Journal of Engineering, Electrical and Informatics
The journal publishes original papers in the field of Engineering, Electrical and Informatics which covers the following scope: Power Engineering Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Smart Grid, Electric Traction, Electric Vehicles, Electromagnetic Compatibility, Electrical Engineering Materials(Conductors, Superconducors, Dielectrics and Magnetics), High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, Power System Protection, SCADA, Electrical Measurements Telecommunication Engineering Antenna and Wave Propagation, Modulation and Signal Processing for Telecommunication, Wireless and Mobile Communications, Information Theory and Coding, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services, Security Network, and Radio Communication. Computer Engineering Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, VLSI Design-Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security Control and Computer Systems Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems. Electronics To Study Microelectronic System, Electronic Materials (semiconductors and optics), Design and Implementation of Application Specific Integrated Circuits (ASIC), System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, Sensors Information technology Digital Signal Processing, Human-Machine Interface, Stochastic Systems, Information Theory, Intelligent Systems, IT Governance, Networking Technology, Optical Communication Technology, Next Generation Media, Robotic Instrumentation Informatics Information Search Engine, Multimedia Security, Computer Vision, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems. Data and Software engineering Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data) Biomedical Engineering Biomedical Physics, Biomedical Transducers and instrumentation, Biomedical System Design and Projects, Medical Imaging Equipment and Techniques, Telemedicine System, Biomedical Imaging and Image Processing, Biomedical Informatics and Telemedicine, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems.
Articles
84 Documents
<![CDATA[Financial Report Recording System At PT Asuransi Eka Lloyd Jaya ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 4 No. 1 (2024): February : Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v4i1.2872
<![CDATA[This research aims to design a financial report recording system at PT Asuransi Eka Lloyd Jaya. By creating a financial reporting system, it is hoped that it will make it easier for the bookkeeping department to record financial data, as well as to make reports more quickly, which are used by the insurance company as a management tool for financial activities at PT Asuransi Eka Lloyd Jaya. Likewise, the aim of the research entitled "Financial Report Recording System at PT Asuransi Eka Lloyd Jaya" is to prepare reports that are equipped with data security, namely passwords. The research results of the financial report recording system at PT Asuransi Eka Lloyd Jaya are to make it easier to record cash flows, as well as to make financial reports more quickly and efficiently. The conclusion from the results of this research is that this system can facilitate the activity of recording financial report transactions so that errors do not occur in recording, users can easily present financial reports more quickly so as to minimize recording time and recording errors, and make it easier for users to print payment reports easily. affective and efficient results so that they can support and speed up decision making.]]>
<![CDATA[Smart Office Application With IoT-Based Light Monitoring And Controlling Features ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 4 No. 2 (2024): Juni: Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v4i2.3033
<![CDATA[The activity of using office facilities such as turning on lights is usually carried out manually by human physical effort. Unbeknownst, this activity reduces the effectiveness of office users' performance and raises concerns about excessive electricity usage due to not knowing whether the lights are still on or have been turned off. Therefore, a smart office application based on the Internet of Things is needed to control the lighting conditions and monitor electricity usage. In this study, the device is developed using several sensors including Pzem-004T, RTC, LDR, and Firebase database. The research results in (1) light control can be done through an Android application utilizing the Firebase database divided into two modes: automatic and manual; (2) by utilizing serial communication from Esp32 with PZEM004T, the smartphone application can display real-time data and usage history to facilitate users in controlling and monitoring the lights; (3) light sensors (LDR) and Ultrasonic Sensors (HC_SR 04) function well to adjust the range of values as considerations for when the lights should turn on and off; (4) with PZEM004T-V3.0, the application can monitor energy usage, even up to the total cost of usage.]]>
<![CDATA[Automatic Compact Coffee Maker Using Temperature and Weight Sensors With Arduino Microcontroller ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 4 No. 2 (2024): Juni: Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v4i2.3049
