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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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Journal : BULETIN FISIKA

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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