Claim Missing Document
Check
Articles

Found 37 Documents
Search

Pengenalan Makanan Tradisional Nusantara dengan Menggunakan Convolutional Neural Network Citra Mahaputri; I Dewa Gede Hari Wisana
JUKOMPSI (Jurnal Komputer dan Sistem Informasi) Vol 1 No 1 (2022): Desember
Publisher : Teknik Komputer Fakultas Teknik Universitas Islam Kadiri (UNISKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The research with the title Introduction to Traditional Archipelago Foods using the Convolutional Neural Network (CNN) method is an early stage research. In general, this study aims to identify traditional Indonesian foods by comparing 3 CNN models, namely Resnet50,EfficenNetV2M and EfficientNet B6. The method of data collection is by manually collecting images of 20 types of traditional Indonesian food from the internet, each type of food 50 to 80 images, then developing into 20 classes based on the type of food. These images are then used as training models. The technique used is preprocessing or normalizing food image input data by cropping, wrapping. Then resize to a size of 224 x 224 and the image is converted to grayscale for the training process. This study uses a framework to facilitate the creation of deep learning programs, namely Keras Applications as one of the modules in the library that provides various deep learning models and is used to extract features from images. Data analysis was carried out using manual levers to calculate system accuracy in the detection test process. The introduction of traditional archipelago foods is the first stage of research, which will be developed to the composition of food ingredients and finally will count calories. Research on the introduction of traditional archipelago foods to the calculation of calories has not been done in previous studies
Application of the Spirometer and Oximeter Telemedicine Smartphone System in Lung Health Examination of Fish Smoking Workers in the Kenjeran Community Health Center working area Ariswati, Her Gumiwang; Hari Wisana, I Dewa Gede; Luthfiyah, Sari; utomo, bedjo
Frontiers in Community Service and Empowerment Vol. 4 No. 2 (2025): June
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i2.80

Abstract

The Community Service Program, in conjunction with the PKM scheme, is implemented through synergistic collaboration between the Surabaya Ministry of Health Polytechnic and the Surabaya City Health Service, focusing on community independence through counseling and assistance, particularly in the use of tools. Implementation of the Use of Spirometers and Oximeters Telemedicine Smart Phone System in Lung Health Examinations -Lungs of fish smoking workers in the Kenjeran Community Health Center work area. In connection with the increase in patients with cases of respiratory problems in the Kenjeran Community Health Center area, Surabaya City, as well as cases of respiratory problems in post-COVID-19 patients, which has resulted in a lack of treatment for these patients due to limited health personnel and no monitoring equipment. insufficient, so that the health service system for patients is disrupted. The use of a spirometer with a telemedicine smartphone system is expected to help people in Indonesia, especially in the Surabaya city area, to conduct early examinations independently and provide this information to medical personnel if any readings fall outside the specified parameters. This activity is an application of research following the road map (Road map Research), which has been carried out starting in 2019 to design an Apnea monitor to detect respiration rate in babies and adults using Piezoelectric sensors. Until 2024, it has been developed with a spirometer and oximeter with a telemedicine smart phone system and has been published in the journal IJEEMI, 2024, with the title Design and Development of an IoT-based Pulmonary Function and Oxygen Saturation Measurement Device (Pulmonary Function Analysis). In this activity, 21 fish smoking workers in the Kenjeran Community Health Center work area were examined using a spirometer and an oximeter smartphone telemedicine system carried out by the Team. Resulted in lung function measurements with FEV1/FVC ratio values, 86% normal and 14% restrictive
STATUS GIZI DAN KADAR GLUKOSA DARAH LANSIA DI POSYANDU ABIYOSO POLKESBAYA Juliana Christyaningsih; Luthfi Rusyadi; Imam Sarwo; Ferry Kriswandana; Sri Utami; I Dewa Gede Hari Wisana; Edy Haryanto; Minarti; Hilmi Yumni; Dwi Wahyu Wulan Sulistyowati; Irwan Sulistio; Taufiqurrahman; Isnanto; Endro Yulianto; Retno Sasongko Wati; Fitri Rokhmalia; Siti Mar'atus; Slamet Wardoyo; Liliek Soetjiatie; Yuni Ginarsih; Ira Rahayu Tiyar Sari; Ira Puspitasari
Jurnal Ilmiah Tatengkorang Vol 8 No 2 (2024): Jurnal Ilmiah Tatengkorang
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Politeknik Negeri Nusa Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54484/tkrg.v8i2.609

