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INDONESIA
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Published by Polilteknik Kesehatan Kemenkes Surabaya
ISSN : -     EISSN : 26568624     DOI : https://doi.org/10.35882/ijeeemi
Core Subject : Health, Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics (IJEEEMI) publishes peer-reviewed, original research and review articles in an open-access format. Accepted articles span the full extent of the Electronics, Biomedical, and Medical Informatics. IJEEEMI seeks to be the world’s premier open-access outlet for academic research. As such, unlike traditional journals, IJEEEMI does not limit content due to page budgets or thematic significance. Rather, IJEEEMI evaluates the scientific and research methods of each article for validity and accepts articles solely on the basis of the research. Likewise, by not restricting papers to a narrow discipline, IJEEEMI facilitates the discovery of the connections between papers, whether within or between disciplines. The scope of the IJEEEMI, covers: Electronics: Intelligent Systems, Neural Networks, Machine Learning, Fuzzy Systems, Digital Signal Processing, Image Processing, Electromedical: Biomedical Signal Processing and Control, Artificial intelligence in biomedical imaging, Machine learning and Pattern Recognition in a biomedical signal, Medical Diagnostic Instrumentation, Laboratorium Instrumentation, Medical Calibrator Design. Medical Informatics: Intelligent Biomedical Informatics, Computer-aided medical decision support systems using heuristic, Educational computer-based programs pertaining to medical informatics
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 199 Documents
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Hyperparameter optimization of breast ultrasound image classification models using ant colony optimization based on texture features Fauzi, Ahmad; Lubis, Lukmanda Evan; Wandira, Raju; Musthofa, Syarto
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.266

Abstract

Breast cancer is one of the most prevalent types of cancer in humans and has the highest cumulative risk compared to other types of cancer. Accurate diagnosis and efficient intervention for this disease are very important to improve patient survival. This study aims to optimize machine learning algorithms using a limited number of features in order to produce an efficient breast cancer classification model that remains competitive with deep learning–based models. Furthermore, this study is expected to assist pathologists and doctors in the treatment of breast cancer. The dataset used in this study consists of three classes (benign, malignant, and normal) with a total of 780 breast ultrasound images from 600 patients. All images were processed and augmented to enrich data variation before modeling using five classification algorithms: Random Forest, SVM, Decision Tree, Gradient Boosting, and k-NN. Modeling was conducted in two scenarios: without optimization and with hyperparameter optimization using the Ant Colony Optimization algorithm. The results showed that the GLCM angle orientation had a relatively small effect on model performance. The best accuracy for each orientation was achieved with k-NN+ ACO (0.95 at 00), SVM+ACO (0.94 at 450), SVM+ACO (0.90 at 900), and RF+ACO (0.95 at 1350).
Topic Mining-Based Knowledge Discovery of User Health Information Needs Khoiriyah Harahap, Dayana; Ditha Tania, Ken; Eka Sevtiyuni, Putri
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.270

Abstract

Understanding the user’s need for health information has become increasingly important as the use of digital health services continues to grow. However, the unstructured data of user-generated questions presents challenges in accurately capturing and analyzing these needs. This study contributes to addressing SDG 3 (Good Health and Well-being) by utilizing topic mining-based knowledge discovery to identify the primary topics emerging from user questions submitted through the “Tanya Dokter” feature on the Alodokter platform. A total of 8,550 questions were obtained through web scraping between July 2024 and June 2025. The collected data were preprocessed and subsequently analyzed using seven topic modeling approaches: Latent Dirichlet Allocation (LDA), Correlated Topic Model (CTM), Latent Semantic Analysis (LSA), Non-negative Matrix Factorization (NMF), BERTopic, Top2Vec, and ProdLDA. To assess model performance, the coherence metric (c_v) was employed to identify the most effective method. Among these techniques, NMF achieved the best results, producing the highest coherence score of 0.67 with six well-defined topics. The findings show six primary areas of concern: pregnancy; menstruation and contraceptive management; general health and minor ailments; infant care; dermatological conditions; and musculoskeletal and other physical complaints. General health-related issues occurred most frequently, particularly during seasonal transitions, while menstruation and contraceptive management received the least attention, despite menstruation contributing to women’s health risks and the use of contraceptives helping to reduce maternal mortality in Indonesia. These findings offer valuable insights for digital health platforms like Alodokter to enhance information delivery and health literacy, ultimately improving online health services and supporting the achievement of SDG 3
CoAtNet for Chest X-Ray Report Generation with Bi-LSTM and Multi-Head Attention Akbar, Rafy Aulia; Putra, Ricky Eka; Yustanti, Wiyli
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.271

