴⁾

(1) The University Center of Excellence Intelligence Sensing-IoT, Telkom University, Bandung 40257, Indonesia, Indonesia ,

(2) The University Center of Excellence Intelligence Sensing-IoT, Telkom University, Bandung 40257, Indonesia; School of Electrical Engineering, Telkom University, Bandung 40257, Indonesia, Indonesia ,

(3) School of Electrical Engineering, Telkom University, Bandung 40257, Indonesia, Indonesia ,

(4) Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi-39177, South Korea, Korea, Democratic People's Republic of

124–129

Abstract : 949

pdf : 352

DOI : 10.35882/ijeeemi.v6i4.9

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 : 2201

pdf : 1540

DOI : 10.35882/ijeeemi.v7i2.81

Analysis of the Application of Machine Learning Algorithms for Classification of Toddler Nutritional Status Based on Anthropometric Data

DOI : 10.35882/ijeeemi.v7i4.110

Yuni Yamasari ⁽¹⁾, Esti Yogiyanti ⁽²⁾, Ervin Yohannes ⁽³⁾

(1) Departement of Informatics Engineering, Universitas Negeri Surabaya, Surabaya, Indonesia, Indonesia ,

(2) Departement of Informatics Engineering, Universitas Negeri Surabaya, Surabaya, Indonesia, Indonesia ,

(3) Departement of Informatics Engineering, Universitas Negeri Surabaya, Surabaya, Indonesia, Indonesia

594-604

Abstract : 698

pdf : 617

DOI : 10.35882/ijeeemi.v7i4.110

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 : 1557

pdf : 606

DOI : 10.35882/f2140043

A Two-Stage Hybrid Oversampling and Ensemble Learning Framework for Improved Type 2 Diabetes Mellitus Classification

DOI : 10.35882/ijeeemi.v8i2.308

Siti Fatimah Nurdiah Permatasari ⁽¹⁾, Ermatita Ermatita ⁽²⁾

(1) Department of Computer Science, Universitas Sriwijaya, Palembang, Indonesia , Indonesia ,

(2) Department of Computer Science, Universitas Sriwijaya, Palembang, Indonesia , Indonesia

202-217

Abstract : 357

pdf : 157

DOI : 10.35882/ijeeemi.v8i2.308

Hybrid features to classify lung tumor using machine learning

DOI : 10.35882/ijeeemi.v7i2.101

Rizki Dwi Rahmawan ⁽¹⁾, Umi Salamah ⁽²⁾, Ery Permana Yudha ⁽³⁾

(1) Universitas Sebelas Maret, Indonesia ,

(2) Universitas Sebelas Maret, Indonesia ,

(3) Universitas Sebelas Maret, Indonesia

447-460

Abstract : 818

pdf : 396

DOI : 10.35882/ijeeemi.v7i2.101

The Effect of Smote-Tomek on the Classification of Chronic Diseases Based on Health and Lifestyle Data

DOI : 10.35882/ijeeemi.v8i1.324

Muhammad Adika Riswanda ⁽¹⁾, Friska Abadi ⁽²⁾, Muhammad Itqan Mazdadi ⁽³⁾, Mohammad Reza Faisal ⁽⁴⁾, Rudy Herteno ⁽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

130-140

Abstract : 594

pdf : 335

DOI : 10.35882/ijeeemi.v8i1.324

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 : 1142

pdf : 311

DOI : 10.35882/27236g49

EEG-Based Emotion Classification in Response to Humorous, Sad, and Fearful Video Stimuli Using LSTM Networks: A Comparative Study with Classical Machine Learning Models

DOI : 10.35882/ijeeemi.v7i2.100

Muhamad Agung Suhendra ⁽¹⁾, Tedi Sumardi ⁽²⁾, Iqbal Robiyana ⁽³⁾, Nurizati Nurizati ⁽⁴⁾

(1) Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia; Cognitive Science, Instrumentation and Control (CIC) Laboratory, Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia, Indonesia ,

(2) Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia; Cognitive Science, Instrumentation and Control (CIC) Laboratory, Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia, Indonesia ,

