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Mochammad Apriyadi Hadi Sirad
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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,
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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 24 Documents
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Expert System Implementation of the Certainty Factor Method for Smartphone Damage Diagnosis Syahrul Mubarak Abdullah; Hariani Ma'tang Pakka; Andi Syarifuddin; Ahmed Saeed Alghamdi
International Journal Of Electrical Engineering and Inteligent Computing Vol 1, No 2 (2024): 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.v1i2.7810

Abstract

Android smartphone is currently one of the most extensively utilized operating systems. Nevertheless, Android devices are susceptible to issues such as Ic Emmc, Ic Power, software malfunctions, Blank Screen, Hang, complete device malfunction, and boot loop. Prompt intervention is crucial when a smartphone experiences a problem to prevent more harm and safeguard the user. The Certainty Factor (CF) accounts for the inherent uncertainty in an expert's analysis. Expressions such as "uncertain," "highly probable," "likely," "very likely," "almost certain," and "certain" are frequently employed in this context. This study employed a manual questionnaire to assess the efficacy of the expert system in identifying malfunctions in Android devices. All five technicians and all five user respondents expressed significant agreement about the reliability of the expert system in the questionnaire, and the black box test yielded a perfect 100% success rate. Through accuracy testing, using 10 samples of expert analysis data and 10 samples of system data, it was determined that the expert system achieved an 80% accuracy rate in generating diagnostic conclusions based on the tested data.
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.
Hybrid Systems for Energy Distribution and Telecommunication Reliability in Smart Grids Saidah Sayuti; Hariani Ma'tang Pakka; Andi Syarifuddin; Muhammad Yusuf Mappeasse; Widya Wisanty
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 1 (2024): 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.v2i1.9520

Abstract

The integration of energy distribution systems and telecommunication networks is crucial for improving the reliability, efficiency, and scalability of smart grids. However, challenges such as electromagnetic interference (EMI), latency, and fault tolerance complicate seamless operation. This study proposes a hybrid framework using MATLAB/Simulink to model and simulate energy distribution, real-time monitoring, and fault detection in high-voltage environments. The simulation framework consists of a high-voltage energy distribution network modeled with multiple buses, transformers, and distributed renewable energy sources. IoT-based sensors are strategically placed at critical nodes to collect real-time voltage and current data, which are transmitted via 5G communication protocols using the MQTT messaging standard. Fault detection is performed using an AI-driven Support Vector Machine (SVM) algorithm, trained with historical fault data to detect anomalies and classify fault types with high accuracy. The simulation environment integrates power flow analysis, real-time fault detection mechanisms, and communication latency assessment to evaluate system performance. Key findings demonstrate up to 92.8% energy efficiency with 60% renewable energy penetration, fault recovery times reduced to 35 ms through AI-based detection, and communication latency maintained below 15 ms for IoT-based monitoring. These results validate the proposed framework’s ability to address critical challenges in smart grids, including EMI mitigation, fault tolerance, and system scalability. This research bridges the gap between energy distribution and telecommunication systems, offering a scalable and sustainable solution for smart grid optimization.
Performance Evaluation of the Plagiarism Systems A Systematic Review Nawzt Hasan Qazan; Shayma Mustafa Al- Mashhadany
International Journal Of Electrical Engineering and Inteligent Computing Vol 1, No 1 (2023): 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.v1i1.7203

