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Ade Eviyanti
Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia
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Epilepsy Classification Using Support Vector Machine with Frequency Domain Feature Extraction Hindarto Hindarto; Ade Eviyanti; Ahmad Ahfas; Egha Arya Affandi
Jurnal Elektronika dan Telekomunikasi Vol. 26 No. 1 (2026)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.797

Abstract

Epilepsy is a brain-related condition characterized by abnormal electrical activity in the brain. This condition can be identified by observing EEG signals, which record the brain's electrical activity. Automatically detecting seizures using EEG signals helps doctors diagnose the condition more quickly and accurately. In this study, a method is proposed that uses a Support Vector Machine (SVM) to classify EEG signals. The features used for classification are extracted from the frequency domain using a technique called Fast Fourier Transform (FFT). The dataset used is called the UCI Epileptic Seizure Recognition Dataset, which includes 11,500 EEG samples divided into five classes. These samples are then categorized into two main types: seizures and non-seizures. The research process includes data preprocessing with MinMaxScaler normalization, feature extraction using FFT, and data classification using SVM with varying numbers of features. Model performance is measured using several metrics, including accuracy, precision, recall, F1 score, and ROC-AUC. The results showed that the use of 21 features with the SVM model provided the best performance, with an accuracy of 97.7%, a precision of 93.2%, a recall of 95.4%, an F1 score of 94.3%, and an AUC value of 0.9930. These results are better than previous studies using similar methods, indicating that the combination of FFT and SVM is effective for detecting epilepsy using EEG signals. These findings help build a more reliable system for medical diagnosis and highlight the importance of using balanced evaluation measures in healthcare.
Analisis Frekuensi pada Sinyal EEG menggunakan Fast Fourier Transform Hindarto Hindarto; Akhmad Ahfas; Ade Eviyanti; Egha Karya Affandi
Proceeding of Informatics Collaborations and Dessimenation Meeting Vol. 1 No. 1 (2025)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Analisis sinyal Elektrode Encephalo Graph (EEG) menunjukkan bahwa rentang frekuensi serangan epilepsi pada gangguan neurologis perlu dideteksi sejak dini untuk mengetahui kebutuhan spesifik mereka dan membantu mereka bertahan hidup dengan masalahnya. K-Nearest Neighbor (KNN) dan analisis diskriminan linier digunakan untuk mendeteksi emosi diskrit manusia (kejutan, senang, takut, netral dan jijik) melalui sinyal EEG. Tujuan dari penelitian ini adalah mengukur rentang frekuensi sinyal EEG yang berkaitan dengan epilepsi, membaginya menjadi lima domain berbeda seperti α, β, γ, δ dan θ yang terkait dengan rentang total, serta menghilangkan distribusi frekuensi. Metode Fast Fourier Transform (FFT) pada sinyal EEG digunakan untuk membandingkan perbedaan antara epilepsi dan sehat subjek. Hasil yang didapatkan pada penelitian ini, yaitu terdapat perbedaan frekuensi dan perbedaan amplitudo antara subyek sehat dan subjek yang menderita epilepsi.sehingga dengan adanya perbedaan ini, maka untuk proses klasifikasi akan menjadi lebih mudah.
