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Ali Khumaeni
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Journal of Physics and Its Applications
Published by Universitas Diponegoro
ISSN : -     EISSN : 26225956     DOI : 10.14710
Core Subject : Science,
Astronomy Earth & Planetary Sciences Materials Science & Nanotechnology Physics
Journal of Physics and Its Applications (JPA) (e-ISSN: 2622-5956) is open access, International peer-reviewed journal that publishes high-novelty and original research papers and review papers in the field of physics including Radiation Physics, Materials, Geophysics, Theoretical Physics, Instrumentation and Electronics, Medical Physics, Biomedical Physics, Chemical Physics, Mathematical Physics, and Applied Physics. The JPA publishes two issues annually (May and November). The journal is published by Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Indonesia.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 9 Documents
 1 
Search results for , issue "Vol 7, No 4 (2025): November 2025" : 9 Documents clear
Characteristics of Blue, Red, and Green Lasers for an Object Recognition System as Unique Markers Sugiarto, Iyon Titok; Aulia, Jasmine; Radila, Zahra; Azhari, Zaenal Afif; Tresna, Wildan Panji
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.27483

Abstract

Computer Vision (CV) is an automation technology with applications in national defense, particularly for enabling automated object targeting systems. This study focuses on developing a unique marker detection system to support such targeting capabilities. The markers consist of laser beams characterized by distinct colors, shapes, sizes, and blinking patterns, designed to be identifiable only by a programmed computer system. Incorporating these laser properties as input parameters is essential for effective object recognition. Experimental results indicate that the detection threshold was calibrated to identify red, green, and blue colored objects under indoor lighting conditions of 71.3 Lux. The CV system successfully identified a circular marker positioned 680 cm away from triangular and square markers. In distance estimation tests using a Logitech C615 HD camera, the system achieved average error rates of 4% for circles, 5% for rectangles, and 6% for triangles. Overall, the system demonstrated a tracking accuracy of 95.24% for unique markers placed at distances ranging from 50 to 300 cm.
Classification of CT Scan Images of Stroke Patients and Normal Brain Based on Histogram, GLCM, and GLRLM Texture Features using K-Nearest Neighbor Azizah, Fitria Kholbi; Putri, Diana Salsabila; Permana, Riyan; Sumarti, Heni; Darma, Panji Nursetia
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.27259

Abstract

Stroke is a major neurological disorder requiring rapid and accurate diagnosis for effective treatment. Computerized Tomography (CT) scanning provides detailed brain imaging but requires expert interpretation. This study aims to develop an automated classification system to distinguish between normal and stroke-affected brain CT scan images using texture feature analysis, providing enhanced accuracy and robustness compared to existing single-feature approaches. A total of 200 CT scan images (100 normal, 100 stroke cases) from the Kaggle database were analyzed. Texture features were extracted using Histogram, Gray Level Co-occurrence Matrix (GLCM), and Gray Level Run Length Matrix (GLRLM) analysis. The KNN algorithm was evaluated using percentage split validation, with the training set ranging from 50% to 70% of the data. The KNN classifier achieved optimal performance with 93% accuracy, 91% precision, and 96% recall using a 50% training set, demonstrating its potential as a diagnostic support tool for healthcare professionals to facilitate faster diagnosis and treatment decisions. The integration of multiple texture analysis methods showed superior performance compared to individual feature extraction techniques. Histogram features contributed significantly to classification accuracy by enhancing the detection of tissue heterogeneity. Texture analysis revealed significant differences between normal and stroke images in entropy, contrast, and correlation parameters. The proposed method successfully classifies CT scan images of normal and stroke-affected brains with high accuracy, demonstrating potential for clinical implementation in automated stroke screening and diagnostic support.
Analysis of Dose Distribution Alpha and Secondary Particles in Therapy Alpha for Glioblastoma Cancer Using MCNP6 Software Agustina, Sheila; Suharyana, Suharyana; Kusumandari, Kusumandari; Arianto, Fajar
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.25893

