https://journal.unnes.ac.id/nju/jf/issue/feedJurnal Fisika2024-03-29T09:03:58+07:00Mahardika Prasetya Ajijurnalfisika@mail.unnes.ac.idOpen Journal Systems<p><strong>Jurnar Fisika starting in 2024 migrates to better secure from various unwanted things, including journal hacking and so on. To submit, the author please visit the new website page of our journal at the link<a href="https://journal.unnes.ac.id/journals/jf">https://journal.unnes.ac.id/journals/jf</a></strong></p> <p><strong><em>MIGRATION OFFICIAL STATEMENT <a href="https://drive.google.com/drive/folders/1980A0R8NA3En1577jOx6NI3mWJxsNawB?usp=sharing" target="_blank" rel="noopener">HERE</a></em></strong></p> Jurnal Fisika [<a href="http://u.lipi.go.id/1298954297" target="_blank">P-ISSN 2088-1509</a> | <a href="http://u.lipi.go.id/1560393432" target="_blank">E-ISSN 2684-978X</a>] publishes <span>developments and researches in </span>Physics (See <a href="/nju/index.php/jf/about/editorialPolicies#focusAndScope" target="_blank">Focus and Scope</a>). The articles of this journal are published every six months, that is on May and November (2 issues per year), and published by the <a href="https://drive.google.com/file/d/11Afi0L5TtCSBzHc6yoFSPqOoyvp3-IHt/view?usp=sharing" target="_blank"><span>Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang collaboration with Indonesian Rock Magnetic Association (IRMA) Pusat.</span></a><p>Abstracting and Indexing: <a href="http://sinta2.ristekdikti.go.id/journals/detail?id=547" target="_blank">SINTA </a>3, <a href="https://doaj.org/toc/2088-1509?source=%7B%22query%22%3A%7B%22filtered%22%3A%7B%22filter%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22terms%22%3A%7B%22index.issn.exact%22%3A%5B%222088-1509%22%5D%7D%7D%2C%7B%22term%22%3A%7B%22_type%22%3A%22article%22%7D%7D%5D%7D%7D%2C%22query%22%3A%7B%22match_all%22%3A%7B%7D%7D%7D%7D%2C%22sort%22%3A%5B%7B%22bibjson.year.exact%22%3A%7B%22order%22%3A%22desc%22%7D%7D%2C%7B%22bibjson.month.exact%22%3A%7B%22order%22%3A%22desc%22%7D%7D%5D%2C%22from%22%3A0%2C%22size%22%3A100%7D" target="_blank">DOAJ</a>, <a href="https://app.dimensions.ai/discover/publication?search_text=10.15294%2Fjf&search_type=kws&search_field=doi" target="_blank">DIMENSIONS</a>, <a href="https://scholar.google.co.id/citations?hl=en&user=fhW82nIAAAAJ" target="_blank">Google Scholar</a></p>https://journal.unnes.ac.id/nju/jf/article/view/47640Preliminary Study of The Structure of Hesperidin and Neohesperidin as a Potential Inhibitor of SARS-CoV-2 by using The DFT Method2024-03-29T09:03:58+07:00Wahyu Sulistiel_rahman.fmipa@unej.ac.idSamakhatus Sahirohel_rahman.fmipa@unej.ac.idLutfi Rohmanel_rahman.fmipa@unej.ac.idArtoto Arkundatoel_rahman.fmipa@unej.ac.idWibawa Wibawael_rahman.fmipa@unej.ac.id<p>The discovery of drugs as COVID-19 antivirals has been intensively carried out by researchers as an effort to reduce the number of victims of the COVID-19 pandemic in 2020. The discovery of main protease (Mpro) which plays a role in protein replication and transcription helped researchers identify virus inhibitors. This research has examined the potency of the bioflavonoid compounds hesperidin and the flavanon glycosides neohesperidin and their structural stability as potential inhibitors of SARS-CoV-2 by DFT computation. The first method used is the calculation of density functional theory (DFT) on hesperidin and neohesperidin molecules to optimize the geometry of the molecular structure, analysis of frontier molecular orbitals (FMO), chemical reactivity index, and map electrostatic potential (MEP).