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All Journal Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Jurnal Neutrino : jurnal fisika dan aplikasinya JURNAL FISIKA JFA (Jurnal Fisika dan Aplikasinya) Jurnal Imejing Diagnostik Journal of Natural Sciences and Mathematics Research Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Jurnal Inovasi dan Pembelajaran Fisika Knowledge Engineering and Data Science Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) Journal of Physics and Its Applications MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Teras Fisika : Teori, Modeling, dan Aplikasi Fisika Physics Education Research Journal Jurnal Fisika dan Terapannya Parta: Jurnal Pengabdian Kepada Masyarakat Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Jurnal Fisika Jurnal Teknik Elektro Journal of Holistic Medical Technologies Community Research and Application Journal (CRAJ)
Sumarti, Heni
Universitas Islam Negeri Walisongo Semarang
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Physics Social Sciences Other

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Classification of diabetic retinopathy and normal fundus images based on texture features using Multilayer Perceptron (MLP) Ayu Wulandari; Heni Sumarti
Journal of Holistic Medical Technologies (JHMT) Vol. 1 No. 2 (2025): June
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

Diabetic retinopathy is a disease caused by uncontrolled blood sugar levels and occurs continuously. Funduscopic examination with an ophthalmoscope tool to determine diabetic retinopathy. This study aims to classify funduscopy images in distinguishing normal eyes and diabetic retinopathy based on texture characteristics using the multilayer perceptron (MLP) method. Texture feature extraction as a class recognition process that aims to produce characteristics based on the texture of each image. The texture features used are histogram and GLCM with 10 parameters. Research data is sourced from the Zenodo website and the National Library of Medicine. Based on the results of the study, it shows that the multilayer perceptron method with the help of Weka machine learning in classifying eye fundus images to distinguish normal eye cases and diabetic retinopathy produces an accuracy value of 83.75% at k-folds 20 cross validation with sensitivity and specificity values of 49.20% and 95.09%.
Identification of istihadhah blood color using TCS3200 color sensor with Multilayer Perceptron (MLP) method Syukrotus Sa’diati; Heni Sumarti
Journal of Holistic Medical Technologies (JHMT) Vol. 1 No. 2 (2025): June
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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One of the natures of women, including menstruation, namely the discharge of blood from the vagina periodically and has a certain cycle. However, this cycle can experience disturbances, in Islam it is referred to as istihadloh. Women who are experiencing istihadloh are called mustahadloh. One of the mustahadloh categories is Mu'tadah Ghoiru Mumayyizah, namely women who have recently bled but cannot distinguish between strong and weak blood. This study aims to distinguish between menstrual blood and istihadloh based on its color. The research method was carried out by designing and manufacturing the TCS3200 color sensor tool based on Arduino Uno with RGB value output results. The average RGB value of istihadloh blood is R 71.6, G 83.7 and B 55.2. While the average RGB values for menstrual blood color are R 143.3, G 176.6 and B 79.3. The results of the classification accuracy using the MLP method in differentiating menstrual blood and istihadloh based on color using the TCS3200 color sensor are 96.7%.
Dose Analysis of Boron Neutron Capture Therapy (BNCT) in Brain Cancer Based on Cyclotron Using PHITS Application Simulation Muhammad Ghozali; Heni Sumarti
Journal of Holistic Medical Technologies (JHMT) Vol. 1 No. 2 (2025): June
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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One of the cancers is brain cancer, the most dangerous of which is Glioblastoma Multiforme (GBM). The research conducted aims to determine the effect of boron concentration on the boron dose rate, irradiation time and absorbed dose. Current cancer treatment still provides deterministic effects (tissue reactions) of radiation to patients and long therapy times. Therefore, researchers conducted research on Boron Neutron Capture Therapy (BNCT) in the treatment of cancer patients that is more selective in destroying cancer cells and is safe because it does not damage healthy tissues around it and the therapy requires a short time. The type of research conducted is quantitative experimental research. The research method with simulation uses the Particle and Heavy Ions Transport code System (PHITS) application on therapy process of Boron Neutron Capture Therapy (BNCT) for brain cancer patients type of Glioma grade 4 called Glioblastoma Multiforme. Patient modeling is based on the Oak Ridge National Laboratory-Medical Internal Radiation Dose (ORNL-MIRD) phantom in adult men who have a brain cancer diameter of 4 cm at a depth of 7 cm with a neutron source from a 30 MeV Cyclotron. The boron concentration used has 3 variations, as follows 20 μg/g, 40 μg/g and 60 μg/g of cancer tissue. Based on the results of the study at a boron concentration of 60 μg/g in the Gross Total Volume (GTV) organ or the center of cancer cells with a dose rate value of 11,160 x 10-2 Gy/s, thus accelerating the irradiation time within a period of 4 minutes 48 seconds and the absorbed dose increases by 30 Gy. Thus, it can be concluded that the higher the boron concentration, the faster the boron dose rate value, the greater the absorbed dose and the faster the irradiation time when carrying out brain cancer therapy.
