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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 : 317

Dimensionality Reduction Using Principal Component Analysis and Feature Selection Using Genetic Algorithm with Support Vector Machine for Microarray Data Classification

DOI : 10.35882/mr7x9713
Dwi Kartini (1), Rahmat Amin Badali (2), Muliadi Muliadi (3), Dodon Turianto Nugrahadi (4), Fatma Indriani (5), Setyo Wahyu Saputro (6)
(1) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Borneo, Indonesia, Indonesia ,
(2) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Borneo, Indonesia, Indonesia ,
(3) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Borneo, Indonesia, Indonesia ,
(4) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Borneo, Indonesia, Indonesia ,
(5) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Borneo, Indonesia, Indonesia ,
(6) Department of Computer Science, Lambung Mangkurat University, Banjarbaru, South Borneo, Indonesia, Indonesia
154-166
Abstract : 2486
pdf : 700

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 : 1855
pdf : 804

Few-shot Classification of Smartphone Photos using Hidden Markov Model and Siamese Network

DOI : 10.35882/ijeeemi.v7i3.116
Zulkarnaen Hatala (1), Muhammad Hudzaly (2)
(1) Department of Informatics, Politeknik Negeri Ambon, Ambon, Indonesia, Indonesia ,
(2) Faculty of Industrial Engineering, Institut Teknologi Kalimantan, Balikpapan, Indonesia, Indonesia
549-558
Abstract : 911
pdf : 353

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 : 1281
pdf : 529

Design and Implementation of an Organic and Inorganic Waste Detection System Using Capacitive, Inductive, and LDR Sensors with Rule-Based Classification

DOI : 10.35882/ijeeemi.v7i4.133
Diyah Widiyasari (1), Husneni Mukhtar (2), Willy Anugrah Cahyadi (3), Adhi Dharma Surya Wijaya (4)
(1) Electrical Engineering Study Program, School of Electrical Engineering, Telkom University, Bandung, Indonesia , Indonesia ,
(2) Electrical Engineering Study Program, School of Electrical Engineering, Telkom University, Bandung, Indonesia , Indonesia ,
(3) Electrical Engineering Study Program, School of Electrical Engineering, Telkom University, Bandung, Indonesia , Indonesia ,
(4) Electrical Engineering Study Program, School of Electrical Engineering, Telkom University, Bandung, Indonesia , Indonesia
605-618
Abstract : 973
pdf : 636

Optimizing Categorical Boosting Model with Optuna for Anti-Tuberculosis Drugs Classification

DOI : 10.35882/ijeeemi.ijeeemi.v7i2.92
Yosua Satria Bara Harmoni (1), Kartika Maulida Hindrayani (2), Dwi Arman Prasetya (3)
(1) Universitas Pembangunan Nasional Veteran Jawa Timur, Indonesia ,
(2) Universitas Pembangunan Nasional Veteran Jawa Timur, Indonesia ,
(3) Universitas Pembangunan Nasional Veteran Jawa Timur, Indonesia
401-414
Abstract : 1109
pdf : 1795

Thermal Image Classification of Autistic Children Using Res-Net Architecture

DOI : 10.35882/365fkd59
Ahmadiar Ahmadiar (1), Melinda Melinda (2), Zharifah Muthiah (3), Zulfan Zainal (4), Muharratul Mina Rizky (5)
(1) Universitas Syiah Kuala, Indonesia ,
(2) Universitas Syiah kuala, Indonesia ,
(3) Universitas Syiah Kuala, Indonesia ,
(4) Universitas Serambi Mekah, Indonesia ,
(5) Universitas Syiah Kuala, Indonesia
1-10
Abstract : 1306
pdf : 457

Performance Evaluation of EfficientNetB3-Based Deep Learning Model for the Classification of Acute Lymphoblastic Leukemia and Normal Blood Cells

DOI : 10.35882/ijeeemi.v7i3.113
Sayed Muchallil (1), Maya Fitria (2), Ridha Arrahman (3), Khairun Saddami (4)
(1) Department of Informatics, University of Oslo, Oslo, Norway, Norway ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia
501-513
Abstract : 1099
pdf : 556

Classification Of Cyber Attack And Anomaly In Web Server Using Transformer and Transfer Learning

DOI : 10.35882/ijeeemi.v7i4.119
Edi Dwi Prasetyo (1), Basuki Rahmat (2), Anggraini Puspita Sari (3)
(1) Master of Information Technology, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia, Indonesia ,
(2) Master of Information Technology, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia, Indonesia ,
(3) Master of Information Technology, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia, Indonesia
713-723
Abstract : 1075
pdf : 865

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 : 610

Depression Level Classification Using Compact Cross-Domain Feature Engineering on Sleep, Physical Activity, and Demographic Data

DOI : 10.35882/ijeeemi.v8i3.356
Nila Yoga Tama Nurwati (1), Fatma Indriani (2), Friska Abadi (3), Dodon Turianto Nugrahadi (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
335-351
Abstract : 55
pdf : 86

