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Digital Sphygmomanometer Based on Arduino Using TFT LCD Display Kusumaningtyas, Yasmine Winda; Indrato, Tri Bowo; Asalim T.P, M.Prastawa; Utomo, Bedjo
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 1 (2019): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i1.240

Abstract

Sphygmomanometer is a human blood pressure measuring device which has several types such as mercury, digital, and aneroid. At this time, mercury Sphygmomanometer is not allowed to be used anymore considering the side effects of mercury which can harm the skin and even respiration. This study helps to reduce the use of mercury type Sphygmomanometer. The researchers make Arduino TFT LCD display based Sphygmomanometer so that the use of mercury can be reduced and make it easier for users to process measurement. The researchers used the oscillometry method in making the device to calculate the systolic and diastolic pressure. The result of blood pressure measurement has a systolic error rate of 0,08% and a diastolic error rate 0,09%.
Use Chest Vibrator to Prevent Pulmonary Infection in Patients with COPD Luthfiyah, Sari; Utomo, Bedjo; Ariswati, Her Gumiwang
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.255

Abstract

Chest infection is an infection that affects your lungs, either in the major respiratory tract (bronchitis) or in small air sacs (pneumonia). There is an accumulation of pus and liquid (mucus), and the respiratory tract becomes swollen, making breathing difficult. Chronic obstructive pulmonary disease (COPD) is a serious cause of death globally. This disease is characterized by episodes of acute exacerbations or aggravation that are superimposed upon a gradual decrease in pulmonary function. The study developed a device for vibratory techniques in chest physiotherapy. Vibration is a pressure applied to the chest during exhalation to move the secret into the large respiratory tract. Measurements of the mechanical impedance of the respiratory system in frequencies from about 5 Hz to about 70 Hz in the higher frequency range should be evaluated on the basis of the lung model. In this device, using frequencies that are often used in the field: 30, 40, 50 Hz and a timer of 3 to 5 minutes. This device uses a 12V DC motor as a vibration medium that will be connected to the engine inside the paddle. It uses IC NE 555 as an important component of the conductor circuit. This module uses an LCD screen of 16x2 characters as screen. The result was found that by using IC NE 555 as an important driver in showing acceptable system accuracy, only a minimum error value of ± 0.008% and a maximum error value of ± 0.02%. The advantage of this module is that it is equipped with a 3-5 minutes timer so that it can provide efficient therapy according to the time needed and is equipped with an LCD display to make it easier to observe the time
Design of Instrument Measurement for X-Ray Radiation with Geiger Muller Barends, Georgia Kusmiran; Utomo, Bedjo; Indrato, Tri Bowo
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 1 (2020): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i1.260

Abstract

Radiation monitoring aims to know firsthand the rate of radiation exposure in a work area to ensure the safety and health of workers who will work in the radiation emitting area in accordance with the principle of ALARA (As Low As Reasonably Achievable). This study developed a nature X-ray radiation measuring device using a Geiger Muller tube detector and can display the results of the measurement of numbers in microSievert units and Counter Per Minute to the LCD Character display and Android which have function to reduce the radiation exposure received by the radiation workers. The output of the detector is processed using Arduino Uno. Comparison of the results of the module with a calibrated standard survey meter measures the reference that the module can be used. The radiation detection system testing of this module is carried out to adjust the current condition of the Covid-19 pandemic, so that the module tests the background radiation (natural radiation). Based on module testing and experiments, it was obtained that data from 10 times data collection showed the accuracy value of the radiation measuring device using a Geiger Muller detector was 90.71% for the measurement of background radiation in a closed room. The Geiger Muller detector is not accurate for measuring small radiation exposures, the module can be used to measure background radiation and fluoroscopy X-ray radiation
Embedded Machine Learning on ESP32 for Upper-Limb Exoskeletons Based on EMG Triwiyanto, Triwiyanto; Maghfiroh, Anita Miftahul; Forra Wakidi, Levana; Dita Musvika, Syevana; Utomo, Bedjo; Sumber, Sumber; Nugraha, Priyambada Cahya; Caesarendra, Wahyu
Jurnal Teknokes Vol. 18 No. 4 (2025): Desember
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v18i4.134

Abstract

Stroke remains one of the primary causes of long-term disability worldwide and frequently results in persistent impairment of upper limb motor function. To support more effective and intensive rehabilitation, there is a need for wearable devices that can interpret muscle activity and autonomously assist limb movement without relying on an external computer. This study aims to design and implement an upper-limb rehabilitation exoskeleton that is driven by electromyography (EMG) signal classification using machine learning and by real-time elbow angle monitoring, with all models deployed directly on an ESP32 microcontroller. The proposed exoskeleton is built from lightweight, ergonomic 3D-printed components and operates in both unilateral and bilateral modes. Its main contributions include: (1) embedding real-time EMG classification models on the ESP32 so that the device can function independently, (2) integrating EMG-based motor control with elbow angle feedback from an MPU6050 inertial measurement unit, and (3) incorporating a load cell to estimate biceps force during training. EMG signals from the forearm flexor muscles are processed to extract statistical features such as variance (VAR), waveform length (WL), integrated EMG (IEMG), and root mean square (RMS). These features are used to train Random Forest, Decision Tree, Support Vector Machine (SVM), and XGBoost classifiers. The trained models are converted to C code using the micromlgen library for execution on the ESP32. System evaluation involved thirty male participants aged 20–25 years with body weights between 50–85 kg. All tested models achieved 100% accuracy in distinguishing relaxed versus grasping muscle contractions, while the correlation of elbow angles between unilateral and bilateral ESP32 systems reached 0.9469, indicating highly consistent motion detection. The Decision Tree model was selected for deployment due to its superior memory efficiency on the microcontroller. These results demonstrate that the developed ESP32-based exoskeleton provides a practical, efficient, and easily integrable solution for wearable stroke rehabilitation
Digital Marketing and Information Systems for Micro, Small, and Medium Enterprises (MSMEs) Empowerment and Sustainable Community Development in Sidoarjo, Indonesia Triwiyanto, Triwiyanto; Luthfiyah, Sari; Utomo, Bedjo
Frontiers in Community Service and Empowerment Vol. 4 No. 4 (2025): December
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i4.105

