cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Triwiyanto
Contact Email
triwiyanto123@gmail.com
Phone
+628155126883
Journal Mail Official
-
Editorial Address
Jurusan Teknik Elektromedik, Poltekkes Kemenkes Surabaya Jl. Pucang Jajar Timur No. 10, Surabaya
Location
Kota surabaya,
Jawa timur
INDONESIA
Jurnal TEKNOKES
Published by Polilteknik Kesehatan Kemenkes Surabaya
ISSN : -     EISSN : 24078964     DOI : https://doi.org/10.35882/teknokes
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
The TEKNOKES is a peer-reviewed periodical scientific journal aimed at publishing research results of the Journal focus areas. The Journal is published by the Department of Electromedical Engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia. The role of the Journal is to facilitate contacts between research centers and the industry. The aspiration of the Editors is to publish high-quality scientific professional papers presenting works of significant scientific teams, experienced and well-established authors as well as postgraduate students and beginning researchers. All articles are subject to anonymous review processes by at least two independent expert reviewers prior to publishing on the Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics website. This journal focuses on the development of the electronics, medical and informatics system based on intelligent and analysis system.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol 16 No 1 (2023): March" : 7 Documents clear
Diagnostic Accuracy of Ultrasonography Using U Classification of Thyroid Nodules in Detection of Malignant Thyroid Syeda Qurat Ul Ain; Sadia Bibi
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.522

Abstract

Ultrasonography (US) helps diagnose malignant thyroid nodules based on various characteristics, including echogenicity, margins, microcalcifications, size, form, and aberrant neck lymph nodes. The study aimed to determine the diagnostic accuracy of ultrasonography for cancer diagnosis in thyroid nodules, using Histopathology as the gold standard. To minimize morbidity and death from the condition and the number of solely invasive procedures biopsies, the results of our research will give patients and physicians with a noninvasive, cost-effective, and conveniently accessible diagnostic technique for differentiating cancerous from benign nodules. A cross-sectional analytical study was designed to collect data prospectively from July 2022 to October 2022 in the Department of Radiology at Nuclear Medicine, Oncology and Radiotherapy Institute Islamabad. Patients in the age range of 18-60 years, both genders were enrolled. Th data was entered into SPSS 24. The frequencies and percentages of categorical factors such as sex and malignancy in thyroid nodules were determined using descriptive analysis. For numerical variables such as age, the mean and standard deviation were computed. We evaluated the sensitivity, specificity, PPV, and NPV with a 95% confidence interval for the U-classification of malignant thyroid nodules and represented as Two by Two tables. In addition, Histopathology was used to evaluate U's efficacy as a diagnostic tool for finding malignant thyroid nodules. The study sample comprised 34 (68%) female and 16 (32%) male patients. On Biopsy, cancerous nodules were diagnosed in only 19 (38.5%) patients, and the remaining 31 (62%) had benign lesions. The prevalence of thyroid malignancy in our sample was 38%. On ultrasonography, malignancy was diagnosed in 15(30%) lesions, while the remaining 35(70%) patients were diagnosed with benign lesions. Histopathology confirmed malignant thyroid nodules in 15 (true positive) cases, whereas 6 (false positive) had no malignant lesion on Histopathology. In US negative patients, 27 were true negative, while 2 were false negative. The sensitivity of ultrasound U-score in diagnosing malignant thyroid nodules was 88.2%, specificity was 81.8%, PPV was 71.4%, and NPV was 93% Diagnostic accuracy is high when the US is used to detect thyroid problems, making it the preferred noninvasive technique. We recommend that thyroid lesions be routinely assessed clinically, imaged radiographically, and analyzed histo-pathologically. U Classification system for identifying potentially cancerous thyroid nodules is a valuable tool. It allows for a more prudent choice of nodules to undergo FNAC, reducing the number of needless procedures.
Analysis of Abdominal Respiratory Sensor Performance in Sleep Apnea Conditions Dimas Adi tya; Endro Yulianto; Sumber Sumber
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.494

