Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
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.
Articles
783 Documents
<![CDATA[Time Efficiency on Computational Performance of PCA, FA and TSVD on Ransomware Detection ]]>
<![CDATA[Benni Purnama]]>;
<![CDATA[Deris Stiawan]]>;
<![CDATA[Darmawijoyo Hanapi]]>;
<![CDATA[Mohd. Yazid Idris]]>;
<![CDATA[Sharipuddin Sharipuddin]]>;
<![CDATA[Nurul Afifah]]>;
<![CDATA[Rahmat Budiarto]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.3481
<![CDATA[Ransomware is able to attack and take over access of the targeted user'scomputer. Then the hackers demand a ransom to restore the user's accessrights. Ransomware detection process especially in big data has problems interm of computational processing time or detection speed. Thus, it requires adimensionality reduction method for computational process efficiency. Thisresearch work investigates the efficiency of three dimensionality reductionmethods, i.e.: Principal Component Analysis (PCA), Factor Analysis (FA) andTruncated Singular Value Decomposition (TSVD). Experimental results onCICAndMal2017 dataset show that PCA is the fastest and most significantmethod in the computational process with average detection time of 34.33s.Furthermore, result of accuracy, precision and recall also show that the PCAis superior compared to FA and TSVD.]]>
<![CDATA[Modelling of River Catfish (Cephalocassis Jatia) Population in Malaysia ]]>
<![CDATA[Wan Saliha Wan Alwi]]>;
<![CDATA[Muhamad Safiih Lola]]>;
<![CDATA[Nur Edayu Zaini]]>;
<![CDATA[Mohd Noor Afiq Ramlee]]>;
<![CDATA[Abdul Aziz K Abdul Hamid]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.2897
<![CDATA[This research presents the mathematical modeling of the economic cycle of fish-population structures in Malaysia. This paper shows how to develop a model of river catfish based on system dynamics and simulates the model for policy planning and sustainable development. These experiences are essential if dynamic systems are to be modeled and simulated. The mathematical model predicts long-term trends for hatching, growth, and harvesting of the river catfish population. Simulated results suggest that the economic harvesting of adults entering the rivers has been discussed and effective strategies for sustainable fish production. Management strategies are put in place to harvest juvenile mortality and spawn adult harvesting, sustainable development of catfish could be maintained.]]>
<![CDATA[Smart DIPSS for Dynamic Stability Enchancement on Multi-Machine Power System ]]>
<![CDATA[Herlambang Setiadi]]>;
<![CDATA[Fakhruddin Arrazi]]>;
<![CDATA[Muhammad Abdillah]]>;
<![CDATA[Awan Uji Krismanto]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.3429
<![CDATA[Disruption of the electric power system always results in instability. These disturbances can be in the form of network breaks (transients) or load changes (dynamic). Changes in load that occur suddenly and periodically cannot be responded well by the generator so that it can affect the dynamic stability of the system. This causes the occurrence of frequency oscillations in the generator. A poor response can cause frequency oscillations for a long period. This will result in a reduction in the available power transfer power. In a multi-machine power system, all the machines work in synchrony, so the generator must operate at the same frequency. Therefore, disturbances that arise will have a direct impact on changes in electrical power. In addition, changes in electrical power will have an impact on mechanical power. The difference in response speed between a fast electrical power response and a slower mechanical power response will result in instability. As a result of these differences, the system oscillates. The addition of the excitation circuit gain is less able to stabilize the system. To solve the problem, additional signal changes are required. The additional signal is generated by the Dual Input Power System Stabilizer (DIPSS) setting using the Ant Colony Optimization (ACO) method.Disruption of the electric power system always results in instability. These disturbances can be in the form of network breaks (transients) or load changes (dynamic). Changes in load that occur suddenly and periodically cannot be responded well by the generator so that it can affect the dynamic stability of the system. This causes the occurrence of frequency oscillations in the generator. A poor response can cause frequency oscillations for a long period. This will result in a reduction in the available power transfer power. In a multi-machine power system, all the machines work in synchrony, so the generator must operate at the same frequency. Therefore, disturbances that arise will have a direct impact on changes in electrical power. In addition, changes in electrical power will have an impact on mechanical power. The difference in response speed between a fast electrical power response and a slower mechanical power response will result in instability. As a result of these differences, the system oscillates. The addition of the excitation circuit gain is less able to stabilize the system. To solve the problem, additional signal changes are required. The additional signal is generated by the Dual Input Power System Stabilizer (DIPSS) setting using the Ant Colony Optimization (ACO) method.]]>
<![CDATA[Quadruple Helix Engagement: Reviews on Shariah Fintech Based SMEs Digitalization Readiness ]]>
<![CDATA[Okfalisa Okfalisa]]>;
<![CDATA[Mahyarni Mahyarni]]>;
<![CDATA[Wresni Anggraini]]>;
<![CDATA[Faisal Saeed]]>;
<![CDATA[Taofeeq D Moshood]]>;
<![CDATA[Saktioto Saktioto]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.3455