Data Splitting Strategies for Down Syndrome Facial Classification: A Comparative Study Using EfficientNet-B0 and MobileNetV2

DOI : 10.35882/ijeeemi.v8i3.338
Dzaki Dhiya Ul-Haq (1), Yunidar Yunidar (2), Melinda Melinda (3), Nurlida Basir (4), Rosmawinda Rosmawinda (5)
(1) Department of Electrical Engineering and Computer, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical Engineering and Computer, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical Engineering and Computer, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Nilai Negeri Sembilan, Malaysia, Malaysia ,
(5) Department of Electrical Engineering and Computer, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia
299-316
Abstract : 216
pdf : 192

A Hybrid Approach for Optimal Multi-Class Classification of Neglected Tropical Skin Diseases using Multi-Channel HOG Features

DOI : 10.35882/hx3pcz75
Nyatte Steyve (1), Perabi Steve (2), Mepouly Kedy (3), Salomé Ndjakomo (4), Ele Pierre (5)
(1) Laboratory of Technology and Applied Sciences, University of Douala, Cameroon, Cameroon ,
(2) Laboratory of Technology and Applied Sciences, University of Douala, Cameroon, Morocco ,
(3) Laboratory of Technology and Applied Sciences, University of Douala, Cameroon, Morocco ,
(4) Laboratory of Technology and Applied Sciences, University of Douala, Cameroon; Signal, Image and Systems Laboratory, University of Yaounde, Cameroon, Morocco ,
(5) Laboratory of Technology and Applied Sciences, University of Douala, Cameroon; Laboratory of Electrical Engineering, Mechatronic and Signal Treatment, National Advanced School of Engineering, University of Yaoundé, Yaoundé, Cameroon, Morocco
Abstract : 810
pdf : 480

The Role of U-Net Segmentation for Enhancing Deep Learning-based Dental Caries Classification

DOI : 10.35882/ijeeemi.v7i2.75
Muhammad Keysha Al Yassar (1), Maya Fitria (2), Maulisa Oktiana (3), Muhammad Aditya Yufnanda (4), Khairun Saddami (5), Kahlil Muchtar (6), Teuku Reza Auliandra Isma (7)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(4) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(5) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(6) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(7) Institute of Automation, University of Rostock, Germany, Germany
253-269
Abstract : 2306
pdf : 758

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 : 160

Automated Z-Score Based Nutritional Status Classification for Children Under Two Using Smart Sensor System

DOI : 10.35882/ijeeemi.v7i4.111
Yunidar Yunidar (1), Melinda Melinda (2), Rina Ridara (3), Nurlida Basir (4)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Nilai Negeri Sembilan, Malaysia, Malaysia
559-571
Abstract : 908
pdf : 744

A Comparative Analysis of Lightweight Deep Learning Models for CT-Based Kidney Disease Classification to Support Early Detection in Geriatric Care

DOI : 10.35882/ijeeemi.v8i2.325
Ardha Ardhana Putra Agustavada (1), Aji Prasetya Wibawa (2), Abdullah Sholum (3), Dafa Fadhilah Hilmi (4), Felix Andika Dwiyanto (5)
(1) Department of Electrical Engineering and Informatics, Universitas Negeri Malang, Malang, Indonesia, Indonesia ,
(2) Department of Electrical Engineering and Informatics, Universitas Negeri Malang, Malang, Indonesia, Indonesia ,
(3) Department of Electrical Engineering and Informatics, Universitas Negeri Malang, Malang, Indonesia, Indonesia ,
(4) Department of Electrical Engineering and Informatics, Universitas Negeri Malang, Malang, Indonesia, Indonesia ,
(5) Faculty of Computer Science, AGH University of Krak´ow, al. Adama Mickiewicza 30, Kraków 30-059, Poland, Poland
172-188
Abstract : 645
pdf : 329

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 : 698

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 : 404

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 : 1257
pdf : 517

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 : 345

MEWT-Enhanced EEGNet for ASD EEG Classification: Performance Evaluation with k-Fold Cross-Validation

DOI : 10.35882/ijeeemi.v8i1.313
Imam Fathur Rahman (1), Melinda Melinda (2), Yunidar Yunidar (3), Nurlida Basir (4), Aufa Rafiki (5)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Nilai Negeri Sembilan, Malaysia, Malaysia ,
(5) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia
56-69
Abstract : 702
pdf : 358

Enhancing Natural Disaster Monitoring: A Deep Learning Approach to Social Media Analysis Using Indonesian BERT Variants

DOI : 10.35882/t158qq37
Karlina Elreine Fitriani (1), Mohammad Reza Faisal (2), Muhammad Itqan Mazdadi (3), Fatma Indriani (4), Dodon Turianto Nugrahadi (5), Septyan Eka Prastya (6)
(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 ,
(6) Sari Mulia University, Indonesia
77-89
Abstract : 1500
pdf : 773

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 : 970
pdf : 920
1 - 25 of 52 items 1 2 3 > >>