Abstract

Paraphrase plagiarism occurs when text is deliberately obfuscated to evade detection, deliberate alteration increases the complexity of plagiarism and the difficulty in detecting paraphrase plagiarism., Plagiarism systems play an important role in educational and research institutions.  In the field of education, the use of these systems has increased in universities to help researchers select new research, which is why it has been important to ensure that universities have effective citation screening systems.  Different metrics were used to evaluate the performance of these systems.  All of these metrics affect the performance and usability of the impersonation system.  This paper present a systematic literature review (SLR) to obtain an overview of the existing studies of distinct criteria for evaluating the performance of textual plagiarism systems and each criterion is briefly explained to give the basic idea behind it.  Overall, the aim of this paper is to provide a modern introduction and short review of these criteria.  A systematic literature review is performed according to the guidelines for conducting SLR in software engineering.  The study relied on a comprehensive set of research papers collected from electronic libraries published during a time period from 2013 to 2023. The results of this SLR include information about metrics for evaluating the performance of plagiarism systems according to previous research.  During a specific period it can assist researchers in this field by providing an overview of current researches in this field.  Moreover, it may serve as a first step towards a great SLR-assisted explanation of the subject.
A Multimodal Deep Learning Framework for Early Detection of Congenital Heart Disease in Neonates Iis Hamsir Ayub wahab; Sri Yati
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 2 (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.v2i2.10059

Abstract

Congenital heart disease (CHD) is the most common congenital defect and still adds significantly to the neonatal morbidity and mortality rates. Classic echocardiography and ECG unimodal data traditional methods are often unable to analyze complex, multifunctional, and multifactorial cardiac pathologies in neonates. This paper presents an explainable multimodal deep learning framework that acquires four diverse sources of clinical data. Multimodal data includes echocardiogram videos, ECG, and other physiological and structured electronics health record (HER) data. We propose a self-attention-based late fusion transformer architecture that also uses self-attention mechanisms. The model trains and validates on benchmark datasets, which are transparently and reproducibly available (EchoNet-Dynamic, MIMIC-IV, PhysioNet Capnobase, and MIT-BIH). The results achieved using the proposed model mark an improvement over existing benchmarks with 93% accuracy, 95% sensitivity, and 0.96 area under the ROC curve. Using interpretability modules, features that were value added towards determining the diagnostic indicators that were incorporated in the neonatal infant care were shown to be critically relevant. Moreover, the model shows high performance consistency across several data sources and shifts. The research illustrates the use of explainable deep learning architectures for automation of early-stage heart defect detection in newborns. Some of the future work includes validation through clinical studies and multilingual electronic health record integration.
Planning Study of Solar Power Plant (PLTS) in Lelewi Village, Gane Tengah District, South Halmahera Regency M. Yunus H Abbas; Iis Hamsir Ayub wahab
International Journal Of Electrical Engineering and Inteligent Computing Vol 1, No 2 (2024): 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.v1i2.8387

Abstract

Lelewi Village, Gane Tengah District, South Halmahera Regency, there are 80 families (heads of families) whose livelihood is farmers and fishermen. Geographically, Lelewi village is located in an area with a fairly high potential for solar energy, making Lelewi village a suitable place for the construction of a Solar Power Plant. Frequent sudden power outages due to lack of load capacity and natural disturbances (such as broken branches and trees and animals) cause a large number of electronic equipment to be damaged. And the operating time of PLN starts from 18.00 – 07.00, so a Solar Power Plant (PLTS) system is designed for use during the day only.So that this research will be discussed in more depth about the Analysis of Power Calculation at Solar Power Plants in Lelewi Village, South Halmahera Regency. To design an electric energy plant so that it meets the load needs for 10 years in Lelewi Village, South Halmahera Regency, it is necessary to carry out a load forecast (forecast electricity load). The method used to carry out load forecasting is the Linear Regretion method. Solar power energy is calculated at 50% of the daily load during the day, total electrical energy that can be generated from solar power plants is 12 Wh.  The solar components used after accounting for the need for electrical power backup are 48 100 wp solar panels, 48 units of 12V voltage batteries with a capacity of 100 Ah which are expected to be charged in about 10.05 hours, 2 units of solar charger controllers, and 1 unit of inverter with a capacity of 226.25 Watts
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.
Improving Artificial Intelligence Techniques for Classifying the Vessels of the Grand Mosque of Al-Nuri Ruba Talal Ibrahim
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 1 (2024): 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.v2i1.9620