<![CDATA[The development of Sharia Financial Technology (Fintech) after Covid-19 has experienced significant fluctuations in affecting the country’s economy. The importance of the role of Financial Transactions in the digitalization readiness of SMEs makes a considerable contribution to the use of Financial Technology as an effort to maintain the sustainability of SMEs. Identification of the involvement of the quadruple Helix (government, investors, academics, and communities) in maintaining the financial stability of SMEs through Sharia Fintech emerged as new challenges and opportunities in improving the economy after Covid 19 in Indonesia. Therefore, a systematic literature review investigation regarding how to utilize Sharia fintech products that are adjusted to the degree of digitization is required to help SMEs’ sustainability as well as explore the role of the quadruple Helix in pursuing this success. We identified 110 papers published on Sharia Fintech for SMEs, SMEs Digitalization Readiness, and The Role of Quadruple Helix between 2003-2021 with 87 specifications from Scopus journals and 23 from proceedings conferences. The analysis was performed using Atlas.ti 9 Software Packages on the above topic by limiting the discussion to inclusion and exclusion criteria. The literature review found a lack of study about the evaluation of Quadruple Helix Engagement for Sharia Fintech Based SMEs Digitalization Readiness. Thus, it needs an enhancement of a new model of Sharia fintech quadruple helix recommendation focuses on the SMEs digital readiness assessment as an attempt to increase the utilization of proper Sharia fintech products for SMEs.]]>
<![CDATA[An Ensemble Classifier Based on Individual Features for Detecting Microaneurysms in Diabetic Retinopathy ]]>
<![CDATA[Mohamed Jebran Pendekal]]>;
<![CDATA[Shweta Gupta]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.3522
<![CDATA[Individuals with diabetes are more likely to develop Diabetic Retinopathy (DR), a chronic ailment that can lead to blindness if left undiagnosed. Early-stage Diabetic Retinopathy (DR) is characterized by Microaneurysms (MA), which appear as tiny red lesions on the retina. This paper investigates a unique approach for the automated early identification of microaneurysms in eye images. A unique ensemble classifier technique is suggested in this work. Classifiers like SVM, KNN, Decision Tree, and Naïve Bayes are chosen in this study for building an ensemble model. After preprocessing the image, certain common image characteristics such as shape and intensity features were retrieved from the candidate. The mean absolute difference of each feature is computed. Based on mean ranges that would give improved classification results, an expert classifier is chosen and trained. The outputs of the classifiers are integrated for each of the distinct characteristics, and the number of categories that have been most frequently repeated is utilized to reach a final decision. The process has been comprehensively validated using two available open datasets, like e-ophtha and DIARETDB1. On the e-ophtha and DIARETDB1 datasets, the ensemble model achieved an AUC of 0.928 and 0.873, Sensitivity of 90.7% and 85%, Specificity of 90% and 91% respectively.]]>
<![CDATA[Optimal RoadSide Units Distribution Approach in Vehicular Ad hoc Network ]]>
<![CDATA[Ali Kies]]>;
<![CDATA[Khedidja Belbachir]]>;
<![CDATA[Zoulikha Mekkakia Maaza]]>;
<![CDATA[Claude Duvallet]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.3116
<![CDATA[A vehicular ad hoc network is a particular type of ad hoc mobile network. It is characterized by high mobility and frequent disconnection between vehicles. For this, the roadside units (RSUs) deployment permits to enhance the network connectivity. The objective of this work is to provide an optimized RSUs placement for enhancing the network connectivity and maximizing the accident coverage with reducing the deployment cost. In this paper, we propose our approach called Optimized RoadSide units Deployment (ORSD). The proposed approach comprises a two-step, in the first step, ORSD finds the RSUs candidate locations based on network density and connectivity. We calculated the connectivity of each segment based on speed and arrival information’s. The second step permit to find the optimal solution of our proposed objective function. The objective function permits to enhance the network connectivity and maximizing the accident coverage. To find the optimal solution of our objective function is an NP-complete problem of order o(n²) . Therefore, we propose to solve this problem in two phases, so that it becomes a simple linear problem to solve. The ORSD is proposed for urban and high way scenarios. The extensive simulation study is conducted in order to assess the effectiveness of the proposed approach. We use the Simulator of Urban MObility (SUMO) for generating different traffic scenarios. We develop scripts to extract different information as density, speed and travel time in each segment. Then, we develop an algorithm to calculate connectivity probability for each segment. Then, we implement our objective function to finds optimal RSUs positions in terms of connectivity, accident cover and cost.]]>
<![CDATA[Study of the Alamouti-OFDM system using ZP technique and training symbols in multi path selective fading channel ]]>
<![CDATA[Hadj Ali Bakir]]>;
<![CDATA[Fatima Debbat]]>;
<![CDATA[Fethi Tarik Bendimerad]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.1745
