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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
 551   552   553   554   555 
A pulse amplitude modulation scheme based on in-line semiconductor optical amplifiers (SOAs) for optical soliton systems Aadel M. Alatwi; Ahmed Nabih Zaki Rashed
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 2: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i2.pp1014-1021

Abstract

The objective of this work is to simulate a pulse amplitude modulation (PAM) scheme based on in-line semiconductor optical amplifiers for optical soliton systems. The max. power for soliton systems, based on various bits/symbol PAM modulation schemes after a fiber length of 100 km, is simulated and clarified. In addition to the max. Q factor for soliton systems, PAM modulation schemes with various in-line SOA injection currents and a fiber length of 100 km are also simulated and demonstrated in the results. The total electrical power after photo-detectors for soliton systems, based on PAM modulation schemes with various in-line SOA injection currents and a fiber length of 100 km, is also simulated and clarified in the results. The study emphasizes that the higher the SOA injection current, the higher the electrical power and the lower the Q factor that can be achieved in the soliton system.
PREDICTION AND AUTOMATION OF AGRICULTURAL PRACTICES FOR PADDY CULTIVATION USING AMBIENT INTELLIGENCE C, Angel
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp%p

Abstract

Many researchers focused on automating the activities performed in agriculture using technology. These will certainly a good move towards smart precision agriculture. Integrating intelligent technology using ambient intelligence can create a more visualized interactive and responsive environment. Several existing methods focused on providing automatic irrigation, identification of diseases and prediction crop yield using IoT and image processing. However automating all these activities for a particular cultivation is not an easy task. In this paper, a new intelligent system (IntPaddy) is proposed for automating the cultivation of paddy using ambient in9telligence. This provides farmer an ambient assisted environment for managing their cultural practices. Result also shows that the system will keep on learning and updating based on the farmer?s preferences and activities, thereby enabling them to focus more on other activities also.
Classification of a COVID-19 dataset by using labels created from clustering algorithms Layth Rafea; Abdulrahman Ahmed; Wisam D. Abdullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp164-173

Abstract

Novel coronavirus (COVID-19) is a newly discovered infectious disease that has received much attention in the literature because of its rapid spread and daily global deaths attributable to such disease. The White House, together with a coalition of leading research groups, has published the freely available COVID-19 Open Research Dataset to help the global research community apply the recent advances in natural language processing and other AI techniques in generating novel insights that can support the ongoing fight against this disease. In this paper, the hierarchical and k-means clustering techniques are used to create a tool for identifying similar articles on COVID-19 and filtering them based on their titles. These articles are classified by applying three data mining techniques, namely, random forest (RF), decision tree (DT) and bagging. By using this tool, specialists can limit the number of articles they need to study and pre-process these articles via data framing, tokenisation, normalisation and term frequency-inverse document frequency. Given its 2D nature, the dimensionality of this dataset is reduced by applying t-SNE. The aforementioned data mining techniques are then cross validated to test the accuracy, precision and recall performance of the proposed tool. Results show that the proposed tool effectively extracts the keywords for each cluster, with RF, DT and bagging achieving optimal accuracies of 98.267%, 97.633% and 97.833%, respectively.
Working memory enhancement during early childhood based on the utilization of interactive gesture game-based learning technique D. Lakshmi; Ponnusamy Ponnusamy
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 2: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i2.pp768-775

Abstract

The use of human computer interaction is considered to be the most culturally and socially meritorious for the learning and playing activities of children. In this paper, a human interaction recognition system (HIRS) that includes gesture game-based learning is investigated for identifying its suitability and applicability in stimulation of working memory and primitive mathematical skills among the children in the early childhood period that ranges from 5 and 8 years.  In the proposed human interaction recognition system, the hand gestures are facilitated by the user for the objective of controlling the computer system based on the information extracted from the user gestures.This proposed research was implemented in three phases using a quasi-experimental design that in turn incorporates pre-test and post-test for investigating the behavior of experimental and control group considered from the respondents. In the first phase, the initial evaluation of the learner’s skill is achieved. The second phase used the developed technology in order to identify diversified parameters in different dimensions that contribute towards the assessment of working memory and primitive mathematical capabilities. Finally, the third phase is responsible for actual evaluation. In the phases of evaluation, four working memory tests such as forward Corsi Blocking-Tapping test, backward Corsi Blocking-Tapping test, Forward Digit Span test and backwardDigit Span test was conducted. In addition, the evaluation was also conducted for assessing primitive mathematical skill of children using TEDI-MATH. The results confirmed that Gesture Interactive Game-Based Learning (GIGL) used by the children exhibited a predominant improvement in the working memory and primitive mathematical skills on par with their usual school activities.
A survey on IoT application layer protocols Harth G. Hamid; Zainab T. Alisa
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 3: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i3.pp1663-1672

Abstract

The constant evolution in internet technology has made. The internet of things (IoT) to be the center of research fields in computer engineering. This review paper discusses the choice of an application layer protocol in an IoT system integration so first, the paper briefly defines the potential protocols. After that, it opens up a comparison between these protocols according to how they manage their overhead and messages which affects traffic management and thus starts the discussion. The main contribution of this work is the simplification of comparison between session layer protocols in the benefit of IoT applications exclusively. IoT system Standards and platforms are being improved constantly. IoT enables application devices to connect and coordinate their tacks, such applications like healthcare, smart home, and industrial automation. Several protocols have been discussed to provide effective communication for resource-limited devices. However, their traffic management is still a field for researches, to find the optimal protocol choice for different situations. The review collects the results of other works that experimentally compared application layer protocols in the IoT environment and presents the graphical and tabular compression. Finally, the conclusion summarize the choice in different applications.
Currency hedging strategy using barrier options in the colombian market Mariana Arango-Franco; Miguel Jiménez-Gómez; Natalia Acevedo-Prins
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1634-1641

