cover
Contact Name
Utama Alan Deta
Contact Email
utamadeta@unesa.ac.id
Phone
+628993751753
Journal Mail Official
jpfa@unesa.ac.id
Editorial Address
Fakultas Matematika dan Ilmu Pengetaahuan Alam Jl. Ketintang, Gd C3 Lt 1, Surabaya 60231
Location
Kota surabaya,
Jawa timur
INDONESIA
Jurnal Penelitian Fisika dan Aplikasinya (JPFA)
ISSN : 20879946     EISSN : 24771775     DOI : https://doi.org/10.26740/jpfa
Core Subject : Science, Education,
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).
Articles 440 Documents
The Use of Pictorial Analogy to Increase Students Achievement and Its Retention of Physics Lessons of Direct Current Tomo Djudin; Selvaraj Grapragasem
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 9 No. 2 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v9n2.p140-151

Abstract

Analogy is considered a helpful way to help students visualize abstract concepts and assimilate new knowledge to an existing structure of cognitive. This study examines the effectiveness of the teaching with pictorial analogy models on students achievement and its retention of Direct Current lesson. A quasi-experimental method with one group pretest and (immediate and delayed) posttest design was employed in this study. The subjects consisted of 35 twelfth-grade students of public senior school in Pontianak City enrolled in the first semester of academic year 2017/2018; they were determined by using intact group random sampling technique. The student participants received instructions of the three pictorial analogy models. A parallel pretest-posttest of achievement test consisted of 10 items of factual knowledge, 10 items of conceptual knowledge, and 3 items of procedural knowledge. The operationalization of the pictorial analogies in this study referred to Glynns syntaxes. Data analysis found that: (1) the increasing of factual knowledge is 30.2 % in immediate posttest and 21.6 % in delayed posttest; (2)the students have promoted a significant conceptual change ( = 54.28, p < 0.05); and (3) there is a significant difference between the immediate posttest and pretest in terms of procedural knowledge (t = 4.02; p < 0.05) with the ES index is 4.78. It is concluded that the use of pictorial analogy models is effective (in high category) to increase students achievement of Direct Current lesson and the emergence of their retention is significant partially and simultaneously. In using pictorial analogies, teachers are encouraged to consider many similar features with the target concepts.
Front Cover JPFA Vol 8 No 2 December 2018 Editor JPFA
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 8 No. 2 (2018)
Publisher : Universitas Negeri Surabaya

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Abstract

Introduction, Author Guidelines, and Table of Contents JPFA Vol 8 No 2 December 2018 Editor JPFA
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 8 No. 2 (2018)
Publisher : Universitas Negeri Surabaya

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Abstract

Acknowledgment JPFA Vol 8 No 2 December 2018 Editor JPFA
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 8 No. 2 (2018)
Publisher : Universitas Negeri Surabaya

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Abstract

Back Cover JPFA Vol 8 No 2 December 2018 Editor JPFA
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 8 No. 2 (2018)
Publisher : Universitas Negeri Surabaya

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Abstract

An Exploration of Students Mental Models on Heat and Temperature: A Preliminary Study Rian Priyadi; Markus Diantoro; Parno Parno; Helmi Helmi
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 9 No. 2 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v9n2.p114-122

Abstract

The mental models are internal representation possessed by students when learning a concept. This study is intended to explore students mental models on Heat and Temperature concept. This research was conducted on 11th grade students of Science program (N = 60) at one senior public school in Malang. Data were collected through open-ended questions and analyzed using the SSI method, which consisted of three levels of mental models. Based on the results, most of the students are still at the synthetic level. In addition, some differences of the students in visualizing the state of solid atoms during expansion, direction of heat conduction, and direction of heat convection. The future study is expected to explore the mental models of students in other topics of Physics education and make use of appropriate learning models to increase students mental models.
The Rate of Land Cover Change using Landsat Data in Coal Mining Area of Sawah Lunto City, Indonesia Bowo Eko Cahyono; Yazella Feni Frahma; Agung Tjahjo Nugroho
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 9 No. 2 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v9n2.p189-203