Experimental Study of Brain Activity on ECVT-Based Motor Movements Hani Nur Endah; Heni Sumarti; Marlin Ramadhan Baidillah
Journal of Holistic Medical Technologies (JHMT) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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This study investigates the characterization of brain signals in response to motor stimulation using the principle of Electrical Capacitance Volume Tomography (ECVT). The experiment was conducted on a 21-year-old male subject, who was exposed to motor tasks (hand gripping and imagined movement) and audiovisual stimulation (watching a film), alongside control conditions with water and air. Data acquisition was performed using an ECVT helmet sensor at frequencies of 500 kHz, 1 MHz, and 5 MHz. The results revealed variations in vpp values across different conditions, with the highest sensitivity observed at 500 kHz during imagined movement. These findings indicate that internal motor imagery elicits stronger brain activity compared to resting or external stimulation. Overall, the study demonstrates that ECVT is capable of distinguishing brain signal characteristics under different types of stimulation, with 500 kHz identified as the optimal frequency for sensitivity.
Study of the Impact of Dzun Nuun Prayer on Brain Wave Patterns of Adolescents with Overthinking Symptoms Through Electroencephalography (EEG) Examination Putri Zulfikah; Heni Sumarti; Istikomah
Journal of Holistic Medical Technologies (JHMT) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Overthinking is a psychological disorder characterized by excessive, repetitive thoughts. The Dzun Nuun prayer is believed to be a spiritual approach capable of calming the mind and can be examined through the activity of alpha and beta brain waves. This study aims to determine the normalized intensities of alpha and beta waves before and after the administration of the Dzun Nuun prayer stimulus, and to assess its effect on overthinking among adolescents. The research employed a quantitative, experimental method using an Electroencephalography (EEG) device. The subjects were 20 final-year university students experiencing overthinking, and the data were analyzed using a Paired-Samples T-Test. The results showed increased intensities of alpha waves (0.05–0.30) and beta waves (0.01–0.13) following the Dzun Nuun prayer stimulus. Statistical testing revealed significant effects on both alpha (p = 0.026) and beta waves (p = 0.039), indicating a meaningful influence. In conclusion, the Dzun Nuun prayer has a positive effect on brain activity, reducing overthinking symptoms by enhancing relaxation and focus-related brain waves.
Examination of uric acid levels in Karonsih, Semarang: invasive and non-invasive approaches based on research Heni Sumarti; Irman Said Prastyo; Rina Susi Cahyawati; Istikomah; Ice Uliya Sari; Mohammad Candra Malindo
Community Research and Application Journal (CRAJ) Vol. 1 No. 1 (2024): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Regularly monitoring uric acid levels is essential for preventing and managing gout, where excess uric acid accumulates in joints and causes pain and swelling. Traditionally, invasive blood sample methods are used for this measurement, which can be uncomfortable and increase medical waste. This community service project, organized by the Physics Department of Universitas Islam Negeri Walisongo Semarang in collaboration with the Ngabdi Neliteni Ngabekti (N3) community organization, compares invasive and non-invasive approaches for uric acid level assessment among residents in Karonsih, Semarang. A newly developed non-invasive device was evaluated alongside standard invasive methods based on participant comfort, accuracy, and feedback. Results indicate that, although the non-invasive device showed a mean error rate of 40.52%, it was preferred for its comfort and non-invasive nature. These findings highlight the potential of non-invasive technology in community health monitoring and underline the importance of regular health check-ups facilitated by collaborations between community organizations, educational institutions, and government bodies.