Abstract

The alpha therapy modeling was performed for the treatment of glioblastoma brain cancer using MCNP6 software. The simulation used a head and neck phantom geometry, with a spherical shape of the radiation direction of the cancer cells with a radius of one cm divided into 27 targets. One radiation source is directed to each target center of the cancer cells with five energy variations, namely (430, 425, 415, 410, and 400) MeV. The simulation results are in the form of a distribution of absorbed doses in all targets and healthy cells around them. The simulation results show an average dose distribution of (1.2902 ± 0.0024) 10-11 Gy/alpha with an isodose level of 69.75%. The healthy organ that receives the largest dose and secondary particle distribution after cancer cells is the brain, with an accumulative dose of (1.7446 ± 0.0033) 10-15 Gy/alpha. The dose distribution on cancer cells shows that the irradiation time to kill glioblastoma cancer cells is (1456±0.14) seconds with an alpha current of 1 nA.
Numerical Analysis of the Doppler Effect in Circular Motion with Modulated Angular Velocity Using Python Firaina, Radha; Pramudya, Yudhiakto
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.26584

Abstract

This study presents a numerical simulation of the Doppler effect for an object in circular motion with time-modulated angular velocity, developed using the Python programming language. The model computes angular velocity, angular position, and observed frequency as functions of time based on a modified Doppler formulation. Two simulation models were implemented: an interactive mode using an IPython widget slider to vary the modulation constant (0 ≤ b ≤ 1), and a comparative mode evaluating three representative modulation strengths (b = 0.15, 0.20, 0.25). The results demonstrate that the modulation of angular velocity produces periodic fluctuations in the observed frequency, consistent with theoretical predictions. Sensitivity testing confirmed numerical stability (∆f < 0.01 Hz) with smaller time steps (∆t = 0.01 s), validating the robustness of the computational model. These findings quantitatively reveal the relationship between modulation parameters and Doppler frequency shifts, providing a reproducible and pedagogically effective framework for studying non-uniform circular motion and its physical implications in astrophysical and acoustic systems.
Review Impact of Compressed Breast Thickness and Exposure Parameters on Mean Glandular Dose (MGD) in Full-Field Digital Mammography Examination Victory, Vivi Sumanti; Noor, Johan Andoyo Effendi; Widodo, Chomsin Sulistya; Arifin, Zaenal
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.27371

Abstract

The purpose of this paper is to review and summarize the relationship between the average mammary gland dose (MGD) and compressed breast thickness (CBT) in digital mammography. The relationship between MGD and CBT, measured using a dosimeter, shows that the thicker the breast, the higher the MGD. However, the relationship between MGD and CBT using patient data (i.e., actual MGD values) may not be directly proportional to CBT because it can be influenced by other factors, such as age. MGD values are directly proportional to CBT when based on phantom measurements. Across various brands and types of mammography units, MGD values are not always directly proportional due to differences in K patterns (incident air kerma), which create different automatic exposure control (AEC) modes. In conclusion, CBT has a complex relationship with MGD. In general, MGD is positively correlated with CBT because increasing breast thickness requires a higher radiation dose to produce optimal image quality. However, this relationship is not always linear and can be negatively correlated under certain conditions, considering the influence of other parameters that can affect both CBT and MGD.
Analysis of Diffraction and Spectroscopy for bamboo Clam Shell Waste (Ensis S.P) as a Natural Source of Calcium Umamah, Chairatul; Andi, Herman Jufri; Kartikasari, Lisma Dian
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.29411

