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Utama Alan Deta
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Jurnal Penelitian Fisika dan Aplikasinya (JPFA)
Published by Universitas Negeri Surabaya
ISSN : 20879946     EISSN : 24771775     DOI : https://doi.org/10.26740/jpfa
Core Subject : Science, Education,
Astronomy Earth & Planetary Sciences Education Materials Science & Nanotechnology Physics
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) is available for free (open access) to all readers. The articles in JPFA include developments and researches in Physics Education, Classical Physics, and Modern Physics (theoretical studies, experiments, and its applications), including: Physics Education (Innovation of Physics Learning, Assessment and Evaluation in Physics, Media of Physics, Conception and Misconceptions in Physics, hysics Philosophy anPd Curriculum, and Psychology in Physics Education); Instrumentation Physics and Measurement (Sensor System, Control System, Biomedical Engineering, Nuclear Instrumentation); Materials Science (Synthesis and Characteristic Techniques, Advanced Materials, Low Temperature Physics, and Exotic Material); Theoretical and Computational Physics (High Energy Physics, Gravitation and Cosmology, Astrophysics, Nuclear and Particle Phenomenology, and Computational and Non-Linear Physics); and Earth Sciences (Geophysics and Astronomy).
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "vol. 15 no. 1 (2025)" : 7 Documents clear
A Preliminary Study of Exhaled Breath Profiling of GERD-Asthma using an E-nose and Carbon Dioxide Concentration as Biomarkers Kasnawi Al Hadi; Ni Ketut Anggriani; Arif Budianto; Dewi Alya Nabilla; Dewi Nor Farahin
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 15 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v15n1.p1-11

Abstract

Carbon dioxide plays a vital role in the human body. Many studies confirm that changes in carbon dioxide concentrations can serve as biomarkers for various health problems. This biomarker can be detected using several techniques, including an electronic nose (e-nose). However, there is a limitation in the e-nose's function and development in specific health cases, especially in respiratory or other systems. In line with this, this study aims to develop an economical, simple e-nose based on a CO2 (carbon dioxide) gas sensor and to establish an exhaled breath profile related to asthma and GERD (gastroesophageal reflux disease), which are common daily health problems. For this purpose, 90 exhaled breath samples from three different health conditions were obtained as the primary breath profiling samples: healthy, GERD, and asthma. The samples were measured and analyzed using a simple e-nose based on a high-sensitivity carbon dioxide sensor. The e-nose was calibrated and tested under laboratory-scale procedures, including linearity, accuracy, and sensitivity examinations. Then, the collected samples were classified, analyzed, and interpreted to produce a profile prediction for those health problems. The results show that the e-nose system can measure CO2 gas concentrations in the range of 400-9700 ppm. There are three selective profiles of the exhaled breath samples: healthy (450 to 899 ppm), GERD (3327 to 5381 ppm), and asthma (6612 to 9706 ppm). It can be concluded that the developed e-nose can classify different health conditions. There is a significant difference between healthy, GERD, and asthma samples (p < 0.05). These differences were interpreted as breath profiles with an accuracy level of 84%. This research may contribute to a preliminary investigation of breath profiles for specific health problems, with a rapid response time and high accuracy.
Utilization of Zn Powder as a Precursor in Synthesis of rGO/ZnO Composite for Decolorization of Batik Wastewater Dwiria Wahyuni; Mariani Mariani; Asifa Asri; Ya Muhammad Arsyad
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 15 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v15n1.p12-26