<![CDATA[In carrying out the process of grounding coffee manually, some people still rely on manual tools and based solely on the help of human hands, ineffectiveness often occurs. If the coffee beans are processed manually, the process will take quite a long time or if the coffee beans are processed manually themselves, it will produce less than perfect coffee bean powder. It is difficult to regulate the level of maturity or detect the right temperature of the coffee beans to produce the right coffee taste. It also requires a roasting process to a grinding process to turn the coffee beans into coffee powder with the right taste. Based on the problems above, the aim of this research is to simplify the process of converting coffee beans into coffee powder automatically and easily. In carrying out the roasting process to the process of refining the coffee beans, you need to pay attention to three aspects, namely the hot temperature during the roasting process, and determining the weight of the coffee beans when the coffee beans are finished going through the roasting process with a capacity of 100 g. In this research, to control and monitor the temperature and weight of coffee beans using an arduino microcontroller.]]>
<![CDATA[Design and Construction of an Automatic Mosque Locking System Using Internet of Things (IoT) Technology with An-droid Smartphone Control ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 5 No. 3 (2025): October: Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v5i3.3692
<![CDATA[The continuous evolution of the Internet of Things (IoT) has significantly transformed how devices interact and exchange information, enabling automation in various fields, including facility security systems. Mosques, as community-based facilities, still rely heavily on manual locking mechanisms that are time-consuming and prone to human error or key loss. This study presents the design and implementation of an IoT-based automatic mosque locking system that can be monitored and controlled via an Android smartphone. The system architecture integrates a NodeMCU ESP8266 microcontroller as the central control unit, a relay module to activate a servo-powered door lock, and a magnetic reed sensor to identify door status. Communication between the hardware and mobile interface is established using the MQTT protocol connected through the Blynk IoT cloud platform. Experimental evaluation confirms that the system can perform remote locking and unlocking within an average latency of 1–2 seconds, depending on Wi-Fi signal strength. Furthermore, the system provides automatic status updates and notifications when the door is opened or closed. The prototype demonstrates reliable performance, energy efficiency, and ease of use for mosque administrators. In conclusion, the proposed IoT-based smart lock solution successfully enhances mosque security management and shows promising potential for wider adaptation to other public facilities requiring secure and remotely accessible control systems.]]>
<![CDATA[Identification of Supporting Architectural Ornaments of the Old City Semarang Site ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 5 No. 2 (2025): June: Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v5i2.3835
<![CDATA[The Old City of Semarang is an important part of the Semarang Old Town area, which is also designated as a Cultural Heritage Site. This area features distinctive European architecture that has adapted to the tropical climate of Semarang. This uniqueness gives the Old City buildings different characteristics and styles, depending on the period or year of construction. This study aims to explore and preserve the historical character of the Old City area by preserving supporting architectural elements, such as staircase ornaments and floor patterns. The research method uses descriptive qualitative analysis, by depicting the conditions in the field based on data obtained from observation and research. Overall, the results of this study show that the architectural elements of the supporting buildings in the Old City of Semarang reflect specific styles from different periods. In the 18th century, buildings in this area used the Rococo style. In the late 18th and early 19th centuries, Neo-Classical style was adopted. The early 19th and early 20th centuries saw the use of Neo-Renaissance style, while in the 20th century, the buildings in this area showed influences of modern architecture.]]>
<![CDATA[Computer System Implementation on Teacher Performance in Elementary Schools ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 5 No. 1 (2025): Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v5i1.3836
<![CDATA[This study analyzes the impact of computer system implementation on teacher performance in elementary schools using a qualitative approach. Data were collected through in-depth interviews with 15 teachers, participatory observation, and analysis of school policy documents. The findings indicate that computer systems enhance administrative efficiency and foster collaboration among teachers, although challenges such as technological competency gaps and limited infrastructure persist. The study identifies three main themes: time optimization, improved data accuracy, and the dynamics of technological adaptation. These findings highlight the need for ongoing training and infrastructure support to maximize the benefits of computer systems in primary education environments.]]>
<![CDATA[Classification of Skin Cancer Diseases Using KNN, CNN and SVM Methods ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 5 No. 2 (2025): June: Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v5i2.3844