Abstract

One of the main problems for the growth of the Colombian market is the short variety of investment instruments found in the local market. In this way, an exchange rate hedging strategy is proposed using exotic options, specifically, barrier-type options. These types of options are not offered in the Colombian market. Monte Carlo simulation is used to determine the effect that the hedging strategy has on currency risk. From the results, it is concluded that the exchange risk is decreased with the hedging strategy because the 5th and 95th percentiles are lower than in the scenario without hedging. Finally, the code that was used to model the barrier options is explained.
Design of dual band slotted reconfigurable antenna using electronic switching circuit Mustafa M. Al-Saeedi; Ahmed A. Hashim; Omer Al-Bayati; Ali Salim Rasheed; Rasool Hasan Finjan
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 1: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i1.pp386-393

Abstract

This paper proposes a dual band reconfigurable microstrip slotted antenna for supporting the wireless local area network (WLAN) and worldwide interoperability for microwave access (WiMAX) applications, providing coverage where both directive and omni-directive radiations are needed. The design consists of a feedline, a ground plane with two slots and two gaps between them to provide the switching capability and a 1.6 mm thick flame retardant 4 (FR4) substrate (dielectric constant Ɛ=4.3, loss tangent δ=0.019), modeling an antenna size of 30x35x1.6 mm3. The EM simulation, which was carried out using the connected speech test (CST) studio suite 2017, generated dual wide bands of 40% (2-3 GHz) with -55 dB of S11 and 24% (5.2-6.6 GHz) higher than its predecessors with lower complexity and -60 dB of S11 in addition to the radiation pattern versatility while maintaining lower power consumption. Moreover, the antenna produced omnidirectional radiation patterns with over than 40% bandwith at 2.4 GHz and directional radiation patterns with 24% bandwith at the 5.8 GHz band. Furthermore, a comprehensive review of previously proposed designs has also been made and compared with current work.
Enhanced Flip-FBMC visible light communication model Abdullah Ali Qasim; Husam Noman Mohammedali; M. F. L. Abdullah; R. Talib; Haidar Zaeer Dhaam
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1783-1793

Abstract

VLC technology is one of the most promising technologies in the generations of communications, especially 5G after the significant development of optical semiconductors, specific laser diode, and the use of FBMC modulation in the system. DCO-FBMC modulation surpasses all the disadvantages of DCO-OFDM modulation techniques, as it is characterized by high speed and large bandwidth, but this technique consumes high energy when converting a real bipolar signal into a positive unipolar by adding DC-bias. Besides the challenge of illumination distribution indoor typical room, where the drop of the illumination appears in the middle of the room, besides the power consumption. The Flip-FBMC technique was proposed to solve this challenge, which helps convert the bipolar signal into unipolar by separating the positive part from the negative part and converting it into positive and merging it using Multiplexer and then sending the signal. Besides this, the authors presented in this paper a new lighting model with 5 luminescent units, using LD instead of LED. The Flip-FBMC profile gave better energy savings and BER performance than DCO-FBMC, besides a lighting model that covers dark areas and gives high SNR for the blind area and give save power 13.14% from consumed power.
Decision support system on quality assessment of the prospective civil servant’s education and training using fuzzy method Aris Susanto; Omar Wahid; Hazriani Hazriani; Yuyun Yuyun
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 1: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i1.pp519-529

Abstract

This study aims to develop a decision support system using the fuzzy method in order to assess the quality of education and training of prospective civil servants and highlight possible improvement considerations. The assessment consists of six criterias, namely coaches, lecturers, preachers, mentors, examiners, and administrators. Based on the evaluation result of the quality level of each criterion, it is obtained that the top two criterion are examiners and preachers, followed by coaches, lecturers, advisors, and the lowest is organizer. In addition, the quality of the civil servant class III training is better than the class II civil servant training. It also shows that the value of the organizers criterion has different level of satisfactions. Overall, the quality of the training (according to the participants' opinion) was very good with a score of 92.50 for training class II and 95.20 for training class III. Furthermore, it is necessary to conduct research to determine the quality of the training each year by looking at the achievements of the participants. The >system testing obtained an accuracy of 100%, whichs implies that the system can be used to assess the quality of education and training appropriately.
The solution to improve information security for IoT networks by combining lightweight encryption protocols Nguyen Van Tanh; Ngo Quang Tri; Mai Manh Trung
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1727-1735

Abstract

With the strong development of Internet platforms today, many new technologies are applied in most areas of human social life. The development of the internet of things (IoT) has brought to the networking world many innovations with new protocols. Along with that is the complexity of security issues that greatly affect personal data, and limited resources in information technology development and applications. Many security solutions have been researched but none of them is completely effective for the IoT network because of the characteristics of energy, limited resources, processing capacity as well as operating costs. Therefore, we propose an effective solution for comprehensive protection of IoT systems against attacks to network security with improved security protocols. By combining security solutions on the layers of the IoT and code improvement, algorithmic enhancement positively contributes to this important task. In the article, we propose to improve and combine the DTLS Protocol and the overhearing mechanism and then have some experiments to prove the effectiveness, feasibility, economical and appropriate on popular IoT network models.

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