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All Journal Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Jurnal Respirasi (JR) Tsaqofah: Jurnal Penelitian Guru Indonesia Jurnal Informatika Medis (J-INFORMED)
Asmaul Lutfi Marufah
Universitas Muhammadiyah Lamongan
Astronomy Computer Science & IT Earth & Planetary Sciences Education Health Professions Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Veterinary

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Optimal Diaphragmatic Breathing Patterns through Exercise Can Light Some Medical Problems Asmaul Lutfi Marufah; Hilmy Yafi Zuhair; Ulfi Qomariyah Hanum; Agus Rubiyanto; Astri Dewayani; Abdurachman Latief
Jurnal Respirasi Vol. 8 No. 2 (2022): May 2022
Publisher : Faculty of Medicine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.917 KB) | DOI: 10.20473/jr.v8-I.2.2022.106-112

Abstract

Breathing is an absolute human need. In an emergency, airway and breathing are the main problems that must be addressed immediately. Empirically, breathing techniques that people do in general are varied. Of all breathing patterns, it is believed that there must be the most optimal. One of them is diaphragmatic breathing (DB). DB plays the role of the diaphragm as the main muscle that performs the activity of inhaling and exhaling. Optimal breathing patterns, including certain DB, have the ability to relieve several medical problems. The aim of this study was to examine whether an optimal DB pattern could alleviate some medical problems. We conducted a literature study on 40 references consisting of 27 journals and 13 other appropriate literature sources. We searched library resources using the PubMed search engine through keywords: effectiveness of breathing, DB, and breathing exercises. Literature analysis was based on requirements, including inclusion and exclusion criteria. There were 26 journals which met the criteria. Optimal DB pattern can be a solution for chronic obstructive pulmonary disease (COPD), asthma, chronic stroke, congestive heart failure (CHF), gastroesophageal reflux disease (GERD), cerebral palsy (CP), labor pain management, and anxiety. It can be therapeutic to relieve some medical problems.
Penggunaan Software 3D Slicer pada Pemodelan dan Visualisasi Volumetrik Meningioma Marufah, Asmaul Lutfi; Annas, Muhamad Azwar
TSAQOFAH Vol 3 No 6 (2023): NOVEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v3i6.2713

Abstract

Meningioma is a tumor that is often found in Indonesia. Treatment for meningomenia itself can be through surgery, radiotherapy, or a combination of both. The decision to carry out radiotherapy itself must go through a planning stage using a treatment planning system (TPS) which requires accurate 3D volumetric imaging. On the other hand, 3D slicer itself is 3D imaging software that is commonly used in the field of radiology. Therefore, this study aims to find out how to use 3D slicer software in modeling and volumetric visualization of meningioma disease. This study uses MRI data from meningioma patients which are processed for volumetric segmentation with a 3D slicer. Based on the results obtained, it can be concluded that the 3D slicer software is effective for modeling and visualizing volumetric brain tumor disease. In this case the visualization & volumetrics look clear and relatively accurate, namely a volume of 16,8402 cm3 with an accuracy of 98.5%.
Comprehensive characterization of the Lidar TF Mini sensor for its potential use in early breast cancer detection, employing a data-driven approach Annas, Muhamad Azwar; Marufah, Asmaul Lutfi; Chasanah, Uswatun
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 11, No 1 (2025)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30870/gravity.v11i1.28900

Abstract

Breast cancer is a leading cause of death among women. Early detection helps prevent the spread of cancer to other organs, thereby reducing serious risks. This characterization aims to determine the potential of the TF Mini Lidar sensor if used as an early detection tool for breast cancer. Basically, this characterization uses a data-based approach. The method used in this study is to position the TFmini and HC-SR04 sensors in a fixed and stable position, after which the reflective object is positioned at a predetermined distance according to the distance to be used when detecting breast cancer, which is at a distance of 51-100 cm. PLX daq version 2.11 was used to facilitate data collection. The characterization of this sensor is based on the standard deviation, relative standard deviation, error and accuracy. This study concludes that the TFmini lidar sensor has a high potential to be used in breast cancer detection devices as a contour detector. This is in accordance with the measurement accuracy value of the tfmini sensor of 99.87%. However, additional sensors, such as cameras, are needed to obtain better contours and visual images.
SISTEM PERENCANAAN RADIOTERAPI PADA KANKER NASOFARING MENGGUNAKAN 3D SLICER Marufah, Asmaul Lutfi; Aisiyah, Muktamar Cholifah; Chasanah, Uswatun
Jurnal Informatika Medis Vol. 2 No. 1 (2024): Jurnal Informatika Medis (J-INFORMED)
Publisher : Program Studi Informatika Medis Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/im.v2i1.2077

Abstract

Radioterapi merupakan salah satu terapi yang digunakan untuk pengobatan kanker nasofaring. Radioterapi memiliki sistem perencanaan yang disebut TPS (Treatment Planning System). Penelitian ini bertujuan untuk mengetahui cara pembuatan sistem perencanaan perawatan radioterapi pada kasus kanker nasofaring dan untuk mengetahui penilaian perencanaan perawatan radioterapi menurut ICRU 83. Tujuan dilakukannya TPS adalah untuk mencapai distribusi dosis yang optimal sesuai dengan dosis yang ditentukan untuk volume target dan dosis toleransi jaringan normal di sekitarnya sesuai dengan aturan ICRU. Dalam penelitian ini digunakan suatu perangkat lunak yaitu 3D Slicer. Dalam 3D Slicer dibuat TPS untuk kasus kanker nasofaring. Perencanaan radioterapi memiliki penilaian HI (Homogenity Index) yang tertuang pada ICRU No 83 yaitu HI yang conform adalah HI yang memiliki nilai mendekati 0. Pada perencanaan radioterapi digunakan variasi jumlah beam. Pada penelitian ini digunakan variasi jumlah beam yaitu 4, 5, dan 6 beam. Hasil yang diperoleh adalah DVH pada 4 beam lebih bagus daripada 5 dan 6 beam, serta nilai HI yang didapat tidak jauh berbeda dengan nilai HI referensi,namun HI pada 4 beam adalah yang paling menjauhi nilai HI reference yaitu 0,5. Pembuatan TPS menggunakan ICRU 83 dilakukan melalui evaluasi nilai HI.
Co-Authors Abdurachman Abdurachman Agus Rubiyanto Astri Dewayani Hilmy Yafi Zuhair Muhamad Azwar Annas Muktamar Cholifah Aisiyah Ulfi Qomariyah Hanum Uswatun Chasanah Uswatun Chasanah