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
Classifying Thyroid Disease through Machine Learning Ap-proach
Journal of Engineering, Electrical and Informatics Vol. 5 No. 3 (2025): October: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen
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DOI: 10.55606/jeei.v5i3.5742
Thyroid illness is one of the most prevalent medical problems that has a direct impact on a person's physical and emotional well-being. The 2017–2020 NHANES data, which is extensive and contains a wide variety of 6,992 people and XX characteristics, is the source of the ML used in this study. Improving the early identification and classification of vulnerable people is the goal of this study. The machine learning techniques used in this study include K-Nearest Neighbor (KNN), Random Forest (RF), Decision Tree (DT), and Logistic Regression (LR), Extreme Gradient Boosting (EGB), LightGBM (LGBM), Multi-Layer Perceptron (MLP), and Gradient Boosting. Evaluation of these algorithms revealed that RF, EGB, and LGBM exhibited exceptional accuracy, reaching an impressive 0.90. Among them, RF demonstrated the highest precision at 0.98, showcasing its ability to correctly identify individuals at risk with a high degree of confidence. Moreover, the study identified KNN as the algorithm with the highest recall value, reaching 0.73, highlighting its effectiveness in capturing a substantial proportion of true positive cases. EGB emerged with the highest F1-Score, shows a proportionate balance between recall and accuracy. Additionally, EGB displayed the highest Area Under the Curve (AUC) at 0.82, underscoring its robust predictive capabilities. This research underscores the pivotal role of ML algorithms in predicting and classifying thyroid disease risk, offering valuable insights for early intervention and personalized healthcare strategies. The high accuracy, precision, and recall values observed with RF, EGB, and LGBM suggest their potential as powerful tools for improving diagnostic capabilities in the realm of thyroid disease, contributing to more effective and timely patient care. As advancements in machine learning continue, the integration of these techniques into healthcare frameworks holds promise for enhancing our understanding and management of thyroid disorders.
Travel Website Development Project Management Using The Agile Scrum Method
Journal of Engineering, Electrical and Informatics Vol. 5 No. 3 (2025): October: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen
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DOI: 10.55606/jeei.v5i3.5758
PT. Lentera Bangsa Benderang, which houses Binar Academy, is an educational institution that contributes to technology development in Indonesia. The company actively supports the development of digital-based technology, including a project to develop an airline ticket purchasing website for a travel client called GarudaNih. However, the company has a history of project delays of 40%. These delays occur due to a lack of backlog management, poorly managed changes in client needs, and ineffective communication between teams. Therefore, research was conducted to address the problem by offering the Agile Scrum method. In this study, effective and iterative stages were formulated in accordance with the methodology to resolve project issues on time. Furthermore, the feasibility of the method was tested as a solution to the disruption experienced by the project using Burndown Charts, Velocity, and Cycle Time. This research resulted in the application of the method to project management as an effort to overcome various problems previously faced by Binar Academy. Furthermore, the results of this study also proved that the method used had been tested for its feasibility and could be an effective solution in overcoming existing obstacles.
Analysis of the Effectiveness of Material Selection for Riverside Stabilization Using the Analytical Hierarchy Process (AHP) Method: Case Study: PT. Tondano Nusajaya Mine
Journal of Engineering, Electrical and Informatics Vol. 5 No. 3 (2025): October: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen
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DOI: 10.55606/jeei.v5i3.5865
This research aims to evaluate the effectiveness of retaining wall construction materials for riverbank slopes at PT. Tambang Tondano Nusajaya, Likupang, North Minahasa, using the Analytical Hierarchy Process (AHP) method. The analysis was conducted on three alternative materials geocell concrete, wiremesh concrete, and reinforced steel based on three criteria: structural strength, cost efficiency, and installation speed. The AHP results indicated geocell concrete as the selected material with the highest global priority score of 0,624, excelling in installation speed 0,480 and cost efficiency 0,405, while reinforced steel and wiremesh concrete obtained lower scores of 0,164 and 0,213, respectively. The findings suggest that although reinforced steel possesses high structural reliability, operational considerations regarding time acceleration and cost optimization are more dominant in this project context. Geocell Concrete is recommended as the most effective and efficient solution for riverbank retaining wall material application at the study location, with an important note regarding the necessity of further investigation concerning long-term performance and adaptation to local environmental conditions.
Analysis of The Existing Condition of Cibangreng Lake Lebak Regency
Journal of Engineering, Electrical and Informatics Vol. 5 No. 3 (2025): October: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen
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DOI: 10.55606/jeei.v5i3.6105
Lakes have strategic potential and benefits that are beneficial both ecologically and economically, including as part of a region's water management system, reservoirs, water catchment areas, inland fisheries cultivation locations, part of irrigation systems, and potential as tourist attractions. Most research on lakes in Indonesia is conducted by analyzing water quality and tourism conditions in the lake. Meanwhile, this study will discuss the analysis of existing conditions by considering the type of land use in the Situ Cibangreng area, Lebak Regency, and the analysis of indications of the Situ Cibangreng area in Lebak Regency, Banten Province, West Java. The method used in this study is qualitative analysis. During the data collection stage, the research team will explore the study area through field observations to obtain a general picture of conditions within the Situ area. The survey method is carried out using Topographic Measurement Methods, Geographic Information Systems (GIS), 3.2.2 Aerial Photography with Drones/UAVs and using Spatial Data Analysis. Based on field observations, Situ Cibangreng is located in Muaradua village, Cikulur district. There are several types of land use in this area, including: 1) built-up land use: housing and road networks; 2) use of non-built land, including mixed gardens and food crop areas (rice fields). The aerial mapping results provide a detailed picture of the existing conditions of Situ Cibangreng, including inundation boundaries, surrounding land use patterns, and indications of changes in the lake's morphology. This data serves as a crucial basis for hydro-logical analysis, lake normalization planning, and zoning of the boundary area to maintain the ecological function and sustainable capacity of Situ Cibangreng.