Abstract

This community service program aimed at enhancing digital marketing and information systems in Desa Balongdowo, Sidoarjo, to foster economic growth and improve access to essential services. The local economy, primarily based on seafood processing, particularly kupang products, faced limited market reach due to traditional marketing methods. Consequently, this initiative sought to empower local Micro, Small, and Medium Enterprises (MSMEs) by introducing digital marketing strategies, utilizing platforms like TikTok and e-commerce sites such as Tokopedia, Bukalapak, and Shopee. Additionally, a digital information portal was developed to centralize information regarding village activities, health services, and business opportunities. The program’s methodology included workshops and seminars on digital marketing, e-commerce, and information systems, followed by hands-on sessions for creating digital content and managing online transactions. The implementation began with training MSMEs on digital tools and website development, while also providing technical support for local entrepreneurs to establish online presences. A participatory approach was adopted, ensuring that the community was actively involved throughout the process. The results of the program were positive, with participants demonstrating significant improvements in digital marketing skills and the successful establishment of e-commerce platforms. Furthermore, the village’s information portal was launched, providing residents and outsiders with vital community updates. The program concluded with evaluations that showed increased awareness and adoption of digital tools, thereby enhancing MSME competitiveness and community welfare. In conclusion, the initiative proved effective in empowering Desa Balongdowo’s community by improving digital marketing capabilities and establishing a digital information system. Future efforts should focus on continuous training and infrastructure improvements to ensure sustainable progress
Co-Authors ., Sumber A K M Bellal Hossain A. Senthil Kumar Abdul Basit Abdul Kholiq Agistya Ananda Charisa Amrinsani, Farid Anant Athavale, Vijay Ananta, Erick Dwi Andjar Pudji Andjar Pudji Anggara Trisna Nugraha Ani Intiyati Anita Miftahul Maghfiroh Ardiansyah, Bayu Ariswati, Her Gumiwang Arum Triwerdani Asadina, Habliya Asalim T.P, M.Prastawa Assalim Tetra Putra, Moch. Prastawa Aulia Rahmawati Barends, Georgia Kusmiran Bayu Ardiansyah Candra Prastyadi Denis Kurniar Wicaksono Dita Musvika, Syevana Dwi K, Rizky Dwi S, Frendi Agung Dyah Titisari Dyah Titisari Dyah Titisari Dyah Titisari Dyah Titisari, Dyah Emre ÖZDEMĐRCĐ Endang Dian Setioningsih Endang Dian Setioningsih Era Purwanto Faheem Ahmad Reegu Farid Amrinsani Febrianti, Fani Forra Wakidi, Levana Frendi Agung Dwi Saputra Gadang Hendra Prabowo Gumiwang, Her Habliya Asadina Hamid, Imran Hamzah, Torib Hari Wisana, I Gede Dewa Her Gumiwang Ariswati Her Gumiwang Ariswati Her Gumiwang Ariswati Heru Sulistijono Hindaryani, Nurul Hossain, A K M Bellal I Dewa Gede Budi Whinangun I Dewa Gede Hari Wisana I Dewa Gede Hari Wisana I Kade Nova Paramartha Indrato, Tri Bowo Indrato, Tribowo Irvandi Isfahani, Ghina julianto, jusuf Klarnarong Wongpituk Kusumaningtyas, Yasmine Winda Lamidi , Lamidi Lamidi, Lamidi Liliek Soetjiatie Lusiana Lusiana Lusiana Luthfiyah, Sari Luthfiyah, Sari M. Prastawa Assalim T.P M. Ridha Mak'ruf M. Ridha Makruf Misra, Shubhrojit Mochammad Sofyan Mohammad Rofi'i Muhammad Ridha Mak'ruf Muhammad Roni Setiawan Nindia Rena Saputri Nugraha, Priyambada Cahya Parameswaran Parameswaran Pudji, Andjar Ragimova, Nazila Rathod, Yagnik Rofi’i, Mohammad Rosari, Angela Erti Suci Rusdi Pratiwo Hadi Sari lutfiyah Sari Luthfiyah Sari Luthfiyah Sari Luthfiyah Sedigheh Ashgari Baighout Setiawan, Muhammad Roni Setioningsih, Endang Dian Setioningsih, Endang Dian Shubhrojit Misra Sofyan, Mochammad Sugeng Iwan Setyobudi Sumber Sumber Sumber, Sumber Suprihatin, Kusmini Syaifuddin Syaifuddin Syaifudin Syaifudin Syaifudin, Syaifudin Torib Hamzah Torib Hamzah Torib Hamzah Torib Hamzah Tri Bowo Indrato Tri Bowo Indrato Triana Rahmawati Triana Rahmawati Tribowo Indrato Triwiyanto Triwiyanto Urip Mudjiono Urip Mudjiono, Urip Wahyu Caesarendra Wahyu Caesarendra Wongpituk, Klarnarong Yasmine Winda Kusumaningtyas