Jurnal Teknokes

Journal Information
EISSN: 24078964
Total articles ≅ 79

Latest articles in this journal

Rusdi Pratiwo Hadi, Her Gumiwang Ariswati, Dyah Titisari, Syaifudin Syaifudin, Sari Luthfiyah, , Liliek Soetjiatie
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 230–235-230–235; https://doi.org/10.35882/teknokes.v15i4.472

Abstract:
The ventilator is a supporter of respiratory needs which is very important for the patient so that there are several parameters that must be monitored specifically, such as the measurement of pressure and flow rate used in the ventilator system, the accuracy of which must be in accordance with the accuracy of the respirator. One of the important parameters to monitor is PIF (Peak Inspiratory Flow) which is the peak inspiratory flow rate given through the ventilator. PIF that is too high or too low can cause adverse effects on the patient. PIF monitoring can be seen through the PIF value and waveform on the PIF. Monitoring the waveform of the PIF will be very useful to improve the results of using the ventilator. The purpose of this research is to get the accuracy and precision of the sensor to display the waveform of the ventilator output. The procedure carried out is to use the F1031V sensor to detect the flow generated by the ventilator and then detect the PIF value and PIF waveform. From this research, the measurement of accuracy and precision of the F1031V sensor to detect PIF and generate a waveform graph is said to be good. This is because the highest error value is ±2.04% at the 20 LPM setting. While the value of the largest standard deviation at the 30 LPM setting is 1.517 and the greatest uncertainty value at the 30 LPM setting is 0.061. Then, the largest correction value is found in the setting of 20 LPM and 30 LPM, namely 0.4. PIF monitoring is carried out to maximize patient care and reduce the breakdown time on the ventilator.
Hasmah Hasmah, Risnawaty Alyah, Usman Umar
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 189–194-189–194; https://doi.org/10.35882/teknokes.v15i4.450

Abstract:
Mercury is also called “air raksa” or hydrargyrum which is a chemical element with the symbol Hg and belongs to the heavy metal group with a liquid form and silvery color. Mercury is a heavy metal that is harmful to the skin when added to cosmetics, especially creams on the face, even in small concentrations because it is toxic. Identification of Mercury in the laboratory using the thin layer chromatography method with the help of ultra violet light causes medical personnel to be vulnerable to exposure to ultra violet rays which have a negative impact on eye and skin health. The purpose of this research is to design a safety to minimize exposure to ultra violet rays when identify mercury. OV76070 which can reduce direct contact with ultra violet light identifies the present of Mercury in the whitening cream will be carried out using a thin layer chromatography separation method with the help ultra violet 254nm-366nm. With the help of ultra violet lamps 254nm-366nm, and it is hoped that Mercury inspection using the OV7670 camera will be more efficient and accurate. The tool used in this research is the OV7670 camera with a power of 640 – 460 pixels (VGA) to take photo on thin layer chromatography plate, ultra violet lamps 254nm- 366nm. Overall the design of this tool is controlled by the Arduino Uno microcontroller. Image from the OV7670 camera can be monitored at the Liquid Crystal Display in the form of the appearance fluorescence spot indicating the presence of Mercury in the whitening cream sample.
Fitriyana Jayanti, , Triana Rahmawati,
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 236–241-236–241; https://doi.org/10.35882/teknokes.v15i4.479

