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Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Jl. Marsda Adisucipto No. 1 Yogyakarta
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Sunan Kalijaga Journal of Physics
Published by Universitas Islam Negeri Sunan Kalijaga Yogyakarta
ISSN : -     EISSN : 27150402     DOI : doi.org/10.14421
Core Subject : Science, Education, Engineering,
Earth & Planetary Sciences Education Electrical & Electronics Engineering Materials Science & Nanotechnology Physics
Sunan Kalijaga Journal of Physics (SKJP) is peer-reviewed journal published twice a year by the Department of Physics, Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta-Indonesia. SKJP publishes original research articles on all the major, also the branches of physics disciplines and related interdisciplinary areas, be it fundamental or applied. The journal will cover theoretical, computational as well as experimental research. The scope of the journal covers the following topics: • Acoustics • Atomic and molecular physics • Biological physics and nanoscience • Chemical physics • Condensed matter physics • Fluids and plasmas • Geophysics • Instruments and instrumentation • Lasers, optics and photonics • Materials physics • Mathematical physics • Medical Physics • Nanoscience & nanotechnology • Nonlinear science • Nuclear Physics and Cosmology • Particle and high energy physics • Physics of complex systems • Quantum information • Quantum physics • Statistical physics.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 55 Documents
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Surface Plasmon Resonance (Spr) Sensor Simulation with Kretschmann Configuration Based on Chitosan-Graphene Oxide Nanocomposite for Lead Metal Ion Detection Novitasari, Desy; Widayanti
Sunan Kalijaga Journal of Physics Vol. 4 No. 1 (2022): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v4i1.3585

Abstract

The presence of metal ions in river water can have a negative impact on humans when consumed. The detection of metal ions is crucial, and one of the methods is  the surface plasmon resonance (SPR) phenomenon using SPR sensor system. SPR biosensor system can be used for metal ion deteection, offering advantages such of affordability and rapid detection. This research aims to investigate the influence of adding chitosan-graphene oxide (CS-GO) nanocomposites to SPR sensors as lead ion detectors. The CS-GO nanocomposites is used as a detector with variations in volume fraction and thickness to find the optimum values. The varied volume fractions are 18 nm, 20 nm and 25 nm. The involvement of the CS_GO nanocomposites is demonstrated through the reflectance curve, showing the SPR angle and reflectance values. The Winspall simulator is used to display the reflectance curve. The SPR system utulized a He-Ne laser with a wavelength of 632,8 nm, a BK7 half cylinder prism, and a thin film of silver metal layer. The SPR sensor configuration used is the Kretschmann configuration. The layer system models include BK7 prism/Ag thin film/chitosan/lead ion, and BK7/Ag thin film/CS-GO/lead ion. The nanocomposite CS-GO’s pernittivity is calculated using the Maxwell Garnett effective medium theory. Result show that the refractive index and permittivity values of the CS-GO nanocomposite increase with the increasing volume fraction. The nanocomposite with a volume fraction of  0,099 produce a permittivity of 2,4337 and a refractive index of 1,5600.Larger permittivity values and thicknesses of the nanocomposite also lead to a shift in the SPR angle in the reflectance curve. The most significant SPR angle shift is observed with the use of CS-GO nanocomposite with a volume fraction of 0,099 and a thickness of 25 nm
Estimating the weight of Ongole crossbreed cattle based on image data using CNN and linear regression methods Gumelar, Syahrul Fadholi; Anggraini, Eca Indah
Sunan Kalijaga Journal of Physics Vol. 5 No. 2 (2023): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v5i2.3717

Abstract

One of the contributors to the need for food, especially meat, is the Ongole breed of cattle or commonly known as PO cattle. In these livestock activities it is necessary to monitor the weight of the cattle with the aim of assessing the selling price of the cattle and knowing the health condition of the cattle. Currently breeders are still using traditional methods such as forecasts or scales in measuring the weight of cattle. Therefore, in this study using a camera sensor as an alternative instrument for measuring cattle weight. The stages of the research included image data acquisition, pre-processing, body segmentation of cattle, weight estimation and system evaluation. The process of acquiring image data is obtained with a DSLR camera device. Pre-processing is done using a kernel sharpening filter. Cattle body segmentation uses the Mask R-CNN method. The body image of the cow is then processed for weight estimation training using the CNN and Linear Regression methods. The system evaluation results at the segmentation stage succeeded in obtaining an Intersection over Union (IoU) metric value of 0.86. The weight estimation results managed to get a RMSE metric value of 1.10, MAE metric 0.24, MAPE metric 0.06%, and R2 metric 0.99.
Literature Review: The Role of Magnetic Nanoparticles in Several Fields of Life Lailatul Machfudhoh
Sunan Kalijaga Journal of Physics Vol. 5 No. 2 (2023): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v5i2.3976

