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All Journal Journal of Physics and Its Applications Jurnal Materi dan Pembelajaran Fisika Jurnal Ilmiah Ilmu Terapan Universitas Jambi Aceh International Journal of Science and Technology
Fuad Anwar, Fuad
Program Studi Teknik Industri, Universitas Islam Bandung
Agriculture, Biological Sciences & Forestry Astronomy Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

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Tuberculosis Detection using Gray Level Co-Occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN) Algorithms Anwar, Fuad; Yunianto*, Mohtar; Putri, Rahmanisya Fani Aisha
Aceh International Journal of Science and Technology Vol 12, No 3 (2023): December 2023
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.3.33241

Abstract

Research has been conducted on detecting tuberculosis (TB) using machine learning. In this study, chest Xray (CXR) image data was used with a pixel value of 512 x 512 and PNG format consisting of normal lung images and TBinfected lung images in a 50:50 ratio; the number of images was 200 training data images and 80 testing data images. In the preprocessing stage, grayscaling is carried out so the image has a grayscale. Then, do the image improvement using contrast stretching. Furthermore, image extraction was carried out using 22 GLCM features with variations in the direction of the angles of 0, 45, 90, and 135. The result of feature extraction data is then identified using KNN Classification. The training results have the highest accuracy value with variations in the direction of the GLCM angle of 45 and the value of K = 3; at the testing stage, it produces an accuracy of 90%.
A Study of the Results of Time-Dependent Ginzburg-Landau Equation Using Scilab Alfargana, Tanzillal; Sutomo, Artono Dwijo; Anwar, Fuad
Jurnal Materi dan Pembelajaran Fisika Vol 14, No 2 (2024): Jurnal Materi dan Pembelajaran Fisika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jmpf.v14i2.92340

Abstract

This study aims to examine computational (numerical) programs in solving the Ginzburg-Landau Time-Dependent Equation. The Ginzburg-Landau Time-Dependent Equation (TDGL), which is often used to model the dynamics of superconductors in external magnetic fields.  The TDGL equation is made using the Scilab platform, then the results are compared with the results of Fortran. This study involves experiments with variations in superconductor size to observe their effect on simulation results. The main focus of this study is to study the relationship between the mean magnetization of superconductors and external magnetic fields (He), as well as to evaluate the accuracy and efficiency of the results obtained from the two computing platforms.  These results show the relationship between the mean of the superconductor magnetization and the external magnetic field, as well as a comparison of the Vs He graph of Scilab and Fortran showing the relationship between the superconductor order parameters and the external magnetic field.
Analysis of Total Proton Therapy Dose Distribution with Pencil Beam Collimator Model and Varied Beam Directions in Craniopharyngioma Tumor using MCNP6 Software Hayati, Widia; Utari, Utari; Anwar, Fuad; Suharyana, Suharyana; Arianto, Fajar; Khakim, Azizul
Journal of Physics and Its Applications Vol 7, No 1 (2024): November 2024
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i1.23977

Abstract

Proton therapy modeling for treating craniopharyngioma tumors was conducted using a pencil beam collimator, and variations in beam directions were performed using MCNP6 software. The simulation was carried out on a head and neck phantom with the tumor cells modeled within a cubic irradiation area geometry with a 1.2 cm side length, divided into 27 small cubic voxels with a small voxel side length of 0.4 cm. The radiation source from the irradiation area's right, left, and top directions, with a diameter of 0.4 cm, was directed at each cubic voxel. Variation in radiation source directions indicated that irradiation from the right direction of the irradiation area is the most recommended approach, with a dose uniformity level of 83.47%. Healthy organs surrounding the irradiation area received lower doses than those obtained by tumor cells, and the majority remained below the Organ At Risk (OAR) threshold. Healthy organs received the highest dose, particularly in the brain region, at a relative 0.46% compared to the total dose received by tumor cells.
STUDY OF 3D PRINTING HIPS BREAST PHANTOM MATERIAL: EFFECT OF EXPOSURE VOLTAGE VARIATION AND NODULE SIZE Yunianto, Mohtar; Devi, Nanda Astika; Anwar, Fuad; Cindyana, Adnan
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 3 (2025): Volume 9, Nomor 3, September 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i3.42846

Abstract

A study has examined the characteristics of 3D printer materials of HIPS and PLA. The study began by printing HIPS materials that resembled breast organs and PLA materials that resembled breast cancer nodules. Then it exposed them using a CT scan with voltage variations of 80 kV, 100 kV, and 120 kV. The parameters studied were compared with the reference breast organ. The results obtained at these voltages obtained CT-number values sequentially (-85.14+0.25) ; (-64.79+0.21) HU; (-55.08+0.18) HU values from the reference 35 to -94 HU, relative electron density values sequentially 0.915; 0.935; 0.945 with a reference value of 0.950, the density value of the material obtained is (0.921+0.002) g/, The EDG value is 3.24 x  from ICRU 1989 was 3.33 x, The EDV value is (3.00 + 0.01) x  from ICRU report 44 was 3.18 x 10, the value is 3.50 the value of ICRU data is 3.28, and the effective dose values are respectively 2.53 mSv, 2.83 mSv, 3.20 mSv. Based on these characteristics, the results indicate that the breast phantom matches the characteristics of the breast organ, allowing it to be used to predict the presence of breast cancer, as it shares the same characteristics. The results of exposure to the lung cancer nodule phantom on the CT-Scan image of the 2 mm nodule size are not visible. The results of this study can be used as a consideration for radiologists when choosing a voltage based on the predicted size of the breast cancer nodule.
Co-Authors Alfargana, Tanzillal Artono Dwijo Sutomo Azizul Khakim, Azizul Cindyana, Adnan Devi, Nanda Astika Fajar Arianto Hayati, Widia Mohtar Yunianto, Mohtar Putri, Rahmanisya Fani Aisha Suharyana Suharyana Utari Utari Yunianto*, Mohtar