Abstract

Batik wastewater contains high concentrations of synthetic dyes, significantly contributing to aquatic pollution. Photocatalysis is a promising method for degrading such dyes in textile effluents. This study aims to develop rGO/ZnO composites using zinc (Zn) powder as a precursor for photocatalytic applications. Reduced graphene oxide (rGO) was used as a substrate for ZnO particle formation. The composites were prepared by reacting Zn powder with rGO at varying loadings (5% and 10% by mass) in a neutral aqueous solution, followed by thermal treatment at 250 °C for 1 hour to facilitate Zn oxidation. The photocatalytic performance was evaluated by applying different masses of rGO/ZnO (0.2, 0.4, and 0.8 g) to degrade batik wastewater. Surface morphology and elemental composition were characterized using SEM-EDS. SEM analysis showed that rGO has a sheet-like structure, while ZnO exhibits spherical morphology. EDS confirmed the presence of Zn, C, and O as major elements with Nb impurity was identified in the composite. The carbon-to-oxygen (C/O) ratio increased after composite formation, reaching 4.23 for rGO/ZnO 5% and 3.79 for rGO/ZnO 10%. XRD characterization of rGO/ZnO confirms the presence of ZnO in the composite, with residual Zn peaks indicating incomplete oxidation of the Zn precursor. Photocatalytic activities modeled using pseudo-first-order kinetics reveal the 10% rGO/ZnO composite (0.8 g) shows the degradation efficiency of 67.91%, with a rate constant of 0.1623 h⁻¹. The efficiency may be affected by the complex nature of batik wastewater, particularly wax and resin residues that hinder photocatalytic activity. In conclusion, these findings highlight the potential of Zn powder as a precursor in the synthesis of rGO/ZnO composites with concentration of rGO and the mass variation of rGO/ZnO in the treatment of Batik wastewater affect the photocatalytic activity.
Characterizing Groundwater Aquifers in Warasia, Ambon City Using Electrical Resistivity Tomography Data and Archie's Law Samsul Bahri; Zulfiah; Muh. Riswan Anas Sukri; Yohanis Toni Batlolona; Wildan Nur Hamzah
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 15 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v15n1.p27-39

Abstract

Identifying aquifer characteristics is vital for groundwater management, especially in volcanic terrains. This study employs Electrical Resistivity Tomography (ERT) combined with Archie's Law to delineate subsurface lithology and estimate aquifer porosity in Warasia, Ambon City. Field data were collected using a resistivity meter with two ERT profiles extending 120 meters each. The resistivity data were processed and modeled using RES2DINV, while water samples from wells were analyzed for physical parameters, including pH, conductivity, and total dissolved solids (TDS). The results reveal aquifers at depths of 3–5 meters, primarily hosted in volcanic tuff with resistivity values of 4.22–72.7 Ωm, indicating moderate to fair porosity (7.20%–14.01%). In contrast, lava formations exhibit significantly lower porosity (0.82%–1.02%) due to their solid structure. Archie's Law was instrumental in correlating resistivity with porosity, considering local lithological variability. The findings underscore the effectiveness of integrating ERT and Archie's Law for groundwater exploration in complex geological settings.
Analytic Method And Matrix Diagonalization On Eigen System Of Hermitian Matrix Operator Bambang Supriadi; Sisilia Nur Hikmah Anggraeni Anggraeni; Badriyah; Fidia Alhikmah Putri; Puput Aprilia Eka Sari; Indah Selviandri; May Yani br Sembiring
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 15 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v15n1.p40-51

Abstract

The solution of the Hermitian eigenoperator matrix problem produces an eigensystem consisting of eigenvalues ​​and eigenvectors. This study aims to determine the complete solution of the eigensystem and the diagonalization of the Hermitian order matrix operator.  analytically. The results of the study show that every eigenproblem in the Hermitian matrix operator  generate several eigenvalues  according to the order of the matrix operator, the eigenvalues ​​are real numbers. Eigenvectors,  of the Hermitian matrix operators are orthogonal because  and   thus forming a basis matrix  and is unitary. A Hermitian matrix can be diagonalized through its basis matrices and a diagonal matrix is ​​obtained.  whose diagonal elements are the eigenvalues ​​of the Hermitian operator.
Primordial Helium In The Left-Right Symmetry Model With Extra Scalar Fields Istikomah Istikomah; Amara Ega Prasheylia; Hamdan Hadi Kusuma
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 15 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v15n1.p52-70

