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Heni Sumarti
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Journal of Holistic Medical Technologies
Published by Konsorsium Pengetahuan Innoscientia
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Neuroscience
The Journal of Holistic Medical Technologies (JHMT) aims to advance the integration and application of diverse technological and scientific disciplines within the field of medical sciences. The journal aims to promote innovation and interdisciplinary research by publishing high-quality original research, reviews, and case studies that explore the intersection of medical physics, imaging technologies, electronics, herbal chemistry, and neuroscience. We aim to bridge the gap between theoretical and applied research, promoting holistic solutions to complex medical challenges. JHMT welcomes a broad range of submissions that contribute to these areas, aiming to integrate emerging technologies with traditional medical approaches to enhance patient care and expand scientific knowledge.
Arjuna Subject : Teknik (semua kategori) - Teknik Biomedis
Articles 16 Documents
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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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Abstract

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.
Implementation of the MQ135 Sensor for Carbon Monoxide Measurement in Air Fadhillah
Journal of Holistic Medical Technologies (JHMT) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

The increase in air pollution caused by industrial activities, transportation, and urbanization has led to a decline in air quality, particularly in urban areas. Carbon monoxide (CO) is one of the hazardous gases that can harm human health. This article discusses the use of the MQ135 sensor to measure CO concentration in the air, which is then monitored in real time through the Blynk application. The MQ135 sensor was calibrated using CO gas samples to ensure accurate readings. The test results showed that the sensor could quickly detect changes in CO concentration, and the Blynk application displayed the data directly in an easy-to-understand graphical form. These tests demonstrated that the developed system works effectively. A stable Wi-Fi connection on the ESP8266 module also ensured uninterrupted data transmission to the application. This implementation highlights the potential for real-time air quality monitoring, which is highly beneficial for managing air pollution and protecting public health.
Development of Heart Rate and Oxygen Saturation Measurement Device using MAX30100 Sensor based on Internet of Things (IoT) for Monitoring Fitness Aida Rahmawati
Journal of Holistic Medical Technologies (JHMT) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

The heart is an organ that circulates blood throughout the body. Heart health can be measured through cardiac parameters such as BPM and blood oxygen saturation (SpO2). Public busyness has become an obstacle in monitoring health status. This condition prompted researchers to collect data, analyze it, design the device, and conduct accuracy tests on the sensors used in the designed system. This system is designed to provide health information to users by providing real-time access to data at their fingertips during exercise. The devices used include the MAX30100 sensor which detects heart rate and the NodeMCU ESP8266 module which connects the system to the cloud (IoT), as well as a smartphone that displays data accuracy results through Blynk. The displayed data is then identified.
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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Abstract

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.
Classification of Glioma and Meningioma Brain Tumour Disease Using MRI Image Based on Texture Feature with Random Forest Method Arnes Desty Anggraini; Wulan Apriliyanah; Dianita Hanifah Rachmadhany
Journal of Holistic Medical Technologies (JHMT) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

This research aims to develop an automatic classification system that distinguishes between glioma and meningioma brain tumours using texture-based MRI images and the Random Forest method. Gliomas, which originate from glial cells, and meningiomas, which originate from the meninges, are the two most common types of brain tumours and have different characteristics. The accuracy of diagnosis is crucial for determining suitable treatment options. MRI image analysis has become a significant method in brain tumour diagnosis, although visual interpretation is often subjective and prone to errors. Therefore, the Random Forest algorithm is applied to overcome these limitations by identifying complex patterns from image data. This study used 300 glioma and 306 meningioma images from the Kaggle database, with texture features extracted using histograms, the Gray Level Co-occurrence Matrix (GLCM), and the Gray Level Run Length Matrix (GLRLM). The Random Forest algorithm in this research achieved an accuracy of 78.88%, a precision of 77.39%, and a recall of 81.00%. These findings demonstrate the potential of Random Forest as an effective tool in brain tumour diagnosis.
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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Abstract

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.

Page 2 of 2 | Total Record : 16

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