Abstract:
Respiratory rate is a fundamental vital sign that is sensitive to different pathological conditions including heart, lung, emotional stress, the influence of body temperature and activity fatigue. The respiratory rate in humans is measured by counting the number of breaths for one minute by monitoring and counting the number of times the chest rises and falls during the inhale and exhale process. Various methods for measuring respiratory rate that are commonly used including pneumograph, impedance and capnography are applied in patient monitoring. This study aims to examine and analyze the application of the kalman filter on the output of the gyro accelerometer sensor to increase the results of the detection of respiratory rates using the gyro accelerometer sensor. This study test was carried out using a patient simulator in Surabaya Ministry of Health Polytechnic nursing laboratory. This simulator patient can simulate respiration with a mechanical work system up and down the chest and abdomen, uses an Arduino Nano microcontroller to filter the output of the gyro accelerometer sensor and the results will be compared before and after the filter. The independent variable in this study is the respiration value, while the dependent variable is the sensor output before being filtered. In the relaxed condition of the respondent The most effective use of the kalman filter is found in the parameters R = 10, Q = 0.1 because in the use of these parameters, the value after being filtered has a value that tends to be stable. The highest error value in the application of the gyro accelerometer sensor occurs at sensor position 1 with R = 1 Q = 10 value of 2,6%. This study shows the effect of differences in respiration values before and after using a kalman filter. This study has limited differences in values that are far between the pre filter and after being filtered in several data collections.
Usman Umar, Risnawaty Alyah, Mustapa Mustapa
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 181–188-181–188; https://doi.org/10.35882/teknokes.v15i4.444

Abstract:
Measuring blood sugar levels today still use invasive techniques that are painful so non-invasive monitoring is needed. This study aims to develop a non-invasive technique to identify and detect blood glucose through hand-skin image processing. This development method is by taking invasive blood glucose hand images and 30 participants aged 20-60 years, data analysis is done by image preprocessing, determining the Gray level co-occurrence matrix (GLCM) value, using the backpropagation algorithm to conduct training and data testing. to define a blood glucose monitoring model. The blood glucose detection model is implemented through the android operating system on smartphones by developing the GULAABLE application on smartphones which is simple and easy to use and without blood sampling. This GULAABLE application is to determine the condition of low or high blood glucose and can be used routinely at a low cost. Validating the results by identifying this non-invasive application compared with the results of invasive glucose measurements by applying to 10 participants, the identification results show an accuracy of 80%, so it can be concluded that the GULAABLE application method on smartphones can be used to monitor blood glucose conditions at any time by simply taking hand skin image.
Kartika Aryadiny, Nur Hasanah Ahniar,
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 252–261-252–261; https://doi.org/10.35882/teknokes.v15i4.486

Abstract:
Research conducted by Muhaji, Bedjo Santoso, Putrono on the comparison of the effectiveness of two levels of suction pressure on oxygen saturation in endotracheal tube patients. The findings show that there is a significant effect of negative pressure on oxygen saturation. So that the use of the pressure value must be ensured that it is appropriate so as not to injure the patient. The accuracy and accuracy of the pressure value can be ensured by calibrating the suction pump with a calibrator, namely Digital Pressure Meter. From this case, a digital pressure meter module was created with an application. This tool serves to read the pressure value on the suction pump in real time. This tool was created with the aim of measuring negative pressure on a suction pump which is equipped with an application for inputting and storing measurement data based on the MIT App Inventor to make it easier for users to input tool identity and calibration results. To get results that are in accordance with the purpose of writing, using the study method to the library, the preparation stage, the design stage includes making software and hardware, then testing and measuring. Negative pressure measurement testing uses a Suction Pump as a measurement sample and uses 2 comparison tools, namely DPM4 and Manometer. Negative pressure testing was carried out 10 times at each measurement point, namely -10.6, -20, -30 kPa and -80, -150, -225 mmHg. After the measurements were taken, it was concluded that the module test compared to DPM4 obtained an accuracy of 99.09%, while the module test compared to the Manometer obtained an accuracy of 98.85%. Pressure measurement compared to DPM4 has 0.24% higher accuracy than pressure measurement developed with Manometer. This module is designed to be used for power calibration specifically for Suction Pump equipment. To make it easier to use the TFT nexion LCD.
Yusuf Sarkingobir, Asiya Gidado Yabo, Safina Abdullahi Yarima, Yusuf Yahaya Miya, Ibrahin Friday Sule, Nabil Riskuwa Bello, Abubakar Shehu
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 242–251-242–251; https://doi.org/10.35882/teknokes.v15i4.348