</p>2023-11-30T00:00:00+07:00Copyright (c) 2023 Jurnal Fisikahttps://journal.unnes.ac.id/nju/jf/article/view/47852Application of Pyramidal Decomposition to Improve Digital Radiography Image Quality2024-03-28T23:37:27+07:00Rudi Setiawansolusimatlab@gmail.comSusilo Susilosusilosumarto@gmail.comAs an effort to create innovation in the world of radiography, it is necessary to develop technology in software. This effort is to improve image quality by using pyramidal decomposition. This digital image decomposition is referred to as pyramid decomposition. The original image is decomposed into several frequency bands, repeatedly divided into high-pass components and low-pass components. The high-pass component is set aside while the low-pass image is subjected to subsequent division. This creates a kind of "3D" stack of image layers. Each layer is at a lower frequency and therefore fuzzier. This processing was pioneered by Philips Healthcare as UNIK (Unified Image Quality Enhancement), and by Agfa as MUSICA (Multi-Scale Image Contrast Amplification) with various innovations. The test image uses digital radiography images resulting from innovation from 14bit RAW digital conversion into JPG format. Image quality is calculated using Mean Square Error (MSE) and Peak Signal Noise Ratio (PSNR). The pyramidal decomposition application succeeded in improving the quality of digital radiography images with an average MSE reduction value of 0.018 and an average PSNR increase of 22.114 dB. Visually, there is a constant increase in contrast and detail, so it can be applied in the medical field.2023-11-30T00:00:00+07:00Copyright (c) 2023 Jurnal Fisikahttps://journal.unnes.ac.id/nju/jf/article/view/47816The Content of Magnetic Material in Black Sand of Yeh Gangga Beach2024-03-29T09:01:04+07:00Dewi Oktofa Rachmawatinurfa.risha@undiksha.ac.idGede Aris Gunadinurfa.risha@undiksha.ac.idNurfa Rishanurfa.risha@undiksha.ac.idIwan Suswandinurfa.risha@undiksha.ac.idYeh Gangga Beach is one of the black sand beaches in the Tabanan district. The abundant black sand on this beach stretches along the shoreline with varying grain sizes. This black sand characterizes the specific surface composition as iron sand deposits with high magnetic mineral content. The very high need and use of magnetic minerals in various fields prompt a study of the magnetic mineral content in the black sand of Yeh Gangga beach.The magnetic material content was determined by the extraction method which was expressed in terms of mass fraction. The grain size distribution was determined by the sieve method using a sieve shaker consisting of six mesh numbers, namely 30, 100, 170, 200, 270, and 325.The density of magnetic materials was determined by the principle of mass and volume ratio. The magnetic susceptibility was tested by using a Bartington MS2B susceptibility meter. Meanwhile, the characterization of the elements and their oxides used non-magnetic methods, namely the X-Ray Fluorescence test.The research results show that the magnetic material fraction of Yeh Gangga black sand reach 84.84% with 58.39% of the grains having sizes in the range 150>r ≥90 μm. The magnetic susceptibility value is 28.26 10<sup>-6</sup> m<sup>3</sup>/kg with an Fe element content of 85.15% w. The hematite (Fe<sub>2</sub>O<sub>3</sub>) content reaches 81.69%. This magnetic material has a density of 1914.43 kg/m<sup>3</sup>.2023-11-30T00:00:00+07:00Copyright (c) 2023 Jurnal Fisikahttps://journal.unnes.ac.id/nju/jf/article/view/45044Development of Non- Invasive Cholesterol Monitoring System Using TCRT5000 Sensor with Android Compatibilty2024-03-29T04:25:35+07:00Tika Rahmawatitika_rahmawati_2008026003@walisongo.ac.idAlvania Nabila Tasyakurantialvanianabila_1908026003@student.walisongo.ac.idHeni Sumartiheni_sumarti@walisongo.ac.idHamdan Hadi Kusumahamdanhk@walisongo.ac.id<p>High cholesterol levels cause several diseases, such as atherosclerosis (narrowing of the arteries), coronary heart disease, high blood pressure, obesity, thyroid disorders, diabetes mellitus, liver disease, and kidney disease. Generally, such checking is carried out invasively in clinical laboratories or hospitals. The checking