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All Journal JFA (Jurnal Fisika dan Aplikasinya) Journal of Natural Sciences and Mathematics Research Knowledge Engineering and Data Science Physics Education Research Journal Jurnal Fisika dan Terapannya Parta: Jurnal Pengabdian Kepada Masyarakat Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan
Heni Sumarti
Universitas Islam Negeri Walisongo Semarang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Physics Other

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Analysis of chest X-Ray (CXR) images in COVID-19 patients based on age using the Otsu thresholding segmentation method Uhty Maesyaroh; Laelatul Munawaroh; Heni Sumarti; Rico Adrial
Journal of Natural Sciences and Mathematics Research Vol 7, No 2 (2021): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.2021.7.2.10891

Abstract

The infection with the COVID-19 virus or better known as the Corona virus spread throughout China and other countries around the world until it was designated a pandemic by the World Health Organization (WHO). Detection of patients infected with COVID-19 in the form of RT-PCR, CT-Scan images and Chest X-Ray (CXR). This study aims to analyze CXR images of COVID-19 patients based on age using Otsu Thresholding Segmentation. The image segmentation process uses the Otsu auto-tresholding method to separate objects from the background on the CXR image. The results show that the images of COVID-19 patients have pneumonia spots that are not visible on the original CXR image. The average value of the accuracy of the Otsu Thresholding results is 95.18%. Penunomia spots are mostly found in COVID-19 patients aged 50 to 70 years and over which cause severe lung damage.©2021 JNSMR UIN Walisongo. All rights reserved.
Classification of Pneumonia in Thoracic X-Ray images based on texture characteristics using the MLP (Multi-Layer Perceptron) method Latifatul Istianah; Heni Sumarti
Journal of Natural Sciences and Mathematics Research Vol 6, No 2 (2020): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.2020.6.2.11228

Abstract

One of the diseases that attack the lungs is pneumonia. This disease can attack someone with a weak immune system. Pneumonia is inflammation of the lungs that can be caused by pathogens, such as bacteria, viruses, and fungi. The purpose of this study was to classify fungal pneumonia, bacterial pneumonia, and lipoid pneumonia based on texture characteristics and the MLP method using machine learning WEKA. The method in this study has three stages including pre-processing, extraction of texture features consisting of Histogram and GLCM, and classification using the MLP (Multi Layer Perceptron) method. The results of the texture feature extraction showed that the three types of pneumonia were: lipoid pneumonia with brightness, sharp contrast random distribution on correlation characteristics, bacterial pneumonia with high brightness, high contrast random distribution on energy characteristics, and fungal pneumonia with brightness, sharp contrast, random distribution of homogeneity attributes. The third similarity of pneumonia is in the gray level that collects each other in the middle. The method used in this study resulted in the same accuracy, sensitivity, and specificity, namely 100%. The image classification in this study shows the success of the texture features and the MLP method in classifying pneumonia images accurately so that they can be used as additional tools that make it easier for medical experts.   ©2020 JNSMR UIN Walisongo. All rights reserved. 
Analysis of Axial CT-Scan image of COVID-19 patients based in gender using the Otsu Thresholding method Melany Puspa Damayanti; Heni Sumarti
Journal of Natural Sciences and Mathematics Research Vol 6, No 1 (2020): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.2020.6.1.11152

Abstract

At the beginning of 2020, the world was shocked by the emergence of the COVID-19 virus. This virus has spread to all corners of the world, not only in Indonesia. Therefore, the government needs to make efforts to break the chain of transmission of this virus. One of these efforts is to detect COVID-19 as early as possible. Using CT images can be one of the early detection efforts of early-phase lung infections in COVID-19 patients. The stage in detecting COVID-19 is by segmenting the image. In this study, segmentation was carried out using the Otsu Thresholding method on 8 axial CT images of the lungs of COVID-19 patients, consisting of 4 images of male patients and 4 images of female patients. Then the image segmentation results of male and female patients were compared and evaluated using ROC measurements, Threshold (T) values and analyzed for GGO (grand-glass opacity). The result can be seen that judging from the value of the ROC measurement results, the measurement of image segmentation evaluation of male patients is more accurate than female patients. The number of false negatives for male patients and female patients is the same, while the number of false positives for male patients is less than female patients. Threshold value of the image segmentation results of male and female patients is the same so that the density of image segmentation is the same. GGO (grand-glass opacity) for male COVID-19 patients aged between 45-55 years is fuller than female COVID-19 patients aged 45-55 years. This shows that men are more at risk of dying from COVID-19 than female.©2020 JNSMR UIN Walisongo. All rights reserved.
ANALISIS DAMPAK PUASA SENIN KAMIS TERHADAP KADAR KOLESTEROL DALAM DARAH MENGGUNAKAN ALAT UKUR NON-INVASIF BERBASIS ARDUINO UNO Muhammad Labib; Farah Alfiana Na’ila; Lailiyatu Latifah; Heni Sumarti
JFT : Jurnal Fisika dan Terapannya Vol 9 No 1 (2022): JUNI
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v9i1.25745

