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All Journal JFA (Jurnal Fisika dan Aplikasinya) Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Jurnal Fisika : Fisika Sains dan Aplikasinya Jurnal Informatika Medis (J-INFORMED) BULETIN FISIKA
Muktamar Cholifah Aisiyah
Universitas Mhammadiyah Lamongan
Astronomy Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Health Professions Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Veterinary

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Characterization of Cough Sounds Based on Measured Sound Pressure Levels from Arduino-Based MAX9814 Sound Sensor Aris widodo; Muktamar Cholifah Aisiyah
Jurnal Fisika dan Aplikasinya Vol 19, No 1 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v19i1.14432

Abstract

Research has been conducted on the characterization of coughing sounds based on the measured sound pressure level of the Arduino-based MAX9814 sound sensor to determine the characteristics of coughing sounds based on the Sound Pressure Level (SPL). This research method is carried out by designing sound sensor hardware and software using the MAX9814 sound sensor. After that, recording the coughing sound data from the cough voice coswara respondent data set using a sound sensor and converting it to SPL data. After that, the cough SPL data was analyzed from the SPL cycle graph during recording and the cough phase pattern. And the resulting characterization of coughing sound based on coughing pressure using an Arduino-based MAX9814 sound sensor produced a coughing sound character in terms of sound pressure level (SPL) based on the expulsive phase and the intermediate phase of coughing. The expulsive phase indicator is emphasized the intensity of occurrence and density in one cycle of recording coughing sounds. And for the intermediate phase based on the drop rate of the SPL back to the SPL position without coughing. The SPL of cough detected by the MAX9814 sound sensor is ±80dB.  
MENENTUKAN NILAI PERIODE, AMPLITUDO, FREKUENSI DAN MEMVISUALISASI GETARAN HARMONIK PADA PEGAS DALAM BENTUK GELOMBANG Heri Rismawan; Muktamar Cholifah Aisiyah
Jurnal Fisika : Fisika Sains dan Aplikasinya Vol 8 No 1 (2023): Jurnal Fisika : Fisika Sains dan Aplikasinya
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/fisa.v8i1.11820

Abstract

Simple harmonic motion is motion back and forth regularly through an equilibrium point with the number of vibrations in every second always the same or constant. This experiment focuses on one example of an elastic object, namely a spring. The response of the spring to the force is indicated by the increase in the length of the spring. The background of this harmonic vibration experiment is to explain the process of harmonic vibration of a spring which is visualized in waves with the aim of explaining the harmonic vibration of a spring which is visualized in a wave. The data collection method in this experiment only used 1 load, namely 2 variations of springs (single spring and series spring) with a distance of 2 cm, 4 cm, and 6 cm. Different values ​​of A, y0, and c are obtained. From all the data that has been processed using the Orgin Arduino software application, it can be seen that the value of the amplitude is 0.46 cm-6.23 cm. The period value is 10.6 seconds-17.9 seconds and the frequency is 0.05 Hz-0.09 Hz. In addition, the initial phase value of -0.08 to -4.96 was also obtained. From the results of this experiment, the spring that has the largest amplitude value of 6.23 cm is a variation of the series spring with a deviation of 6 cm. While the spring which has the greatest period, frequency, and initial phase values ​​is the variation of spring 1 with a deviation of 4 cm. Based on the experimental results show that, the vibrations that occur in the spring are different in the form of waves. This is because the distance and the spring used during the experiment affect the shape of the waves that occur.
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.
Characterization of thermal and material properties of solid-state composite eco-briket from domestic waste and coconut shells Aisiyah, Muktamar Cholifah; Bait, Jennifer Farihatul
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 11, No 2 (2025)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v11i2.34542

Abstract

Municipal solid waste continues to pose a significant environmental and logistical challenge in rural regions of Indonesia, particularly due to limited landfill capacity and insufficient public engagement in waste management. This research aims to evaluate the effectiveness of solid-state composite eco-briquette technology as an alternative solution for optimizing waste handling at TPS 3R Lestari Desaku, Lamongan Regency. The study involved systematic waste segregation, carbonization of organic residues and coconut shells via controlled pyrolysis, and briquette fabrication using a 1:1 biochar blend and a 10% starch binder. Thermal and material characterizations were conducted following ASTM standard methods and benchmarked against Indonesian National Standards (SNI 01-6235-2000). The results revealed that the produced briquettes had high fixed carbon content (84%), low ash (1.72%) and moisture (6.15%), and a calorific value of 7411.76 cal/g, well above the SNI minimum threshold. These findings indicate that the briquettes possess strong thermal performance and structural integrity. The project also highlighted the potential of integrating physics-based waste valorization processes into community-level waste management systems. In conclusion, the adoption of eco-briquette technology demonstrates a promising path toward sustainable energy generation and supports broader circular economy objectives.
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.
Rancang Bangun Sistem Deteksi Dini Kanker Payudara Berdasarkan Indikator Warna Pada Kulit Berbasis ESP32-Cam Terintegrasi Edge Impulse Hana Dwi Cahyani; Muhamad Azwar Annas; Uswatun Chasanah; Muktamar Cholifah Aisiyah
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.p10

Abstract

Deteksi dini kanker payudara merupakan langkah penting untuk meningkatkan peluang kesembuhan dan menekan angka kematian. Penelitian ini merancang sistem deteksi dini berbasis citra digital dengan memanfaatkan indikator visual berupa warna kemerahan pada kulit. Sistem dikembangkan menggunakan ESP32-Cam yang terintegrasi dengan Edge Impulse untuk pelatihan dan inferensi model klasifikasi berbasis Artificial Intelligence (AI). Deteksi dilakukan melalui pengolahan citra warna dan metode machine learning (ML) yang bekerja berdasarkan prinsip fisika optik dan sensorika, khususnya interaksi cahaya dengan permukaan kulit, serta merupakan bentuk penerapan prinsip-prinsip fisika dalam pengembangan teknologi deteksi visual modern. Dataset dikumpulkan dari phantom payudara dengan variasi tingkat kemerahan, dua jenis warna kulit (kuning langsat dan sawo matang), serta pencahayaan berbeda (600 lux, 800 lux, dan 1000 lux). Gambar diambil dari jarak 20 cm dengan sudut 90° dan 45° menggunakan kamera handphone. Model dilatih menggunakan metode CNN dan diintegrasikan ke ESP32-Cam, namun proses inferensi masih memerlukan koneksi internet untuk dapat dijalankan. Hasil menunjukkan bahwa pencahayaan 800 lux memberikan visual optimal, dan berhasil menjalankan klasifikasi dengan akurasi rata-rata sebesar 90,9%. Evaluasi menggunakan confusion matrix menunjukkan bahwa sistem ini baik dan akurat. Kata kunci: Deteksi dini; edge impulse; ESP32-cam; fisika optik; kanker payudara.
Co-Authors Aris Widodo Aris Widodo Asmaul Lutfi Marufah AZWAR ANNAS, MUHAMAD Bait, Jennifer Farihatul Cahyani, Hana Dwi Hana Dwi Cahyani Heri Rismawan Makrufah, Dini Musfiana, Masria Ningrum, Izza Eka Uswatun Chasanah Uswatun Chasanah Vanis Aisyah Ayu Sugiarti