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All Journal International Journal of Evaluation and Research in Education (IJERE) ComEngApp : Computer Engineering and Applications Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer dan Informasi Jurnal Ilmiah Informatika Komputer Jurnal Buana Informatika Perfecting a Video Game with Game Metrics Telematika : Jurnal Informatika dan Teknologi Informasi Scientific Journal of Informatics Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Fourier InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Proceeding of the Electrical Engineering Computer Science and Informatics JPSE (Journal of Physical Science and Engineering) Jurnal Teknologi dan Sistem Komputer Jurnal Informatika INTEGER: Journal of Information Technology Jurnal Matematika: MANTIK JURNAL MEDIA INFORMATIKA BUDIDARMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Informatika Universitas Pamulang JUMANJI (Jurnal Masyarakat Informatika Unjani) Mathvision : Jurnal Matematika Building of Informatics, Technology and Science Transformasi : Jurnal Pendidikan Matematika dan Matematika Jurnal Mnemonic Majalah Ilmiah Matematika dan Statistika (MIMS) Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi JUSTIN (Jurnal Sistem dan Teknologi Informasi)
Dian Candra Rini, Dian Candra
Universitas Islam Negeri Sunan Ampel
Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation

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Journal : Jurnal Matematika: MANTIK

 1 
Klasifikasi Sinyal EEG Menggunakan Metode Fuzzy C-Means Clustering (FCM) Dan Adaptive Neighborhood Modified Backpropagation (ANMBP) Dian Candra Rini
Jurnal Matematika MANTIK Vol. 1 No. 1 (2015): Matematika dan Terapan
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.307 KB)

Abstract

Instrumen EEG (electroencephalography) merupakan suatu instrumen yang digunakan sebagai perekam aktivitas otak dengan memperlihatkan gelombang otak. Prinsip kerja EEG adalah dengan mendeteksi perubahan muatan secara tiba-tiba dari sel neuron yang ditandai dengan adanya interictal spike-and-wave pada hasil EEG (electroencephalogram). Terdapat suatu data set sinyal EEG, direkam pada sukarelawan normal dan epilepsi. Pada penelitian ini dengan menggunakan data tersebut akan dilakukan suatu sistem klasifikasi sinyal EEG dengan berdasar pada kondisi normal dan epilepsi. Klasifikasi sinyal EEG menggunakan Metode Adaptive Neighborhood Base Modified Backpropagation (ANMBP). Hasil ekstraksi fitur dari sinyal EEG dengan menggunakan metode Fuzzy C-Means (FCM) Clustering, dimana proses awalnya melalui dekomposisi wavelet menggunakan Discrete Wavelet Transform (DWT) dengan level 2 didapatkan 3 koefisien wavelet kemudian pada masing masing koefisien tersebut di clustering menggunakan FCM dengan 2 cluster sehingga menghasilkan 6 fitur yang akan menjadi vektor fitur. Dari vektor fitur tersebut digunakan sebagai inputan untuk dilakukan proses klasifikasi dengan menggunakan metode ANMBP. Hasil sistem sementara didapatkan recognition rate sebesar 74.37%.
PENGKLASTERAN LAHAN SAWAH DI INDONESIA SEBAGAI EVALUASI KETERSEDIAAN PRODUKSI PANGAN MENGGUNAKAN FUZZY C-MEANS Nur Afifah; Dian Candra Rini Novitasari; Ahmad Lubab
Jurnal Matematika MANTIK Vol. 2 No. 1 (2016): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

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Abstract

The number of rice field in Indonesia is decreasing due to development of residential areas and buildings. Consequently, it reduces foodstuff availability and government should import it from other. Increasing food production and minimizing imported food can be started by clustering fields as an evaluation. This clustering is approached by Fuzzy C-Means. Training and Testing data are implemented on Matlab and yield three categories, wide, medium and narrow field. Moreover, the most potential field is East Java, Central Java, and West Java
Classification of EEG Signals using Fast Fourier Transform (FFT) and Adaptive Neuro Fuzzy Inference System (ANFIS) Suwanto Suwanto; M. Hasan Bisri; Dian Candra Rini Novitasari; Ahmad Hanif Asyhar
Jurnal Matematika MANTIK Vol. 5 No. 1 (2019): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.823 KB) | DOI: 10.15642/mantik.2019.5.1.35-44

