Optimasi Filter Bandpass Aktif untuk Sinyal Lemah Menggunakan Quantum Particle Swarm Optimization pada Studi Kasus Spektral Daya Sinyal Electroencephalogram
DOI:
https://doi.org/10.62048/qjms.v1i2.46Kata Kunci:
Quantum Particle Swarm Optimization , Optimasi,Daya rata-rata,Filter Band Pass, ElectroencephalogramAbstrak
Penelitian ini berfokus pada penggunaan Quantum Particle Swarm Optimization untuk mengoptimalkan filter bandpass aktif untuk sinyal lemah. Data sinyal Electroencephalogram yang diperoleh dari peneliti lain digunakan sebagai studi kasus dalam penelitian ini. Data sinyal Electroencephalogram ini, yang terdiri dari 1280 amplitudo sinyal dengan frekuensi sampling 256 Hz, dikarakterisasi sebelum dimasukkan ke dalam Quantum Particle Swarm Optimization untuk optimalisasi. Tujuan optimalisasi Quantum Particle Swarm Optimization adalah untuk mencapai rentang frekuensi sinyal dengan nilai daya maksimum rata-rata. Untuk perancangan filter bandpass, rentang frekuensi yang diperoleh dari optimasi Quantum Particle Swarm Optimization ini digunakan sebagai referensi. Range frekuensi 9.9 Hz hingga 13 Hz dan 15.99 Hz hingga 30 Hz. memberikan kondisi optimal. Rancangan filter didasarkan pada range frekuensi hasil optimasi dan nilai komponen R1, R2, dan R3 masing-masing 5.1M?, 10,2 M?, dan 1M? dengan C1=C2=0.01?F untuk frekuensi 9,9 Hz hingga 13 Hz, dan nilai 1,2M?, 2,4 M?, dan 1M? masing-masing dengan C1=C2=0.01?F untuk frekuensi 15,99 Hz hingga 30 Hz. Dari penelitian yang telah dilakukan ini Quantum Particle Swarm Optimization secara efektif mampu melakukan optimasi pada proses desain filter bandpass aktif pada studi kasus sinyal electroencephalogram.
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