can be done individually at a lower cost by using non invasive cholesterol measuring devices. This study aims to design and implement an android-based non-invasive cholesterol monitoring device using the TCRT5000 sensor. The tool developed was tested to measure cholesterol levels in 15 respondents aged 20-30 years. The research procedure consisted of several stages, starting with the design stage of the tool, which was carried out by assembling the components; the second stage was the tool coefficient of determination test, the third stage was the accuracy test, and the last stage was the data transfer speed test. The average accuracy of the tool is 83.18%, and the avarage of delay is 8.8 ms. This tool has considerable potential to be used in a telemedicine system that can be accessed remotely regularly to determine the estimated value of cholesterol levels in the blood.</p>2023-11-30T00:00:00+07:00Copyright (c) 2024 Jurnal Fisikahttps://journal.unnes.ac.id/nju/jf/article/view/48397Comparison of CTDIw and Homogeneity Index on CTDI Phantoms2024-03-29T04:22:46+07:00Moh. Shofi Nur Utamimohshofi30@gmail.comNur Asninurasni176@gmail.comFreddy Haryantofreddy@fi.itb.ac.idMuharam Budi Laksonomohshofi30@gmail.comAnggun Yusifamohshofi30@gmail.comNermina Nerminamohshofi30@gmail.com<p class="AbstakIndo">The study was conducted to compare the Computed Tomography Dose Index Weighted (CTDI<sub>w</sub>) value values and homogeneity index on head and body phantoms with tube voltage variations. Two CTDI phantoms are Gammex (Sun Nuclear, Florida, United States) and IBA (IBA Dosimetry, Schwarzenbruck, Germany). The pencil ionization chamber was used for the measurement of CTDI. The measurements were carried out with a Toshiba Alexion 16 MSCT in a single rotation of axial mode with detector position in the phantom’s center, top, bottom, right, and left. Tube voltage values are 80 kVp, 100 kVp, and 120 kVp. Then, the homogeneity test of the phantom was carried out. The homogeneity value was obtained by measuring the average CT number in the image by determining the region of interest (ROI) at positions namely a, b, c, d, and e, In addition the ratio of the two phantoms was also carried out. The ratio was obtained from the difference of the CTDI<sub>100</sub> value at the edge to the CTDI<sub>100 </sub>value at the center of the head and body phantom from Gammex and IBA. The results showed that the CTDI<sub>w</sub>of the Gammex head phantom are 26.83 mGy (80 kV), 53.32 mGy (100 kV) and 83.32 mGy (120 kV). While the CTDI<sub>w</sub> of the Gammex body phantom are 11.73 mGy (80 kV), 21.58 mGy (100 kV) and 36.45 mGy (120 kV). In comparison, CTDI<sub>w</sub> of the IBA head phantom are 27.01 mGy (80 kV), 55.33 mGy (100 kV) and 81.69 mGy (120 kV). While the CTDI<sub>w</sub> of the IBA body phantom are 11.85 mGy (80 kV), 23.32 mGy (100 kV) and 35.00 mGy (120 kV). The differences in CTDI<sub>w </sub>of the two phantoms were within (head phantom is 0.18 % – 2.01 %) and (body phantom is 0.13 % – 1.75 %). The difference below 5% with the p-value of the head phantom is 0.87 and body phantom is 0.89 (more than 0.05) indicates that the two phantoms are not significantly different because the two phantoms are made of the same material. The average ratio for the Gammex head phantom is 1.12 – 1.28, while the IBA head phantom is 1.07 – 1.28. Then the average ratio for the Gammex body phantom is 2.03 – 2.56, while for the IBA body phantom is 1.91 – 2.59 which indicates that the head phantom produces a more uniform dose distribution compared to a body phantom. The average homogeneity value of the IBA phantom is 90.52 % and the average homogeneity value of the Gammex phantom is 87.15 % (a difference of around 3.37%). This value shows that Gammex and IBA phantom have fairly good homogeneity</p>2023-11-30T00:00:00+07:00Copyright (c) 2024 Jurnal Fisika