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INDONESIA
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Published by IAES Indonesia Section and Partners
ISSN : 20893272     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
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 19 Documents
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Search results for , issue "Vol 13, No 1: March 2025" : 19 Documents clear
Leveraging Gradient based Optimization based Unequal Clustering Algorithm for Hotspot Problem in Wireless Sensor Networks Arockiam, Jenita Mary; Panhalkar, Archana R.; Bhosale, Rajkumar Shankarrao; Kavitha, S.; Reddy, Desidi Narsimha; Kodali, Swetha
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.5851

Abstract

Wireless sensor networks (WSNs) serve as the basic unit of the Internet of Things (IoT). Because of their low prices and potential use, in recent years, wireless sensor networks (WSNs) have garnered attention for various uses. Then sensor nodes (SN) can prepared with limited battery is critical energy utilization be monitored closely. Hence, reducing the node energy utilization is obviously vital to extending the network lifespan. Clustering is an effectual manner for diminishing energy utilization in WSNs. In a multi-hop clustered network condition, every SN transfers data to its individual cluster head (CH), and the CH gathers the information from its member nodes and relays it to base station (BS) using other CHs. Conversely, the “hotspot” issue is inclined to take place in clustered WSNs while CHs near the BS are heavier intercluster forwarding tasks. In this article, we leverage Gradient based Optimization based Unequal Clustering Algorithm for Hotspot Problem (GBOUCA-HP) technique in the WSN. The GBOUCA-HP technique is applied to get rid of the unequal clustering process in the WSN using metaheuristic algorithms. The GBOUCA-HP technique focuses on the optimization of energy usage, resolving hot spots, and extending the network lifespan. In the GBOUCA-HP technique, the GBO algorithm is based on two concepts such as diversification and intensification search and the gradient‐based Newton’s phenomena. Moreover, the GBOUCA-HP technique adaptive selects the CHs with varying cluster sizes for diverse energy levels and computation abilities of the nodes. The widespread set of simulations and evaluations shows the effective performance of the GBOUCA-HP technique. The GBOUCA-HP technique is found to be a significant approach to tackling the hotspot issue in the WSN with the intention of decreasing energy consumption optimization and enhancing network efficiency.
Methodological Approach to Automated Recognition of Atrial Fibrillation and Subsequent Classification Lampezhev, Abas; Ivanov, Naur; Aslanov, Tagirbek; Nogmov, Muhamed; Lysenko, Viktor
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.6170

Abstract

This study considers topical issues aimed at improving the methodology of early recognition of atrial fibrillation and monitoring its treatment against the background of other heart rhythm disorders. The task set in this study is an essential component of the search for solutions, whose purpose is to increase the efficiency of information systems for cardiac diagnostics and monitoring within the framework of complex research to improve the means of heart rhythm analysis and arrhythmia recognition. In the context of this study, a linear discriminant analysis approach based on the concept of K-entropy was proposed as a means of automating the procedure for the recognition of AF against the background of other rhythm disorders using a limited data sample. With regard to the classification of atrial fibrillation samples, the use of decisive rules and arrhythmia types, based on the analysis of scatterograms, is put forth as a solution. The results of the proposed methods for recognizing the presence of atrial fibrillation and its classification demonstrated superior performance when compared to existing methods. The proposed method exhibited a specificity of 98.5% and a sensitivity of 98%. The proposed method for determining the presence of atrial fibrillation demonstrates suboptimal accuracy when applied to a limited sample size. Further development of the method should be concentrated in this area.
A Novel Methodology for Container Scheduling and Load Balancing in Distributed Environments M.S, Saravanan; Gogineni, Neelima
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.5938

