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[Design and Construction of an Automatic Mosque Locking System Using Internet of Things (IoT) Technology with An-droid Smartphone Control ]]>
<![CDATA[Imam Tri Suryadin]]>
<![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 ]]>
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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[Analysis and Handling of STA 1+325 SD 1+475 Embankments in the Construction of the IKN Toll Road, Balang Island Bridge Segment – Sp. Riko ]]>
<![CDATA[Marnida Aryani]]>;
<![CDATA[Toto Mochamad Taufik]]>;
<![CDATA[Salman Alfaridzi]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.5361
<![CDATA[The construction of the IKN Toll Road on the Balang Island Bridge – Sp. Riko segment serves as a strategic infrastructure project aimed at enhancing connectivity and accelerating regional development in the Indonesian Capital City area. However, within the STA 1+325 to STA 1+475 section, complex geotechnical challenges were identified due to the subgrade’s low bearing capacity and high consolidation potential. These conditions threaten the embankment’s stability, which could affect construction quality and long-term performance. This study analyzes the subgrade characteristics, evaluates embankment stability, and proposes effective improvement methods based on geotechnical design standards. Field investigations, including sondir testing, soil laboratory analyses, and numerical simulations using PLAXIS finite element software, were conducted. The analysis involved assessing bearing capacity, consolidation settlement, and slope stability under both normal and seismic conditions. The selected improvement method—subgrade replacement with a 2.0-meter-thick material—successfully increased the safety factor to 1.715 under service conditions and 1.258 under earthquake conditions, while reducing potential settlement to acceptable limits. These results demonstrate that the replacement method effectively enhances embankment stability and ground performance. Hence, this technique is recommended as a reliable geotechnical solution for toll road and other infrastructure projects facing similar subgrade challenges.]]>
<![CDATA[Design and Development of an Automatic Asem Keping Drying System Using Infrared Heater Based on Fuzzy Logic ]]>
<![CDATA[Syahrul Ramadan]]>;
<![CDATA[Rini Puji Astutik]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.5566
<![CDATA[The drying process of Asam Keping (Garcinia atroviridis) is a crucial stage in food processing that significantly affects the final product quality. Conventional drying methods that rely on sunlight have several limitations, such as dependency on weather conditions, extended drying time, and inconsistent results. This study aims to design a drying system for Asam Keping controlled using the fuzzy logic method. The research is expected to improve energy efficiency, accelerate the drying process, and maintain the quality of the dried product. The drying system is designed using an infrared heater as the heat source, temperature and humidity sensors to monitor environmental conditions, and a microcontroller as the main controller. The fuzzy logic method is implemented to adjust the drying temperature and duration adaptively based on environmental parameters and the desired dryness level. The results of this study are expected to reduce drying time by approximately 50% compared to conventional methods. Additionally, the dried Asam Keping is expected to achieve the desired moisture content while preserving its color and texture quality. The analysis of this study concludes that an infrared heater-based drying system utilizing fuzzy logic can be an effective solution for the Asam Keping drying process in terms of time efficiency and product quality.]]>
<![CDATA[Exploring the Synergy Between Artificial Intelligence and Blockchain in Enhancing Cybersecurity Solutions ]]>
<![CDATA[Deval Gusrion]]>;
<![CDATA[Fitri Firdalius]]>;
<![CDATA[Elmi Rahmawati]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.5567
<![CDATA[This research investigates the integration of Artificial Intelligence (AI) and blockchain technologies to develop a more robust and adaptive cybersecurity framework. Amid the growing complexity and frequency of cyber threats, traditional security systems are increasingly insufficient in ensuring data integrity, threat detection, and operational transparency. The study aims to explore how the synergy between AI and blockchain can address these limitations and enhance digital security infrastructures. A qualitative exploratory approach was employed, utilizing a Systematic Literature Review (SLR) of 42 peer-reviewed articles published between 2020 and 2025. The analysis revealed three dominant integration models: AI-based anomaly detection with blockchain-secured logging, smart contracts for automated incident response, and blockchain-based identity verification enhanced by AI behavioral analysis. The proposed framework demonstrated a high detection rate (94.3%), low response latency (0.7 seconds), and improved auditability compared to state-of-the-art approaches. These findings suggest that combining AI's predictive capabilities with blockchain’s immutable and decentralized architecture offers a more comprehensive cybersecurity solution. However, challenges such as computational overhead, energy consumption, and interoperability issues remain. The study concludes that the integrated approach not only enhances resilience and transparency but also provides a scalable foundation for future cybersecurity systems, especially in critical sectors such as healthcare, finance, and government services.]]>
