Articles
<![CDATA[A Digital Pressure Meter Equipped with Pressure Leak Detection ]]>
<![CDATA[Septian Nur Wahyu Erdyansyah]]>;
<![CDATA[Torib Hamzah]]>;
<![CDATA[Dyah Titisari]]>
<![CDATA[ Jurnal Teknokes Vol 14 No 2 (2021): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia ]]>
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DOI: 10.35882/teknokes.v14i2.2
<![CDATA[A manual sphygmomanometer is an instrument used to measure blood pressure, and consists of an inflatable cuff, a mercury manometer (or aneroid gauge) and an inflation ball and gauge. To assess the condition, accuracy and safety of mercury and anaeroid sphygmomanometers in use in general practice and to pilot a scheme for sphyg- momanometer maintenance within the district. Therefore, it must be calibrated periodically. Using the MPX 5050GP sensor as a positive pressure sensor. Requires a maximum pressure of 300 mmHg. This tool is also equipped with a SD Card as external storage. The display used in this module is TFT Nextion 2.8”. After conductings measurements of the three comparisons consisting of Multifunction, DPM and mercury tensimeter to 6 times, the smallest result 0 mmHg and the largest results 251.52 mmHg. While the error in mercury tensimeter’s of leak test to module and rigel is 0.56% and 0.404%.]]>
<![CDATA[Incubator Analyzer Using Bluetooth Android Display (Humidity & Air Flow) ]]>
<![CDATA[Vina Nadhirotul Azkiyak]]>;
<![CDATA[Syaifudin Syaifudin]]>;
<![CDATA[Dyah Titisari]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 2 (2019): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v1i2.5
<![CDATA[Abstract— Incubator Analyzer is a calibrator used to calibrate incubator temperature, mattress temperature, noise, humidity and airflow so that conditions in the baby incubator environment remain stable and within normal limits. The purpose of this study is to develop a system for sending data to android and data storage. "Incubator Analyzer Using Bluetooth Appear Android" has four parameters for measuring temperature, noise, humidity, and water flow. Using the Atmega328 microcontroller as a data processor, and the output results will be displayed on the LCD display and equipped with data transmission via bluetooth HC-05 displayed to Android with data storage. The moisture parameter detects humidity quite well where the biggest error is obtained at 1.28% DHT-22, the Ultrasound Sensor HC SR-04 can detect Air Flow with an error of 311.66% as measured by a comparison device. Incubator Design This analyzer is made portable to calibrate baby incubator tools.]]>
<![CDATA[Waterbath Calibrator with Nine Channels Sensor ]]>
<![CDATA[Mohammad Rofi'i]]>;
<![CDATA[Syafudin Syaifudin]]>;
<![CDATA[Dyah Titisari]]>;
<![CDATA[Bedjo Utomo]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v1i1.1
<![CDATA[Water bath is a laboratory equipment that contains water or special liquid that can maintain the temperature under certain conditions during the specified time interval. For this reason, calibration is needed so that the temperature in the chamber waterbath is stable or not. calibration is carried out by comparing measuring instruments and measuring materials to be calibrated to traceable standards that are traceable to national and / or international standards. Based on the results of the identification of the problems mentioned above, the author makes a waterbath calibrator entitled "Waterbath Calibrator (9 channel)" which is very practical, and easy to operate. .This calibration tool uses a K type thermocouple sensor and also the output is displayed to the character LCD to make it easier for users to retrieve data, the reason for choosing a thermocouple sensor is because the error rate is +/- 1,1C while the LM35 is +/- 1,4C. The thermocouple temperature sensor can detect the chamber temperature quite well where the biggest error is obtained with a comparator of 2%, and the lowest error is 0%.]]>
<![CDATA[A Centrifuge Calibrator Based on Personal Computer Equipped with Data Processor ]]>
<![CDATA[Habliya Asadina]]>;
<![CDATA[Torib Hamzah]]>;
<![CDATA[Dyah Titisari]]>;
<![CDATA[Bedjo Utomo]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i1.5
