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.
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<![CDATA[Identification of Supporting Architectural Ornaments of the Old City Semarang Site ]]>
<![CDATA[Rohman Eko Santoso]]>
<![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 ]]>
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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[Classification of Skin Cancer Diseases Using KNN, CNN and SVM Methods ]]>
<![CDATA[Mohamad Sofie]]>;
<![CDATA[Mohammad Rofi’i]]>;
<![CDATA[Bayu Wahyudi]]>
<![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 ]]>
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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[Devi Rahmayanti]]>
<![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 ]]>
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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[Harfan Diansyah]]>;
<![CDATA[Parlin Siagian]]>;
<![CDATA[Muhammad Erpandi Dalimunthe]]>
<![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 ]]>
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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[Andy Setiawan]]>;
<![CDATA[Pramesti Kusumaningtyas]]>;
<![CDATA[Bayu Wahyudi]]>
<![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 ]]>
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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.]]>
<![CDATA[Moog Type Syringe Pump Repair Aitecs 2016 Advance d Sryinge Pump ]]>
<![CDATA[Muhammad Athalla Akbar]]>;
<![CDATA[Imam Tri Harsoyo]]>;
<![CDATA[Mohammad Rofi'i]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i2.4201
<![CDATA[Syringe Pump is one of the medical equipment that functions to insert medicinal liquid into patients for a certain period of time regularly. The Syringe Pump cannot function as it should. The damage that occurs to the Syringe Pump is caused by an optocoupler sensor error that causes the optocoupler sensor to not be able to push the syringe and the syringe size sensor that does not detect the size of the syringe due to ineffective use and causes the syringe size sensor to not be able to detect the size of the syringe. Therefore, improvements are needed to the sensor part of this tool so that it can detect the syringe as it functions. The repair of this Syringe Pump is carried out by measuring using a multimeter through a specified measurement point, after the results of the calculation are known, followed by the replacement of the optocoupler sensor, then gluing the broken syringe size sensor with glue, and finally testing the function of the tool with the Infusion Device Analyzer (IDA) tool so that the Syringe Pump is successfully repaired and usable. The value obtained from the measurement after making repairs to TP 1 (optocoupler sensor input) was obtained an error of 0% TP 2 (optocoupler sensor output) of 0.5%. TP 3 (syringe size sensor output) of 0%. The tool used for the function test was IDA (Infusion Device Analyzer) and obtained an average of 9.50 ml/h at the 10 ml/h setting. So it was concluded that the tool was functioning well because it was still within the tolerance limit of 10%. And the result of occlusion was 4.7 ml/h which was still at the tolerance limit.]]>
<![CDATA[MATLAB-Based Learning of Simultaneous Linear Equation Systems ]]>
<![CDATA[Mochammad Sholikhin]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i2.4295
<![CDATA[Problems involving mathematical models are commonly found across various scientific disciplines, such as physics, chemistry, biology, economics, and engineering. These mathematical models are used to represent complex real-world phenomena in order to analyze and understand them quantitatively. However, in practice, these models often take the form of complex, nonlinear, or high-dimensional equation systems, which are not easily solved using standard analytical methods or conventional algebraic formulas. To overcome these limitations, numerical methods are employed as an alternative approach. Numerical methods provide solutions to mathematical problems by relying on computational techniques and iterative procedures. One of the key topics within numerical methods is the solution of Simultaneous Linear Equation Systems (SLES), which frequently arise in practical applications such as structural analysis, fluid dynamics, and economic modeling including structural assessment, flow dynamics, and economic forecasting. Solving these systems often requires a large number of iterative calculations, making manual computation inefficient and time-consuming. Therefore, the use of computational software such as MATLAB becomes essential in both learning and applying these methods. MATLAB provides a broad array of functions and numerical tools this significantly support an efficient and accurate solution of linear equation systems. In an educational context, the use of MATLAB not only simplifies the computational process but also aids students in understanding fundamental concepts of numerical methods through visualization, simulation, and digital experimentation. Thus, integrating MATLAB into the learning process of numerical methods greatly enhances teaching and learning effectiveness, while also strengthening students' computational skills in solving real-world scientific and engineering problems.]]>