<![CDATA[The Phenomenon of Waterlogging Due to Poor Drainage in the Tanjung Duren Area, West Jakarta ]]>
<![CDATA[Miftahudin , Miftahudin]]>;
<![CDATA[Marsya Luna Lestari]]>;
<![CDATA[Tri Susanto]]>;
<![CDATA[Salsabila Ahadini Nurahmat]]>;
<![CDATA[Williamzu Williamzu]]>;
<![CDATA[Darmawan Listya Cahya]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.5659
<![CDATA[Tanjung Duren in West Jakarta is a dense urban area with a high level of development and activity, which has an impact on increasing waterproofing surfaces and decreasing drainage capacity. This research aims to identify the main causes of inundation, evaluate the performance of drainage systems, and formulate ap-plicable technical and non-technical solutions. A mixed-method approach was used, including field ob-servations at inundation points, technical measurements of channels, citizen perception surveys, and semi-structured interviews. The results showed that clogging by garbage, inappropriate channel cross-sections, and poor drainage connectivity were the main causes of inundation. The impact of in-undation includes mobility disruptions, economic losses, and health risks to residents. Hydrologi-cal-hydraulic analysis showed a mismatch between runoff discharge (Qin) and channel capacity (Qcap), with a ratio value of ρ ≥ 1 at some points. The proposed solutions consist of routine cleaning, increasing channel capacity, implementing infiltration wells, and strengthening community participation. Recom-mendations also include the establishment of a local taskforce and a waste management education pro-gram. This research emphasizes the importance of an integrated approach based on data and cross-sectoral collaboration in sustainable urban drainage management.]]>
<![CDATA[Development of Web-Based Retribution Payment Report Information System: A Case Study of Dorowati Market, Kebumen ]]>
<![CDATA[Priyo Prasojo, Unggul]]>;
<![CDATA[Fadjeri, Akhmad]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.5728
<![CDATA[Traditional markets remain central to community economic activity, yet many still rely on manual systems for managing retribution payments. At Dorowati Market in Kebumen, Indonesia, payment recording is conducted using paper-based control cards and receipts, leading to frequent data loss, reporting delays, and administrative inefficiencies. These challenges highlight the urgent need for a digital solution to streamline retribution management and improve service delivery. This study aims to develop a web-based information system for market retribution payment reporting to assist market officers in managing transactions, trader data, and financial reports more effectively. The research employs a Research and Development (R&D) approach using the Waterfall model, encompassing planning, modeling, construction, deployment, and maintenance stages. System modeling was conducted using Unified Modeling Language (UML) diagrams and Entity-Relationship Diagrams (ERD) to visualize user interactions and database structure. The system was successfully implemented and evaluated by 30 respondents using a four-point Likert scale. The average score was 3.76, indicating a high level of user satisfaction. The highest-rated statement This system is suitable for broader implementation in other traditional market received a score of 3.90. These results demonstrate that the system enhances operational efficiency, reduces data errors, and supports transparent retribution management.]]>
<![CDATA[Classifying Thyroid Disease through Machine Learning Ap-proach ]]>
<![CDATA[Teddy Al Fatah]]>;
<![CDATA[Mila Desi Anasanti]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.5742
<![CDATA[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.]]>
<![CDATA[Travel Website Development Project Management Using The Agile Scrum Method ]]>
<![CDATA[Endra Rahmawati]]>;
<![CDATA[Muhammad Zerq Elvonda Graha Yuda]]>;
<![CDATA[Sri Hariani Eko Wulandari]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.5758
<![CDATA[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.]]>
<![CDATA[Analysis of the Effectiveness of Material Selection for Riverside Stabilization Using the Analytical Hierarchy Process (AHP) Method: Case Study: PT. Tondano Nusajaya Mine ]]>
<![CDATA[Tiny Mananoma]]>;
<![CDATA[Randy Dandel]]>;
<![CDATA[Reinaldo Christian Rembet]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.5865
<![CDATA[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.]]>
<![CDATA[Analysis of The Existing Condition of Cibangreng Lake Lebak Regency ]]>
<![CDATA[Gemilang, Meysa Cahya]]>;
<![CDATA[Taufik, Isvan]]>;
<![CDATA[Sudrajat, Endang]]>
<![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 ]]>
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DOI: 10.55606/jeei.v5i3.6105
<![CDATA[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.]]>