Abstract:
Biomedical waste management is a serious issue to health and environment that must be addressed at primary health care level, especially in Bauchi local government area of Bauchi state. The objectives of this study were to assess on the knowledge, methods and problems of biomedical waste management among the primary health care workers in some selected Health Care Centers of Bauchi L.G.A. of Bauchi state. A cross sectional study was employed and sampling techniques were used to distribute a questionnaire and interview among the health workers at twenty (20) selected primary health centers with (200) sample respondents from public and private health care centers. The result from the current study shows that the knowledge of biomedical waste management awareness among the workers was represented (94%), and only (6%) were not aware. The majority of PHC workers practiced open dumping and burning method (74%), incineration (7%), chemical treatment and only 1% for autoclave methods. while, microwaving (0%), encapsulation (0%) and sanitary landfill methods (0%) were not practiced. The problems of biomedical waste management included improper planning (33%), insufficient funds (25%), lack of material (19%) and (15%) lack of staffs training. There was improper segregation, lack of planning, lack of funds and practiced open dumping and burning, which is against the biomedical Waste (Management and Handling) Rules of 2016. There was improper biomedical waste management at primary health care level in Bauchi local government of Bauchi state. Thus, the Bauchi government should give more consideration towards good plan, allocation resources, set a committee of adequate supervision, monitoring and evaluation for the sustainable biomedical waste management at Bauchi local government of Bauchi state. .
Dewi Rushalina, I Dewa Gede Hari Wisana, Priyambada Cahya Nugraha, Nazila Ragimova
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 216–222-216–222; https://doi.org/10.35882/teknokes.v15i4.469

Abstract:
Cardiovascular disease is one of the leading causes of death worldwide. One of the reasons for the large number of deaths from heart disease is the lack of regular cardiac monitoring. Electrocardiograph (ECG) is a method of monitoring heart conditions. There are still many ECG examinations in hospitals that are carried out directly in certain places and the results can only be seen at that time. Meanwhile, when negligence or carelessness occurs, it can endanger the patient due to delays in handling. One of the efforts that can be made to improve service to heart patients is by having ECG monitoring based on IoT (Internet of things). The purpose of this study is to analyze the ECG signals sent and received by IoT media so that they are useful for the diagnostic process. The contribution of this research is to know the shape of the ECG signal that is sent and received through IoT media. The procedure to achieve this goal is with the AD8232 sensor whose output will be processed through the microcontroller and displayed on computer and smartphones via IoT. From this research, the results obtained that the average value of lost data at BPM 60 and BPM 120 is quite good, namely 21.26% and 24.44%.hile the average time delay value at BPM 60 and BPM 120 is also quite good, namely 0.023 s and 0.03 s. So, it can be concluded that the sending of IoT-based ECG signals affects the form of signals sent and received. The results of this study are expected to be developed in further research with development in the form of adding leads or adding BPM parameters.
Ega Elfira, , Dien Rahmawati
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 197–205-197–205; https://doi.org/10.35882/teknokes.v15i4.458

Abstract:
Breast cancer is one of the main causes of death in women and ranks first in cancer cases in Indonesia. Therefore, an early detection and prevention of breast cancer is necessary, one of which is through mammography procedures. A machine learning classifier such as Support Vector Machines (SVM) could be used as an aid to the doctors and radiologist in diagnosing breast cancer from the mammogram images. The aim of this paper is to compare two feature extraction methods used in SVM, namely the Gray Level Co-Occurrence Matrix (GLCM) and first order with two kernels for each method, namely Gaussian and Polynomial. Classification using SVM method is carried out by testing several parameters such as the value of C, gamma, degree and varying the pixel spacing values ​​in GLCM, which usually in previous studies only used the default pixel spacing. The dataset consists of 500 mammogram images containing 250 benign and malignant images, respectively. This study is expected to find out the best method with the highest accuracy between these two texture feature extractions and and able to distinguish between benign and malignant classes correctly. The result achieved that Gray Level Co-Occurrence Matrix (GLCM) feature extraction method with both Gaussian and Polynomial kernel yields the best performance with an accuracy of 89%.
Boy Pribowo, Andjar Pudji, Muhammad Ridha Mak’Ruf,
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 262-268; https://doi.org/10.35882/teknokes.v15i4.489

