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Contact Name
Teguh Wiyono
Contact Email
indexsasi@apji.org
Phone
+6285727710290
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indexsasi@apji.org
Editorial Address
Perum. Bumi Pucang Gading, Jl. Watu Nganten 1 No. 1-6 Desa Batursari Kec. Mranggen, Jawa Tengah
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Jawa tengah
INDONESIA
Journal of Engineering, Electrical and Informatics
ISSN : 28100557     EISSN : 28098706     DOI : https://doi.org/10.55606/jeei.v5i3
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 115 Documents
Determination of Sterilization Quality Priorities Based on Analytical Hierarchy Process in High Temperature Sterilizers Mochammad Nurudin; Muhamad Haddin
Journal of Engineering, Electrical and Informatics Vol. 6 No. 2 (2026): Juni: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v6i2.7162

Abstract

The issue of high-temperature sterilizer quality in the central sterile supply department is an important matter. This is due to the quality of sterilization, which affects the number of surgical instruments and items that become damaged and dull when sterilized. The impact is an increase in high-temperature sterilizer malfunctions. The solution is how to ensure the quality of high-temperature sterilizers. This study discusses the determination of sterilization priorities for high-temperature sterilizers with the aim of providing recommendations for usage priorities. The model is determined as a sterilizer test with inputs: temperature, time, and type, with the output in the form of a sterilizer ranking priority. Specified parameters: sterilizer specifications, temperature, sterilizer volume, and sterilization time. The research stages begin with testing conducted on 4 (four) high-temperature sterilizer units, namely Odelga ISO 9001, Tuttnauer Stera 120, MMM selection Lokal, and TRIDENT MEDICAL EA-632. The Analytical Hierarchy Process method is used to determine sterilization quality priorities in high-temperature sterilizers. The research results show that the Analytical Hierarchy Process can be used to determine sterilization quality priorities. This is evidenced by the best recommendation results from the four high-temperature sterilizer brands, which are: first place MMM selection Lokal, second ODELGA ISO 9001, third TRIDENT MEDICAL, and fourth Tuttnauer Stera 120. Three high-temperature sterilizers of the brands (Odelga, Tuttnauer, MMM) have a temperature accuracy within a tolerance of ±2°C, while TRIDENT MEDICAL shows a deviation of +4.1°C. The results indicate that accurate temperature and time, selection of the appropriate type of high-temperature sterilizer, and AHP-based evaluation are effective in determining the priority scale of high-temperature sterilizers to ensure patient safety in hospitals.
Rice Maturity Level Segmentation in Paddy Fields Based on UAV Aerial Imagery Using the YOLOv8 Algorithm Ma'ruf, Amin; Fadjeri, Akhmad
Journal of Engineering, Electrical and Informatics Vol. 6 No. 2 (2026): Juni: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v6i2.7207

Abstract

Accurate identification of rice maturity is an important factor in determining the optimal harvest period and maintaining grain quality. Conventional field observations are often influenced by subjective judg-ment and may produce inconsistent results across different observers. This study proposes an auto-mated approach for rice maturity segmentation by integrating Unmanned Aerial Vehicle (UAV) imagery with the YOLOv8 deep-learning model. A dataset consisting of 682 aerial images was collected from paddy fields and categorized into three classes: unripe, ripe, and unhealthy rice. The images were an-notated using bounding boxes and divided into training, validation, and testing subsets. Model training was performed using YOLOv8n for 100 epochs with a batch size of 16. Performance evaluation em-ployed accuracy, precision, recall, and F1-score metrics derived from the confusion matrix. Experimental results showed that the proposed framework achieved an accuracy of up to 93%, demonstrating its capability to identify rice maturity conditions effectively. The findings suggest that UAV-based moni-toring combined with deep learning can support precision agriculture by providing a faster, more ob-jective, and scalable alternative to manual field assessment.
Analysis of Digital Image Quality Between Conventional Design Outputs and Generative Artificial Intelligence Images Using Digital Image Processing Methods Ramawan, Danang Prisma; Fadjeri, Akhmad
Journal of Engineering, Electrical and Informatics Vol. 6 No. 2 (2026): Juni: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v6i2.7209

Abstract

Recent developments in Artificial Intelligence (AI) have introduced innovative approaches to digital image production, enabling automated image generation from text-based instructions. The increasing adoption of AI image generation tools has created a need for objective methods to evaluate the quality of their outputs in comparison with images produced through conventional design techniques. This research investigates the visual quality differences between AI-generated images and images created using traditional graphic design software. An experimental quantitative method was applied by analyzing image pairs that shared identical resolutions and file formats. Image quality evaluation was performed using the Mean Squared Error (MSE) metric, which quantifies pixel-level discrepancies between two images. The experimental results demonstrate that MSE can effectively identify variations in image characteristics and similarity. Lower MSE values indicate a closer correspondence between compared images, whereas higher values reflect more substantial deviations in pixel composition. The findings highlight the applicability of MSE as a quantitative tool for image quality assessment and provide additional insight into the performance of AI-based image generation technologies within digital image processing applications.
Design and Simulation of an Automatic Temperature-Based Air Conditioner Control System Using ATmega16 Aldrin Julianda Putra; Dwi Titi Maesaroh; Didi Susilo Budi Utomo
Journal of Engineering, Electrical and Informatics Vol. 6 No. 2 (2026): Juni: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v6i2.6906

Abstract

Technology is developing rapidly, especially in the field of electronics. One of its applications is a microcontroller-based automatic control system to improve efficiency and comfort in room temperature regulation. This study aims to design and simulate an automatic air conditioning control system based on temperature using the ATmega16 microcontroller. The LM35 sensor is used to measure room temperature, and the data is processed by the ATmega16 through its internal ADC feature. The measured temperature is displayed on a 16x2 LCD, and the system activates or deactivates the AC through a relay circuit according to predefined temperature thresholds. The research method includes circuit design using Proteus and programming with Microchip Studio. Based on simulation results, the system can accurately read temperature values and control the AC automatically according to the set conditions. These results indicate that the designed system works properly and has potential as a microcontroller-based automatic air conditioning control solution.
Design and Implementation of a Light Intensity Monitoring System Using an LDR Sensor Based on Arduino Muhammad Agil Ibrahim; Ansar Rizal; Didi Susilo Budi Utomo
Journal of Engineering, Electrical and Informatics Vol. 6 No. 2 (2026): Juni: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v6i2.7024

Abstract

This study presents the design and implementation of a light intensity monitoring system based on Arduino using a Light Dependent Resistor (LDR) sensor. The proposed system is capable of measuring light intensity in real-time, displaying the measured values on an I2C-based LCD, and providing an audible alert through a buzzer when the detected light level falls below a predefined threshold. The methodology involves both hardware and software design, followed by system testing through simulation and real-world implementation. The LDR sensor is configured using a voltage divider circuit to convert variations in light intensity into analog voltage signals, which are then processed by the Arduino microcontroller. Experimental results indicate that the system can effectively classify light conditions into three categories: bright, moderate, and dark, with approximate values of 200, 150, and 50, respectively. Furthermore, the system demonstrates reliable performance by activating the buzzer automatically under low-light conditions. Therefore, the proposed system provides a simple, cost-effective, and efficient solution for real-time light intensity monitoring.

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