Abstract

Currently, the percentage of the elderly population in Indonesia has increased much higher than in previous years. As people age, their immune system decreases and they are more likely to be affected by diabetes mellitus. In Indonesia, diabetes mellitus currently ranks as the third most prevalent cause of mortality following cardiovascular disease. Diabetes mellitus is closely associated with blood glucose levels. People with high blood glucose levels have a tendency to be overweight or obese. The increasing prevalence of diabetes mellitus in the elderly, it will have an impact on hampering the development of the country. To improve the quality and life expectancy in the elderly, preventive measures are needed to increase excess glucose levels in the body. From these problems, community service activities were conducted in the form of health checks on nutritional status and blood glucose in elderly participants. The activity took place at the Abiyoso Integrated service post Polkesbaya on May 3, 2023. From the results of the examination, it was found that most of the elderly participants who participated in the activity had excess nutritional status but had normal blood glucose in the body. From this it can be concluded that high blood glucose levels in the body are not always determined by a person's nutritional status, but also lifestyle, and diet. Saat ini, presentase penduduk lanjut usia di Indonesia telah meningkat jauh lebih tinggi dari tahun-tahun sebelumnya. Seiring bertambahnya usia pada seseorang, daya tahan tubuh manusia akan semakin menurun dan cenderung menderita diabetes melitus. Di Indonesia, penyakit diabetes melitus menempati posisi ketiga sebagai pemicu kematian tertinggi setelah penyakit kardiovaskular. Penyakit diabetes melitus memiliki kaitan erat dengan kadar glukosa dalam darah. Seseorang yang memiliki kadar glukosa dara tinggi cenderung memiliki berat badan berlebih atau obesitas. Dengan semakin meningkatnya prevalensi penderita diabetes melitus pada masa lansia, akan mengakibatkan dampak terhambatnya pembangunan negara. Untuk meningkatkan kualitas dan harapan hidup pada masa lansia diperlukan tindakan pencegahan kenaikan kadar glukosa berlebih dalam tubuh. Dari permasalahan tersebut dilakukan kegiatan pengabdian masyarakat dalam bentuk pemeriksaan kesehatan status gizi dan glukosa darah pada peserta lansia. Kegiatan berlangsung di posyandu Abiyoso Polkesbaya pada tanggal 3 Mei 2023. Berdasarkan hasil pemeriksaan didapatkan bahwa sebagian besar peserta lansia yang mengikuti kegiatan memiliki status gizi berlebih tetapi memiliki glukosa darah yang normal dalam tubuh. Dari hal ini dapat disimpulkan tingginya kadar glukosa darah dalam tubuh tidak selalu ditentukan dari status gizi seseorang, melainkan juga gaya hidup, dan pola makan
ANALYSIS OF TEMPERATURE STABILITY THERMOGUN CALIBRATOR WITH FUZZY-PID CONTROL setyawanto, nanda dwi; Wisana, I Dewa Gede Hari; Setiawan, Singgih Yudha
Jurnal Teknokes Vol. 18 No. 1 (2025): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Body temperature is an important parameter in medical diagnosis. Thermogun, a non-contact temperature measuring device based on infrared technology, needs to be calibrated periodically to maintain measurement accuracy. This study aims to design a Thermogun calibrator with FUZZY-PID control that uses water as a temperature stabilizer. This system is designed to maintain temperatures in the range of 32°C to 45°C. Testing of the device was carried out using the DS18B20 sensor, as well as the Arduino Mega 2560 microcontroller as the main controller, heater plate for heating and using the Nextion LCD for its display. The test results showed that the system was able to increase the speed of temperature increase with a low level of measurement error (error). From the results of the module data analysis on the standard thermometer, the temperature error using the standard thermometer was 0% at all settings between 32°C-45°C. from the module to 3 Thermoguns using FUZZY-PID control In the experiment conducted, it was found that thermogun 3 had a good average reading of all temperatures that had been measured on the module with an error between the largest 0.625% at various temperature settings. Then on thermogun 1 & 2 had a fairly large error of up to 3.15%. From the measurement results, it can be concluded that FUZZY-PID control can be used as a temperature stability control on a thermometer calibrator. This study succeeded in achieving the desired temperature with accurate accuracy and the tool functioned properly.
Monitoring SpO2, BPM, and Temperature on Smartband with Data Sending Using IoT Android Display Mahardika, Melva; Irianto, Bambang Guruh; Wisana, I Dewa Gede Hari; Triwiyanto, Triwiyanto; Rathod, Yagnik
Jurnal Teknokes Vol. 16 No. 4 (2023): December
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

