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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) BULETIN FISIKA
Asmaul Lutfi Marufah
Universitas Muhammadiyah Lamongan
Astronomy Computer Science & IT Earth & Planetary Sciences Education Energy 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.
Optimizing the ROI (Region of Interest) Quality of Breast Cancer Skin Contour Images Using a Combination of Contrast Enhancement Methods Based on LiDAR Data Vanis Aisyah Ayu Sugiarti; Muktamar Cholifah Aisiyah; Aris Widodo; Asmaul Lutfi Marufah
BULETIN FISIKA Vol. 26 No. 2 (2025): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2025.v26.i02.p05

Abstract

Breast cancer has the highest prevalence and mortality rates among cancers in Indonesia, largely due to delayed diagnosis. One of the major challenges is the poor quality of medical images used for early detection. This study aims to improve the quality of images in the important area of the skin around breast cancer patients using Light Detection and Ranging (LiDAR) data by combining methods to enhance contrast and reduce noise. A total of 80 image data (40 cancer anomalies and 40 normal without cancer) and utilized MATLAB software version 24.1.0.2537033 (R2024a) for image processing, starting from increasing CNR and increasing SNR to semi-automatic ROI masking. The results showed that there was a significant increase in CNR values (an average of 38%) and SNR (an average of 42%). These results are supported by a paired T-test, which shows a significant difference between pre- and post-processed images, both in CNR α < 0.0001 and SNR α < 0.0001 parameters. These findings support the claim that image quality improvement is not only visually evident but also statistically evident. This study proves that the method used is effective in improving image quality and shows that LiDAR data has great potential in medical imaging systems.
Efektivitas Ultrasonic Mist Maker sebagai Evaporative Cooler Pada Greenhouse Hidroponik Berdasarkan Homogenitas Peta Kelembapan 2D Dini Makrufah; Muhamad Azwar Annaz; Asmaul Lutfi Marufah; Aris Widodo
BULETIN FISIKA Vol. 26 No. 2 (2025): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2025.v26.i02.p03

Abstract

Penelitian ini mengevaluasi efektivitas ultrasonic mist maker sebagai evaporative cooler dalam mengatur distribusi kelembapan pada salah satu greenhouse Hidroponik Farm Lamongan. Pengukuran kelembapan dilakukan pada 36 titik grid (dimensi 3 × 12 m) dengan hygrometer UNI-T UT333 pada kondisis sebelum dan setelah pengoperasian mist maker ultrasonik selama 20 menit. Data diolah menggunan perangkat lunak Surfer untuk menghasilkan peta kontur dan sebaran homogenitas distribusi kelembapan pada 6 rentang (F1-F6). Hasil menunjukkan bahwa sebelum mist maker dioperasikan, RH berkisar antara 42–58%, dengan distribusi didominasi kategori relatif kering (F2) sebesar 21,56% dan kategori aman (F3) sebesar 78,44%, tanpa area pada kategori ideal (F4). Setelah pengoperasian, rentang kelembapan naik menjadi 60-70 % dengan kategori F2 tidak lagi tercatat (0%), F3 meningkat menjadi 97,13% dan F4 mencakup 2,87% luas greenhouse. Meskipun menunjukan pola positif dalam peningkatan kelembapan, distribusi kelembapan yang dicapai masil belum sepenuhnya ideal. Hal ini menunjukkan perlunya optimalisasi melalui penelitian
Co-Authors Abdurachman Abdurachman Agus Rubiyanto Aris Widodo Aris Widodo Astri Dewayani AZWAR ANNAS, MUHAMAD Dini Makrufah Hilmy Yafi Zuhair Muhamad Azwar Annaz Muktamar Cholifah Aisiyah Ulfi Qomariyah Hanum Uswatun Chasanah Uswatun Chasanah Vanis Aisyah Ayu Sugiarti