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Contact Name
Mochammad Apriyadi Hadi Sirad
Contact Email
ijeeic.unkhair@gmail.com
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+6282292852552
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ijeeic.unkhair@gmail.com
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Departement of Electrical Engineering, Faculty of Engineering, Universitas Khairun, Address: Yusuf Abdulrahman No. 53 (Gambesi) Ternate City - Indonesia
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Kota ternate,
Maluku utara
INDONESIA
International Journal of Electrical Engineering and Intelligent Computing
Published by Universitas Khairun
ISSN : -     EISSN : 30315255     DOI : 10.33387/ijeeic
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Energy
International Journal of Electrical Engineering and Intelligent Computing, E-ISSN : 3031-5255 is an official publication of the Universitas Khairun. The IJEEIC is an international journal is a peer-reviewed open-access. The IJEEIC that has been published online since 2023.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing" : 5 Documents clear
Robust Beamforming Design Under Statistical Channel Knowledge for Multi-User Radar Communication Systems Saidah Suyuti; Respaty Namruddin; Abdullah Basalamah
International Journal Of Electrical Engineering and Inteligent Computing Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.11310

Abstract

The simultaneous operation of radar and communication systems over the same frequency band causes severe mutual interference, especially in multi-user multiple-input multiple-output (MIMO) scenarios. Most existing radar–communication coexistence schemes rely on instantaneous channel state information, which is difficult to acquire accurately in fast-varying environments and leads to high signaling overhead and computational complexity. This paper investigates a robust joint beamforming framework for multi-user MIMO radar–communication coexistence systems based exclusively on statistical channel state information. The objective is to improve the achievable ergodic sum rate of communication users while preserving radar operational requirements under transmit power and coexistence constraints. By exploiting long-term channel statistics and large-system analysis, a deterministic approximation of the ergodic sum rate is derived, enabling low-complexity beamforming design without requiring instantaneous channel knowledge. To address imperfections in statistical CSI estimation, a worst-case robust optimization framework is developed, and an efficient alternating optimization algorithm is proposed. Simulation results demonstrate that the proposed robust beamforming scheme significantly outperforms non-robust statistical-CSI-based approaches, achieves performance close to instantaneous-CSI-based benchmarks, and maintains robustness against statistical CSI uncertainty while effectively managing the trade-off between communication performance and radar interference.
Symbiotic Organism Search Based on Sensitivity Factor for Optimal Location and Sizing of Distributed Generation Iswan Iswan; Umar Umar; M Natsir Rahman; Suparman Suparman; Muhammad Said; Faris Syamsuddin; Dharmawan Dharmawan; Andi Syarifuddin
International Journal Of Electrical Engineering and Inteligent Computing Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.9716

Abstract

The technology of Distributed Generations (DGs) has attracted the focus of researchers and engineers over the past two decades as an effective solution to address power quality and supply issues for customers. Determining the optimal locations and sizes for DGs remains a significant challenge. This study explores the optimization of DG placement and sizing to reduce power losses in radial distribution systems. The Loss Sensitivity Factor (LSF) is used to identify suitable locations for DGs, while Symbiotic Organisms Search (SOS) is utilized to determine their capacities. Simulation results using three DGs on the IEEE 33-bus distribution system indicate that this approach can reduce active power losses by 67.66%.
Analyzing Illegal Trade On The Dark Web Zaid Mundher
International Journal Of Electrical Engineering and Inteligent Computing Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.10851

Abstract

Internet can be divided, in terms of accessibility, into three main categories: Surface web, Deep web, and Dark web. The dark part is considered the most dangerous of these types due to the difficulty of tracking its users and the anonymity it offers, making it widely used for illegal activities. This research aims to measure the prevalence of illegal activities in Iraq and some neighboring countries, specifically Syria, Saudi Arabia, and Iran. The activities tracked include: drug trafficking, fake documents, and weapons trafficking. The search engine "Ahmia" was used to collect dark web links (with the .onion extension) as an initial stage. In the second stage, the Tor network was used to access these links to obtain more information from each page. A dataset of approximately 5,000 pages was created and analyzed to generate a set of insights related to the data. The results showed that Iraq appears more prominently compared to neighboring countries, reflecting the widespread use of dark web sites, as will be discussed later in this work.
Enhancement of Generator Contribution Allocation Using Power Tracing Approaches in Deregulated Power Systems Syarifuddin Nojeng; Muhammad Nawir; Reny Murniati; Hariani Ma’tang Pakka; Amelya Indah Pratiwi
International Journal Of Electrical Engineering and Inteligent Computing Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.11304

Abstract

The implementation of transmission open access in deregulated power systems requires transparent and equitable allocation of transmission usage among market participants. A key challenge is determining the actual contribution of individual generators to transmission line flows, particularly in meshed networks where loop flows and counterflows occur. Although power tracing based allocation methods are widely adopted due to their conceptual simplicity, classical approaches often fail to accurately represent generator responsibility under such conditions. This paper presents a comparative evaluation of generator contribution allocation using three representative power tracing approaches: the Bialek proportional sharing method, the Extended Incidence Matrix (EIM) approach, and the Generalized Generation Distribution Factor (GGDF) based method. A unified DC power flow–based analytical framework is employed to ensure consistent assessment in a deregulated transmission environment. A standardized 6-bus test system is used to illustrate the differences among the examined approaches. The results show that proportional tracing methods allocate only positive contributions, whereas the GGDF-based formulation is able to capture counterflow effects through negative contribution values. The findings provide useful insights for transmission usage allocation and congestion-related applications in deregulated electricity markets.
Coordinated WECS–BESS Control for Frequency Resilience Enhancement in Low-Inertia Power Systems Andi Syarifuddin; Muhammad Naim; Amelya Indah Pratiwi
International Journal Of Electrical Engineering and Inteligent Computing Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.11314

Abstract

The growing dominance of power-electronics–interfaced renewable resources, particularly wind energy conversion systems (WECS), has led to a substantial reduction in system inertia, posing significant challenges to frequency resilience in modern power grids. Previous national-scale studies on a 23-bus equivalent transmission system have highlighted degraded dynamic performance under high wind penetration; however, active mitigation strategies were not incorporated. This paper extends that work by developing and validating a coordinated control framework combining virtual inertia and adaptive droop mechanisms implemented on Battery Energy Storage Systems (BESS) and DFIG-based WECS. A modified IEEE 23-bus model, scaled from the scaled to represent a national transmission grid, is simulated in MATLAB/Simulink to evaluate performance under various wind penetration and fault conditions. Simulation results demonstrate that the proposed coordinated control improves transient frequency resilience reducing the rate of change of frequency (RoCoF) by up to 38%, increasing frequency nadir by 0.43 Hz, and accelerating voltage recovery within grid-code limits. The MATLAB/Simulink workflow provides a reproducible validation platform for coordinated grid-forming strategies. The proposed approach effectively addresses the low-inertia limitation identified in the previous study and establishes a scalable framework for future techno-economic optimization and hybrid renewable integration in national power systems.  

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