No matter if a patient is receiving care at home or in a hospital, monitoring them is an essential part of healthcare.Currently, many hospitals use a manual method to measure body temperature, oxygen saturation, and heart rate, necessitating physical visits from nurses to patients' rooms to get data. This approach, however, turns out to be less effective and time-consuming. This research aims to develop a wearable device placed on a patient's wrist is the main goal of this project. Body temperature, oxygen saturation, and heart rate are the three vital sign metrics that this gadget will be able to continuouslymonitor in real-time. Additionally, Ubidots integration will enable the device to deliver notifications based on the data gathered.The contribution of this research is the development of IoT-based wearable devices for remote monitoring, which aims to improve the quality of health service monitoring. The tool is expected to facilitate remote monitoring for medical personnel and patient families. This research method uses MAX30100 as digital sensors to monitor heart rate, oxygen saturation and MLX90614 as a sensor to detect body temperature. The results of this research can display data on the Ubidots application and send notifications to email. The results showed that the SpO2 sensor had the lowest error rate of 0.2% and the highest mistake rate of 1.6%. The error rates displayed by the BPM sensor varied, with the lowest being 0.6% and the largest being 5.68%. For body temperature measurements, the minimum error rate recorded is 0.002%, while the maximum error rate is 0.016%. This research shows that it is time to develop further into a sophisticated health monitoring tool to improve the quality of health services.
Analysis of the Accuracy of Differential Pressure Sensor in a Portable Spirometry with FVC, FEV1 and PEF Parameters Nopriyandi, Nopriyandi; Hari Wisana, I Dewa Gede; Setioningsih, Endang Dian; Rizal, Achmad
Jurnal Teknokes Vol. 17 No. 3 (2024): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Accurate measurement of lung function is essential for diagnosing and monitoring respiratory diseases such as chronic obstructive pulmonary disease (COPD), asthma, and cystic fibrosis. Traditional spirometry methods often face challenges related to accuracy and sensitivity, which can lead to misdiagnosis and inappropriate treatment. This study aims to evaluate the performance of the DF-Robot differential pressure sensor as a portable spirometry tool, focusing on key parameters including Forced Vital Capacity (FVC), Forced Expiratory Volume in 1 second (FEV1), and Peak Expiratory Flow (PEF). The research was conducted at the Surabaya Electromedical Engineering Department, utilizing a pre-experimental design with a single group. The DF-Robot sensor's output was compared against a Hans Rudolph 5530 Syringe Calibrator to determine its accuracy. Data collection involved three different tube sizes, with ten repetitions for each size using the calibrator, and five repetitions with human subjects to assess real-world applicability. Results indicated that the DF-Robot sensor demonstrated high accuracy, with the smallest tube size yielding a minimal error of 0.9%. In contrast, larger tube sizes resulted in significantly higher error rates, with the largest tube showing an error of 33%. The study concluded that the DF-Robot differential pressure sensor is a promising alternative for portable spirometry applications, providing reliable measurements of lung function parameters. The findings underscore the importance of sensor selection in spirometry, as theaccuracy of measurements directly impacts patient diagnosis and treatment. This research contributes valuable insights intothe development of portable spirometry devices, potentially enhancing the diagnostic capabilities for respiratory diseases andimproving patient outcomes in clinical practice. Future studies should explore further refinements in sensor technology andmethodologies to optimize spirometry accuracy and reliability.
Monitoring SpO2, Heart Rate, and Body Temperature on Smartband with Data Sending Use IoT Displayed on Android Anggraini, Navira; Irianto, Bambang Guruh; Wisana, I Dewa Gede Hari; Triwiyanto, Triwiyanto; Kumbhare, Ashish
Jurnal Teknokes Vol. 16 No. 4 (2023): December
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The patient's health must not deteriorate if treatment is not started right away if they show indications of a disease. Monitoring is the most important thing that needs to be done to ascertain the patient's state, especially for those with lung illness who have asthma and pneumonia with moderate symptoms. SpO2, BPM, and body temperature are vital signs that can be used as indicators of a person's degree of health. The main goal of this project was to create wearable devices index finger then a wrist-worn devices that can measure SpO2, Heart rate, and body temperature in real time, regardless of distance, and alert users' smartphones when a patient's condition is abnormal. The body temperature is measured using the MLX90614 sensor, positioned on the wrist, whereas the Oxygen saturation and Heart rate are measured with MAX30100 sensor, placed on the index finger. The ESP32 Microcontroller processes the sensor data after which the results are displayed on the TFT Display GC9A01 and to Ubidots application on a smartphone or computer. When the SpO2, BPM, and Temperature values drop below the predetermined range, Ubidots sends an alert message to the associated email address on the smartphone or computer. In comparison to BPM, which had the lowest error is 0.06% and highest at 5.65%, and temperature, which had the least error value of 0.1% and the most 0.88%, SpO2 had the lowest error is 0.2% and biggest error at 1.6%. MAX30100 sensor, which serves as a processor for SpO2 and Heart rate values on the index finger, delivers a good response when utilized by respondents, according to the smart band's manufacturer. The results of data measurement can also be shown on LCD TFTGC9A01 and Ubidots applications. This device will be kept in a hospital, clinic, or utilized on its own at home. Additionally, regardless of the distance, this application is anticipated to assist families or medical personnel in keeping track of the health of senior patients.
Using Android Technology for Early Detection of Stunting in Toddlers in Krembangan Selatan Ridha Makruf, Muhammad; Pudji, Andjar; Nugraha, Priyambada Cahya; Wisana, I Dewa Gede Hari
Frontiers in Community Service and Empowerment Vol. 4 No. 3 (2025): September
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i3.116