Abstract

Shell waste is a natural source of rich biominerals, primarily high-purity calcium carbonate (CaCO₃). This study utilized bamboo shell waste from three locations on the south coast of Pamekasan as a raw material for the synthesis of CaCO₃ compounds. The aim of this research was to characterize the composition of powdered bamboo clam shells as a source of natural calcium. The shells were prepared through several stages, including washing, drying, size reduction, and oven-drying at 105°C. They were then pulverized using a ball mill and sieved through a 200-mesh sieve. The resulting shell powder was characterized using XRF, FTIR, and XRD. The XRF results showed that the dominant chemical elements from the three locations were calcium (Ca) and its oxide compound (CaO), with average percentages of 97.95% and 98.09%, respectively. The FTIR analysis indicated the presence of CaCO₃ functional groups, namely CO₃²⁻, C–O, Ca–O, and C–H, identified by absorption peaks in range 400-4000 cm⁻¹. The XRD results confirmed that bamboo clam shells powders were contained of CaCO₃ as a single phase with the crystalline structure of aragonite (orthorhombic). Based on these results, it can be concluded that bamboo clam shell powder is a viable source of natural calcium minerals.
Pangandaran Earthquake and b-value Analysis for Better Understanding of Seismic Vulnerability in Java using Statistical Earthquake Data of 2002-2010 Wachidah, Siti Fauzatun; Wibawa, Agung; Ardhiansyah, Kurniawan; Syauqi, Muhammad
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/baf.%v.%i.%Y.%p

Abstract

The application of statistical methods in seismicity analysis can provide a robust description of the relationship between earthquake magnitude and frequency in each region. This statistical relationship is formulated using the Gutenberg-Richter law, which continues to be developed through empirical and analytical studies of earthquakes in many regions. This study aims to analyze two significant earthquakes that affected the island of Java in 2006: the destructive Yogyakarta earthquake on 27 May 2006 and the Pangandaran earthquake on 17 July 2006. Both events were generated by active subduction mechanisms on the southern side of the island, where earthquakes of various magnitudes occur periodically. Through a temporal and spatial analysis of the b-value, this study compares different earthquake catalogs and analyzes the seismic vulnerability of Java by calculating the deformation caused by the 2006 earthquakes. The calculated b-values from the USGS and IRISDMC earthquake catalogs are 1.38 ± 0.04 and 0.92 ± 0.01, respectively. The magnitude of completeness (Mc) values are 4.9 for the USGS catalog and 4.3 for the IRISDMC catalog. The earthquake data span from 2002 to 2010. Deformation calculations using the IRISDMC data for 2006 show that the Pangandaran earthquake resulted in a surface rupture length of 140.60 km, a rupture area of 3,235.94 km², and a displacement of 7.96 m.
Carboxymethyl Cellulose-Stabilized Platinum Nanoparticles Synthesized by Pulsed Laser Ablation for Enhanced CT Scan Contrast Wahyuddin, Wahyuddin; Jonathan, Felix; Hidayanto, Eko; Khumaeni, Ali
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.29925

Abstract

This study demonstrates the performance of platinum nanoparticles (Pt NPs) as contrast agents for computed tomography (CT). Synthesized through pulsed laser ablation, Pt NPs were stabilized in carboxymethyl cellulose (CMC). In CT imaging evaluations, the CMC-stabilized Pt NPs generated significantly higher Hounsfield Unit (HU) values and contrast-to-noise ratio (CNR) than both their DIW-based counterparts and a conventional iodine-based agent. Remarkably, this enhanced contrast was achieved at substantially lower ppm concentrations, highlighting the potential of CMC-stabilized Pt NPs to offer a more efficient and powerful alternative to current clinical standards.
Innovation of Portable Tectonic Earthquake Detection System with Arduino Uno: An Affordable Early Warning System Solution Hamidah, Selfi Nur; Putri, Davina Razaktya Kayla; Rizqullah, Muhammad Kalvin Al Azhaar; Urrofiqoh, Syita; Hawa, Asfa Malia; Nurita, Tutut; Widodo, Wahono
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.25201

Abstract

Indonesia, located in a highly seismic region due to the convergence of the Indo-Australian, Eurasian, and Pacific plates, requires affordable earthquake early warning systems. This research aims to develop an easy-to-use, portable tectonic earthquake detection system based on the Arduino Uno platform. The methodology encompassed the design of hardware and software, the installation of accelerometer sensors, and the programming of the Arduino to detect ground vibration intensity. Test results demonstrate that the system is sensitive to changes in vibration and can provide an audible warning via a buzzer when a predefined vibration threshold is exceeded. Although its accuracy is lower than that of professional seismographs, the system presents an economical solution for deployment in remote areas. Future development could incorporate GPS sensors and artificial intelligence to enhance its accuracy and expand its applicability across various disaster scenarios.

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