Community-Based Health Screening Initiative: Implementing Non-Invasive Diagnostic Technology for Blood Glucose, Cholesterol, and Uric Acid Detection in Rural Indonesia Fahira Septiani; Alvania Nabila Tasyakuranti; Heni Sumarti; Affa Ardhi Saputri
Community Research and Application Journal (CRAJ) Vol. 1 No. 2 (2025): June
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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This study presents a comprehensive community service initiative aimed at improving healthcare accessibility through free health screening services in Krandon Village, Guntur District, Demak Regency. The program implemented both conventional invasive and innovative non-invasive diagnostic technologies to measure blood glucose, cholesterol, and uric acid levels among rural community members. The initiative was conducted through a collaborative effort between the Physics Department of Universitas Islam Negeri Walisongo Semarang and the community organization Ngabdi Neliteni Ngabekti (N3). The program successfully demonstrated the practical application of university research in addressing community health needs while introducing innovative diagnostic technologies that enhance patient comfort and reduce medical waste. This community-based screening approach facilitated early detection of chronic diseases such as diabetes, cardiovascular disease, and gout, while simultaneously providing health education to promote sustainable lifestyle changes. The results highlight the potential of university-community partnerships in bridging the gap between academic research and practical healthcare solutions for underserved populations.
Al-Yusru-Based Community Service: Implementation of Vital Signs Monitoring System (AL-YUSVID) at PPTQ Daarul Quran As-Syafaah, Kedung Ringin, East Lampung Heni Sumarti; Irman Said Prastyo
Community Research and Application Journal (CRAJ) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Routine monitoring of vital signs is an important aspect in disease prevention and early detection efforts. Conventional methods are often time-consuming and inefficient, especially in community health services. This community service activity was conducted by the Physics Department Team of Universitas Islam Negeri Walisongo Semarang in collaboration with PPTQ Daarul Quran As-Syafaah to test the implementation of the AL-YUSVID (Al-Yusru Integrated Vital Signs Detection) prototype in monitoring vital signs in the Kedung Ringin community, East Lampung. The AL-YUSVID prototype, developed based on the principle of al-Yusru (ease and sustainability), was tested to measure oxygen saturation (SpO2), heart rate, and body temperature in 25 participants. This activity increased community awareness about the importance of routine health monitoring and demonstrated the potential of non-invasive website-based technology in community health services.
Alkukosrat : Pengembangan Alat Ukur Kolesterol dan Asam Urat Secara Non-Invasif Menggunakan Sensor TCRT-5000 Shofani, Maya; Hardianto, Firman; Sumarti, Heni
Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) 2021: Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) 2021
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/prosidingsnfa.v5i0.71827

Abstract

Abstract: Research has been carried out on the development of a non-invasive cholesterol and uric acid level measuring instrument using TCRT 5000 sensor. The purpose of this research is to create an innovative medical instrument measuring device that is easy, cheap, does not increase the accumulation of medical waste and is not painful (Invasive). The measuring instrument developed by the researcher was named Alkukosrat (Measuring Cholesterol and Uric Acid). Methode of this research is RnD (Research and Development) research through the stage of planning, processing, and testing tool. Testing of the instrument is carried out by measuring cholesterol of 14 sample and uric acid levels of 16 samples of random participants using the invasive method and the non-invasive method. The results of the calibration instrument produce accuracy was qualify the standard of the medical measuring instrument with an accuracy of measuring cholesterol levels of 97,98% and measuring uric acid levels of 95,2%. This research resulted in an innovation of cholesterol and uric acid measuring instruments as an alternative to non-invasively measuring cholesterol and uric acid levels.Abstrak: Telah dilakukan penelitian pengembangan alat ukur kadar kolesterol dan asam urat secara non-invasif dengan menggunakan sensor TCRT 5000. Tujuan dari penelitian ini adalah untuk menciptakan inovasi alat ukur alat kesehatan yang mudah, murah, tidak menambah penumpukan sampah medis dan tidak menyakitkan (non-invasif). Alat ukur yang dikembangkan peneliti bernama Alkukosrat (Alat ukur kolesterol dan asam urat). Metode dalam penelitian ini adalah penelitian RnD (Research and Development) melalui tahap perencanaan, pengolahan, dan pengujian alat. Pengujian instrumen dilakukan dengan mengukur kadar kolesterol dari 14 sampel dan asam urat dari 16 sampel partisipan acak menggunakan metode invasif dan non-invasif. Nilai kalibrasi alat menghasilkan tingkat akurasi data yang memenuhi standar alat ukur medis dengan akurasi pengukuran kadar kolesterol sebesar 97,98% dan pengukuran kadar asam urat 95,2%. Penelitian ini merupakan inovasi alat ukur kolesterol dan asam urat sebagai alternatif pengukuran kadar kolesterol dan asam urat secara non-invasif.