Abstract

Big Bang Nucleosynthesis (BBN) is a crucial phase in the universe's evolution, occurring approximately 1 second after the Big Bang. The BBN theory predicts a primordial Helium-4 abundance of about 25%, offering key limits on the number of light particles present at BBN temperatures. The Left-Right Symmetry Model with an Extra Scalar Field is a development of the Standard Model that adds a massive scalar field, which can decay into relativistic particles. This research aims to determine the temperature ratio between the right and left sectors, the mass limit of the massive scalar field consistent with BBN constraints, and the primordial helium abundance. This research is theoretical. The research objectives can be achieved with various methods; the Yukawa Lagrangian and the Scalar Potential are depicted in a Feynman Diagram, which then calculates each sector’s decay rate and temperature changes. The temperature ratio of the right and left sectors when the BBN took place in this model was 0.08-0.09. The BBN constraint imposes a dimensionless bound expressed as the mass ratio of the scalar field in the right sector to that in the left sector is . The abundance of primordial Helium-4 in the left sector is 25%, according to the Standard Model, while primordial Helium-4 in the right industry is 79%-87%. Thus, the Left-Right Symmetry Model with Extra Scalar mode satisfies the constraints of BBN words.
A Generalizable AI-Based Framework for Automated Slice Sensitivity Profile and Slice Thickness Measurement Across Multi-Phantom and Multi-Scanner CT Systems Nur Hadziqoh; Nani Lasiyah; Rino Ferdian Surakusumah; Arda Yunianta; Nurul Maisarah Binti Kamaruddin
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 15 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v15n1.p71-88

Abstract

Slice Sensitivity Profile (SSP) and its Full Width at Half Maximum (FWHM) are critical indicators of longitudinal resolution and effective slice thickness in computed tomography (CT), forming a cornerstone of quality assurance (QA) protocols. This study introduces a robust and vendor-neutral framework for automated SSP and FWHM measurement using a deep learning-based approach, designed to overcome the limitations of manual, scanner-specific, and phantom-specific methods. A U-Net convolutional neural network was trained on annotated CT phantom images—including AAPM, Catphan, and ACR models—acquired across Philips, Siemens, and GE CT systems with varied slice thicknesses (1.0 mm and 5.0 mm). The pipeline includes automatic stair-step object segmentation, angular correction via Hough Transform, profile extraction, and real-time FWHM computation. Validation against manual measurements demonstrated strong correlation (r > 0.97) and mean absolute errors below 0.2 mm, with no statistically significant differences across stair-step positions (p > 0.05). The system showed excellent repeatability (CV < 1.5%) and reproducibility (CV < 2.5%), even with phantom repositioning and inter-operator variability. Additionally, the framework maintained consistency across all phantom types and scanner brands, confirming its cross-platform reliability and alignment with IEC 61223-3-5 and AAPM performance standards. These results position the proposed method as a generalizable and scalable QA solution, suitable for clinical integration, automated reporting, and longitudinal CT performance monitoring.
Analysis of Radiographic Image Quality in Computed Radiography with Variations in Subject Thickness and AEC Sensitivity Settings Tsany Najmah Aziz Yenuuar; Sri Oktamuliani
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 15 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v15n1.p89-102

Abstract

This study evaluates the influence of subject thickness variations and Automatic Exposure Control (AEC) sensitivity on radiographic image quality in Computed Radiography (CR) systems. A total of 16 radiographic images were analyzed, consisting of 12 images obtained from polymethyl methacrylate (PMMA) phantoms and 4 images from the TOR CDR phantom. Experiments were conducted using phantoms with thicknesses of 10, 15, 20, and 25 cm. Radiographic exposures were performed at a fixed tube voltage of 70 kV, with the AEC system automatically adjusting the tube current-time product (mAs). For each PMMA thickness, exposures were repeated three times to evaluate Signal-to-Noise Ratio (SNR), contrast, and Exposure Index (EI), while TOR CDR images were acquired once per thickness variation. Image quality was assessed through Signal-to-Noise Ratio (SNR), contrast, and Exposure Index (EI) using ImageJ software and One-way ANOVA statistical testing. Results demonstrated that while the AEC effectively maintains contrast (p = 0.202) and EI (p = 0.796) within optimal diagnostic ranges, the SNR decreases significantly as subject thickness increases (p = 0.001). Optimal image quality was achieved at 10 cm for the TOR CDR phantom and 15 cm for the PMMA phantom. The study concludes that although AEC regulates dose consistency, additional protocol optimization is necessary for subjects exceeding 20 cm to mitigate SNR degradation caused by scattered radiation.

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