(3) Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia; Cognitive Science, Instrumentation and Control (CIC) Laboratory, Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia, Indonesia ,

(4) Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia; Cognitive Science, Instrumentation and Control (CIC) Laboratory, Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia, Indonesia

427-437

Abstract : 1256

pdf : 510

DOI : 10.35882/ijeeemi.v7i2.100

Real-Time, Multi-Command Drone Navigation Using a Consumer-Grade EEG-Based SSVEP BCI

DOI : 10.35882/ijeeemi.v8i1.295

Anderias Eko Wijaya ⁽¹⁾, Nurizati Nurizati ⁽²⁾, Rian Hermawan ⁽³⁾, Muhammad Agung Suhendra ⁽⁴⁾

(1) Department of Informatics Engineering, Faculty of Engineering, Universitas Mandiri, Subang, Indonesia., Indonesia ,

(2) Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia., Indonesia ,

(3) Department of Informatics Engineering, Faculty of Engineering, Universitas Mandiri, Subang, Indonesia., Indonesia ,

(4) Department of Physics, Faculty of Science, Universitas Mandiri, Subang, Indonesia., Indonesia

17-30

Abstract : 1305

pdf : 437

DOI : 10.35882/ijeeemi.v8i1.295

Combinations of Optimization Method and Balancing Technique in Hypertension Classification with Machine Learning

DOI : 10.35882/ijeeemi.v7i2.86

Natalia Intan Suryani Lu'o ⁽¹⁾, Daniel Febrian Sengkey ⁽²⁾, Victor Florencia Ferdinand Joseph ⁽³⁾

(1) Department of Electrical Engineering, Faculty of Engineering, Universitas Sam Ratulangi, Manado, Indonesia, Indonesia ,

(2) Department of Electrical Engineering, Faculty of Engineering, Universitas Sam Ratulangi, Indonesia ,

(3) Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Sam Ratulangi, Manado, Indonesia, Indonesia

387-400

Abstract : 1160

pdf : 524

DOI : 10.35882/ijeeemi.v7i2.86

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 : 834

pdf : 1972

DOI : 10.35882/ijeeemi.v8i1.294

Hyperparameter optimization of breast ultrasound image classification models using ant colony optimization based on texture features

DOI : 10.35882/ijeeemi.v7i4.266

Ahmad Fauzi ⁽¹⁾, Lukmanda Evan Lubis ⁽²⁾, Raju Wandira ⁽³⁾, Syarto Musthofa ⁽⁴⁾

(1) Information Systems Study Program, UIN Imam Bonjol Padang, Padang, Indonesia, Indonesia ,

(2) Departement of Physics, Universitas Indonesia, Depok, Indonesia, Indonesia ,

(3) Information Systems Study Program, UIN Imam Bonjol Padang, Padang, Indonesia, Indonesia ,

(4) Mathematics Study Program, UIN Imam Bonjol Padang, Padang, Indonesia, Indonesia

673-686

Abstract : 1289

pdf : 337

DOI : 10.35882/ijeeemi.v7i4.266

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

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

Optimization of Random Forest for Outpatient Cancellation Prediction Using PSO and Behavioral Feature Engineering

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

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

Selection EEG Electrode Positions for Epilepsy Seizure Detection Using Total Power Spectrum and Machine Learning

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

Analysis of the Application of Machine Learning Algorithms for Classification of Toddler Nutritional Status Based on Anthropometric Data

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

A Two-Stage Hybrid Oversampling and Ensemble Learning Framework for Improved Type 2 Diabetes Mellitus Classification

Hybrid features to classify lung tumor using machine learning

The Effect of Smote-Tomek on the Classification of Chronic Diseases Based on Health and Lifestyle Data

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

EEG-Based Emotion Classification in Response to Humorous, Sad, and Fearful Video Stimuli Using LSTM Networks: A Comparative Study with Classical Machine Learning Models

Real-Time, Multi-Command Drone Navigation Using a Consumer-Grade EEG-Based SSVEP BCI

Combinations of Optimization Method and Balancing Technique in Hypertension Classification with Machine Learning

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

Hyperparameter optimization of breast ultrasound image classification models using ant colony optimization based on texture features

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