Abstract

Abdominal respiratory sensor is a sensor used to detect sleep apnea that is specifically for neonates, this sensor is specifically for neonates because the use of this sensor does not require a voltage input to activate the sensor. In the absence of voltage input so as not to disturb the heart rhythm in neonates. When the sensor is no longer elastic, the pressure difference generated by the sensor will be unstable so that the sensor cannot work optimally. With these conditions, the period of use of the sensor needs to be known how durable the sensor is when it is used on patients so that the sensor can maximally detect the occurrence of apnea in neonates. How many times have you been in apnea. This study uses an Arduino microcontroller to process the pressure value and RR value generated by the stomach sensor and the MPX5010dp pressure sensor. the research method used is to use a simulator to analyze the combination of abdominal sensors and pressure sensors to monitor apnea. If viewed based on the average error, the error value in the RR 10bpm setting is ±0.185%, the RR 15 setting is ±0.245%, and the setting RR 20bpm is ±0.383%. From the average error value, it can be said that the higher the RR setting value, the higher the average error for each decrease in pressure output. it can be concluded that the performance of the use of the Abdominal Respiratory Sensor and Pressure Sensor on the Apnea Monitoring module functions well in detecting RR according to the settings on the simulator for 3-day monitoring. The development that can be done in this research is to use a more sensitive pressure sensor so that the results obtained are more stable and make the module display more attractive.
Monitoring the Occurrence of Alarms in High Flow Nasal Cannula (HNFC) Using IoT-Based Thinger.io Platform for COVID-19 Isolation Room Sapty Taurisita Fauziah; Muhammad Ridha Mak'ruf; Andjar Pudji; Levana Forra Wakidi; Faraz Masood
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i4.496

Abstract

Covid-19 has become a virus that has become a world pandemic and this virus has caused mass deaths because medical personnel have difficulty treating patients when oxygen levels in the blood have fallen to critical levels. HFNC (High Flow Nasal Cannula) is a method of administering additional oxygen to patients with acute respiratory failure. The use of HFNC in recent years has been highly recommended as a solution to provide supplemental oxygen to patients. Administration of HFNC to COVID-19 patients begins at a flow range of 30-60 LPM.Unfortunately, HFNC, which used to exist, can only be monitored manually, resulting in the transmission of HFNC-produced aerosols between patients and staff. So this study aims to analyze errors in HFNC that cause a decrease in flow to HFNC using a flow sensor as a sensor to detect leaks or other flow errors from the HFNC output hose and monitor if there is a blockage through IoT in the form of notifications.This research method uses the Pre-experimental with the After Only Design type. In this design, the researcher only used one group of subjects and only looked at the results without measuring and knowing the initial conditions, but there was already a comparison group. The independent variable in this study was the HFNC error condition. While the dependent variable in this study is the data flow read by the sensor, where IoT notifications and device status show error leaks. The sensors used in this research are MPX5700GP pressure sensors and SEN0343 Differential Pressure sensors as flow sensors. The benefit of this research is that in addition to reducing the burden on medical staff in handling Covid-19 patients, it can also minimize transmission between staff and patients caused by high aerosol production by this HFNC device, this is because HFNC device alarm monitoring can be monitored in the nurse's room via internet technology. In conclusion, to obtain maximum benefits from this research, it is necessary to select a sensor that truly has a high enough resistance to humidity produced by this HFNC humidifier's water vapor.
Temperature Distribution Monitoring on Blood Bank Chamber Using Android Application on Mobile Phone Dianti Mayasari; Syaifuddin Syaifudin; Dyah Titisari; Triwiyanto Triwiyanto
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.506

Abstract

Blood cold chain is a mandatory requirement of blood donation procedures to protect blood from bacterial contamination and to extend the shelf life of blood. Blood bank as a storage medium for blood bags requires a temperature between 2℃-6℃ on average. However, in general, blood banks only have 1 cold temperature distribution point, which is feared that the spread of cold temperatures in the compartment will be different at each point. For this reason, the researcher intended to design a blood bank temperature distribution monitoring device consisting of 7 measurement points. In this case, temperature sensor readings at each point are displayed wirelessly to smartphone devices using the Blynk platform and are also on a 3.5-inch TFT screen. The measurement data were then stored on the SD card memory so that the level of temperature fluctuations in the blood bank compartment can be analyzed during use. The module was also equipped with an alarm warning on the module and the Blynk application if the temperature is out of the normal temperature range (2℃-6℃). Before being used for measuring temperature distribution, the device made was compared with the standard Fluke DPM4 tester, in which the highest error obtained was 2.08% at T1, 1.58% at T2, -2.73% at T3, 1,61% at T4, -1.07% at T5, -0.06% at T6, and -2.32% at T7. After being compared with standard equipment, the device was used to measure the temperature spread in the Kirsch brand blood bank and the average temperature obtained was 3.56℃ at T1, 3.58℃ at T2, 3.73℃ at T3, 3.57℃ at T4, 3.67℃ at T5, 3.63℃ at T6, and 3.72℃ at T7. Based on the analysis results, the blood bank monitoring device can be used to measure the temperature spread in the blood bank compartment at 7 measurement points. Furthermore, temperature readings can be monitored wirelessly and remotely. It is hoped that this research can further help laboratory personnel at the Blood Transfusion Unit to monitor and evaluate the level of temperature spread in the blood bank compartment and prevent early damage to blood components.
Analysis of BPM and Temperature Data Retrieval in Smartband Design with Android Applications Using the Multiplexing Method Jarot Hadi Wibowo; Her Gumiwang Ariswati; I Dewa Gede Hari Wisana; Shubhrojit Misra
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.516