Abstract

The Grand Mosque of al-Nuri is a historic mosque that preserves the civilized history of Mosul. It is one of the oldest mosques in the city and contains the Al-Hadba Minaret, which includes the same name as the city of Mosul. This minaret is distinguished by its architectural design and its varied and wonderful decorations. The architectural design of the mosque is unique. The mosque was damaged during the ISIS campaign in Mosul, and the majority of the vessels and relics within it were broken. As a result, it became important to conserve and electronically document the remaining archeological landmarks. So, in this study a hybrid was made between pre-training model to extract features and machine learning methods to classify the dataset of the vessels of the Grand Mosque of al-Nuri. Several pre-processing was applied to the images and then passed to DenesNet201 to extract features and send them to the Extra Tree and Random Forest methods to classify them into pottery and ceramic categories. The results showed that the two hybrid methods outperformed traditional machine learning methods with an accuracy of 98% and 93%, respectively.
Design a Sign Language Translator Using Flexible Sensors Iis Hamsir Ayub Wahab; Zulaeha Mabud; Bujur Jalali
International Journal Of Electrical Engineering and Inteligent Computing Vol 1, No 1 (2023): 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.v1i1.7209

Abstract

In terms of communication skills, many of us have limitations and shortcomings or what we are more familiar with is speech impairment Speaking is the ability to pronounce articulated sounds or words to express, express and convey thoughts, ideas and feelings. Communication skills can include many ways, including using verbal skills, namely verbally and non-verbally. In Indonesia, there are two sign languages used, namely Indonesian sign language (BISINDO) and Indonesian sign system (SIBI). BISINDO is a sign language that appears naturally in Indonesian culture and is practical for use in everyday life so that BISINDO has several variations in each region. The flex sensor has a thin and densely curved shape so that the flex sensor can be used as a motion detection and finger curve. Flex sensor application for human movement detection, patient monitoring. Therefore, hand-to-letter/text sign language translators using flexible sensors is a very important problem today. The method carried out is system design using tools and components used in research. This tool using the working principle in this system is to translate the sign language of alphabetic letters using flexible sensors. Design sign language translation of alphabetic letters using flexible sensors. The test to display the letters of the alphabet A-Z has a total minimum and maximum resistance at a flexible session of 1000 ohms with a voltage of 5V each. The result of this data is that there is no error in the play because the range value does not violate each other with other range values
Analysis of Rooftop Solar Power Plant Planning for Lecturers' Houses and Solar Street Lighting at Campus 4 Unkhair Sofifi Idham A Djufri; Faris Syamsudin
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 2 (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.v2i2.10364

Abstract

The utilization of solar energy as a substitute for fossil energy has become a necessity in facing the global energy crisis due to the increasingly critical dependence on fossil energy. Additionally, the use of fossil energy causes environmental damage/climate crisis. The utilization of solar energy not only alleviates the global energy crisis but also produces environmentally friendly energy that can reduce carbon emissions resulting from the combustion of fossil fuels. Currently, the use of solar energy is not only implemented in areas that are not yet served by PLN electricity, but it is also used in almost all public facilities with the aim of transitioning energy from conventional electricity to renewable electricity. One of the uses of solar energy is through a centralized system to meet the electricity needs in the surrounding area, reducing the use of electricity sourced from fossil fuels, and decreasing carbon emissions that cause climate damage. This research aims to utilize solar energy to reduce the use of fossil fuel-based energy, which can harm the climate and environment, as well as to calculate the investment costs of using centralized solar power plants (PLTS). The method used in this research is data collection and the calculation of technical and economic needs. The research results indicate that the rooftop solar power system for the lecturer's house has a total power of 7,920 Watts, using 4 solar modules with a capacity of 450 wp per module. The battery capacity used is 120 Ah 48 volts, with 4 units. For solar street lighting, a total of 17 solar streetlight poles were obtained, each 7 meters high, with a lamp power of 40 watts per pole. The solar module capacity is 100 Wp and the battery capacity is 100 Ah.

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