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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 440 Documents
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Identification of HOTS Creative Thinking, Science Process Skills and Digital Literacy in Physics Subject Astalini Astalini; Darmaji Darmaji; Dwi Agus Kurniawan; Minarsih Minarsih
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 1 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n1.p47-61

Abstract

High Order Thinking Skills (HOTS) creative thinking, science process skills and digital literacy of students are important components in learning, especially learning physics. The purpose of this study was to find out how High Order Thinking Skills creative thinking, science process skills and digital literacy of students at SMAN 8 Muaro Jambi. The data collection instrument used a question sheet for HOTS creative thinking, an observation sheet for science process skills and a questionnaire for digital literacy. The data analysis in this study was quantitative using descriptive statistics and qualitative using Miles & Huberman. The results of the data obtained are then grouped using a Likert scale. The flow of this research is to prepare instruments and interview sheets, conduct interviews with teachers and students, distribute instruments, analyze data and obtain data results. The results of this study are HOTS, KPS and digital literacy in class X MIPA 5 are greater than X MIPA 3 with successive values ​​in class X MIPA 5 are 80.25, 83.20 and 72.87 while class X MIPA 3 is 80.69, 85.40 and 74.81. So from these data it can be seen that the ability of students to think creatively increases in line with science process skills and digital literacy and vice versa. Science process skills help improve students' creative thinking skills by using practicum-based learning. Digital literacy helps students to get various kinds of physics learning resources, materials, modules, questions and exercises. Digital literacy also helps students to do online practicum by utilizing digital media and the web. So that the creative thinking skills, science process skills and digital literacy skills of students influence each other.
The Analysis of the Physical Quantity N Grid, v, and dt in Solving the Schrödinger Equation Using the Crank-Nicolson Method Purwaningsih, Sri; Fardela, Ramacos
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 1 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n1.p1-13

Abstract

Solving the Schrödinger equation may result in a wave function of a particle in a quantum system, which can afford the information with respect to the particle’s behavior. The Schrödinger equation is useful for examining probability density and determining a wave function of free particles. This research focuses on solving the Schrödinger equation using the Crank-Nicolson method in free particles. The Crank-Nicolson method is a method of solving partial differential equations in the form of the Schrodinger equation, this method is very stable and accurate in giving numerical results. The result indicates that probability density and the form of the wave function of free particles are identified by varying the v, N grid, and dt. When dt = 1, v = 1, and v = 2, and the N grid remains at a score of 100, we acquire the same forms of the wave function and probability density. And yet, when dt = 2, v =2, and the N grid remains at a score of 100, the form of the wave function and probability density is constricted in one area. The N grid and dt are the two most affecting factors on the three variants. Using the Crank-Nicolson method, we can determine the wave function and probability for free particles by varying the value of N grid, dt.
Implementation of the Poisson Impedance Inversion to Improve Hydrocarbon Reservoir Characterisation in the Poseidon Field, Browse Basin, Australia Hartagung, Riky Tri; Rosid, Mohammad Syamsu
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p102-114

Abstract

The prediction process of lithology and fluid content is the most important part of reservoir characterization. One of the methods used in this process is simultaneous seismic inversion. In the Poseidon field, Browse Basin, Australia, the parameters generated through simultaneous seismic inversion cannot accurately characterize the reservoir because of the overlapping impedance values between hydrocarbon sand, water sand, and shale, which cause a high level of ambiguity in the interpretation. The Poisson impedance (PI) inversion provides a solution to this problem by rotating the impedance a few degrees through coefficient c. Coefficient c is obtained through the target correlation coefficient analysis by finding the optimum correlation coefficient between the PI and the target log, namely, gamma rays, effective porosity, and resistivity. The results show that the PI gives better outcomes in separating hydrocarbon-saturated reservoir zones. Based on the results of the lithology impedance–gamma rays, the ϕI-effective porosity cross-plot, and the fluid impedance-water saturation (Sw) cross-plot, with optimum correlations of 0.74, 0.91, and 0.82, respectively. The lithology of hydrocarbon-saturated porous sand is at values of LI ≤ 2800 (m/s)(g*cc), ϕI ≤ 5500 (m/s)(g*cc) and FI ≤ 4000 (m/s)(g*cc). The presence of low values for LI, ϕI and FI correlates accurately with the presence of hydrocarbons in the well. Each value of c is then applied to the seismic data. The results show that this method can determine the distribution of gas-saturated porous sand on the seismic inversion section in the northeast–southwest direction.
A Bibliometric Analysis of Carbon Dots in Sensors Application Putro, Permono Adi; Hardhienata, Hendradi; Isnaeni, Isnaeni; Ahmad, Faozan; Khaerudini, Deni Shidqi; Prasetyo, Andhika Prima; Maddu, Akhiruddin
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p138-155

