IMPLEMENTASI TRANSFORMASI FOURIER UNTUK TRANSFORMASI DOMAIN WAKTU KE DOMAIN FREKUENSI PADA LUARAN PURWARUPA ALAT PENDETEKSIAN GULA DARAH SECARA NON-INVASIF

Authors

  • Umam Hidayaturrohman Department of Statistics, IPB University, Indonesia
  • Erfiani Erfiani Department of Statistics, IPB University, Indonesia
  • Farit M Afendi Department of Statistics, IPB University, Indonesia

DOI:

https://doi.org/10.29244/ijsa.v4i2.504

Keywords:

DFT, Diabetes Mellitus, FFT Radix-2, FFT Radix-4, Non-Invasive

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.

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Published

31-07-2020

How to Cite

Hidayaturrohman, U., Erfiani, E., & Afendi, F. M. (2020). IMPLEMENTASI TRANSFORMASI FOURIER UNTUK TRANSFORMASI DOMAIN WAKTU KE DOMAIN FREKUENSI PADA LUARAN PURWARUPA ALAT PENDETEKSIAN GULA DARAH SECARA NON-INVASIF. Indonesian Journal of Statistics and Its Applications, 4(2), 234–244. https://doi.org/10.29244/ijsa.v4i2.504

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