Abstract

Deployment of applications in distributed environments via containers has gained huge popularity lately, specifically with cloud-based ecosystems. Inspired by the quick growth of container usage and deployment in distributed environments, efficient scheduling techniques are of prior significance embedded with load balancing in it for cloud computing tasks. Most of the scheduling strategies adopt conventional methods and fail to execute efficiently in the dynamic cloud or distributed environments where applications around the world depend on them for scalability, efficiency, and availability. Existing applications focus more on performance metrics instead of scheduling efficiency, so often they offer performance that can come at the expense of scheduling. This paper proposes a new algorithm that includes consideration of contention over the network, along with efficient canister planning and load distribution. The algorithm we have designed to achieve the proposed scheduling and load balancing is Contention-aware Greedy Heuristic Scheduling and Load Balancing for Containers (CGHSLBC), which has been extensively evaluated under continuous workload and has outperformed current state-of-the-art algorithms by 20% in load balancing efficiency and 25% in network contention reduction, demonstrating its promise for container scheduling in dynamic distributed environments.
A Survey on Blockchain-Based Routing in Communication Networks Wijesekara, Patikiri Arachchige D.S.N.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.5441

Abstract

Routing in communication networks involves the transmission of packets among network nodes by making routing decisions constructed upon diverse protocols that can depend on various metrics. Blockchain systems made up of concatenated blocks inherently preserve the faithfulness, assure the non-deniability, and assure the obscured individuality of their transactions/blocks through the incorporation of distributed unanimity mechanisms and cryptographic techniques. In the present literature, it clearly lacks a review manuscript on the broad scope of blockchain-based routing; thus, we fill that gap by studying Blockchain-based Routing (BBR) under numerous routing techniques, identifying the concept under 5 divisions, and then in-depth scrutinizing the reviewed work based on blockchain-correlated, routing-correlated, and network-correlated characteristics. We collected a premature sample of 83 articles by cherry-picking articles for qualification requirements explored in scientific databases, employing an in-depth and extended quality assessment approach. As per the appraisal, BBR improves the overall routing performance and security through the storage of routing decisions and updates securely, automatic routing with the aid of smart contracts, providing authentication for secure routing, providing reputation-based routing, and blockchain-based onion routing. In-depth scrutinization reveals that 45.5% of BBR frameworks utilize blockchain for storing routing decisions and updates; 93.2% employ linear blockchain architecture; 20.5% employ proof-of-work consensus; 100% dynamic routing; 72.8% decentralized routing; 93.2% single path routing; 86.4% table-based; and 20.5% are designed for IoT networks. Finally, we disclose the possibilities and impediments of the idea of BBR, identify review gaps, and then render proposals to conquer them.
Clustering the Addiction Levels of Drug Users Using Fuzzy C-Mean Okfalisa, Okfalisa; Suliandri, Pramulia; Alwesabi, Ola A.; Tassuov, Bolat; Saule, Raimbayeva; Vitaliy, Kurdyukov; Zulkifli, Zahidah; Handayani, Lestari
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.6008

Abstract

Recently, the number of drugs abused, such as Narcotics, Psychotropics, and Addictive Substances have been linear increased with the drug users. The increasing number of these cases triggers the difficulties for rehabilitation associations in diagnosticating the abuse level for medical and health prevention. Herein, data mining with a Fuzzy C-Mean clustering approach is employed to delve 506 drug users’ addiction into three clusters by considering several indicators including age, urine test, duration of use, physical effects, and psychological effects. As a result, 215 data are recorded in clusters 1 as high optimum addiction, 105, and 186 data in clusters 2, and 3 as medium and regular addiction levels, respectively. The Silhouette Coefficient, Calinski-Harabasz Index, and Davies-Bouldin Index algorithms reveal high potential values to indicate the proper achievement of this clustering structural test. A clustering software has been successfully developed and tested to aid the calculation and analysis. Hence, the rehabilitation associations in Riau province as end-user of this case are aided in identifying the addiction level of drug users in order to ensure the proper therapeutic prevention and curative action.
A Novel Compact CPW-fed Octagonal-Shaped Slotted Antenna for UWB Applications Franklin Alex Joseph, A.; Jothi, B.; Shantha Sheela, R.; Anitha, N.; Priya, S.B.; Mohan, C.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.6062