Abstract

Monitoring and recording of patient medical records is very necessary if there are symptoms of a disease that must be taken quickly so that the patient's condition does not worsen and find out how the pattern of a disease attacks the body's condition, this is so that the patient's history data can be checked by a doctor to make it easier and improve the accuracy of the doctor's diagnosis. In its application, the use of two sensors for smartband requires the use of a multiplexer method so that the data does not collide with each other because of the similarity of the two sensor systems. In this study, the Wemos D1 Mini microcontroller was used to process BPM and temperature data, as well as to process the time of using the multiplexer of the two sensors, then the BPM and temperature values ​​were displayed on the OLED screen. Based on the results of the research that has been done, it can be concluded that the smartband has an error (error value) which is still within the allowable tolerance limit of ±5%. This study has the advantage of a portable device design and is very suitable for daily use to monitor the patient's condition, so that patients are not disturbed by the presence of this smartband. This research has a development that is the use of a larger battery so that its use can last longer, then the use of a temperature sensor that has a medical grade standard.
Effectiveness of Green Mussel Shells as a Natural Coagulant for Domestic Wastewater Treatment Ernita Sari; Ferdian Akhmad Ferizqo; Deddy Adam
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.521

Abstract

Coagulation is one of the wastewater treatment processes. Aluminum sulfate is usually used as a chemical coagulant. On the other way, the use of alum can cause a new problem that was the inorganic residues produced are carcinogenic and can harm the environment and human health. Then people try to use natural materials such as chitosan as the coagulant. Chitosan can be produced from the skin of marine animals such as green mussels. This study aimed to determine the effectiveness of natural coagulant green mussel shells. The research method was an experimental study by testing the effectiveness of green mussel shells as a natural coagulant with one group post design. This research used small dose of chitosan that is 0,15 g/l until 0,4 g/l to know which one is the most effective to reduce turbidity and suspended solid. The sample in this study was domestic wastewater. The parameters were total suspended solids (TSS) and turbidity. The data were analyzed by the ANOVA test. The result showed that both TSS and turbidity were decreased by about 100% (14 mg/l to 0,65 mg/l) for optimum decreasing of TSS parameter and 73% (2.38 NTU to 0 NTU) for turbidity parameters. The optimal dose of natural coagulant green mussel shells for domestic wastewater was 0,4 g/l. The ANOVA test showed that there was an effect of green mussel shells coagulant dose on TSS and turbidity level (p-value = 0,000). The potential of using these green mussel shells as a coagulant is indeed very high. However, it takes a combination with other natural ingredients to make an effective and safe coagulant.
The Effect of Land Surface Temperature on Dengue Hemorrhagic Fever Incidence Riris Wahyu Maharani; Rafika Minati Devi; Diah Indriani
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.530

Abstract

Land Surface Temperature (LST) can be used to detect the occurrence of climate change. The change in LST can affect disease patterns such as Dengue Hemorrhagic Fever (DHF). The incidence of DHF in Madura from 2010-2019 showed instability. The highest DHF incidence rate in Madura occurred in 2015. This study aims to analyze the spatial and temporal effect of LST on the incidence of DHF in Madura. The analysis was carried out spatially and temporally, using multivariate regression (spatial) and Autoregression (temporal) methods with a cubic spline for LST. This study used secondary data from two institution. LST data was obtained from the MODIS NASA website, while DHF data was obtained from the East Java Provincial Health Office. LST in most sub-region, increased in 2003 and 2015, then which is in line with the incidence of dengue fever in Madura, which also increased around 2015-2016. The R2 value from the cubic spline test shows that the model used is quite good and has the same performance in all regions of Madura. The Z-value in all regions is negative, which indicates a cold area. The highest Z-value in region 1 is related to Bangkalan Regency which has more incidences of DHF in the highest category. While the lowest Z-value is found in region 3 related to Pamekasan Regency which has never been in the high category. The incidence of DHF based on LST in Madura illustrates that Bangkalan and Sumenep regencies have greater potential than Sampang and Pamekasan regencies.

Page 1 of 1 | Total Record : 7

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol 16 No 2 (2023): June Vol 16 No 1 (2023): March Vol 15 No 4 (2022): December Vol 15 No 3 (2022): September Vol 15 No 2 (2022): June Vol 15 No 1 (2022): March Vol 14 No 2 (2021): September Vol 14 No 1 (2021): April Vol 13 No 2 (2020): September Vol 13 No 1 (2020): April Vol 12 No 2 (2019): September Vol 12 No 1 (2019): April More Issue