Abstract

Stunting is a long-term health problem that mainly impacts the growth and development of young children, particularly in residential areas like Kelurahan Krembangan Selatan, Surabaya. A significant obstacle in preventing stunting is finding a practical way to assess children's nutritional status. This community study aims to raise awareness and educate people about the use of Android-based tools for monitoring body mass index (BMI) and basal metabolic rate (BMR) as innovative methods for detecting stunting risk. The device, tested on 16 infants, enables users to submit detailed data to a web platform for further analysis. Findings reveal that this tool simplifies processes, accelerates data handling, and provides quicker access to up-to-date information, thereby reducing the burden of manual tasks. Results also show that most infants have healthy growth, although some individuals may need more time to understand the benefits. In general, this web-based solution greatly improves the precision and speed of stunting detection and could be widely adopted in areas with limited healthcare infrastructure. However, the study is limited by its small sample size and limited assessment of result length. Future research should focus on a broader population and integrating this tool into larger healthcare systems. This innovation facilitates timely and accurate monitoring of young children's health. The hope is that it will become part of regular posyandu services to help strengthen the stunting prevention program across the Puskesmas Krembangan Selatan area.
QRS Complex Detection on Heart Rate Variability Reading Using Discrete Wavelet Transform Wihantara, Arga; Wisana, I Dewa Gede Hari; Pudji, Andjar; Luthfiyah, Sari; Athavale, Vijay Anant
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 4 (2022): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i4.159

Abstract

Heart Rate Variability or heart rate in humans is used to monitor the function of the human heart. This research designed a tool to compare the results of heart rate readings using the discrete wavelet transform method to facilitate the detection of R peak. This can be obtained by evaluating and studying each decomposition result from level 1 to level 4 on Discrete Wavelet Transform processing using Haar mother wavelets. This study further used a raspberry pi 3B as the microcontroller of the data processor obtained from the ECG module. Based on the results obtained in this study, it can be concluded that in heart rate readings, level 2 decomposition details coefficient had the best value as data processing that helps the heart rate readings with an error value of 0.531% compared to HRV readings that obtained 0.005 using phantom tools and a standard deviation of 0.039. Furthermore, the advantage obtained from this tool is a good precision value in HRV and BPM readings. In reading the HRV of the respondent, it was found that each initial condition of the patient's HRV would be high due to the respondent's unstable condition. The disadvantage of this tool is a delay in running the program and no display in the form of a signal in real time.
Monitoring the Stability of Oxygen Flow Analyzer on Oxygen Station in the Hospital Rosida, Nur Khabibatul; Rahmawati, Triana; Wisana, I Dewa Gede Hari; Nosike, Maduka
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 1 (2023): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.161