Abstract:
FHR is the fetal heart rate from bpm recording detected by doppler, FHR monitoring is very important to monitor fetal health to avoid fetal distress or fetal death, FHR provides more in-depth information about how the baby is doing compared to traditional monitoring of the baby. IoT media is a medium for monitoring remote sensor values ​​using internet connections, but there are several obstacles, namely there are doubts about the data displayed by IoT media, namely the risk of missing or unsent data, this will be very dangerous if the data that is should be monitored by doctors as a reference for medical diagnosis and treatment is lost or not displayed on the IoT, because if there is missing data it will cause inaccurate diagnosis or health treatment decisions by doctors. The aim of this study to analyze the effect of lost data on the formation of the Fetal Heart Rate graph on the IoT platform as a medium for remote diagnosis. In addition, FHR data can be saved for further diagnosis by a doctor if needed. This study uses an ESP32 microcontroller which will also be used to send data to IoT (Thinger.io). The independent variable used in this study is FHR data before it is uploaded to the IoT, and the dependent variable is FHR data when it is uploaded to the IoT. The greatest data loss is at the farthest distance of 30 meters with a value of 62.47%. Based on the research that has been done, this study has the advantage that the results obtained from Doppler are close to the BPM value in humans. And also this research has developments that can be done in the future such as adding storage to the website that is used for monitoring, and placing the right position on Doppler so that the results are more stable.
Indira Ayuni Sri Pramasti, Ayu Puspitasari, Lully Hanni Endarini, Christ Kartika Rahayuningsih
Published: 8 December 2022
Journal: Jurnal Teknokes
Jurnal Teknokes, Volume 15, pp 269-276; https://doi.org/10.35882/teknokes.v15i4.504

Abstract:
Motor vehicles emit exhaust gas emissions that produce pollutants, one of the compounds contained is carbon monoxide (CO). CO may cause intoxication in humans if exposed for a long time especially street vendors because the work area is filled with vehicle fumes containing CO gas. High CO levels in the air indicate HbCO levels to increase. The increased of HbCO levels will cause abnormal hemoglobin levels and induce vasoconstriction which makes blood pressure increase. The purpose of this study was to prove the correlation between CO levels in the air with HbCO, hemoglobin, and blood pressure levels to street vendors in the Gading Fajar Sidoarjo Street Vendor Area. This research uses the Conway diffusion cell method and is an analytic observational study with a cross sectional design implemented at the Surabaya Health Laboratory Center and the Hematology Laboratory of Medical Laboratory Technology Department Poltekkes Kemenkes Surabaya in March 2022. Blood tests was carried out on 25 street vendors using random sampling technique. The results showed that average air CO level was 11.0 ppm and 13.3 ppm; mean HbCO levels 0.87%; mean hemoglobin levels 14.4 g/dL; mean systolic blood pressure levels 128 mmHg; and the mean of diastolic blood pressure levels 80 mmHg. The data were analyzed using SPSS. The outcome of normality test showed that the data was not normally distributed. Statistical tests was performed using Spearman correlation. The conclusion showed there was correlation between air CO level with HbCO level, hemoglobin level, and blood pressure level on street vendors in the Gading Fajar Sidoarjo Street Vendor Area. If CO levels in the air increase, then HbCO levels and blood pressure also increase. Street vendors are expected to always use Personal Protective Equipment (PPE) such as mouth masks when working to reduce the risk of exposure to CO gas and doing a healthy lifestyle as a preventive effort to avoid health problems.
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