Pengembangan Aplikasi Pengolahan Sinyal Eeg Untuk Menganalisis Perubahan Frekuensi Gelombang Otak Setelah Relaksasi Aromaterapi
Abstract
Penelitian ini mengembangkan aplikasi desktop berbasis Python untuk mempermudah analisis sinyal EEG sebelum dan sesudah terapi aromaterapi, khususnya bagi pengguna non-teknis. Aplikasi ini memiliki fitur pemuatan data .csv, pembersihan nilai NaN/Inf, filter bandpass 1–40 Hz, transformasi FFT, visualisasi power spectrum dan spektrogram, analisis ICA, serta perhitungan rasio frekuensi alpha/beta dan theta/beta. Pengujian dilakukan melalui QA oleh 15 teknisi dan UAT oleh 3 mahasiswa psikologi. Hasil menunjukkan aplikasi berjalan stabil, mudah digunakan, dan mampu mendeteksi perubahan gelombang otak yang mencerminkan relaksasi, ditandai oleh peningkatan rasio alpha/beta dan theta/beta. Sistem ini mendukung evaluasi objektif efektivitas terapi aromaterapi secara kuantitatif.
Kata kunci: Aromaterapi, EEG, FFT, ICA, Power Spectrum.
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