Co-Authors Abdiansah, Lutfi Abdul Haris Setya Nugraha Abror, M Abror, M. Achmad Alfian Fajriansyah Achmad Danu Zakaria Achmad Danu Zakaria Adam Putra Addriana Fatma Putri Indah Sari adham Adi Putra, Lutfi Adiffanani Ramdansyah Adilla Syafira Putri Adimas Priyambadha Agil Fajar Dwi Prasetyo Agus Miftakhurrohmat Agustin, Erlina Ahmad Ahfas Ahmad Ardiansyah Nugraha Ahmad Muflih Aisha Hanif Akhmad Ahfas Alan Budi Kusuma Kusuma Aldo Ardiansyah Aliful Fatikh Pulunggono Suseta Alim, Kholqi Aminy, Ritzana Aisyah Ananda Firly Amelia Anang Tri Yuhono Andriani Eko Prihatiningrum Andrinai Eko Prihatiningrum Anggraeni, Anifah Warda Arif Senja Fitrani Arif Senja Fitrani Arif Senja Fitriani Arjuna Adlina Martha Ayu Anggilina Ayu Dwi Ratna Ningsih Azizah, Nurul Lutfi Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azinar Bisri, Muhammad Anhar Chulloh, Dafid Mizta Cindy Taurusta Cornelius, Cornelius Daffa Fauzanrio Iswinarko Damara, Rivaldi Garindra Damasta, Ifanda Reza Deby Kurniawan Armananda Diba, Naila Farah Dimas Bayu Anjasmara Dimas Sya’aldi Pasa Dini Aprilia Puspitasari Dini Yocta Prabayanti Dona Ardiansyah Donni Adeleo Ardana Dulkarnain, As’ad Dwi Cahyono, Qitfirul Egha Arya Affandi Egha Karya Affandi Erika Anjani Putri Eriyanto, Sandi Eko Erlina Agustin Fahrizal Arman Faiqotul Himma Ramadhanti Fanani, Muchammad Ichsanuddin Fandy Rachmatulloh Febri Rosita Dewi Feny Anggraeny Firmansah, Noval Firmanto fitria, Saniya Izza Fitriah Fitriah Fuad Azis Muslim Fungky Ariya Wardana Ghozali, M Fahruddin Ginanjar Agung Sudrajat Gita Wardani Gita Wardani Givari Eka Fajar Guko, William Yviis Habib Husain Amirullah Hamid, Moch Siddiq Hamza Setiawan Hamzah = Setiawan Hamzah Setiawan Hamzah Setiawan Hazmi Ramadhan Al fatri Hendri Hermawan Hermawan, Tunggal Hibatullah Putra, Dimas Radito Hindarto Hindarto Hindarto Hindarto Hindarto Ihsan Ferdy Nurfauzy Ika Ratna Ika Ratna Indra Astutik Ika Ratna Indra Astutik Imanda, Almyra Gitta Indah Kurniawati Indrawati, Marcella Irene Elvariani Dewanti Jamal Hasan khoirunnisa devita sari Kurnia Ningtiyas Lazuardi, Fajar Lola Herawati Luluk Asti Qomariah Luqmanul Hakiym Maulana M Fahruddin Ghozali Macfhul Indrakurniawan Makhfudzoh, Fury Maulana, Mahardika Rafi Ma’ruf , Mohammad Rizal Metatia Intan Mauliana Metatia Intan Mauliana Miftahurrohmat, A Miftakhurrohmat, A. Moch Alfan Rosyid Moch Irwan Al Khafid Moch Siddiq Hamid Mochamad Alfan Rosid Mochammad Alfan Rosid Mochammad Raflie Lazuardi Moh. Attar Jibran Mohammad Fadli Zaka Mohammad Rizal Ma'ruf Muchammad Bagus Sasmita muchammad david mahendra Muchammad Issom Agustian Muhammad Abror Muhammad Afin Amirullah Muhammad Alfin Firdiansyah Muhammad Alifiansyah Putra Muhammad Arif Fa’i Muhammad Arshiel Naufal Dzaki Muhammad Fajar Alfian Muhammad Farid Yuliansyah Muhammad Najih Fairuzzamani Muhammad Rozzaq Muhammad Syauqil Muhammad Zainal Abidin Nahriyan Zidan Bahar Rizqi Naila Adiba Naila Farah Diba Nanda Mujahidah Andini Naufal Raihan naufal Nella Prima Yeni Nila Sekardhani Hadian Nisa, Umi Khoirun Nouval Aulia Rachman Noverio Darmawan Adhiek Putra Novia Ariyanti Novia Ariyanti Novia Atiyanti Nuril Lutvi Azizah Nurul amiroh Octavia, Elga Padova Bima Maldini Pranatadityo, Billy Prasetyana, Dwi Gilang Ramadhan Pratama, Hepi Yoga Pratama, Robby Pratiwi, Rosa Machmuda Putra F, M. Bagus Putra, Fariq Abdillah Maulana Putri, Revanda Silva Astianto Ratih Sri Yunarti Reyhan Haqiqi Alif Fourniawan Rizki, M. Alvan Rizky Budi Aprianto Rizky Rahmahdian Sandy Rohman Dijaya Rosydah Rihadhatu Aisyiyah Rukhi Alfian, Muhammad Sabilah, Hasya Saiful Arifin Saiful Arifin Salsabil, Muhammad Saputra, Abhirama Septya Bayu Andita Serlindha Tri Andini Shiddqy Hidayat, Syahril Shierly Mayco Angela Siti Nurjanah Ramadhany Steven Gerrard Suhendro Busno Suhendro Busono Sukma Aji Sumarno , Sumarno Sumarno . Sumarno Sumarno Suprianto Syahfrizka Dyah Nazwa Umbara Syaifudin, Hilmi Fajar Sylfanie Sekar Mayang Tasya Gusti Amalia Teguh Hardianto Putra Teguh Prasetyo Uce Indahyanti Umi Khoirun Nisak Vevy Liansari Vevy Liansari via nabila banda Viarini, Dina Dwi Okta Wardani, Gita Wijaya, Naufal Ariq Wijayanto, Moch Eri Witno, Kasaifi Al Qurdhowi Bin Wulandari, Alidza Septiam Yanita Wardhani Yulian Findawati Yunianita Rahmawati Yuzefa, Hihaniza Lela Zahputra, Aldy Trisza Zaka, Mohammad Fadli Zuyyina Fihayati