Abstract

There has been a lot of research on nanoparticles which have been developed for application in everyday life. One type of nanomaterial that has been discussed is magnetic nanoparticles. Some areas of life that apply magnetic nanoparticles for example are in the medical and biological fields, the field of sensors, the field of water and waste treatment, and others. The results of this literature review discuss the role of magnetic nanoparticles in everyday life.
The Effect of the Amount of Charge on the Force and the Direction of the Force on Coulomb's Law Using Phet Simulation Auliya, Misykah; Hilma Nurul Fajrin; Muhammad Fikri Assiddiqi
Sunan Kalijaga Journal of Physics Vol. 4 No. 1 (2022): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v4i1.3992

Abstract

This experiment aims to determine the effect of the magnitude of the charge on the direction of the force generated. Data collection was carried out using the PhET Simulation Coulomb's Law. The method used in conducting research is a combination research method. The results of the research found that the amount of charge given will affect the direction of the force generated. This is important so that there are no misunderstandings in understanding the concept of the material.
Analysis of Factors Affecting Period on GHS Using PhET Simulation Anzani, Yunita Ayudhia Anzani; Syahri Ramadhanti; Noval Mulya Dava
Sunan Kalijaga Journal of Physics Vol. 5 No. 2 (2023): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v5i2.3994

Abstract

Physics is one of the sciences that is studied based on facts, natural phenomena, ideas and results of experiments/experiments. Physics is a science that is closely related to everyday life, one of which is found in Simple Harmonic Motion which discusses pendulums on clocks and strings on guitars. Simple vibrations (GHS) are an example of periodic motion when the amplitude of vibrations in the system is relatively small and the displacement is less than 15°. GHS is a regular alternating motion through the equilibrium point and the number of vibrations in one second is always constant. If the movement occurs repeatedly within a certain time interval, it is called periodic motion. One of the experiments that can be done with simple vibrations is to make a mathematical pendulum or a simple pendulum. The method used in this research to determine the factors that affect the period of pendulum vibrations is a literature review and experiments using PhET simulations. The results of this study are data generated from experiments and calculations which state that the factors that affect the period of pendulum vibrations in simple harmonic motion are the length of the rope and the acceleration due to gravity. While the mass has no effect on the period of the pendulum vibration. The effect of the length of the string is directly proportional to the period of the pendulum's vibration, and the effect of gravity is inversely proportional to the period of the pendulum's vibration.
Acceleration and Gravitational Acceleration Experiments in the Phyphox Virtual Laboratory Hanifah Qurro Taayyun; Lia Agustina; Lutfi Saoqi Billah; Muhamad Miftah; Adam Malik
Sunan Kalijaga Journal of Physics Vol. 5 No. 1 (2023): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v5i1.4006

Abstract

This study aims to prove the relationship between 2 variables, namely the dependent variable (absolute acceleration) and the independent variable (height) in the acceleration experiment with the acceleration of gravity using the phypox virtual laboratory. The research method used is a combination method consisting of quantitative research methods and . The combination method can provide strong empirical data in proving 2 variables by using a virtual laboratory phypox as a medium in learning the concept of acceleration with gravitational acceleration. The results of this study show the potential for using a virtual laboratory phypox in proving 2 variables which results in a relationship between the value of altitude and absolute acceleration that is directly proportional
Analysis of the Effect of Frequency on Wavelength and Sound Size in Sound Generator Experiments Firda, Rafirda Fitri Muawani; Nita Amelia; Riris Arisa; Syifa Ullayla; Yanto Yanto; Adam Malik
Sunan Kalijaga Journal of Physics Vol. 5 No. 2 (2023): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v5i2.4014

Abstract

Waves are one of the abstract physics materials in the world of physics and will be a separate problem in studying them. The wave superposition experiment was carried out using software using Vlab. The aim of this research is to analyze the effect of frequency changes on wave length and sound. The method used is to prepare tools and materials, namely PCs/laptops with frequencies of 100 Hz, 500 Hz, 1000 Hz, 1500 Hz and 2000 Hz. This is done for different audio frequencies as well. Then the results of the merger were opened with Audacity and then analyzed and compared with the initial wave. So that a superposition is produced that the effect of frequency on wavelength is inversely proportional, the greater the frequency issued, the smaller the resulting wavelength, while the effect of frequency on sound waves is
Sensors and Transducers for Lava Flood Detection: Systematic Literature Review Iswanto, Iswanto; John Minto; Esraa Abdellatif Hammouda; Mohamed Yusuf Hassan; Abdikani Yusuf Abdulle
Sunan Kalijaga Journal of Physics Vol. 4 No. 1 (2022): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v4i1.4231

