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Siti Utari Rahayu
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Journal of Technomaterial Physics
Published by TALENTA PUBLISHER
ISSN : 26560747     EISSN : 26560755     DOI : https://doi.org/10.32734/jotp
Core Subject : Science, Engineering,
Astronomy Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics
Journal of Technomaterial Physics (JoTP) is a peer-review national journal that is published twice a year, in February and August. JoTP provides an open access policy for the writer and free publication charge. Due to its open access policy, JoTP serves online publication and a fast review process. The scope of this journal are: 1. Theoretical Physics 2. Applied Physics 3. Material Physics 4. Computational Physics and Machine Learning 5. Experimental Physics 6. Nuclear Physics and Particle Physics 7. Biophysics and Medical Physics 8. Geophysics 9. Energy and Energy Conversion 10. Advanced Materials (photonics, nanomaterial and nanotechnology) 11. Electronics and Electrical Engineering 12. Metrology JoTP receives an original article with the maximal length of 10 pages and provides an open access policy for the writers and free publication charge.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 155 Documents
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Python-Based Visualization of Fermi-Dirac and Bose-Einstein Distributions in Three-Dimensional Ideal Quantum Gases Murnia; Rania Dwicahyani; Neysya Ditha Ramadhani; Hamdi Akhsan; Melly Ariska
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.25924

Abstract

Quantum statistics describe the behavior of indistinguishable particles through the Fermi–Dirac (FD) and Bose–Einstein (BE) distributions. This study compares both distributions directly to emphasize their fundamental statistical differences. A Python-based computational model was developed to visualize the contrasting behaviors of FD and BE distributions in a unified 3D representation. The simulation uses NumPy and Matplotlib with an energy interval of 0.01–1.00, temperatures ranging from 100 K to 600 K, and a chemical potential of  The results show that the FD distribution forms a sharp profile near the Fermi energy and becomes step-like at low temperatures, while the BE distribution rises sharply as the chemical potential is approached, reflecting the characteristic mathematical divergence of Bose–Einstein statistics rather than indicating actual Bose–Einstein condensation. As temperature increases, the differences between the Fermi–Dirac and Bose–Einstein distributions become less pronounced, consistent with the expected high-temperature limit. The model yields an average relative deviation below 0.5%, confirming numerical stability and accuracy. This work provides an open-source Python framework for the visualization and comparative analysis of ideal quantum statistical distributions, intended primarily for educational and computational purposes rather than for predicting new physical phenomena.
Optical, Electrochemical, and Photovoltaic Evaluation of Suji Leaf (Dracaena angustifolia) Extract as a Natural Sensitizer for Dye-Sensitized Solar Cells Asti Sawitri; Hasniah Aliah; Siti Nur Jaoharoh Muthmainnah; Ryan Nur Iman
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.26017

Abstract

A dye-sensitized solar cell (DSSC) is a third-generation solar cell technology that uses a dye as a sensitizer to convert light energy into electrical energy. This study aims to evaluate the potential of suji leaf extract (Dracaena angustifolia) as a natural dye for TiO₂-based DSSC using acetone and ethanol as solvents. Characterization was performed using UV-Vis, cyclic voltammetry (CV), and current–voltage (I–V) measurements. The UV-Vis results showed a maximum absorption peak at around 655 nm, indicating the dominance of chlorophyll pigments. The acetone extract produced higher absorbance and chlorophyll-a content than the ethanol extract. The CV results showed that the HOMO and LUMO energy levels of the acetone extract were −4.86 eV and −4.29 eV, respectively, whereas those of the ethanol extract were −4.90 eV and −4.44 eV. DSSC testing revealed that the acetone extract yielded a higher Voc value (0.0194 V) compared to the ethanol extract (0.0175 V), while both exhibited a Jsc value of 0.0667 mA·cm-2. The ethanol extract achieved a higher FF (57.9%) than the acetone extract (53.2%). The power conversion efficiencies obtained were 0.050% for the acetone solvent and 0.049% for the ethanol solvent. The results indicate that suji leaf has potential as a natural sensitizer in DSSC, with performance influenced by the choice of extraction solvent.
A Diffusion-Controlled Model for Swelling Behavior in Polymeric Hydrogels Marathur Rodhiyah; Muhammad Risyad Naufal; Tyas Al Arandi; Yuan Alfinsyah Sihombing
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.26077