Abstract

The exponential increase in carbonaceous-based research has prompted the scientific community to apply it to numerous value-added applications. This paper aimed to systematically analyze the comprehensive contributions clusters of publications per year, country, institution, authors, and keywords-wise by using a quantitative review technique called bibliometric analysis. The data was retrieved from the Scopus database to identify the overall scientific trend results with the keyword "carbon dots as a sensor" from 2010 to 2020. The VOSviewer, WordItOut, and Datawrapper are selected as tools for bibliometric analysis and data visualization. In this work, the total citations from the Scopus Core Set and the total citations in the most recent year have only been used for the assessment of highly cited papers. The results showed that after 2014, the number of publications increased significantly with the work related to “carbon dots as sensors.” Thus, comprehensive journals like the Angewandte Chemie - International Edition were the most popular in publishing articles, contributing to almost 6.39% of the research area. The country-wise analysis revealed that China accounted for more than 67.18% of the articles published, followed by the United States and India, comprising 6.24% and 6.13%, respectively. Lastly, keyword cluster analysis revealed five major research hotspots for future discussion. Thus, this analysis provides an important starting point for further studies on research concerning the direction of "carbon dots as a sensor" for positive development in the research area.
Ti4+ Substitution on Structure and Conductivity of LiNi0.8Mn0.1Co(0.1-x)TixO2 as Battery Cathode (x = 0.01, 0.02, and 0.03) Maya Puspitasari Izaak; Yohanes Edi Gunanto; Henni Sitompul; Yustinus Purwamargapratala
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p92-101

Abstract

Various cathodes have been studied to obtain cathode materials with high energy density and are inexpensive and environmentally friendly. Ti4+ substitution is one strategy to achieve this. Ti4+ doping has been done on Co2+ to reduce the level of toxicity. The objective of this research was to look at the impact of Ti4+ substitution on LiNi0.8Mn0.1Co(0.1-x)TixO2 so that it can be used as a battery cathode. The samples were prepared by the solid-state reaction method using high energy milling (HEM) in a wet state using ethanol. The phase formation of the material was characterized using XRD, surface morphology was characterized using SEM, and electrical conductivity was characterized using LCR-Meter. The finding showed that the particles experienced agglomeration, with the average size of the primary particles ranging from 300-500 nm and the secondary particle sizes ranging from 1-3mm. The morphology of the sample shows polycrystals. The maximum electronic conductivity obtained was 2.3 x 10-5, 2.4 x 10-5, and 3.2 x 10-5 S/cm for x = 0.01, 0.02, and 0.03, respectively. Another impact is increasing the cell volume and conductivity. With this high electrical conductivity value, this material is suitable for use as a battery cathode.
The Effect of Sample Density of Mixed Husk and Bran on Reflection and Transmission Coefficient of Acoustic Waves Abdjul, Tirtawaty; Kurniasari, Septiana; Katili, Nancy; Payu, Citron Supu
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p127-137

Abstract

Noise is a sound that is not desired because it is not in accordance with the context of activity, space, and time so it can cause disturbances to comfort and even human health. Twoof the basic ingredients of a silencer are husk and bran. This research aimed to determine the effect and model of the relationship of the density of the sample mixture of husks and bran on acoustic waves' reflection coefficient and transmission coefficient. The method used in this research is experimental, using a mixture of husk and bran samples whose density consists of 5 variations. The results showed that the husk and bran mixture's sample density strongly affected the reflection coefficient (r = 0.947 to r = 0.966) and the transmission coefficient (r = -0.962 to r = -0.999). These resultsshow that the greater the sample density of the husk and bran mixture, the greater the absorption intensity fraction produced. Statistically, the level of influence is indicated by the correlation coefficient, whose value is around r = 0.95 to r = 0.99. Based on the results, the reflection and transmission coefficients are influenced by the density of the mixture of husk and bran samples.
The Effect of Couple Doping Gd and Co on The Physical Characteristics of LaFeO3 Thick Film for Acetone Gas Sensor Application Haryadi, Hendi; Syarif, Dani Gustaman; Suhendi, Endi
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p115-126

