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Jurnal Fisika
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 2684978X     DOI : https://doi.org/10.15294/jf
Core Subject : Science,
Physics
urnal Fisika coverage extends across the whole of physics, encompassing pure, applied, theoretical and experimental research, as well as interdisciplinary topics. Research areas covered by the journal include
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 34 Documents
 1   2   3   4 
Characterisation of Green-Synthesized Fe3O4 Nanoparticles Using Areca Nut Seed Extract (Areca catechu L.) Shella Garelita; Lucky Zaehir Maulana; Febri Berthalita Pujaningsih; Rista Mutia Anggraini; Frastica Deswardani
Jurnal Fisika Vol. 16 No. 2 (2026): Jurnal Fisika 16 (2) 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v16i2.44233

Abstract

Fe₃O₄ (magnetite) nanoparticles have attracted considerable attention due to their potential applications in various fields. In this study, Fe₃O₄ nanoparticles were synthesized through a green synthesis method using areca nut (Areca catechu) extract as a reducing and stabilizing agent, with varying concentrations of 50% (GSP-50%), 80% (GSP-80%), and 100% (GSP-100%). X-ray diffraction (XRD) analysis showed the presence of an iron oxide phase consistent with Fe₃O₄. The crystallite size decreased from 11.18 nm to 8.49 nm with increasing extract concentration, accompanied by an increase in the degree of crystallinity from 67.38% to 75.46%, while the lattice parameter remained relatively constant. Scanning Electron Microscopy (SEM) analysis revealed agglomerated particle morphology, indicating that the observed particle size corresponds to an aggregate structure rather than individual nanoparticles. UV–Vis spectroscopy showed a blue shift in absorption with increasing extract concentration. The estimated optical band gap ranged from 3.3 eV to 3.5 eV, which may be influenced by particle size effects and surface state. Overall, the concentration of areca nut extract significantly affected the structural and optical characteristics of the synthesized iron oxide nanoparticles.
From Microscopic to Macroscopic: The Effect of Relativistic Mean Field Parameter Sets on Neutron Star Structure Alrizal Alrizal; Yoza Fendriani; M. Ficky Afrianto; Jesi Pebralia; Fairuz Athaya zahran Tane Tane
Jurnal Fisika Vol. 16 No. 2 (2026): Jurnal Fisika 16 (2) 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v16i2.47273

Abstract

Neutron stars, as extremely compact astrophysical objects, provide a unique natural laboratory for investigating the physics of compact matter. Neutron stars can be described from two complementary perspectives, namely microscopic and macroscopic states. The microscopic state is characterized through the relativistic mean-field (RMF) equation of state, which describes the dynamics of dense matter inside the star. The macroscopic state, on the other hand, is described by the Tolman–Oppenheimer–Volkoff (TOV) equations, which determine the global stellar structure. This study aims to examine how the microscopic properties of neutron stars influence their macroscopic behavior by varying the microscopic coupling constants encoded in different RMF parameter sets. The parameter sets employed in this work are taken from well-established and widely validated RMF models in the literature, including NL3, FSUGold, S271, and Z271. Through numerical modeling, the effects of variations in these parameter sets on the maximum mass, radius, energy density, and pressure of neutron stars are systematically investigated. The results demonstrate that the choice of parameter set has a significant impact on the maximum mass that a neutron star can support. In particular, stiffer parameter sets lead to larger maximum masses, whereas softer parameter sets result in smaller maximum masses.
Seismic Vulnerability Analysis using Microseismic Methods in Kepahiang District, Bengkulu Muchammad Farid; Arif Ismul Hadi; Refrizon Refrizon; Hana Raihana; Nurul Apriyanti
Jurnal Fisika Vol. 16 No. 2 (2026): Jurnal Fisika 16 (2) 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v16i2.47372

Abstract

This study aims to analyse subsurface geological conditions and seismic vulnerability levels using the microseismic method with 17 measurement points to obtain the Seismic Vulnerability Index (SVI) and shear wave velocity (Vs) parameters. The analysis results show a strong correlation between these two parameters in identifying weak subsurface zones that have the potential for earthquake wave amplification. High SVI values indicate significant vibration amplification potential. The Vs results reinforce these findings, with point 3 having the highest Vs value of 1,491.99 m/s (Hard Rock/SA), indicating dense and compact rock, while point 14 has the lowest Vs value (Soft Soil/SE), reflecting a soft layer with high amplification potential. The integration of SVI and Vs parameters confirms that point 14 is a critical zone with the highest seismic vulnerability, requiring special attention in disaster mitigation, spatial planning, and infrastructure development.
Assimilation Of Radar Data For The Identification Of Downslope Windstorm Using The 3DVAR Assimilation Method Sumihar Siahaan; Aries Kristianto
Jurnal Fisika Vol. 16 No. 2 (2026): Jurnal Fisika 16 (2) 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v16i2.33940

Abstract

Assimilation of radar data is highly important for improving the accuracy in simulating atmospheric conditions. Radar data are used to refine initial data to align with the actual atmospheric conditions. This technique can be applied to detect complex atmospheric dynamics involving mountainous topography. Mountain waves and downslope windstorms are two phenomena typically interconnected, where intense downslope winds in deep cross-mountain flow trigger strong mountain waves in the stable lower atmospheric layer. The research was conducted from October 8 to 10, 2024, with simulation data covering October 7 to 11, 2024, for the spin-up process. The objectives of this study are to understand the atmospheric dynamics conditions, identify the types of mountain waves and downslope windstorms, and simulate mountain wave and downslope windstorm phenomena using WRF-CTL and WRF-DA. The research findings indicate that the atmospheric stability before the event showed strong static stability with speeds reaching 2.4 m/s, while after the event, there was an increase in dynamic turbulence. The parameters used include the Brunt-Väisälä Frequency with values ranging from 0.09001948 N² to 0.134224952 N², the Richardson Number with values ranging from 2.05 to 10.00, the Scorer Parameter with values from 0.1 1/m to 0.3 1/m, and the Froude Number with values indicating 0.2 to 1.4. The research results show that radar data assimilation successfully enhanced the simulation accuracy compared to WRF-CTL. Mountain waves were identified as vertical propagating waves during the day with vertical propagation up to 400 mb and trapped lee waves at night with horizontal oscillations spanning 18-25 km. The downslope windstorm was classified as a shallow cross-mountain flow with a flow depth of less than 1 km.

Page 4 of 4 | Total Record : 34

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