Abstract

Hydrogels are cross-linked polymer networks capable of absorbing large amounts of water, supporting diverse biomedical, pharmaceutical, and agricultural applications. Their swelling behavior is governed by water diffusion within the polymer matrix and is commonly described by the classical Crank solution for Fickian diffusion in a plane sheet, expressed in terms of the normalized fractional water uptake (Mt/M∞). Therefore, an additional conversion is required to relate it to the swelling degree S(t).This study presents the one-dimensional Fickian diffusion solution for a hydrogel slab of thickness L, with surfaces held at a constant equilibrium concentration, and recasts it as a closed-form expression for the time-dependent swelling degree, S(t), directly in terms of the effective diffusion coefficient (D) and the equilibrium swelling degree (Seq). The resulting solution reproduces characteristic Fickian relationship at short times, and predicts the scaling law . Parametric analysis further shows that governs the swelling rate, whereas  determines the equilibrium swelling capacity. The predicted trends are qualitatively consistent with reported hydrogel swelling behavior. Whereas the classical Crank model focuses on relative water uptake, the proposed formulation translates diffusion kinetics into the swelling degree, S(t), enabling direct interpretation of measurable swelling behavior through a simple and physically meaningful analytical framework.
Measurement and Spatial Analysis of Terrestrial Radiation in Western Peling Island Elma Annisa Sari; Asri Arbie; Icha Untari Meidji; Syafril Agustion Tomayahu; Siti Sarah Dayanun; Awaludin Ismuhu
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.26137

Abstract

Located in an archipelago characterized by carbonate rock formations, coastal environments, human settlements, and the use of locally sourced rock materials, the western part of Peling Island may exhibit a distinctive radiation pattern. This study aimed to determine the terrestrial nuclear radiation dose rate, map its spatial distribution, and evaluate whether the observed exposure levels correspond to dose limits for the general population. Field measurements were conducted using an Android-based Pocket Geiger detector with coordinate recording capability. A total of 114 observation points were established using a 1500 × 1500 m grid sampling scheme, with measurements taken at approximately ±1 m above ground level to minimize the direct influence of ground radiation. Dose rate data (µSv/h) were analyzed descriptively to obtain maximum and average values, while spatial distribution mapping was performed using Python via Google Colab. The measured radiation dose rates were generally low, with a range of 0.00-0.24 µSv/h and an average of 0.0566 µSv/h. The estimated annual effective dose was 0.0995 mSv/year in residential areas and 0.0653 mSv/year in coastal areas, which is still below the 1 mSv/year limit recommended by ICRP and BAPETEN. These findings indicate that the study area is safe from terrestrial nuclear radiation exposure during the measurement period.
Effect of Natural Pahae Zeolite Addition on the Mechanical and Physical Properties of Areca Nut Fiber Reinforced Polyester Composite Boards Susilawati; Rosi Adelia Simanjuntak; Yuan Alfinsyah Sihombing; Manovri Yeni
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.25455

Abstract

This study investigates the effect of natural Pahae zeolite as a locally sourced mineral filler on the mechanical and physical properties of areca nut fiber–polyester composite boards. The novelty lies in combining natural Pahae zeolite with areca nut fiber to integrate organic fiber reinforcement and inorganic mineral filling. Composite boards were fabricated using polyester resin, areca nut fiber, and natural Pahae zeolite ratios of 60:40:0, 60:30:10, 60:20:20, 60:10:30, and 60:0:40 by hot pressing. The optimum composition was 60:10:30, yielding the highest Modulus of Rupture (MoR) of 177.3 MPa, Modulus of Elasticity (MoE) of 875.08 MPa, and compressive strength of 212.66 MPa. Increasing zeolite content also affected density and moisture content, while excessive zeolite addition (40 wt%) reduced mechanical performance, potentially due to particle agglomeration and increased brittleness. SEM–EDX analysis revealed morphological changes and increased Si and Al contributions with increasing zeolite content. All MoR values exceeded the minimum requirements of SNI 03-2105-2006 and JIS A 5908:2003, whereas the MoE values did not meet the applicable requirements. These findings demonstrate the potential of natural Pahae zeolite as a locally sourced mineral filler for natural fiber–polyester composites and its role in improving flexural performance at an appropriate composition.

Page 16 of 16 | Total Record : 155

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