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INDONESIA
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN : 20893272     EISSN : -     DOI : -
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the engineering of Telecommunication and Information Technology, Applied Computing & Computer, Instrumentation & Control, Electrical (Power), Electronics, and Informatics.
Arjuna Subject : -
Articles 16 Documents
Search results for , issue "Vol 11, No 4: December 2023" : 16 Documents clear
The Impact of Semantic Web and Ontology to Improve E-government Services: A Systematic Review Altahir, Badraldeen Hassan; Karrar, Abdelrahman Elsharif; Mohmmed, Shazali Siddig
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 4: December 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i4.5024

Abstract

The semantic web and ontology are extensions of the World Wide Web that aim to make data more interconnected and machine-readable.  This systematic review examined researched publications published between 2018 and 2023 and indexed in Google Scholar and Science Direct.  23 records were chosen and classified into six groups: information and retrieval, knowledge archiving, interoperability, enhancing public and employee services, barriers to ontology application, and use of ontologies to apply the regulations.  This study explored the semantic web and ontology used to enhance e-government services.  It found that improving ontology for searched and information retrieval processes could help computers retrieve accurate results, improve interoperability and integration, and provide a knowledge base for terms used in building databases and applications. However, more research is needed to effectively integrate ontology into existing systems and extend these approaches to real-world contexts.   Future research should focus on presenting an applied model of e-government technology and conducting continuous evaluations.
Efficient Dual Mode Arbitration Scheme for Multiprocessor Hardware Interface in System-on-Chip Motakabber, S. M. A.; Rokon, Mohammed Iqbalur Rahman; Alam, AHM Zahirul; Matin, Mohammad A; Mahmud, Md
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 4: December 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i4.5032

Abstract

A processor transforms human needs into hardware operations in any SoC. The single processor was ubiquitous in previous systems. But as chip size, complexity, and speed increase, several processors are used nowadays to handle concurrent operations. To manage requests from several processors, a central hardware block will conduct the arbitration among the processors and allow a processor to access the bus. This paper addresses the multiprocessor arbitration in any System on Chip or ASIC. There are several arbitration algorithms  available in the realm of technology, and any system can choose a specific arbitration to implement in hardware based on its own demands. Instead of using one type of arbitration in hardware, this research combined and used two schemes and implemented both possibilities in a hardware dual-mode arbiter system to be used in SoC. The proposed dual-mode arbiter was initially hardware modeled using Verilog HDL, then functionalities were verified using industry simulator Cadence and Modelsim, and finally synthesized and implemented using Xilinx XST EDA tool and FPGA device.   The AMBA, the industry-standard bus protocol, is being considered for the master processors and the proposed dual-mode arbiter to ensure an efficient hardware interface and to use with any off-the-shelf macro available for the high-tech industry.
Compact Dual-Frequency Slot Antenna for C-Band Applications Based on Substrate Integrate Waveguide Keriee, Hussam; Essa, Eman Hassan; Mahdi, Haider S.; Nayyef, Nawres Abbas
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 4: December 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i4.4841

Abstract

This paper provides a compact substrate-integrated waveguide-based dual-frequency H-fractal slot antenna for the C-band (SIW). From the view of fractal slot antenna, two H-fractal slot shaped elements with 3rd iteration are used to cut currents in two TE modes, which leads to dual-frequency performance and reduces the size. The antenna operating at dual frequency of 4 GHz and 5.7 GHz with gain greater than 5 dB is designed and fabricated. Measured and simulated response of the antenna are introduced as well. The responses showed that the proposed antenna achieved stable dual-frequency performance with total size of 23 × 11 mm², which may be applied for C-band communication systems. The proposed antenna was simulated, analysed, and optimized using computer simulation technology (CST) software.
Impact of Trust on The Willingness to Use E-Government Services Assegaff, Setiawan; Aryani, Lies; Sunoto, Akwan; Usmayanti, Vivi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 4: December 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i4.5200

Abstract

The primary objective of this study was to gain insight into individual perceptions of using online public services offered by local governments. The research aimed to determine how performance expectancy, effort expectancy, trust in government, facilitating conditions, and social influence impact individuals' intentions and behaviors in using online government services. Data were collected using an online questionnaire, and analysis was conducted using structural equation modeling with SmartPLS. The key findings include the positive influences of trust in government and facilitating conditions on users' intentions and behaviors related to e-government services. However, the study did not identify a significant relationship between performance expectancy, effort expectancy, and social influence concerning user intentions and behaviors in using e-government services.
Personal Assistant Development by CED (Canine Eye-disease Detection) Chun, Kyunghan
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 4: December 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i4.5177

Abstract

In this paper, we develop a deep learning-based canine eye disease detection and utilize it to create a dog health management system. With the recent surge in the number of pet dogs, ensuring their well-being has become crucial. We achieve this by applying lightweight deep learning methods like MobileNet and SqueezeNet to mobile devices, enabling regular monitoring of a pet's eye health. Additionally, we provide a GPS-based search feature for nearby hospitals, facilitating swift response to diseases. The validity of the developed method is demonstrated through experiments on 5 eye diseases. The results confirm the importance of considering appropriate recognition rates and recognizability metrics, as outcomes may vary depending on the applied deep learning approach.
Neurorehabilitation Robot-Assisted for Stroke Recovery: Hybrid Exoskeleton Assistive Limb (HEAL) Xue, Law Cheng; Mohd Noor, Anas; Zakaria, Zulkarnay; Mohd Nasir, Nashrul Fazli; Nasrul Norali, Ahmad; Nukman Khiruddin, Khalis Danial
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 4: December 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i4.5166

Abstract

Conventional rehabilitation techniques that require manual intervention and the use of devices are identified as having several drawbacks. These include limited features, fatigue for both patients and therapists during prolonged rehabilitation sessions, time-consuming procedures, high operational and maintenance costs for devices, a lack of motivation for patients, limited accessibility, and challenges in measuring or monitoring rehabilitation progress. In response to these challenges, the Hybrid Exoskeleton Assistive Limb (HEAL) is introduced as a tailored solution with distinctive features. These features include real-time electromyographic (EMG) monitoring, a therapist-friendly graphical interface, and advanced techniques in the rehabilitation process. HEAL utilizes robotics-assisted rehabilitation for repetitive, precise, and controlled movements, enhancing brain-muscle motor function, developing muscle strength, and providing a wide range of motion. The system focuses on upper limb robotic rehabilitation and consists of an EMG to read muscle responses, an Arduino microcontroller for signal processing, and a high-torque precision servo motor for controlling limb movements. HEAL emphasizes the Brain-Muscle-Computer control process rather than passive rehabilitation, which relies on external forces to move the muscles, as demonstrated by the therapist. HEAL is particularly suitable for neurorehabilitation, emphasizing recovery and improvement of function in individuals with neurological disorders or injuries, especially in stroke patients. HEAL's ability to tailor rehabilitation programs individually offers personalized rehabilitation, considering each patient's unique needs, goals, and abilities. It utilizes advanced technologies for targeted and efficient rehabilitation. The HEAL device is cost-saving with a compact design, positioning it as a promising and comprehensive solution in stroke neurorehabilitation.

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