<![CDATA[According to the WHO, about 2 to 3 million non-melanoma.non-melanoma skin cancers and 132,000 melanoma skin cancers occur globally every year, making up one out of every three cancers.globally each year, and account for one in every three cancers diagnosed.diagnosed. In Indonesia, skin cancer is listed as the cancer with the third highestincidence after uterine cervical and ovarian cancer, and breast cancer.Skin cancer can be detected with dermoscopy. Dermoscopy is a non-invasive diagnostic technique using optical magnification that allows visualization of morphologicHowever, this cannot be done optimally because it still relies on manual analysis so it cannot classify skin cancer types on larger datasets with potential errors and low accuracy. To accurately determine the type of skin cancer,a better classification method is needed. The purpose of this research is to determine the accuracy of skin cancer calcification using Convolutional Neural Network (CNN), support vector machine (SVM), K-nearest neighbor (KNN) models. The datasheet used amounted to 2,239 containing skin cancer images with class division 114 actinic keratosis, 376 basal cell carcinoma, 95 dermatofibroma, 438 melanoma, 357 nevus, 462 pigmented benign, 77 seborrheic keratosis, 181 squamos cell, 139 vascular lesion. The results showed that the convolutional neural network (CNN) algorithm model obtained a sensitivity of 92.59%, specificity of 99%, precision of 93%, F1-Score of 93.01%, and accuracy of 98.35%. For the KNN algorithm model, 57.77% sensitivity, 94.53% specificity, 64.25% precision, 55.99% F1-Score, and 90.45% accuracy were obtained. And for the SVM algorithm model, 61% sensitivity, 94.81% specificity, 70.23% precision, 61.26% F1-Score, and 91.17% accuracy were obtained.]]>
<![CDATA[Predicting Quality of Service on Cellular Networks Using Artificial Intelligence ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 5 No. 2 (2025): June: Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v5i2.3901
<![CDATA[The purpose of this research is to explore the application of artificial intelligence (AI) techniques, particularly Machine Learning, in predicting quality of service (QoS) on mobile networks, with the main focus being to test the ability of AI models to predict several QoS parameters, involving several important stages that reflect best practices in the development of artificial intelligence (AI)-based predictive systems for mobile networks. The dataset used in this study consists of data collected from simulations of mobile networks with various load and latency conditions. The parameters measured include Throughput, Latency and Packet Loss. Model evaluation was carried out to measure prediction performance using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) measurements. The AI models used include machine learning algorithms consisting of K-Nearest Neighbors (KNN) for classification and regression on QoS datasets, Support Vector Machine (SVM) to model non-linear relationships between QoS parameters and input variables, and Deep Learning (LSTM=Long Short-Term Memory) used to predict QoS based on time sequence data. This study found that LSTM-based deep learning models have the lowest prediction error rate in estimating packet loss, so they can provide the most accurate results in predicting QoS on mobile networks. This approach is capable of handling data that is sequential and has significant time dependence, making it more suitable for dynamic mobile network applications.]]>
<![CDATA[Analysis of the Influence of Residential Electrical Installation Errors on Prepaid Kwh Meter Errors in the PT PLN (Persero) ULP Stabat Area ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 5 No. 2 (2025): June: Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v5i2.4148
<![CDATA[There are several things that happen when customers use electricity with prepaid Kwh meters. One of the problems now is an error in the Kwh meter or commonly called Kwh tempering. This study uses an observation method by taking a sample of 2 houses that have tempering problems in their Kwh. The results of the study of the first house with 900 VA electricity power found a current leak of 0.3 A, and in the second house with 1300 VA electricity power found a grounding cable connected to the neutral cable which caused a limping load of 0.85 A.]]>
<![CDATA[Mindray Anesthesia Machine Repair Type Wato Ex-65 at Columbia Asia Special Surgery Hospital Semarang ]]>
<![CDATA[ Journal of Engineering, Electrical and Informatics Vol. 5 No. 2 (2025): June: Journal of Engineering, Electrical and Informatics ]]>
Publisher : <![CDATA[Lembaga Pengembangan Kinerja Dosen ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55606/jeei.v5i2.4165
<![CDATA[Anesthesia machines are very important medical equipment in modern medicine, especially in medical procedures and intensive care. This device is designed to provide and control the administration of anesthetic drugs and medical gases to patients safely and accurately. Damage to the oxygen regulator block of the anesthesia machine shows a discrepancy with the indicator reading. This problem is very critical because it can cause the administration of inappropriate oxygen concentrations to patients during anesthesia procedures. This activity aims to support health services at the Columbia Asia Semarang Hospital which has a damaged anesthesia machine and wants to be repaired, namely the Mindray Type Wato EX-65 anesthesia machine. Damage to the device is known by disassembling the device, by visual observation, checking for hose leaks, and measuring at certain points in the device circuit. Based on the analysis carried out, the damage is in the anesthesia machine regulator block. After repairs and functional tests using VT 305 to check the air flow, it was declared suitable for use.]]>