Pemantau Sinyal Vital untuk Identifikasi Kondisi Tubuh Pasien Covid-19 Menggunakan Sistem Telemedika Berbasis IoT Mushoffa, Fina; Sumarti, Heni; Anwar, Edi Daenuri
Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) 2021: Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) 2021
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/prosidingsnfa.v5i0.71825

Abstract

Abstract: Covid-19 is a disease that is still a source of concern today. Because of the ease with which Covid-19 is spreading, people must conduct examinations and monitoring of their body conditions. The goal of this study is to make it easier for the general public to monitor temperature, heart rate, and oxygen saturation, which are basic symptom parameters used to determine whether a person is Covid-19 or not. Measuring body temperature determines whether the body has a normal temperature or a fever, measuring heart rate determines whether the heart is beating regularly or not, and measuring oxygen saturation determines whether the body is tired or fit. The accuracy of the temperature measuring device is 99,06%, the accuracy of the heart rate measuring device is 99,6%, and the accuracy of the oxygen saturation measurement device is 99,39%, according to the findings of this study.Abstrak: Covid-19 merupakan suatu jenis penyakit yang masih menjadi kekhawatiran hingga saat ini. Mudahnya penyebaran Covid-19 membuat masyarakat perlu melakukan pemeriksaan hingga pemantauan terkait kondisi tubuh. Penelitian ini bertujuan untuk mempermudah masyarakat dalam memantau suhu, detak jantung, serta saturasi oksigen yang merupakan parameter gejala dasar untuk mengetahui apakah seseorang teridentifikasi Covid-19 atau tidak. Mengukur suhu tubuh membantu mengetahui suhu normal atau demam pada tubuh, mengukur detak jantung dapat mengetahui kondisi jantung berdetak teratur atau tidak, dan mengukur saturasi oksigen dapat membantu untuk mengetahui apakah kondisi tubuh lelah atau bugar. Hasil penelitian ini menunjukkan akurasi alat pengukur suhu sebesar 99,06%, akurasi alat pengukur detak jantung sebesar 99,6% dan akurasi pengukur saturasi oksigen sebesar 99,39%.
Co-Authors Adrial, Rico Affa Ardhi Saputri Agus Sudarmanto Alvania Nabila Tasyakuranti Alvania Nabila Tasyakuranti Alvania Nabila Tasyakuranti Alvnia Nabila Tasyakuranti Arifah Riana AYU WULANDARI Ayu Wulandari Azizah, Fitria Kholbi Azzahra, Jannatul Firdausa Baehaqi BELLA JULIA Cahyawati, Rina Susi Darma, Panji Nursetia Delia Okta Rahmadani Delia Okta Rahmadani1 Dewi Anggun Puspita Septiani Edi Daenuri Anwar, Edi Daenuri Fachrizal Rian Pratama Fahira Septiani Fahira Septiani Farah Alfiana Na’ila Fariyani, Qisthi Firman Hardianto Frida Agung Rakhmadi, Frida Agung Gideon, Samuel Hadi Kusuma, Hamdan Hani Nur Endah Hani Nur Endah Hardianto, Firman Hartono Hartono Huwaidah, Indah Rifdah Ice Uliya Sari Isnawati, Nurul Embun Istikomah Kholidah Kholidah, Kholidah Laelatul Munawaroh Lailiyatu Latifah Latifatul Istianah Maesyaroh, Uhty Marlin Ramadhan Baidillah Melany Puspa Damayanti Moch Husain Moch. Husain Mohammad Candra Malindo Muhammad Akmal K. H Muhammad Ghozali Muhammad Ghozali Muhammad Labib Muhammad Syafiul Huda Munawarohthus Sholikha Mushoffa, Fina Nanda Firdayana Nova Senandung Nuryani, Siska Permana, Riyan Prastyo, Irman Said Putri Diah Pitaloka Putri Zulfikah Putri, Diana Salsabila Qolby Sabrina Qolby Sabrina, Qolby Rahmani, Tara Puri Ducha Rahmawati, Aida Ramadhani, Bintang Rizal Krisdiyanto Rizki Edmi Edison Samuel Gideon Sari, Ice Uliya Septiani, Fahira Sheilla Rully Anggita Shofani, Maya Siska Nuryani Susilawati Susilawati Syahwa Ais Saputri Syntia Anggraeni Syukrotus Sa’diati Tasyakuranti, Alvania Nabila Tika Rahmawati Tria Nurmar’atin Triana, Devi Uhty Maesyaroh Wahyu Caesarendra Yuniati, Anis