Abstract

Disasters always come suddenly, becoming a natural phenomenon that humans face. One of the natural disasters is a lava flood, which is a collection of lava released by a volcano and reaches the lower surface with the help or encouragement of rainwater. The impact of lava floods has a high risk because the material it carries can cause damage and has the potential to cause death, injury, illness, life at risk, loss of security, displacement, damage or loss of property, and disruption of community activities, so an early warning system is needed. can provide accurate data about the time of the disaster. To overcome digital sophistication, tools have been created in the form of sensors and transducers for lava flood detection. The aim of this research is to examine sensors and transducers for lahar flood detection. This research uses a systematic literature review using Preferred Reporting Items for Systematic Reviews (PRISMA). The results of article screening and selection found 77 potential articles that met the inclusion criteria. The results of the research show that the development of sensors and transducers has begun to create a lot of lahar flood detection tools through artificial intelligence based on the internet of thought which uses sensors and transducers inside and optimization of sensors and transducers for lahar flood detection must be done by setting the point of detection tools for use in various flood-prone locations. lava, so that detection of lava floods can be known before a disaster occurs.
Sensors and Transducers for Stroke Detection Systematic Literature Review Iswanto Suwarno; Rezarta Lalo; Elena Costru-Tasnic; Jan van der Merwe; Husitha Vanguru
Sunan Kalijaga Journal of Physics Vol. 5 No. 1 (2023): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v5i1.4242

Abstract

Along with changes in lifestyle, stroke is not only a disease that attacks the elderly population, but also often attacks people of productive age. Actions are proposed to the public to control risk factors, such as changing lifestyle behavior or taking medication, and variations in stroke risk are tracked by evaluating stroke risk annually. The symptom of stroke that is currently widely known by the public is paralysis, even though many stroke symptoms often appear without realizing it. So it is necessary to detect stroke using sensors and transducers to detect it. The aim of this research is to examine sensors and transducers for stroke detection. This research uses a systematic literature review using Preferred Reporting Items for Systematic Reviews (PRISMA). The results of article screening and selection found 84 potential articles that met the inclusion criteria. The research results show that the development of sensors and transducers for stroke detection is currently starting to develop through artificial intelligence based on the internet of thought which uses sensors and transducers within it. Judging from the production of tools that use sensors and transducers for stroke detection. Optimization of sensors and transducers for stroke detection must be carried out with appropriate use, detailed regulatory supervision, and continuous innovation of sensors and transducers for stroke detection which is useful in reducing the number of strokes in the world
A Artificial Intellegent algorithms for Tumor Disease Detection: systematic Literature Review Muhammad Hafid Alkarim; Iswanto Suwarno; Muhammad Ahmad Baballe; Mukhtar Ibrahim Bello
Sunan Kalijaga Journal of Physics Vol. 5 No. 2 (2023): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v5i2.4275

Abstract

A Tumor is a swelling in the body caused by cells that multiply abnormally. Tumors or neoplasms consisting of benign tumors and malignant tumors. Benign tumors can grow larger but do not spread to other body tissues. Malignant tumors are cancers that attack the entire body and are uncontrollable. Comparison between the cell nucleus with the cytoplasm of malignant tumors, while benign tumors are the same as normal cells. Cancer cells can develop rapidly. These cells attack and damage body tissues through the bloodstream and lymph vessels so that they can grow in new places. One way to detect tumor disease is by utilizing Artificial intelligence algorithms for tumor Disease Detection. The purpose of this paper is for the development of Artificial Intellegent algorithms for the detection of tumor Diseases and optimization of Artificial Intellegent algorithms for the detection of tumor Diseases. This research uses systematic literature review by using preferred Reporting Items for Systematic Review (PRISMA). The results of screening and selection of articles obtained 64 potential articles that have met the inclusion criteria. The results showed that with earlier detection, a person can check tumor disease earlier using the help of Artificial intelligence algorithms. The results of research on the development of Artificial intelligence algorithms for detection of tumor Diseases have found Artificial intelligence algorithms that can be used to reduce the risk of tumor disease. Optimization of Artificial Intelegency algorithms for tumor classification, performing new data processing methods such as artificial intelligence can be selected to provide the accuracy of classification and diagnosis, exploration of detection limits is a very important aspect in tumor diagnosis based on SERS, finding improved and suitable nanoparticle substrates so as to significantly improve the original Raman signal.

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