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Simulasi Komputer Pengaruh Efek Proksimitas pada Medan Kritis Superkonduktor Anwar, Fuad; Nurwantoro, Pekik; Hermanto, Arief
Risalah Fisika Vol 1, No 2 (2017): Risalah Fisika ISSN 2548-9011
Publisher : Physical Society of Indonesia (PSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.304 KB) | DOI: 10.35895/rf.v1i2.21

Abstract

Telah dibuat kajian pengaruh syarat batas efek proksimitas pada penyelesaian komputasi persamaan Ginzburg-Landau Gayut Waktu. Bahan kajian adalah superkonduktor berbentuk kotak yang berbatasan dengan bahan lain pada keempat sisinya dan dipengaruhi medan magnet luar. Metode pembuatan simulasi didasarkan pada persamaan Ginzburg-Landau gayut waktu serta persamaan syarat batas parameter benahan dan syarat batas medan magnet. Persamaan-persamaan tersebut lalu didiskretkan dengan menggunakan metode yU. Hasil kajian menunjukkan bahwa nilai medan kritis permukaan membesar, medan kritis rendah mengecil pada ukuran bahan Nx×Ny = 12×12 dan membesar pada ukuran bahan Nx×Ny = 32×32 jika nilai panjang ekstrapolasi membesar. Kata kunci: efek proksimitas, persamaan TDGL, superkonduktor
PELATIHAN PEMANFAATAN ALAT PERAGA BAGI GURU SD MUHAMMADIYAH DI SUKOHARJO DALAM MENGHADAPI ERA REVOLUSI INDUSTRI 4.0 Anwar, Fuad; Kusumandari, Kusumandari; Iriani, Yofentina; Yunianto, Mohtar
ADI WIDYA : JURNAL PENGABDIAN MASYARAKAT Vol 4, No 1 (2020): ADIWIDYA
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.6 KB) | DOI: 10.33061/awpm.v4i1.3135

Abstract

Community service activities for Muhammadiyah Elementary School Teachers in Polokarto Subdistrict, Sukoharjo Regency have been carried out. The background of this activity is the information obtained that the teachers in the school still use books and blackboards especially for subjects related to Science so that students become less creative and innovative thinking. activities carried out in the form of ongoing activities, namely training in the use of props style, motion and energy as many as 10 kits, presentation of the results of the practice of using props and the process of dissemination to students. The results obtained that all participants in understanding the teaching aids that have been trained, seen from the activeness of the participants, the ability of participants in the presentation and the results of dissemination to students in their respective schools
Klasifikasi Kanker Paru Paru menggunakan Naïve Bayes dengan Variasi Filter dan Ekstraksi Ciri GLCM Mohtar Yunianto; Soeparmi Soeparmi; Cari Cari; Fuad Anwar; Delta Nur Septianingsih; Tonang Dwi Ardyanto; Resta Farits Pradana
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 11, No 2 (2021): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v11i2.53213

Abstract

Telah berhasil dilakukan klasifikasi kanker paru-paru dari 120 data citra CT Scan. Pada penelitian, proses preposisi dimulai dengan variasi filtering yaitu low pass filter, median filter, dan high pass filter. Segmentasi yang digunakan yaitu Otsu Thresholding yang kemudian teksturnya akan diekstraksi menggunakan fitur Gray Level Co-occurrence Matrix (GLCM) dengan variasi arah sudut. Hasil dari ekstraksi GLCM dijadikan database yang akan menjadi dataset untuk pengklasifikasian citra menggunakan klasifikasi naïve bayes. Hasil dari penelitian dengan 12 buah variasi diperoleh hasil variasi terbaik adalah median filter dengan arah sudut GLCM 0° menunjukkan tingkat akurasi yang paling tinggi sebesar 88,33 %.
Early introduction of science and technology through optimizing the use of Science Props media for MI Muhammadiyah Wonorejo students Mohtar Yunianto; Suparmi Suparmi; Cari Cari; Fuad Anwar; Suharyana Suharyana; Darmanto Darmanto
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2023): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v6i1.2725

Abstract

Learning science and technology to children so far by telling stories so that children are easily bored, and as a result, children lack understanding of science and technology learning. Efforts in introducing science and technology to early childhood have been made to minimize this incident. The activity is in the form of training in using electrical and magnetic props for MI Muhammadiyah Wonorejo students. The activity begins with a pretest to determine students' initial ability, followed by introducing the concept of theory and practice of props in groups, electrical material related to series and parallel circuits for magnetism related to static magnets and dynamic magnets. The result is that there is more interest from students to learn, and there is an increase in student understanding of magnetic electricity material and can use of teaching aids.
Pneumonia Classification Based on GLCM Features Extraction using K-Nearest Neighbor Suharyana Suharyana; Fuad Anwar; Armylia Chandra Dewi; Mohtar Yunianto; Umi Salamah; Rifai Chai
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 2 (2023): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i2.77120