<![CDATA[Simple Medical Waste Incinerator Design and Construction ]]>
<![CDATA[Bayu Wahyudi]]>;
<![CDATA[Muhammad Iqbal Maulana]]>;
<![CDATA[Mohammad Rofi’i]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i2.4359
<![CDATA[Medical waste management is a major concern in protecting public health and the environment. This study aims to design and test a simple medical waste incinerator controlled by a microcontroller, intended for use in small-scale healthcare facilities. The method used was research and development (R&D), involving need analysis, system design, hardware assembly, and performance testing of the components and waste combustion effectiveness. The results indicate that the system operates stably with voltage error rates below 1% and high temperature sensor accuracy. The incinerator achieved an average combustion effectiveness of 95% across four types of disposable medical waste. The tool can operate automatically based on temperature and time settings, utilizing readily available and energy-efficient electronic components. These findings suggest that the developed incinerator is suitable as an alternative solution for medical waste treatment in clinics or health centers and has potential for further development into an environmentally friendly and sustainable incineration system.]]>
<![CDATA[Decision Support System for the Verification Process of Civil Servant Promotion Proposals in the Bojonegoro Regency Government Using the Analytic Hierarchy Process (AHP) Method ]]>
<![CDATA[Resty Alfianda Zellyanawati]]>;
<![CDATA[Tanhella Zein Vitadiar]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i2.4446
<![CDATA[The advancement of information technology has significantly transformed governance practices, particularly in enhancing efficiency, transparency, and accountability in public service delivery. One of the critical aspects of civil service management is the promotion of Civil Servants (PNS), which serves as a form of recognition for performance and dedication to the state. Following regulatory changes, especially the enactment of BKN Regulation Number 4 of 2023, the promotion schedule has increased to six times a year, demanding a faster and more accurate verification process. Although the State Civil Apparatus Information Sistem (SIASN) is currently used to support administrative procedures, the verification process for promotion proposals remains manual and limited to specific administrators. Therefore, this study aims to design a Decision Support Sistem (DSS) using the Analytical Hierarchy Process (AHP) method to assist in the objective and sistematic verification of promotion proposals. AHP was chosen for its ability to incorporate both qualitative and quantitative aspects while minimizing subjective bias in decision-making. The proposed DSS considers criteria such as length of service, performance evaluation, educational background, and disciplinary history. This sistem successfully the verification process and supports more transparent and accurate decision-making within the Government of Bojonegoro Regency .]]>
<![CDATA[Implementation of Data Mining Algorithm C4.5 (Decision Tree) Product Distribution at PT.XYZ ]]>
<![CDATA[Wulan Dari]]>;
<![CDATA[Raden Aris Sugianto]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i2.4540
<![CDATA[PT. XYZ in its distribution is still carried out by using the sales and the results of sales or distribution are recorded in a ledger about how many cigarette products are sold, as well as biodata from consumers. Based on the results of recording in the field will be recapitulated again at the office by using Microsoft Excel this is very difficult in the process of data integration, manufacturing, suppliers, retailers, sales and distribution of products. One of the things that can support the efficiency of production activities is to set the layout of the production machines owned. Material handling process, space utilization, distance between departments, production process flow can be more efficient if good layout planning is done. Supply Chain Management (Supply Chain Management) is a field of study that lies in the efficiency and effectiveness of the flow of cigarettes, information, and money flows that occur simultaneously so that it can unite the Supply Chain Management with the parties involved. The results of this study are a distribution information system that can be used to record all sales transactions. In order to make it easier for the data distribution section manager to recap and know the history of cigarette distribution better and complete reporting.]]>
