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All Journal INDONESIAN JOURNAL OF APPLIED PHYSICS Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat SEMAR
Cari Cari
Physics Department, Universitas Sebelas Maret
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Education Energy Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Physics Social Sciences

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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.
Lung Cancer Detection Using a Modified Convolutional Neural Network (CNN) Cari Cari; Mohtar Yunianto; Aisyah Ajibah Rahmah
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.77032

Abstract

Image processing is used to classify lung images with malignant or normal nodules. The Convolutional Neural Network (CNN) method is often used to classify images. This study uses a modified CNN architecture with various layers, filters, batch size, dropout, and epoch values. Variations were made to determine the best accuracy value and reduce the overfitting value of the proposed CNN architecture. This study implements the method using the Keras library with the Python programming language. The data is in the form of CT-Scan images of lung cancer and normal lungs. The results of several experiments from the proposed model produce an accuracy value of 95% using three layers, 128 filters on the first layer, 256 on the second layer, and 512 filters on the third layer, then with 32 batch sizes, 0.5 dropout.
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.
Co-Authors Aisyah Ajibah Rahmah Anwar, Fuad Darmanto Darmanto Hardo Ardiansyah Gilang Permadi Mohtar Yunianto Mohtar Yunianto Mohtar Yunianto Suharyana Suharyana Suparmi Suparmi