<![CDATA[In this paper, we propose a modified Alamouti code matrix and it associated with zero padding orthogonal frequency division multiplexing known as (Alamouti- ZP OFDM). Which zero padding (or zeros samples) are adopted over the OFDM symbols that construct also the encoded symbols of the Alamouti matx. Training symbols are applied for the channel estimation. Furthermore, the ML decoding algorithm is used to get output bits which the BER can be measured. Using the selective multi path fading as model for wireless channel to evaluate the performance provided by the system proposed. The performance of the approach proposed is based on BER parameter. For that, the system is simulated in two profiles of paths number (3 paths, and 6 paths) have used, which the spread delays of these paths are taken (in millisecond and in microsecond) respectively. Different data stream are simulated and compared. And the BER performance are compared also for ifft lengths 512 and 1024 and the BER results presented for all parameters of (paths number, and spread delays). The simulation results show that the system presented performed good even the spread delays of multi path channel are great (microseconds or milliseconds) and even increased the data simulated from increasing the parallel of the data streams transmitted in the system study . So, the system could keen their effectiveness against of fading channel and ISI phenomenon. And finaly, it is shown that increasing IFFT samples in the simulation process the improvements are more enhanced of the approach proposed.]]>
<![CDATA[A Novel Framework To Investigate The Impact Of Social Media Advertising Features On Customer Purchase Intention Using Bwo-Dann ]]>
<![CDATA[Meena Zenith N]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/.v10i1.2993
<![CDATA[Social Media (SM) has turned out to be a platform for marketing as well as advertising activities. In relation to SM Advertising (SMA), the cultural influence on consumers’ behavior as well as attitude is more vital. Organizations have used up loads of money, time, and also resources on SMA. Nevertheless, it is always a challenge for the organizations to model SM advertisement in a means to effectively attract and also motivate customers into purchasing their brands. This paper proposed a novel framework to scrutinize the SMA features’ impact on Customer Purchase Intention (CPI) by means of the BWO-DANN. Initially, the questionnaires are given to the various customer and their answers are collected. Then, answers will be uploaded and are converted into numerical format into the system. Next, the CSGA-KM is utilizedfor clustering the questionnaires on the base of personal information. Then the BWO-DANN is utilized to train the converted questionnaire set. After that, the system is tested by utilizing KFCV. Finally, through the mean model, CPI is founded out. The extensive experimentation’s outcomes illustrated that the system trounced the other methodologies, and also it is best to examine the CPI.]]>
<![CDATA[Reliability Evaluation of 33/11kV Olunde Injection Substation for Improved Performance ]]>
<![CDATA[Olayinka Matthew Oyeleye]]>;
<![CDATA[Olatunde Adeyemo]]>;
<![CDATA[Thomas Olabode Ale]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.3688
<![CDATA[Electric power supply reliability (PSR) is crucial in the present economy to avoid huge economic loss and life discomfort. Thus, there is need to improve PSR. Reliability evaluation of power equipment was carried out on Olunde 33/11kV Injection Substation using extracted and available five years data of Fault Frequency and Downtime of associated power equipment for 2016 to 2020 from the Injection Substation’s log books. Fault Tree Analysis (FTA) Technique was used in this research. The existing Injection Power Substation results shows that the overall injection substation unavailability of power supply was 0.00672; 33kV NBL Feeder alone has the highest percentage of failure contribution 72.97% of the unavailability of the injection substation. The reliability improvement of the Injection Power Substation using doubling maintenance activities method on the NBL 33kV feeder shows that the overall injection substation unavailability improved from 1:1.57; the NBL 33kV feeder failure contribution reduced to 15.63%. Using a redundant feeder, 33kV feeder, the overall unavailability of the injection substation improved from 1:3.6; the NBL 33kV failure contribution reduced to 1.31%. The redundant feeder approach in this work is highly significant since it is better than the doubling maintenance activities method.]]>
<![CDATA[An efficient human activity recognition model based on deep learning approaches ]]>
<![CDATA[Aymen Jalil Abdulelah]]>;
<![CDATA[Mohannad Al-Kubaisi]]>;
<![CDATA[Ahmed Muhi Shentaf]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 1: March 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i1.3438
<![CDATA[Human Activity Recognition (HAR) has gained traction in recent years in diverse areas such as observation, entertainment, teaching and healthcare, using wearable and smartphone sensors. Such environments and systems necessitate and subsume activity recognition, aimed at recognizing the actions, characteristics, and goals of one or more individuals from a temporal series of observations streamed from one or more sensors. Different developed models for HAR have been explained in literature. Deep learning systems and algorithms were shown to perform highly in HAR in recent years, but these algorithms need lots of computerization to be deployed efficiently in applications. This paper presents a HAR lightweight, low computing capacity, deep learning model, which is ideal for use in real-time applications. The generic HAR framework for smartphone sensor data is proposed, based on Long Short-Term Memory (LSTM) networks for time-series domains and standard Convolutional Neural Network (CNN) used for classification. The findings demonstrate that many of the deployed deep learning and machine learning techniques are surpassed by the proposed model. TRANSLATE with x English ArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian // TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster Portal Back //]]>
