Anshori, Nashruddin (2014) Simulasi Monte Carlo Untuk Menemukan Penciri Spektral Penyakit Diabetes Mellitus. Undergraduate thesis, Institut Teknologi Sepuluh Nopember Surabaya.
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Abstract
Diagnosis penyakit diabetes mellitus adalah didasarkan
atas kadar glukosa darah yang berbeda dari kondisi normal. Salah
satu metode non-invasive dalam mengindentifikasi kadar glukosa
darah adalah dengan menggunakan teknik Diffuse Reflectance
Spectroscopy (DRS). Ada dua pendekatan dalam DRS, yaitu
eksperimental dan komputasional. Pendekatan komputasional
dilakukan dengan menggunakan algoritma Monte Carlo yang
dianggap sebagai ”golden standard”. Dalam studi komputasional
ini disimulasikan pemodelan tissue kulit dan penjalaran cahaya
didalamnya, yang menggambarkan perilaku perubahan kadar
glukosa darah (50; 100; 150; dan 200 mg/dl), serta ketebalan
reticular dermis (0,1; 0,3; dan 0,5 cm). Hasil simulasi menunjukkan
bahwa sensitifitas perubahan nilai reflektansi terhadap perubahan
kadar glukosa darah serta ketebalan reticular dermis yang terbesar
terdapat pada tiga panjang gelombang terpilih, secara berurutan
adalah (645, 820, dan 930 nm) dan (765, 845, dan 885 nm). Dapat
disimpulkan bahwa, tiga panjang gelombang tersebut adalah penciri
spektral yang dapat digunakan untuk pengukuran yang sensitif
dalam diagnostik penyakit diabetes mellitus
=============================================================================================
Diagnostics of diabetes mellitus is based on blood glucose
levels that are different from the one of normal condition. One of the
methods of non-invasive blood glucose levels monitoring is using
Diffuse Reflectance Spectroscopy (DRS) technique. There are two
approaches in the DRS, i.e. experimental and computational
approaches. Computational approach is done using Monte Carlo
method, which is considered the "golden standard". In this
computational study, the propagation of light in skin tissue model
have been simulated, which mimics the behavior of blood's glucose
level changes (i.e. 50, 100, 150, and 200 mg / dl), as well as the
thickness of the reticular dermis (i.e. 0.1, 0.3, and 0.5 cm). Results
show that the triad wavelengths of (645, 820, and 930 nm) and (765,
845, and 885 nm) are the most sensitive to detect the changes in
blood glucose levels and the reticular dermis's thickness,
respectively. In conclusion the above three triads of wavelengths can
thus being utilized as spectral finger-prints for sensitive
measurements of the occurrence of diabetes mellitus in patients
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSF 618.924 62 Ans s |
| Uncontrolled Keywords: | Diabetes Mellitus, Non-Invasive, Diffuse Reflectance Spectoscopy, Monte Carlo, DRS. |
| Subjects: | Q Science > QA Mathematics > QA9.58 Algorithms |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | EKO BUDI RAHARJO |
| Date Deposited: | 22 Sep 2020 06:46 |
| Last Modified: | 22 Sep 2020 06:46 |
| URI: | http://repository.its.ac.id/id/eprint/82017 |
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