Abstract

In addition to benefits, oxygen therapy also has certain dangers and side effects. Hence, oxygen therapy must be given at the proper dose by monitoring the patient regularly and adjusting the oxygen flowmeter. The accuracy of flowmeter under standard conditions is guaranteed by manufacturer. Through time and use, the precision may change and the flow accuracy given in a hospital setting may different from the original value. Related to this matter, current research was carried out aiming to conduct further research on oxygen flow analyzer which focused on discussing the accuracy and stability of the oxygen flow sensor against the gold standard. The contribution of this study is to increase the range of oxygen flowrate measurement to 15 liters per minute (LPM). Furthermore, this research used Arduino Mega, while the gas flow sensor used was legris flow sensor. The measurement results were further displayed on TFT LCD equipped with SD Card data storage. The gas flowrate was regulated using a flowmeter (GEA). Meanwhile the comparison tools used Oxygen Analyzer and 1 m3 oxygen gas cylinder. At the testing stage, the sensor reading value on the module that appeared on the TFT LCD was compared with the resultsf a comparison tool with a measurement range of 1 LPM to 15 LPM 6 times at each point. The conclusion from these results is that the calibrator module has a relative error that is still within the allowable tolerance limit of ±10%.
Co-Authors ., Sumber Achmad Rizal Amrinsani, Farid Andjar Pudji Anggraini, Navira Ariswati, Her Gumiwang Athavale, Vijay Anant Aulia Rahmawati Bambang Guruh Irianto Citra Mahaputri Des, Sima Edy Haryanto Endang Dian Setioningsih Endro Yulianto Era Purwanto Farid Amrinsani Ferry Kriswandana Firda Ryan Nur Fadhilah Furi Kristya Ginarsih, Yuni Gumiwang Ariswati, Her Hassaballah, Hayder J. Hayder J Hassaballah Her Gumiwang Ariswati Hilmi Yumni I Dewa Made Wirayuda Ichwan Syahrul Bahtiar Imam Sarwo Indrato, Tri Bowo Indriatie Ira Puspitasari Irwan Sulistio Isna Fatimatuz Zahra Isnanto Juliana Christyaningsih Kumbhare, Ashish Levana Forra Wakidi Liliek Soetjiatie Lusiana Luthfi Rusyadi Luthfiyah, Sari Luthfiyah, Sari Mahardika, Melva Melinda, Cantika MINARTI Misra, Shubhrojit Mohseena Thaseen Muhammad Fuad Nurillah Musyahadah Arum Pertiwi Nopriyandi, Nopriyandi Nosike, Maduka Nugraha, Priyambada Cahya Pandu Arsy Filonanda Pawana, I Putu Alit Priyambada C. Nugraha PRIYAMBADA CAHYA NUGRAHA Priyambada Cahya Nugraha Priyambada Cahya Nugraha Priyambada Cahya Nugraha Priyambada Cahya Nugraha Pudji, Andjar Rahmawati, Triana Rathod, Yagnik Retno Sasongko Wati Ridha Makruf, Muhammad Rizhky, Ayu Nissa Berlianri Rizki Aulia Rachman Rizki Aulia Rachman, Rizki Aulia Rokhmalia, Fitri Rosida, Nur Khabibatul Sari Luthfiyah Sari, Ira Rahayu Tiyar Sasivimon Sukaphat Setiawan, Singgih Yudha Setioningsih, Endang Dian setyawanto, nanda dwi Shofiyah Shofiyah Shofiyah Shofiyah Shubhrojit Misra Siti Fathul Jannah Siti Mar'atus Slamet Wardoyo SRI UTAMI Suhartini . Sulistyowati, Dwi Wahyu Wulan Taufiqurrahman Triana Rahmawati Triwiyanto Triwiyanto Ulil Albhi Ramadhani Utomo, Bedjo Veriko Yonanto Wihantara, Arga Zahra, Isna Fatimatuz