Abstract

In clinical environments, Chest X-Ray (CXR) represents the most prevalent diagnostic instrument, particularly facilitating diagnostic procedures through medical report. However, manual report preparation is time-consuming, highly dependent on the expertise of radiologists, and carries the risk of errors due to high workloads and limited expert staff. Therefore, an automated system based on artificial intelligence is needed to ease the workload of radiologists while increasing consistency. This study aims to develop an automated medical report generation system with balanced data distribution, reliable encoder, and bidirectional contextual understanding. The main contributions of this study include the implementation of an undersampling strategy based on majority captions followed by oversampling on minority labels while maintaining a proportion of labels with higher frequencies, the use of Bi-LSTM with Multi Head Attention (MHA) to strengthen text context understanding, and the use of CoAtNet as a visual encoder that combines the strengths of CNN and Transformer. The methodology incorporates image preprocessing via gamma correction for contrast improvement, data selection, balancing through combined undersampling and oversampling, and CoAtNet implementation as encoder paired with Bi-LSTM and MHA as decoder. Experimental execution employed the IU X-ray dataset, with assessment conducted using BLEU and ROUGE-L metrics. Outcomes revealed that the CoAtNet configuration with Bi-LSTM and MHA, coupled with the undersampling-oversampling strategy, delivered superior performance evidenced by a cumulative score of 1.642, with BLEU-1 to BLEU-4 and ROUGE-L achieving 0.480, 0.329, 0.245, 0.183, and 0.405, respectively. These findings prove that the combination of data balancing strategies with CoAtNet and Bi-LSTM is able to produce more accurate automated medical reports and reduce bias towards the majority label.
Validity of Electronic Device-Based Application for Visual Acuity Examination: A Systematic Review Yulianti, Natasya F.; Munawir, Al; Adji, Novan K.
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 1 (2022): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i1.134

Abstract

Recent years, advances in the internet and communication technology have enabled the proliferation of digital medical devices with innovations in the form of health applications, including for visual acuity examination. However, the validity of these applications remains unclear. The limited mobility and health service during the COVID-19 pandemic underscores the urgent need to conduct research that validates these electronic device-based applications. Thus, this study aims to critically analyze whether the electronic device-based application is able to provide a valid and high-quality visual acuity examination. A systematic review was conducted through studies search on PubMed, MEDLINE, Springer, and Cochrane Library using specific keywords. After the studies were selected through inclusion and exclusion criteria, extraction was carried out. Publications from 2011 to the end of 2021 were reviewed, yielding in 1409 studies, of which 19 were included. The results showed a lower systematic bias for distance visual acuity testing with electronic device-based applications compared to standard reference tests with a mean difference of -0.08 to 0.10 logMAR. The validity of the near visual acuity examination with the application shows better results than the distance examination which is marked by smaller 95% limits of agreement range. The results of the analysis of Bland-Altman plots in all the studies reviewed showed that the accuracy of the examination results tended to increase in patients who had better visual acuity. In practice, the use of electronic device-based applications for visual acuity examination can increase the work effectiveness of medical personnel and the proliferation of digital medical devices. It can also be one of the breakthroughs in the field of remote medical services and support the implementation of telemedicine policies.
Prayer Guide Gyroscope Bracelet for The Deaf Using MPU6050 Sensor Heriyadi, Heriyadi; Fajrin, Hanifah Rahmi; Kartika, Wisnu
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 1 (2022): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i1.135