Abstract

A size-reduced CPW-fed Ultra-Wideband (UWB) octagonal-shaped patch antenna with a combination of multiple slots designed for UWB applications is proposed here. The proposed low-profile antenna includes three equalsized slots in an octagonal radiating patch. Moreover, better matching is provided by the feedline's U-shaped slots. A new combination of CPW configuration with a slotted octagonal patch increases bandwidth and reduces antenna size. The fabricated prototype of this octagonal-shaped antenna is situated on a basic FR4 substrate with a relative permittivity of εr = 4.3. The suggested antenna's substrate size measures 15 x 21 x 1.6 mm3 and has an 8.8 GHz overall bandwidth, which includes the frequency range of 3 GHz to 11.8 GHz. Variations in gain range from 1.3 to 3.2 dB, with an average overall efficiency above 81 %. This antenna has been fabricated and successfully validated with simulated results. Other features include its compactness, directivity, realized gain, and stable radiation properties across the entire operating band, proving its effectiveness.
Leveraging Ensemble Learning Models for Human Activity Recognition Janaki, M.; Balakrishnan, Sarojini
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.6140

Abstract

This paper presents a novel method for categorizing human activities by processing sensor data obtained from IoT devices, focusing on improving accuracy. The proposed approach leverages an ensemble learning framework with majority voting, integrating hyperparameter-optimized classifiers to enhance predictive performance.The ensemble approach minimizes individual biases and errors, effectively handling the variability inherent in sensor data. Adequate preprocessing techniques refine data quality before feeding it into the model. A diverse set of base classifiers, such as KNN, Decision Tree, and Random Forests, are considered for classification. Hyperparameter-optimized KNN Grid Search, Gradient-Boosted Decision Trees, and Random Forests with Optimal Trees are ensembled. Extensive experiments were conducted on Human Activity Recognition datasets, WISDM, HAPT, HAR, and KU-HAR.The model performance was rigorously evaluated using classification metrics such as accuracy, precision, recall, and F1-score. Empirical results demonstrate that the proposed ensemble method significantly enhances classification accuracy. Future research will investigate applying deep learning techniques to capture complex feature interactions within sensor data better.
Dual Band Circular Polarized Design of Rectangular Microstrip Antenna For GPS L-band and Galileo E-band Applications Deshmukh, Amit A.; Page, Tejal P.; Chavali, Venkata A. P.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.6211

Abstract

Design of rectangular microstrip antenna employing three rectangular slots of unequal lengths on one of the patch edges, is presented to achieve dual band and dual sense circular polarized characteristics. Circular polarized response in the two bands is attributed to the optimum inter-spacing in between the rectangular patch’s TM10, TM11 and TM12 resonant modes. For axial ratio less than 3 dB, an optimum design offers axial ratio bandwidth of 26 MHz (2.05%) and 73 MHz (4.59%) in the dual bands, bearing frequency ratio of 1.25. This circular polarized bandwidth lies inside the VSWR < 2 bandwidth of 665 MHz (49.83%). Antenna offers radiation pattern maximum in the broadside direction across axial ratio and VSWR bandwidth, with a gain of more than 6 dBic. For the obtained antenna characteristics, the three rectangular slot cut design is suitable in variety of applications like, GPS L1 & L2 bands, and Galileo E1 & E6 bands. The experimental verification has been carried out for the proposed configuration that shows close agreement against the simulated results.
Systematic Literature Review: Security Challenges of IoT-based Smart Home Systems Ben-Nakhi, Abdullah Ali; Abd El-barr, Mostafa; Qureshi, Kalim Uddin
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 1: March 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i1.6103

Abstract

Internet of things has a wide range of applications such as healthcare, agriculture, transportation, and industrial manufacturing. Smart homes automation occupies a large segment of applications. Due to the proliferation of IoT-based smart homes systems, the attack vector on these devices expanded and became a target for attackers. Although these devices are improving constantly, security is still a challenge for them. The lack of security standardizations and hardware limitations resulted in a slow or lack of security practices in these devices. In this study, we conduct a systematic literature review to identify the exposed threats in the last five years in these devices and introduce novel countermeasures to mitigate the security issues. IEEE, ACM, Scopus, Science Direct, Springer, and MDPI databases were selected for the systematic review. The result of the systematic review were 731 articles collected. Based on reading the abstract, 605 articles were excluded, and 41 articles were excluded based on reading the full text. The result 70 articles were filtered using quality assessment criteria which resulted in 35 articles related to our search domain and answering the research questions. Additionally, a survey is conducted to elicit experts in the field knowledge to enhance our findings. We were able to identify 22 unique threats that endanger smart homes systems and the proposed countermeasures classified into 5 classes.

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