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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Science, Technology, and Communication Journal
Sofia, Iftita Ida
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Computer Science & IT Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Sistem Deteksi Kelainan Neuromuscular Menggunakan Adaptive Neuro Fuzzy Inference System dan Dekomposisi Wavelet Elektromyogram Nuryani, Nuryani; Sofia, Iftita Ida; Yunianto, Mohtar
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 7, No 3 (2021): Volume 7 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v7i3.49966

Abstract

Sistem neuromuscular terdiri dari saraf motorik dan otot rangka yang menghasilkan aktivitas kelistrikan pada otot dan menyebabkan otot dapat berkontraksi dan menghasilkan gerak tubuh. Gangguan neuromuscular dapat terjadi pada sel saraf yang dinamakan Neuropathy dan pada sel otot yang dinamakan Myopathy. Aktivitas kelistrikan pada otot direkam melalui suatu alat yang dinamakan Electromiography (EMG). Pada penelitian ini dilakukan identifikasi sinyal EMG pasien sehat, myopathy dan neuropathy. Neuropathy merupakan gangguan yang disebabkan oleh kerusakan sel saraf. Myopathy merupakan gangguan yang disebabkan oleh kerusakan sel otot. Penanganan dan pengobatan myopathy dan neuropathy berbeda, sehingga diperlukan suatu metode yang dapat mendiagnosis dengan tepat jenis gangguan yang dialami. Analisis karakteristik sinyal EMG dilakukan menggunakan metode dekomposisi Wavelet Discrete Dyadic dan variasi fitur Root Mean Square (RMS), approximate entropy, spectral entropy dan Singular Value Decompotition (SVD) entropy. Sinyal karakteristik yang diperoleh di identifikasi menggunakan metode klasifikasi Adaptive Neuro Fuzzy Inference System (ANFIS). Performa ANFIS dalam mengidentifikasi karakteristik sinyal EMG pada masing-masing koefisien dekomposisi, menghasilkan performa terbaik pada koefisien aproksimasi ke-5 (cA5), dengan akurasi 100%, sensitivitas 100% dan spesivitas 100%.
Fluid continuity equation simulation: Monitoring fluid reservoir volume in the heart over time Maftukhaturrizqoh, Olivia; Wijaya, Agung Dwi; Sofia, Iftita Ida; Yunianto, Mohtar
Science, Technology and Communication Journal Vol. 4 No. 2 (2024): SINTECHCOM Journal (February 2024)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v4i2.259

Abstract

Fluid flowing in a cross-section of a channel follows the law of continuity, namely the mass rate of fluid entering will be the same as the mass rate of fluid leaving. One of the applications of fluid flow is in human blood flow. Blood flow is controlled by the heart which functions to pump blood to and from the heart. The flow of blood entering and leaving the heart is determined by the cross-sectional area of the channel and the speed of blood flow through the heart. The speed of blood flow in the heart consists of two speeds, namely the systolic speed when blood leaves the heart and the diastolic speed when blood enters the heart. So that the volume in the heart can be observed changes over time. By creating a simulation using the MATLAB programming language, the difference between normal heart volume and problematic heart volume can be known. A program called reservoir and cardiac based on graphical user interface was created to determine the volume of fluid in the reservoir at any time and compare the volume of fluid in normal and abnormal hearts concerning time in 1 systole-diastole cycle.
Co-Authors Maftukhaturrizqoh, Olivia Mohtar Yunianto, Mohtar Nuryani Nuryani Wijaya, Agung Dwi