Abstract

The majority of Indonesia's population is Muslim, including more than 13,000 people with hearing impairments. In carrying out congregational prayers, the Deaf find it difficult to follow the instructions of the Imam's movement. The presence of hearing aids cannot be used by all persons with hearing impairments, and hearing aids often cause a buzzing sound, thus disturbing concentration. Therefore, in this study, a gyroscope bracelet will be made to assist people with hearing impairments in following the instructions of the Imam's movement when carrying out congregational prayers. The bracelet worn by the Imam will send a code in the form of a change in angle to the bracelet used by the Deaf congregation. The Z angle is a vertical angle in the gyroscope where the Z angle has an angular velocity of 360 degrees per second. The control system uses Arduino nano FT232RL FTDI FT232. The communication module uses HC-12 SI4463, with a wireless frequency of 433.4 - 473.0 MHz. The sensor for detecting changes in motion is the MPU6050 gyroscope sensor, the vibration indicator uses a micro vibrator motor. The bracelet used by the deaf will read the code from the Imam's device, with a notification in the form of a different vibration on every change in prayer movement. After experimenting with 30 people, the percentage of success was 84% ​​for all prayer positions. Thus, the gyroscope bracelet tool for prayer guides for the Deaf can help the Deaf community in carrying out congregational prayers.
Design and Implementation of Portable and Prospective Embedded System and IoT Laboratory Kit Modules Madona, Era; Nasution, Anggara; Irmansyah , M.Irmansyah
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 1 (2022): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i1.136

Abstract

Laboratory practice activities are important activities for vocational education The learning process is not optimal because laboratory equipment is inadequate. The purpose of this research is to design and implement a new design of a low-cost, portable and prospective laboratory kit module. Laboratory kits are made easy to assemble, with relatively small dimensions. and suitable for use in laboratories with limited experimental space and funds. The research stages are carried out starting with needs analysis, hardware design, software design and overall testing. The test results of the DHT 11 temperature sensor can read the temperature and humidity index whose data is in the form of digital data and is displayed on the LCD. The PWM of the DC motor and the direction of rotation of the motor can be controlled using the DHT11 sensor. The keypad can control the direction of rotation of the servo motor so that students are expected to be able to provide authentication through a password with a keypad. Testing the module kit for data communication using the local network Testing the module kit for data communication using the local network is able to control the motor and relay even though there is still a delay in sending data this is due to the condition of the internet network at the time of testing. The results of the economic analysis show that the module is cheaper and portable. The overall test results work well. It is hoped that this module will encourage students to be able to create technological innovation applications based on embedded systems and IoT which will lead to the creation of technology among students.
Application of IoT using nodeMCU ESP8266 on the Syringe Pump Device to Increase Patient Safety Anjani, Annisa Gallela; Sunarto, Presillia Grisviani; Royan , Royan; Wibowo, Kusnanto Mukti; Romadhona, Gema; Sapundani, Rum; Mulyanto, Arif; Setiawan, Iwan; Jumrianto, Jumrianto; N. Prasath5, N. Prasath
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 1 (2022): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i1.137

Abstract

Nowadays, health care has turned out to be more technology-oriented. Today's technology is demanded to be practical and easy to use. Based on data, the number of uses of mobile devices based on the Android operating system has increased significantly. The open-source nature of android helps in programming applications easily according to user requirements. A syringe pump is a medical device that functions to enter the medicinal fluid into the patient's body at a certain dose and time automatically in mL/hour. The syringe pump is generally equipped with an alarm. Alarms have a vital function to provide information to nurses or doctors who are on duty. Medical officers cannot hear alarms if they are outside the patient monitoring room. This paper aims to design a syringe pump that is equipped with a NodeMCU8266 WiFi module to provide notifications via a smartphone so that nurses or doctors can know the alarm even though they are outside the patient monitoring room. So, this is expected can improve patient safety. In addition, this paper also aims to verify the size of the syringe against the drug flow rate. Based on the test results, the syringe pump can control the drug flow rate with a sensor accuracy of 0.0217 and an error rate of 0.6% at a target volume of 5mL. The syringe pump can also send alarm notifications to smartphones in real-time.
Automatic Load Detector Design to Determine the Strength of Pedestrian Bridges Using Load Cell Sensor Based on Arduino Riyanti, Kurnia Paranita Kartika; Kakaravada, Ismail; Ahmed, Abdussalam Ali
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 1 (2022): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i1.138