<![CDATA[Calibration is an activity to determine the conventional truth of the value of the appointment of a measuring instrument by comparing traceable standards to national and international standards for measurement and / or international units and certified reference materials. The purpose of this study is to develop a system of efficient and practical centrifuge calibrators by sending the calibration results directly via bluetooth to a PC. The main series of centrifuge calibrators are Arduino modules, laser sensors and Bluetooth.The high low signal is obtained from the reflection of the laser beam aimed at the reflector point on the centrifuge plate, processed in the Arduino module and displayed on the LCD, the calibration results can be directly seen in the Delphi program. The design of this module is also equipped with a Bluetooth transmitter to send data to a PC. This module can be used in medical equipment calibration laboratories. Based on the results of testing and data collection on the 8 Tube centrifuge with a Lutron Tachometer ratio, the error value was 0.0136%. After planning, experimenting, making modules, testing modules, and collecting data, it can be concluded that the tool "centrifuge calibrator equipped with PC-based data processors" can be used and according to planning because the fault tolerance does not exceed 10%.Keywords—Holter Monitor; Heart Monitoring; Arduino Microcontroller; SD Card Memory]]>
<![CDATA[Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation ]]>
<![CDATA[Selvi Indriani]]>;
<![CDATA[Endang Dian Setyoningsih]]>;
<![CDATA[Dyah Titisari]]>;
<![CDATA[Arif Joko Wuryanto]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i3.6
<![CDATA[Respiratory problems can cause asthma, acute asthma attacks are very difficult to predict because they often occur suddenly and asthma can also cause death in sufferers because the breath can suddenly stop. The purpose of this research is to design an asthma detection device through indicators of heart rate and oxygen saturation. The contribution of this study is to categorize the patient's condition by looking at the value of the heartbeat and oxygen saturation so that when asthma occurs the message of a location will be sent. To measure heart rate and oxygen saturation, a Nellcor finger sensor is placed on the patient's index finger. The finger sensor enters the signal conditioning circuit, then sent to the microcontroller to be processed to produce a heart rate value and the percentage of oxygen saturation. The testing of this tool is done by comparing the module with a standard measuring instrument that produces the highest value of oxygen saturation error which is 1.715% and the largest value of heart rate error is 3.548%. The results showed that the device was appropriate to use, because in the Medical Devices Testing and Calibration Guidelines of the Ministry of Health of the Republic of Indonesia in 2001, the maximum limit in oxygen saturation error tolerance was 2%, and heart rate was 5%. The results of this study can be implemented in patients who have been diagnosed with asthma so that it can facilitate the family in monitoring the patient's condition.]]>
<![CDATA[Low Cost Monitoring Kesehatan Berbasis Internet of Thing ]]>
<![CDATA[Nuril Hidayanti]]>;
<![CDATA[Dyah Titisari]]>;
<![CDATA[Her Gumiwang Ariswati]]>;
<![CDATA[Triwiyanto Triwiyanto]]>
<![CDATA[ Jurnal Teknokes Vol 13 No 2 (2020): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia ]]>
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<![CDATA[Sistem monitoring pasien di rumah sakit dilakukan secara konvensional dengan mendatangi pasien, kendalanya apabila jumlah tenaga dan fasilitas medis terbatas dengan banyaknya jumlah pasien akan membahayakan pasien yang membutuhkan prioritas penanganan. Tujuan dari penelitian ini adalah mendesain sebuah alat monitoring detak jantung, suhu tubuh, dan respirasi berbasis IOT (parameter detak jantung dan suhu tubuh) dengan tampilan pada web thingspeak dan terdapat notifikasi gmail yang dapat diakses tenaga medis. Kontribusi penelitian ini merancang alat monitoring kesehatan berbasis IOT (Internet of Thing) sehingga dapat dilakukannya pemantauan jarak jauh dengan memanfaatkan web Thingspeak sebagai tampilan hasil penelitian dan memberi notifikasi apabila terdapat nilai tidak normal. Pengambilan data dapat menghasilkan hasil yang akurat diperlukan posisi rileks