Abstract

Sawahlunto city is well-known for coal mining region. As in 2010, there have been at least 12 mining companies exploring coal resources in the region. As time passes, land cover conditions have gradually decreased due to mining activities. This region on which was originally covered by various vegetation and ecosystem have systematically transformed into open areas for coal mining. The use of remote sensing technology for land cover monitoring has been commonly well-developed in accordance with the need for improvement of detailed information about the changes of land use coverage. This study examines the land cover changes using supervised classification method based on Landsat data. The method focuses on four dominant classes of land cover in the region, namely forest, mining, settlement, and water resources. The classification processes were performed based on true-color composite satellite images. The results show that the overall accuracies of classification are 91.68 %, 92.49 %, 93.69 %, and 93.74 % in 2000, 2006, 2011, and 2016 respectively. It was also found that forest is the largest area in the coal mining area which, in some sense, tends to continuously decrease in terms of land cover in the last 15 years. The rate of forest area degradation achieved its maximum between 2006 and 2011.
Quantum Propagator Derivation for the Ring of Four Harmonically Coupled Oscillators James Mendoza Gallo; Bienvenido Masirin Butanas Jr.
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 9 No. 2 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v9n2.p92-104

Abstract

The ring model of the coupled oscillator has enormously studied from the perspective of quantum mechanics. The research efforts on this system contribute to fully grasp the concepts of energy transport, dissipation, among others, in mesoscopic and condensed matter systems. In this research, the dynamics of the quantum propagator for the ring of oscillators was analyzed anew. White noise analysis was applied to derive the quantum mechanical propagator for a ring of four harmonically coupled oscillators. The process was done after performing four successive coordinate transformations obtaining four separated Lagrangian of a one-dimensional harmonic oscillator. Then, the individual propagator was evaluated via white noise path integration where the full propagator is expressed as the product of the individual propagators. In particular, the frequencies of the first two propagators correspond to degenerate normal mode frequencies, while the other two correspond to non-degenerate normal mode frequencies. The full propagator was expressed in its symmetric form to extract the energy spectrum and the wave function.
Simple Experiment of Doppler Effect Using Smartphone Microfon Sensor Adam Malik; Widiastuti Ledgeriani Mugiri; Rizki Zakwandi; Sani Safitri; Tia Juliani
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 10 No. 1 (2020)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p1-10

Abstract

Doppler effect is the physical phenomena in which the emitted frequency is a source of change at a time when accepted by the detector due to relative movement of the detector towards the source of the wave or vice versa. This research aims to identify the Doppler effect symptoms by utilizing sensors found in smartphones. This research uses experimental method that combine the mechanical instruments and microphone smartphone sensor as measurement tool. The mechanical instruments used are a smartphone with the help of frequency sound generator software, Physics Toolbox, the camera as an instrument of data collectors, and Tracker as a motion analyzer software. Based on the results of the experiments, the author retrieved the value of the error and the standard deviation of each of the observed symptoms. The symptoms of Doppler effect upon source moving closer and moving away when the silent observer shows the error value of 0.04 % and 0.1185 % respectively with a standard deviation of 0.018 and 1.005. In addition, the experiment on Doppler effect as the source is staying still and as the observer approaching the source provides error value of 8.60 % and standard deviation of 13.501. As for the experiment on Doppler effect as the source and the observers are approaching each other displays the error value of 4.31 % and the standard deviation of 0.087. Overall, this experiment generates error value of 3.267 % and standard deviation of 3.665, inferring that the experiments conducted are accurate and precise in representing the Doppler effect phenomenon. Based on the results of this experiments, the researcher recommends to carry out practicum on Doppler effects with the help of smartphone sensors.
Automated Universal Image Quality Index Measurement vs. Automated Noise Measurement: Which Method is Better to Define CT Image Quality? Fauzia Puspa Lestari; Choirul Anam; Yati Hardiyanti; Freddy Haryanto
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 9 No. 2 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v9n2.p132-139

Abstract

Automatitation method in defining the quality of CT image is needed to optimize CT Scan treatment planning. So, the optimization of treatment planning can also be done automatically. There are various methods proposed to define the quality of an image. The purpose of this study was to find the simple and precision method to define CT image. We compared the performance of Automated Noise Measurement (ANM) and Automated Universal Image Quality Index (UIQI). We also compared them with the Manual noise measurement method based on the level of convergence in homogeneous images. The first step of Automated Noise Measurement was to create binary density slice using threshold values. Then, a masked image was performed by masking the original image and binary image. The standard deviation of every pixel for a certain kernel size was calculated by using a sliding window operation. The fourth step was to make a noise histogram from the noise map and determine the final noise in the image as the histogram peak. Then this calculation was normalized by the peak of the Hounsfield Unit (HU) histogram. All these steps were done with various kernel sizes for different slices in-homogenous phantom. In the Automatic UIQI method, the steps in the ANM method are carried out until the masked image stage, then UIQI is calculated for the masked image. The results show that automatic UIQI was more convergence in defining image quality than manual noise measurement and automated noise measurement by the lowest standard deviation which was only 0.00032867.