Abstract

The basic requirement that must be met in the construction of a bridge is the resilience. This resilience depends upon the supporting of bridge when the load that passes over the bridge. Loading condition on bridge is generally in the form of dynamic which ​​can vary according to crossing conditions on it. This reason validates in difficulties in estimation the lifetime of the bridge. In order to maintain the good condition of the bridge the estimation of overloading condition and its effects of over loading on bridge need to evaluate to keep the bridge durable for that a bridge load measuring detector is needed. The aim of this research is to design an automatic load detector to test the strength of the bridge at dynamic loading conditions. The load detector designed through an Arduino-based load cell sensor. The detector equipped with I2C LCD display mechanism which can display the load on bridge and buzzer switch with warning alarm which can alert when bridge is over loaded. The total sensor mechanism was tested on a miniature wooden bridge with selected loads. During testing, the detector load cell sensors placed at the bottom of the bridge surface with a running load, the readings are considered recorded for several load cells at dynamic loading conditions. In the research work was carried out on the bridge using various load ranges from 100 grams to 25 kilograms on load cells at various positions. From the experimentation it has been noticed that, the load cell has displayed the smaller value as compared with the actual value due to the load distribution over the bridge structure. From the experimental data it is noticed that the average error rate 4.67%, hence the developed sensor system more suitable for practical application to evaluate the damage of the bridge.
Evaluation of an Android-based Application for Monitoring the Spread of Covid-19 in Real-Time Djawad , Yasser Abd; Ridwansyah, Ridwansyah; Suhartono, Suhartono; Jaya, Hendra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 1 (2022): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i1.139

Abstract

The increase in the number of patients infected with the Covid-19 virus from day to day shows a fluctuating number. Meanwhile, the spread of the COVID-19 virus is spreading rapidly in various ways and is difficult to predict. Therefore, mapping the spread of the COVID-19 virus is needed. Currently, the existing deployment maps are offline maps which are updated one or more times a day. It does not show real-time deployment and so rapid prevention is not possible. This study aims to develop a mapping system for the spread of the COVID-19 virus in real-time. For this reason, in this study, an Android-based COVID-19 spread monitoring application was developed in real-time using the Prototype Development Model method. The application is developed with an easy user interface so that it can be well received by users. The results of the created application show that users who use this application can connect in real-time with the developed map. Furthermore, the location of users who are exposed to or suspected of being exposed to the COVID-19 virus can be displayed in real-time on the developed map. With the map of the spread of the COVID-19 virus, it is hoped that early prevention of the spread of the virus and the introduction of patterns of virus spread can be carried out.
Vital Signs Monitoring Device with BPM and SpO2 Notification to the Internet of Things Based on Telegram App Luthfiyah, Sari; Ramadhani, Elga Rahmah; Indrato, Tri Bowo; Wongjan, Anan
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 1 (2022): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i1.140

Abstract

Vital signs are an important component of monitoring the adult or child patient’s progress during hospitalization, as they allow for the prompt detection of delayed recovery or adverse events. Vital signs are measured to obtain basic indicators of a patient’s health status. The most common intervention performed in hospital medicine is a measurement of vital signs and these traditionally consist of blood pressure, temperature, pulse rate, and respiratory rate. Advanced monitoring systems incorporate a balanced combination of clinical and technological aspects to give an innovative healthcare outcome. Remote patient monitoring systems are rapidly becoming the core of healthcare deliveries. The paradigm shifted from traditional and manual recording to computer-based electronic records and further to smartphones as versatile and innovative healthcare monitoring systems. The purpose of this research is to design a Vital Sign Monitoring device for BPM and SpO2 Parameters with Notifications through the IoT-Based Telegram application. This device can monitor vital signs, especially BPM and SPO2 wherever the patient is and whenever, so that doctors or health workers, as well as patients, can find out their health condition. This display can be viewed via web thinger.io, then forwarded to telegram if an abnormal patient condition is found and there is an indicator light that will light up differently for each condition. This study uses the MAX30100 which is a digital sensor to detect oxygen saturation and heart rate. The results of this study have succeeded in displaying data on the IoT web and sending notifications to the Telegram application. And also, the resulting data has an error that does not exceed the allowable limit according to each parameter. The difference between heart rate readings and oxygen saturation values ​​on the device and patient monitor is 0.015% for heart rate and 0.01% for oxygen saturation.

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