Abstract

Pneumonia has been detected using Machine learning. The stages in this study began with preprocessing in 4 stages: resizing, cropping, filtering using a high pass filter, and Adaptive Histogram Equalization. The feature extraction process continued with 22 Gray Level Co-occurrence Matrix (GLCM) features and classification using K-Nearest Neighbor (KNN). The image used was 150 data sets for training on the classification of 3 classes with a ratio of 50:50:50 while training on two classes was 50 bacterial pneumonia and 50 viral pneumonia. The most optimal training data accuracy results were obtained using the angle direction on the GLCM, namely 135o with the KNN classification (k = 3). For the classification of two classes Using 40 data sets, an accuracy of 91% was obtained, while testing for three classes with 60 data sets was 83.3%.
Performance Analysis of EPC Material as a Kidney Organ Phantom with Exposure Voltage Variations and PA-GF-Based Kidney Stone Size Cari Cari; Mohtar Yunianto; Fuad Anwar; Hardo Ardiansyah Gilang Permadi
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 2 (2025): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i2.106579

Abstract

Research in the field of radiodiagnostics has been extensively developed, creating the need for substitute objects to represent human organs—namely, radiological phantoms. A phantom is a simulated model of an organ fabricated using 3D printing technology. This study aims to evaluate the suitability of Expanded Polyamide – Glass Fiber (EPA-GF) as a kidney stone phantom material embedded within a kidney phantom, based on parameters such as material density, CT number, electron density, and radiation dose across various CT scan exposure voltages. The phantom samples were printed using a dual-extruder 3D printer, with Expanded Polycarbonate (EPC) used as the kidney phantom material. CT scan exposure voltages were set to 80 kV, 100 kV, and 120 kV. Kidney stone sizes used in this study ranged from 1 mm to 8 mm (1 mm, 2 mm, 3 mm, 4 mm, 5 mm, 6 mm, 7 mm, and 8 mm). The measured density of EPA-GF was 1.51 ± 0.06 g/cm³. The CT numbers obtained at each voltage were 373.30 HU, 329.05 HU, and 299.46 HU, respectively. The corresponding electron density values were 1.231, 1.210, and 1.196, respectively. The effective doses measured at each voltage were 0.0240 mSv, 0.0448 mSv, and 0.0798 mSv. All parameter values were found to be closely aligned with literature references. The smallest visible kidney stone size detected was 2 mm.
Pengembangan Kompetensi Guru-Guru Tingkat SMA di Sukoharjo dalam Kalibrasi Alat Ukur untuk meningkatkan Kualitas Pembelajaran Fisika Fuad Anwar; Mohtar Yunianto; Cari Cari; Suparmi Suparmi; Darmanto Darmanto
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 14, No 2 (2025): November
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v14i2.105929

Abstract

Telah dilakukan upaya peningkatan kualitas Guru MIPA di tingkat SMA di Kabupaten Sukoharjo, kegiatan diikuti sebanyak 20 Guru dari perwakilan 20 Sekolah setingkat SMA Muhammadiyah di Kabupaten Sukoharjo, kegiatan ini bekerjasama dengan Majlis Dikdasmen dan PNF Kab Sukoharjo dan BKKSM Kabupaten Sukoharjo. Kegiatan tersebut diawali dengan pelaksanaan pretest untuk mengetahui kemampuan awal peserta, dilanjutkan sesi diseminasi hasil kalibrasi alat ukur, penjelasan materi kalibrasi dan diakhiri dengan postest. Dari hasil pelaksanaan kegiatan diperoleh hasil peserta memahami apa yang telah disampaikan ditunjukkan dengan adanya kenaikan rerata nilai test dari 4,3 menjadi 8,3. Harapan dari peserta kegiatan ini dapat ditindaklanjuti dengan kegiatan lainnya untuk peningkatan kompetensi guru.
A Study of the Results of Time-Dependent Ginzburg-Landau Equation Using Scilab Tanzillal Alfargana; Artono Dwijo Sutomo; Fuad Anwar
Jurnal Materi dan Pembelajaran Fisika Vol 14, No 2 (2024): Jurnal Materi dan Pembelajaran Fisika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jmpf.v14i2.92340

Abstract

This study aims to examine computational (numerical) programs in solving the Ginzburg-Landau Time-Dependent Equation. The Ginzburg-Landau Time-Dependent Equation (TDGL), which is often used to model the dynamics of superconductors in external magnetic fields.  The TDGL equation is made using the Scilab platform, then the results are compared with the results of Fortran. This study involves experiments with variations in superconductor size to observe their effect on simulation results. The main focus of this study is to study the relationship between the mean magnetization of superconductors and external magnetic fields (He), as well as to evaluate the accuracy and efficiency of the results obtained from the two computing platforms.  These results show the relationship between the mean of the superconductor magnetization and the external magnetic field, as well as a comparison of the Vs He graph of Scilab and Fortran showing the relationship between the superconductor order parameters and the external magnetic field.