dari pasien dan kestabilan jaringan wi-fi agar pemantauan tidak terhambat. Penelitian ini menggunakan Sensor suhu DS18B20 merupakan sensor digital dengan 1 jalur data yang diletakkan pada bagian aksila dan pulse sensor (SEN11574) dengan 1 jalur data yang diletakkan pada jari tangan. Hasil penelitian telah dapat dilakukan pengambilan data pada pasien 1 dengan kesalahan rata-rata alat 0,6 untuk parameter detak jantung dan 0,05 untuk parameter suhu tubuh. Pada penelitian ini telah dapat menampilkan data pada web Thingspeak dan mengirimkan notifikasi dengan baik sesuai yang diharapkan peneliti. Penelitian ini juga telah dapat diimplementasikan pada sistem alat monitoring yang sejenis untuk meningkatkan kemudahan pemantauan.]]>
<![CDATA[Nine Channels Temperature Data Logger Design for Dry Sterilizer Calibration ]]>
<![CDATA[Syaifudin Syaifudin]]>;
<![CDATA[Dyah Titisari]]>;
<![CDATA[Tanuj Kumar]]>
<![CDATA[ Jurnal Teknokes Vol 15 No 2 (2022): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia ]]>
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DOI: 10.35882/jteknokes.v15i2.243
<![CDATA[In the process of sterilizing medical devices, a sterilizer that is able to produce an accurate and even temperature is needed. If the resulting temperature is not in accordance with the regulated temperature and is not evenly distributed, it will be fatal/damage to the material sterilized. Periodic calibration should be applied to the sterilizer to monitor its function. Based on the research that has been done, no one has done research on making a temperature data logger with 9 channels to calibrate the sterilizer. This study aims to design a temperature measuring device with 9 sensors that can measure simultaneously, so that the accuracy and the distribution of the temperature of a sterlisator can be obtained. This tool used a K thermocouple-type temperature sensor which will detect the temperature and further enters the analog signal conditioning circuit. This then enters the ATMegga 2560 which has been programmed and processed in such a way, leading to the display of the temperature on the 4x20 character LCD. Temperature measurement data will be further stored to SD Card every 10 seconds in the form of a txt file. Tests were carried out on sterilizers, continued by comparison with the Madgetech OctTemp2000 data logger. Based on the measurement and comparison data, the average error was obtained at a temperature of 50ºC with the smallest error value of 0.7% and the largest error value of 3.9%. At a temperature of 100ºC, the smallest error value is 1.6% and the largest error value is 10.5%. Furthermore, at a temperature of 120ºC, the smallest error value is 0.0% and the largest error value is 8.5%. The module resulting from this research is stable in response to temperature by looking at the very small uncertainty value. This research can be further used to help analyze the temperature distribution in a sterilizer. With these measurement results, this study is considered having a fairly high error value at several measurement points.]]>
<![CDATA[Design of Wet Media Digital Thermometer Calibrator Based on ATmega328p ]]>
<![CDATA[Dyah Titisari]]>;
<![CDATA[Syaifudin Syaifudin]]>;
<![CDATA[Yoga Prabowo]]>
<![CDATA[ Jurnal Teknokes Vol 15 No 2 (2022): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia ]]>
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DOI: 10.35882/jteknokes.v15i2.249
<![CDATA[Temperature calibration is an activity that formed the relationship between values indicated by a measuring instrument or measuring system with the value - the value relating to the temperature scale that measured under certain conditions. A clinical thermometer is a device that doctors use to measure the temperature inside a patient's body. In the field of calibration, the suitability of medical device readings with the permissible standard values (tolerance values) is very necessary so that the readings are kept accurate. The purpose of this research is to make a digital wet media thermometer calibrator based on the ATmega32p to monitor the performance of the thermometer with a temperature setting of 35 °C – 40 °C in order to maintain its accuracy. The design of this calibrator consists of a wet heater circuit using a DS18B20 temperature sensor which is processed by a minimum ATmega328p system, then will be displayed on a 2x16 LCD. This tool is made to make it easier to calibrate the thermometer so that its accuracy is maintained. Thermometer calibration is done by comparing the module with a calibrated standard measuring instrument. The measurement of the instrument against the setting temperature has the smallest error of 0% and the largest of 0.25%. Meanwhile, the measurement of the instrument against a standard thermometer (which has been calibrated) has the smallest error value of 0% and the largest of -1.17%.]]>
