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 16 Documents
Search results for , issue "Vol 10, No 1 (2020)" : 16 Documents clear
IDENTIFICATION OF THE LOMBOK EARTHQUAKE SOURCE MECHANISM M_W 6.9 AND M_W 7.0 ON AUGUST 5 AND 9 2018 Priadi, Ramadhan
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

Abstract

Significant earthquakes with magnitudes ranging from M 5.8 to 7.0 occurred in Lombok in the period July to August 2018. 2 earthquake events occurred in a row namely  6.9 on August 5, 2018 (11:46:38 UTC) and  7.0 on August 9, 2018 (14:56:28 UTC). This phenomenon is very rare because earthquakes require a relatively long time to accumulate energy before being released. Based on the uniqueness, slip modeling is carried out in the fracture plane to determine the distribution of energy accumulation zones represented by asperity. Modeling is done by teleseismic body wave inversion at low frequencies. Modeling results show that the earthquake asperity zone of  6.9 is 0 km in strike direction and -18 km width in dip direction with a maximum slip of 1.3 m. While the results of earthquake modeling  7.0 the asperity zone is at -36 km in the strike direction and -7 km in the dip direction. The  7.0 earthquake shows the distribution of the dominant slip almost perpendicularly upward. The highest aspiration zone is in the up-dip portion of the earthquake hypocenter. These results indicate the earthquake slip vectors  6.9 pointing to the earthquake fault plane  7.0. Modeling results also indicate that a significant earthquake in Lombok does not have a single asperity, but is distributed in the fault plane. This is thought to be due to the condition of brittle rocks and enlargement that is limited by time and space.
THE SEGMENTATION OF NEUTRON DIGITAL RADIOGRAPHY IMAGE THROUGH THE EDGE DETECTION METHOD Amalia, Ayu Fitri; Budhi, Widodo
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

Abstract

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection method used in this study was Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny provided edge gradient orientation which resulted in a proper localization.
THE SEGMENTATION OF NEUTRON DIGITAL RADIOGRAPHY IMAGE THROUGH THE EDGE DETECTION METHOD Amalia, Ayu Fitri; Budhi, Widodo
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

Abstract

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection method used in this study was Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny provided edge gradient orientation which resulted in a proper localization.
IDENTIFICATION OF THE GRINDULU FAULT IN PACITAN, EAST JAVA USING MAGNETIC METHOD cholifah, latifatul
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

Abstract

Magnetic method in geophysical surveys is common for its non-destructive use of sub-surface structure delineation. In this study, ground-based measurements of magnetic intensity were performed using a set of instruments in some regions of Pacitan, a city in the southern area of East Java province. Based on these measurements, data acquisition was used to identify the Grindulu faulting zone in the region of interest, potentially vulnerable to geohazards. The data were first corrected using the IGRF and diurnal corrections. A filtering technique of upward continuation at a height of 900 m was then applied to separate local anomalies from regional ones as the targeted sources in the present case. These separate anomalies and their corresponding reductions to the poles as further filtering processes were analyzed for predicting the location and direction of the fault. The results, extracted from data analysis and interpretation, show that the main path of the Grindulu is directed along the NE-SW fault line or N60oE. The resulting anomalies also reflect that the Grindulu is a normal fault with surrounding minor faults lying across the Grindulu, calling for increased awareness of vulnerability in the city to seismic threats.
IDENTIFICATION OF THE GRINDULU FAULT IN PACITAN, EAST JAVA USING MAGNETIC METHOD cholifah, latifatul
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

Abstract

Magnetic method in geophysical surveys is common for its non-destructive use of sub-surface structure delineation. In this study, ground-based measurements of magnetic intensity were performed using a set of instruments in some regions of Pacitan, a city in the southern area of East Java province. Based on these measurements, data acquisition was used to identify the Grindulu faulting zone in the region of interest, potentially vulnerable to geohazards. The data were first corrected using the IGRF and diurnal corrections. A filtering technique of upward continuation at a height of 900 m was then applied to separate local anomalies from regional ones as the targeted sources in the present case. These separate anomalies and their corresponding reductions to the poles as further filtering processes were analyzed for predicting the location and direction of the fault. The results, extracted from data analysis and interpretation, show that the main path of the Grindulu is directed along the NE-SW fault line or N60oE. The resulting anomalies also reflect that the Grindulu is a normal fault with surrounding minor faults lying across the Grindulu, calling for increased awareness of vulnerability in the city to seismic threats.
CHARACTERIZATION OF TEMPERATURE RESPONSE OF ASYMMETRIC TAPERED-PLASTIC OPTICAL FIBER-MACH ZEHNDER INTERFEROMETER Yulianti, Ian
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

Abstract

Performance characterization of simple and low cost Mach Zehnder interferometer (MZI) using step index plastic optical fiber (SI-POF) to temperature variation is presented.  The sensor consists of two tapers at several distance forming interferometer.  The first taper was designed to be steep to allow excitation of cladding modes, while the second taper was gradual to supress power loss.  Characterizations were done in terms of sensitivity, hysteresis and repeatability by analysing the output spectrums recorded by spectrometer at various environment temperature which are 35oC to 85oC with increment of 10oC.  The results showed that the sensor has sensitivity of 0.0431 nm/oC and correlation coefficient of 0.9965.  Hysteresis of 6.9×10-3was observed.  In terms of repeatability, the sensor shows maximum deviation of ±3oC which was mainly resulted from fluctuation of oven temperature. Despite its high deviation, the sensor has advantages of simple fabrication process, low cost, robust and low power loss which make it as a good candidate for temperature sensor.
CHARACTERIZATION OF TEMPERATURE RESPONSE OF ASYMMETRIC TAPERED-PLASTIC OPTICAL FIBER-MACH ZEHNDER INTERFEROMETER Yulianti, Ian
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 10, No 1 (2020): Articles in Press
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v10n1.p%p

Abstract

Performance characterization of simple and low cost Mach Zehnder interferometer (MZI) using step index plastic optical fiber (SI-POF) to temperature variation is presented.  The sensor consists of two tapers at several distance forming interferometer.  The first taper was designed to be steep to allow excitation of cladding modes, while the second taper was gradual to supress power loss.  Characterizations were done in terms of sensitivity, hysteresis and repeatability by analysing the output spectrums recorded by spectrometer at various environment temperature which are 35oC to 85oC with increment of 10oC.  The results showed that the sensor has sensitivity of 0.0431 nm/oC and correlation coefficient of 0.9965.  Hysteresis of 6.9×10-3was observed.  In terms of repeatability, the sensor shows maximum deviation of ±3oC which was mainly resulted from fluctuation of oven temperature. Despite its high deviation, the sensor has advantages of simple fabrication process, low cost, robust and low power loss which make it as a good candidate for temperature sensor.
The Segmentation of Neutron Digital Radiography Image through the Edge Detection Method Amalia, Ayu Fitri; Budhi, Widodo
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.p11-21

Abstract

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic, and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection methods used in this study were Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny technique provided edge gradient orientation which resulted in a proper localization.
Front Cover JPFA Vol 10 No 1 June 2020 JPFA, Editor
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.pi

Abstract

Back Cover JPFA Vol 10 No 1 June 2020 JPFA, Editor
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.pix

Abstract

Page 1 of 2 | Total Record : 16