Abstract

The acetone gas sensor is one type of sensor being researched for its application because it detects the presence of diabetes in sufferers. Gas sensors with high sensitivity and low operating temperature have been extensively investigated for this purpose, and this research is focused on the same purpose. Synthetization and characterization of LaFeO3 with co-doping Gd2O3 and CoO thick film ceramics for acetone gas sensor was conducted. LaFeO3 was made using the co-precipitation method with 2.5% CoO for each and 0%, 2.5%, and 5% Gd2O3 variation to the LaFeO3. The LaFeO3 thick film was prepared using the screen-printing technique and calcined at 800°C for two hours. The analysis of crystal structure characterization using X-Ray Diffraction (XRD) resulted in LaFeO3 with co-doping Gd2O3 and CoO thick film ceramics having the same cubic crystal phase with smaller lattice parameters and crystallite sizes after doping were added. The results of morphology structure characterization using Scanning Electron Microscopy (SEM) showed the grain size of the LaFeO3 with co-doping 2.5% CoO and 0%, 2.5%, and 5% Gd2O3 samples to support the analysis of electric property characterization later on. The electric property characterization showed that LaFeO3 with various Gd2O3 concentrations, as part of co-doping with 2.5% CoO, resulted in higher sensitivity compared to the lacking of Gd2O3 one. In order, the maximum sensitivity values of each Gd2O3 concentration are 2.74, 3.06, and 8.76 when exposed to 270 ppm acetone gas at 310°C. Gd2O3, as part of co-doping in LaFeO3 with CoO 2.5%, has successfully increased the sensitivity to the gas sensor yet still can not meet the expectation towards the operating temperature, which is still high compared to other references.
Mapping of Destructive Tectonic Earthquakes in the West Nusa Tenggara (NTB) Region Based on the Zhao Attenuation Function Luthfin, Ahmad; Irjan, Irjan; Hidayati, Septiana Nur
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p156-166

Abstract

NTB is a group of small islands located between the earthquake zone, namely in the south there is a subduction zone of the Eurasian and Indo-Australian plates and in the north, there is a back-arc fault or Flores Thrust. Earthquakes in this area are very active in the form of shallow tectonic earthquakes of large magnitude, so the risk of disaster is very high. Based on this, our research aims to map the distribution of destructive earthquakes using the attenuation function Zhao, released in 2006. The Zhao attenuation function has been applied to earthquake sources in subduction zones which are inputs for seismic hazards in various parts of the world, because the distance uncertainty factor used has better accuracy. The distribution of earthquake epicenter points in the West Nusa Tenggara region is clustered in four places, namely the Eurasian and Indo-Australian plate subduction zones in the sea south of the West Nusa Tenggara islands, the non-volcanic zone to the south of the West Nusa Tenggara islands, the volcanic zone to the east, and the Back Arc Thrust zone in the waters north of the NTB islands. Meanwhile, the hypocenter distribution is spread majorly on the Eurasian plate. Most of the islands of West Nusa Tenggara are characterized on the MMI VII-VIII intensity scale, and only a small part is characterized on the V-VI MMI intensity scale. The implications of the results of this research are useful in disaster mitigation, so it is hoped that there will be a reduction in disaster risk.
Severity Classification of Non-Proliferative Diabetic Retinopathy Using Support Vector Machine (SVM) Salamah, Siti; Syaja'ah, Khoerun Nisa; Perkasa, Yudha Satya
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p167-179

Abstract

Diabetic Retinopathy (DR) is an eye disease that is the main cause of blindness in developed countries. Treatment of DR and prevention of blindness depend heavily on regular monitoring, early-stage diagnosis, and timely treatment. Vision loss can be effectively prevented by the automated diagnostic system that assists ophthalmologists who otherwise practice manual lesion detection processes which are tedious and time-consuming. Therefore, the purpose of this research is to design a system that can detect the presence of DR and be able to classify it based on its severity. In this proposed, the classification process is carried out based on image discovery by extracting GLCM texture features from 454 retinal fundus images in the IDRID database which are classified into 4 severity levels, namely normal, mild NPDR, moderate NPDR, and severe NPDR. The features obtained from each image will be used as input for the classification process using SVM. As a result, the classification system that has been trained is able to classify 4 levels of DR severity with an average accuracy of 89.55%, a sensitivity of 81.03%, and a specificity of 92.89%. Based on the results of the evaluation of the performance of this classification system, it can be concluded that the specificity value is higher than the specificity value, this indicates that the system that has been trained has a good ability to identify negative samples or those that indicate a class.
Early Study in Automatic Identification of Epilepsy in Neonatal Using EEGLAB and One Dimensional Convolutional Neural Network Through the EEG Signal Nadyah, Izaz; Syaja'ah, Khoerun Nisa; Waryono Sunaryo, Mada Sanjaya
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 13 No. 1 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v13n1.p1-15

Abstract

In detecting epileptic activity, medical experts examine the visual result of Electroencephalography signals. The visual analysis will take a lot of time and effort, due to a large amount of data. Furthermore, there are some errors in concluding the analysis result. One of the ways to analyze this quickly is to use Machine Learning (ML) methods. This study aims to evaluate the performance of 1D-CNN in identifying the given data. First, the signal will go through pre-processing using EEGLAB Toolbox which is then classified to identify epilepsy and non-epilepsy with the 1D-CNN algorithm. The results showed that the proposed method obtained high accuracy values, respectively 99,078% for the training data and 82,069% for the validation results. From the evaluation by a confusion matrix, an average accuracy of 99,31% was obtained. Based on this evaluation, the proposed model can be used as an efficient method in the process of automatic classification, detection, or identification of epileptic activity.

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