<![CDATA[Analysis of the Effect of Red LED and Infrared Flip Flop Frequency on SpO2 Measurement Accuracy ]]>
<![CDATA[Moch Prastawa Assalim T P]]>;
<![CDATA[Dyah Titisari]]>;
<![CDATA[Wahyu Caesarendra]]>;
<![CDATA[Bagas Angger Prakoso]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): May ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i2.3
<![CDATA[Oxygen saturation is a vital parameter for the early detection of advanced oxygen deficiency. Spo2 is a tool that measures the amount of oxygen in the blood non-invasively. This equipment consists of ophotodiodeiode as a sensor as well as red and infrared LEDs with a flip flop driver circuit that has a certain frequency. In this case, several research projects and equipment on the market have various flip flop frequencies. This research aims to find the best frequency setting value for red and infrared led drivers on SpO2 devices. In this research, a SpO2 that can be adjusted with a flip flop frequency of 400 Hz to 1400 Hz was designed. The SPO2 reading from the sensor is presented on the OLED LCD panel using Arduino Mega as a data processor from the driver frequency output controller. Frequency adjustment for sensor drivers is also at 400 Hz to 1400 Hz. This tool was further used to measure the frequency variation of the flip flop. The measurement results on the subject's finger were then compared with the results of the standard SpO2 tool to see the effect of the frequency value on the level of accuracy of the tool. The results of the comparison data processing showed that the largest error of 0.35% occurred in the SPO2 measurement using the 600 Hz sensor frequency driver, and the smallest error value of 0.07%, occurred in the use of the driver frequency at 1400Hz. These results can be used in the initial design of the production of SpO2 equipment, the higher the frequency, the more accurate it will be. This study only discusses the frequency, whereas the intensity parameters of the red and infrared LEDs also vary. In future research, it would be better to involve the LED light intensity parameter to determine its effect on the accuracy of the tool.]]>
<![CDATA[Identification of Lung Cancer Using a Back Propagation Neural Network ]]>
<![CDATA[Bambang Guruh Irianto]]>;
<![CDATA[Mohamad Ridha Mak'ruf]]>;
<![CDATA[Dyah Titisari]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v16.i1.pp91-97
<![CDATA[Reading image of lung cancer screening well-known as X-ray by practitioners are sometimes subjective. This research tried to create software that can detect lung cancer as a comparison of the work of medical practitioners using artificial neural networks (ANN), with X-ray movies taken from the tool diagnostic radiography (DR) stored in the compact disc. The dependent variable observation in this study is the identification of DR X-ray image size of 1024 x 1024 pixels. A total of 10 images X-ray which has been observed by the physician radiology. With 5 images X-ray normal and 5 images lung cancer. In this study, the image processing is done through three stages: neighborhood averaging, median filter and histogram equalization. The result of these features are grouped in normal categories. From test results stating the truth 80%. To facilitate the user in the lung disease pattern recognition. GUI applications design using MATLAB. We use some form of image processing which includes form training andtesting. The best parameters obtained from this research include learning rate=0.3, the number of hidden layer=30 and tolerance error=10-8. From the results obtained by the level of accuracy of the training image of normal lung, lung cancer in a row is 80%. Overall the level of accuracy of the results is 80%.]]>