Abstract

Excessive cholesterol in the blood can have an impact on health, causing various deadly diseases. Fasting Monday and Thursday is one solution in lowering cholesterol levels in the blood apart from our main reason for worshiping Allah SWT. The purpose of this study was to determine the effect of fasting on Mondays and Thursdays on cholesterol levels in the blood using a non-invasive cholesterol level measuring instrument based on Arduino Uno. The method used is the Research and Development (R&D) method. The results showed that the non-invasive measuring instrument had an accuracy of 97.02%, so it was feasible to be used as a medical measuring instrument. Analysis of six respondents who did fasting Monday and Thursday shows a linear tendency to decrease cholesterol levels with an average coefficient of determination of 0.3282.
Development of Chobmons Prototype: Cholesterol and Blood Sugar Level Monitoring System Based on Internet of Things (IoT) using Blynk Application Heni Sumarti; Tria Nurmar’atin; Hamdan Hadi Kusuma; Istikomah Istikomah; Irman Said Prastyo
Jurnal Fisika dan Aplikasinya Vol 18, No 3 (2022)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v18i3.12532

Abstract

In the era of the industrial revolution 4.0, we need remote technology and products that d not created new medical waste piles. An unhealthy lifestyle can cause many diseases, either degenerative diseases, namely over rate cholesterol and blood sugar level. High cholesterol and blood sugar levels are causes of major influence on atherosclerosis, stroke, micro-vascular, and cardiovascular complications. We offer a non-invasive cholesterol and blood sugar monitoring device based on red LED and infrared light absorption using the Nellcor DS-100A sensor. This technology can help reduce cumulative medical waste and help health workers to monitor patients remotely. This study used ten random samples to calibrate cholesterol and blood sugar levels. The coefficient of determination values were 0.9580 and 0.9581, respectively, which gave excellent values so that the study is continued by collecting data. Data retrieval use 20 random sample data to measure cholesterol and blood sugar levels, the average accuracy prototype is 90.26% and 91.16%, respectively. It shows great potential in determining estimation value at cholesterol and blood sugar levels. The monitoring system can show the data on the LCD display in Blynk Application with the average time required of 1.07 s.
Effect of Molarity on Double Layer Photocatalytic Activity ZnO/ZnO:Ag for Metanil Yellow Degradation Sheilla Rully Anggita; Hamdan Hadi Kusuma; Heni Sumarti; Sosiawati Teke
Physics Education Research Journal Vol 5, No 1 (2023)
Publisher : Faculty of Science and Education, UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/perj.2023.5.1.13301

Abstract

Double layer (DL) ZnO/ZnO:Ag has been synthesized with variations in molarity of 0.1, 0.3, 0.5,  and 0.7 M and its application as a degrading agent for methanil yellow dye. This study aims to determine the effect of the molarity of the DL ZnO/ZnO:Ag on crystallinity and photocatalytic activity for methanil yellow degradation. DL ZnO/ZnO:Ag was synthesized using sol-gel technique and deposited with spray coating technique. The results of DL ZnO/ZnO:Ag were characterized by XRD to determine the crystallinity and particle size. The photocatalytic activity was carried out by immersing the DL ZnO/ZnO:Ag layer in 10 ppm methanil yellow solution and irradiating it with UV light for 4 hours and then tested using UV-Vis spectroscopy to get the percentage of methanil yellow degradation. The results showed that the crystallinity of the DL ZnO/ZnO:Ag for all molarity variations had a hexagonal wurtzite structure. Grains size increase as molarity increases from 0.1 to 0.5 M. However, if the concentration continues to be increased to 0.7M, the grain size decreases. Photocatalytic activity is increasing every hour, as indicated by the increasing percentage of degradation. Precursor in 0.5 M has the maximum percentage of degradation is 25.32%.
Profil Kadar Gula Darah, Asam Urat dan Kolesterol Warga Beringin Forest Park dengan Metode Non-invasif dan Prinsip Zero Waste Heni Sumarti; Istikomah Istikomah; Affa Ardhi Saputri; Susilawati Susilawati; Fahira Septiani; Alvnia Nabila Tasyakuranti; Qisthi Fariyani
Parta: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/parta.v3i2.4125

