Implementasi Transformasi Fourier Untuk Transformasi Domain Waktu Ke Domain Frekuensi Pada Luaran Purwarupa Alat Pendeteksian Gula Darah Secara Non-Invasif

Abstract

Diabetes mellitus is the result of changes in the body caused by a decrease of insulin performance which is characterized by an increase of blood sugar level. Detection of blood sugar can be done with Invasive methods or non-invasive methods. However, non-invasive methods are considered better because they can check early, faster and accurate. The prototype output is values of intensity in the time domain, thus fourier transformation is very much needed to transform into the frequency domain. In this study, Fourier transformation methods used are Discrete Fourier Transform (DFT), Fast Fourier Transform Radix-2, and Fast Fourier Transform Radix-4. Evaluation for the best method is done by comparing the processing speed of each method. The FFT Radix-4 method is more effective to perform the transformation into the frequency domain. The average processing speed with the FFT Radix-4 method reaches 2.67×105 nanoseconds, and this is much faster 5.06×106 nanoseconds than the FFT Radix-2 method and 2.40×107 nanoseconds faster than the DFT method.

Kajian Discrete Fourier Transform untuk Menganalisis Sinyal Arbitrer

“…Transformasi Fourier dibagi menjadi 2 bagian yaitu Fourier Kontinu dan Fourier Diskret. Untuk mengatasi berbagai permasalahan pada penggunaan Transformasi Fourier Kontinu maka mulai dikembangkan Discrete Fourier Transform (DFT) (Hidayaturrohman et al, 2020). DFT bertujuan untuk membawa nilai sinyal kontinyu (analog) untuk dijadikan nilai diskrit agar dapat diproses atau dilakukan perhitungan secara digital menggunakan mikrokontroler atau komputer (Kusmiran, 2016).…”