Abstract

Epilepsy is a disease that attacks the brain and results in seizures due to neurological disorders. The electrical activity of the brain recorded by the EEG signal test, because EEG test can be used to diagnose brain and mental diseases such as epilepsy. This study aims to identify whether a person has epilepsy or not along with the result of accurate, sensitivity, and precision rate using Fast Fourier Transform (FFT) and Adaptive Neuro-Fuzzy Inference System (ANFIS) method. The FFT is used to transform EEG signals from time-based into frequency-based and continued with feature extraction to take characteristics from each filtering signal using the median, mean, and standard deviations of each EEG signal. The results of the feature extraction used for input on the category process based on characteristics data (classification) using ANFIS. EEG signal data is obtained from epilepsy center online database of Bonn University, German. The results of the EEG signal classification system using ANFIS with two classes (Normal-Epilepsy) states accuracy, sensitivity, and precision of 100%. The classification systems with three class division (Normal-Not Seizure Epilepsy-Epilepsy) resulted in an accuracy of 89.33% sensitivity of 89.37% and precision of 89.33%.
Co-Authors Abdulloh Hamid Abdulloh Hamid Adam Fahmi Khariri Adelia Damayanti Adyanti, Deasy Ahmad Hanif Asyhar Ahmad Hanif Asyhar Ahmad Hidayatullah Ahmad Lubab Ahmad Yusuf Ahmad Zoebad Foeady Ahmad Zoebad Foeady Alvin Nuralif Ramadanti Arifin, Ahmad Zaenal Aris Fanani Aris Fanani Chalawatul Ais Deasy Adyanti Dewi Sulistiyawati Dilla Dwi Kartika Dina Zatusiva Haq Dina Zatusiva Haq Diva Ayu Safitri Nur Maghfiroh Elen Riswana Safila Putri Evi Septya Putri Fahriza Novianti FAJAR SETIAWAN Fajar Setiawan Fajar Setiawan Fajar Setiawan Fajar Setiawan Faris Mushlihul Amin Ferryan, Dhandy Ahmad Firmansjah, Muhammad Foeady, Ahmad Zoebad Galuh Andriani Ganeshar B.D. Prasanda Gede Gangga Wisnawa Gita Purnamasari R Hani Khaulasari Hanimatim Mu'jizah Ifadah, Corii Ilmiatul Mardiyah Indra Ariyanto Wijaya Irkhana Indaka Zulfa Jauharotul Inayah Kusaeri Kusaeri Luluk Mahfiroh Lutfi Hakim Lutfi Hakim Luthfi Hakim M. Hasan Bisri Mayandah Farmita Moh. Hafiyusholeh Moh. Hafiyusholeh Moh. Hafiyusholeh Moh. Hafiyusholeh Mohammad Lail Kurniawan Mohammad Rizal Abidin Monika Refiana Nurfadila MUHAMMAD FAHRUR ROZI Muhammad Fahrur Rozi Muhammad Syaifulloh Fattah Muhammad Thohir Musfiroh Musfiroh Nanang Widodo Nanang Widodo Nanang Widodo Nisa Trianifa Noviati Maharani Sunariadi Noviati Maharani Sunariadi Nur Afifah Nur Hidayah Nurissaidah Ulinnuha Nurissaidah Ulinnuha Nurissaidah Ulinnuha Putri Wulandari Putroue Keumala Intan Putroue Keumala Intan Putroue Keumala Intan Putroue Keumala Intan Rafika Veriani Ratnasari, Cristanti Dwi RIFA ATUL HASANAH Rifa Atul Hasanah Rozi, Muhammad Fahrur Sari, Ghaluh Indah Permata Setiawan, Fajar Siti Nur Fadilah Siti Nur Fadilah Siti Ria Riqmawatin Suwanto Suwanto Suwanto Suwanto Tasya Auliya Ulul Azmi Thohir, Muhammad Ulinnuha, Nurissaidah Umi Masruroh Kusman Unix Izyah Arfianti USWATUN KHASANAH Utami, Tri Mar'ati Nur Veriani, Rafika Vina Fitriyana Wanda N.P. Sunaryo Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Dianita Utami Yasirah Rezqita Aisyah Yasmin Yuni Hariningsih Yuniar Farida Yuniar Farida, Yuniar Yuyun Monita Yuyun Monita Zulfa, Elok Indana