cover
Contact Name
Ali Khumaeni
Contact Email
khumaeni@fisika.fsm.undip.ac.id
Phone
+62247474754
Journal Mail Official
jpa@live.undip.ac.id
Editorial Address
Department of Physics Faculty of Science and Mathematics Diponegoro University Jl Prof Soedharto SH, Tembalang, Semarang, Indonesia
Location
Kota semarang,
Jawa tengah
INDONESIA
Journal of Physics and Its Applications
Published by Universitas Diponegoro
ISSN : -     EISSN : 26225956     DOI : 10.14710
Core Subject : Science,
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.
Articles 83 Documents
Rice Grain Classification using Fourier Transform Infrared Spectroscopy Technique and Laser Induced Breakdown Spectroscopy Prihasty, Wilda
Journal of Physics and Its Applications Vol 7, No 3 (2025): August 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i3.25809

Abstract

Rice is the main source of carbohydrates for Indonesian people and consumed to fulfill the nutritional needs of the body. The most commonly used method to find out nutrient content in rice grain is a chemical analysis based method that quite difficult and requires a considerable time. Therefore, spectroscopic-based measuring methods are the solution of these problems. A preliminary research is conducted to develop an accurate prediction methods of amylose, phenolic and flavonoids content, also elements contained in rice grain. Chemical analysis method used to determine of amylose, phenolic and flavonoid content then used as a validation. The predictive system is carried out using Partial Least Square (PLS) methods to determine amylose, phenolic and flavonoid content based on Fourier Transform Infrared (FTIR) spectrum. Meanwhile, Laser Induced Breakdown Spectroscopy (LIBS) used to figure out the elements contained in the rice. The Classification of rice grain using Principal Component Analysis (PCA) method based on FTIR and LIBS Spectrum.  The results of this research, obtained a prediction system to determine levels of amylose, phenolic and flavonoids with the values coefficient of determination 0.95; 0.86; 0.95 and the RMSE value 1.4; 0.72; 0.44. Based on the spectrum of LIBS obtained from 13 types of rice grain, the elements contained in the rice grain are Mg, Fe, Na, K, Ca, C, H and O. The Classification of rice grain based on FTIR and LIBS spectrum obtained, namely High Quality; Premium and Medium.
Comparison Between Seismic Inversion and Seismic Inversion with Bayesian Inference in Acoustic Impedance Raharjo, Wiji; Palupi, Indriati Retno; Alfiani, Oktavia Dewi
Journal of Physics and Its Applications Vol 7, No 3 (2025): August 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i3.25867

Abstract

Finding reflection coefficient of seismic trace data is very important to be analyzed in some geological features. Reflection coefficient describes the medium of the subsurface based on Acoustic Impedance (AI) data. Model based seismic inversion is one way that can be used to find reflection coefficient of trace seismic. It needs several steps, like generating calculated trace seismic due to the original one before inversion. Unfortunately, the process is very complicated to reach a best result indicated by error value tends to be zero. While Bayesian MCMC offers the easier way, by setting mean and standard deviation values, it will generate calculated seismic trace data automatically with high similarity to the original one.  In other words, Bayesian MCMC helping the inversion process to be shorter. Finally, we have proven that Bayesian MCMC gives the better result of reflection coefficient of model based seismic inversion method.
Study of Potential Land Subsidence in East Aceh Region Based on Sediment Characterization Using Logging Data Hasyem, Tarmizi; Miska, Layna; Syukri, Muhammad; Hapsari, Tika; Darisma, Dian; Maghfirah, Zahratul; Ikhlas, Ikhlas
Journal of Physics and Its Applications Vol 7, No 3 (2025): August 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i3.25599

Abstract

Observations to determine subsidence potential were conducted in East Aceh, based on sediment characterization using logging data. The study encompassed 9 measurement sites representing 9 villages from 9 sub-districts. The data used obtained from the Aceh Energy and Mineral Resources Service (ESDM). This data is processed to obtain the resistivity value of the subsurface sediment layer. The measurement results were then depicted in 1D profile illustrating the cross-section of subsurface lithology for each measurement point. Subsequently, several measurement points were correlated to generate a 2D bottom image representing two regions, referred to as cross-section A-A' and cross-section B-B'. The correlation outcomes revealed that cross-sectional area A-A', spanning approximately ±50 km from east to west through Cot Geulumpang Village, Java Village, Kuala Lawah Village, Bukit Seroja Village, and Rantau Panjang Village, shows a shallow surface layer consisting mostly of sand and sandy clay soil. The sand layer in this area exhibited a medium to fine size with a configuration of round-shaped particles containing quartz and shell minerals, forming a soft sediment layer. The structure and type of sediment in this area indicate the potential for land subsidence.