Abstract

Pemeriksaan kesehatan merupakan pemeriksaan yang berfokus pada pencegahan primer dan sekunder, dengan melihat secara holistik berbagai faktor kesehatan yang dapat menyebabkan penyakit tertentu di masa depan. Pemeriksaaan yang dilakukan dengan menggunakan metode non-invasif sesuai dengan salah satu prinsip zero waste yaitu mengurangi limbah medis. Tujuan kegiatan pengabdian ini adalah untuk mendapatkan profil kadar gula darah, kolesterol dan asam urat menggunakan metode non-invasif berbasis prinsip zero waste dan mencegah berbagai resiko penyakit akibat kadar yang melebihi ambang normal. Metode penerapan dalam pengabdian masyarakat ini terdiri dari tiga tahap, yakni persiapan, pelaksanaan dan evaluasi. Persiapan berupa persiapan tempat, alat dan perangkat tambahan. Pelaksanaan berupa penjelasan alat dan pemeriksaan kesehatan. Evaluasi berupa wawancara dengan warga terkait kesan saat menggunakan alat dan feedback terkait hasil pemeriksaan. Hasil pemeriksaan kesehatan pada 29 warga menunjukkan rata-rata profil kadar gula darah 148.93 mg/dl, kadar kolesterol 102.24 mg/dl, dan kadar asam urat 3.17 mg/dl. Hal ini menunjukan bahwa rata-rata kadar gula darah sedikit di atas ambang normal, sedangkan kadar kolesterol dan asam urat berada pada ambang normal. Warga merasa sangat nyaman dengan pemeriksaan non-invasif karena tidak perlu melukai jari untuk mengambil sampel.
Utilizing Appropriate Technology for Non-Invasive Examination of Blood Sugar, Cholesterol, and Uric Acid Levels Alvania Nabila Tasyakuranti; Fahira Septiani; Heni Sumarti; Istikomah Istikomah; Qisthi Fariyani; Sheilla Rully Anggita; Affa Ardhi Saputri; Susilawati Susilawati; Irman Said Prastyo; Hartono Hartono; Fachrizal Rian Pratama
Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan Vol 1 No 4 (2023): Juli 2023
Publisher : LPPM Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/madani.v1i4.7619

Abstract

High blood sugar, cholesterol and uric acid are non-communicable diseases and are one of the causes of death in the world. Generally, this disease is very susceptible to be suffered by the elderly. One of the tests to monitor blood sugar, cholesterol, and uric acid levels is with an invasive disposable test kit. This method is inefficient because it causes the risk of infection, increases medical waste and is quite expensive. Real work students from Walisongo State Islamic University Semarang group 53 held a free examination in Krandon Village as an effort to carry out community service through appropriate technology in the health sector. Examination tools are made by lecturers and students using non-invasive methods (without injuring the body). Based on the results of student interviews with the community and health workers, this work program received a good response because the examination did not cause pain and helped reduce medical waste in the environment.
EEG Classification while Listening to Murottal Al-Quran and Classical Music using Random Forest Method Heni Sumarti; Fahira Septiani; Agus Sudarmanto; Wahyu Caesarendra; Rizki Edmi Edison
Knowledge Engineering and Data Science Vol 6, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v6i22023p157-169

Abstract

This study is aimed to classify the brain activity of adolescents associated with audio stimuli; murottal Al-Quran and classical music.  The raw data were filtered using Independent Component Analisys (ICA) and followed by band-pass filter in Python on the Google Colab Extraction was processed with Power Spectral Density (PSD) and the Random Forest Method in Weka Machine Learning was used for classification.  The research results showed the same results between the two types of stimulation, namely the order of brain waves from highest to lowest were delta, alpha, theta and beta. The average brain waves of teenagers when given murottal al-Quran stimulation were 45.32% delta, 31.60% alpha, 17.02 theta and 6.05% beta. Meanwhile, the average brain waves of teenagers when given classical music stimulation were 46.54% delta, 28.64% alpha, 19.21% theta and 5.50% beta. Classification is obtained with the best value that frequently appears (mode) from the prediction results for each sample using random forest methods. The accuracy, precision, and recall of classifying adolescent brain waves when given murottal and classical music stimuli using the Random Forest method with cross-validation technique (optimum at k-fold=5) were 65.38%, 76.92%, and 70.00%, respectively.  The results of this study show that stimulation using murottal al-Quran and classical music effectively improves adolescent relaxation conditions.
Co-Authors Affa Ardhi Saputri Agus Sudarmanto Alvania Nabila Tasyakuranti Alvnia Nabila Tasyakuranti Fachrizal Rian Pratama Fahira Septiani Farah Alfiana Na’ila Hamdan Hadi Kusuma Hartono Hartono Irman Said Prastyo Istikomah Istikomah Laelatul Munawaroh Lailiyatu Latifah Latifatul Istianah Melany Puspa Damayanti Muhammad Labib Qisthi Fariyani Rico Adrial Rizki Edmi Edison Sheilla Rully Anggita Sosiawati Teke Susilawati Susilawati Tria Nurmar’atin Uhty Maesyaroh Wahyu Caesarendra