ANALISIS DOSIS RADIASI HAMBUR PESAWAT SINAR-X MENGGUNAKAN DATA PENGUKURAN THERMOLUMINESCENCE DOSIMETER BERBASIS METODE MONTE CARLO

KURNIASIH, KURNIASIH and Monado, Fiber and Setiabudidaya, Dedi (2022) ANALISIS DOSIS RADIASI HAMBUR PESAWAT SINAR-X MENGGUNAKAN DATA PENGUKURAN THERMOLUMINESCENCE DOSIMETER BERBASIS METODE MONTE CARLO. Undergraduate thesis, Sriwijaya University.

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Abstract

This study examines the dose of scattered radiation exposed to the human body with the help of the Monte Carlo method which is simulated using OpenDXMC where the input data is adjusted to the secondary data of thermoluminescence dosimeter (TLD) measurements. The use of Monte Carlo here is based on the random behavior of x-ray particles, so the Monte Carlo method is very precise for simulating x-ray transport. This study used secondary data which is compared with the results of the Monte Carlo simulation. From the results of the monte carlo simulation, it is concluded that the printed value from the computational results interprets the KERMA value (kinetic energy released in the material). The comparison results of the simulation with TLD measurement data, the simulation dose value closest to the TLD measurement value is sample number 18 with coordinates (0.3), the lowest dose in the Monte Carlo simulation is number 35 with a dose of 6.22 μGy, the largest dose on the phantom surface 151.33 μGy. This simulation shows a decrease in dose to distance, so that the area with the lowest scattered radiation dose can be determined.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sinar-x, OpenDXMC, Dosis Radisi Hambur, Monte Carlo, Thermoluminescence Dosimeter
Subjects:	Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages Q Science > QC Physics > QC474-496.9 Radiation physics (General)
Divisions:	08-Faculty of Mathematics and Natural Science > 45201-Physics (S1)
Depositing User:	Kurniasih Kurniasih
Date Deposited:	29 Dec 2022 05:55
Last Modified:	29 Dec 2022 05:55
URI:	http://repository.unsri.ac.id/id/eprint/84916

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