Proceeding of the Electrical Engineering Computer Science and Informatics
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Case Based Reasoning Adaptive E-Learning System Based On Visual-Auditory-Kinesthetic Learning Styles
Get PDFCurrent technological developments have reached all fields including education. With the support of technology, teaching and learning activities can increase to a better level. The problem that occurs at this time in improving the quality of education is the difficulty of students to get grades that are in accordance with the Minimum Completeness Criteria, the difficulty of the teacher providing material in accordance with each student's learning style. This study aims to develop adaptive E-Learning to assist teachers in recommending material that is suitable for each student's learning style. This adaptive e-learning adopts a Visual Auditory Kinesthetic (VAK) learning style and to recommend material using the Case Based Reasoning (CBR) method. Student test results after using adaptive E-learning have fulfilled the Teaching Mastery Criteria with an average grade of 85. This suggests that under adaptive E-learning has been able to improve student grades
Comparison of Decision Tree, Naïve Bayes and KNearest Neighbors for Predicting Thesis Graduation
Get PDFThesis is one of the evaluations of learning for students. In Universitas Budi Luhur (UBL), especially in the Informatics Department, the thesis is one of the requirements for graduating students to obtain a Bachelor of Computer degree. In each semester, the number of Informatics Department students who take thesis is around 200-300 students. The problem that is still faced is that student graduation in the thesis is not optimal. Student failures in the thesis are allegedly related to several technical and nontechnical factors. In this study, an analysis using data mining algorithms was carried out to determine the factors that influence student graduation in the thesis. The dataset obtained from the Informatics Department students who took a thesis in the 2016/2017, and 2017/2018. In order to obtain the right classification method, this research was tested with three classification methods, namely Decision Tree, Naïve Bayes, and k-Nearest Neighbors (kNN). The results of the comparison of the values of accuracy, precision, and recall indicate that the kNN algorithm has advantages, so this method is chosen to predict graduation. In this study also developed an application for predicting graduation of students' thesis by applying the kNN classification method. The test results showed an accuracy of 78.20%, precision of 80.32%, and recall of 96.49%. This research is expected to be useful for improving the service quality of student thesi
PID Controller Design for Mobile Robot Using Bat Algorithm with Mutation (BAM)
Get PDFBy definition, a mobile robot is a type of robotthat has capability to move in a certain kind of environmentand generally used to accomplish certain tasks with somedegrees of freedom (DoF). Applications of mobile robots coverboth industrial and domestic area. It may help to reduce risk tohuman being and to the environment. Mobile robot is expectedto operate safely where it must stay away from hazards such asobstacles. Therefore, a controller needs to be designed to makethe system robust and adaptive. In this study, PID controller ischosen to control a mobile robot. PID is considered as simpleyet powerful controller for many kind of applications. Indesigning PID, user needs to set appropriate controller gain toachieve a desired performance of the control system, in termsof time response and its steady state error. Here, anoptimization algorithm called Bat Algorithm with Mutation(BAM) is proposed to optimize the value of PID controller gainfor mobile robot. This algorithm is compared with a wellknownoptimization algorithm, Particle Swarm Optimization(PSO). The result shows that BAM has better performancecompared to PSO in term of overshoot percentage and steadystate error. BAM gives 2.29% of overshoot and 2.94% ofsteady state error. Meanwhile, PSO gives 3.07% of overshootand 3.72% of steady state error
Robust PID Control Design in CPS-based Batch Distillation Column
Get PDFInterconnected system between computationand physical process (Cyber-Physical Systems) has been widelyused in industrial processes. In CPS-based industrial process,sensors, controllers, and actuators are connected into acommunication network. The communication network mayintroduce delay time uncertainties due to shared resources andload traffic in the network. Furthermore, the nonlinear timevaryingcharacteristic of batch distillation column may causesanother uncertainties to take into account in control systemdesign. Parameter model and delay process uncertainty isintroduced due to linearized system approximation thatunmodeled high-frequency dynamics. The dynamicuncertainty on both I/O channel are also introduced to thesystem uncertainty. In this paper, robust PI and PID controllerusing AMIGO method with appropriate weighting function isdesigned to guarantee robust stability spesification of batchdistillation column. The impact of system uncertainties toclosed-loop system performances such as peak overshoot andintegral error is investigated. MATLAB/Simulink simulationis used to validate the methods before its implementation inCPS-based batch distillation column. Based on simulation, theproposed robust PI/PID controller can guarantee robuststability of system compared to conventional PID controller.Furthermore, the robust PI/PID controller can improve closedloopsystem performances compared to conventional PID
A Real-Time Visible Light Communication System on Chip Design for High Speed Wireless Communication
Get PDFThe increasing demand of wireless communication bandwidth due to advancement of IoT and smartphone technology, requires the new wireless communication technology that can provide high speed wireless communication. The Visible Light Communication (VLC) has been proven can provide multi gigabit wireless communication throughput using unlicensed visible light spectrum. Therefore, VLC is a promising technology to solve bandwidth limitation problem. In order to achieve high speed throughput, VLC signal processing has to be implemented using Application Specific Integrated Circuits (ASICs) technology. In this research, we develop a baseband processor architecture for VLC application. We use System on Chip (SoC) design approach to reduce design time and easy system integration to various applications. In order to increase spectrum efficiency, we utilize OFDM modulation scheme. Several OFDM processing blocks, such as synchronizer, FFT/IFFT, modulator, demodulator, are designed in the system. The real-time system performance is verified in FPGA based system prototyping. The design includes optical wireless front end module, baseband processing and network layer. The developed prototype shows a real-time performance for high speed internet access
Comparison of EEG Pattern Recognition of Motor Imagery for Finger Movement Classification
Get PDFThe detection of a hand movement beforehand can be a beneficent tool to control a prosthetic hand for upper extremity rehabilitation. To be able to achieve smooth control, the intention detection is acquired from the human body, especially from brain signal or electroencephalogram (EEG) signal. However, many constraints hamper the development of this brain-computer interface (BCI, especially for finger movement detection). Most of the researchers have focused on the detection of the left and right-hand movement. This article presents the comparison of various pattern recognition method for recognizing five individual finger movements, i.e., the thumb, index, middle, ring, and pinky finger movements. The EEG pattern recognition utilized common spatial pattern (CSP) for feature extraction. As for the classifier, four classifiers, i.e., random forest (RF), support vector machine (SVM), k-nearest neighborhood (kNN), and linear discriminant analysis (LDA) were tested and compared to each other. The experimental results indicated that the EEG pattern recognition with RF achieved the best accuracy of about 54%. Other published publication reported that the classification of the individual finger movement is still challenging and need more efforts to make the best performance
Implementation of MEMS Accelerometer for Velocity-based Seismic Sensor
Get PDFMicro Electro Mechanical System (MEMS) accelerometer is commonly used as acceleration-based vibration sensor. The MEMS accelerometer is small device, simple in the implementation design, and relatively inexpensive. But in some fields of application, due to low frequency operation and also small magnitude of the measured signal, for example in seismology, velocity-based vibration sensor is usually more desirable than acceleration-based sensor. In this research, a velocity-based vibration sensor has been developed using MEMS Accelerometer device e.g. MMA7361L. The acceleration-based vibration signal from the MMA7361L is converted into a velocity-based vibration signal by using an integrator circuit module. This module is assembled by using a band-pass filter and an integral-amplifier. The laboratory test shows that the developed sensor system could detect both low and high-frequency vibration signals in velocity-based with good result. The sensor system has a frequency range of 0.02Hz to 148Hz. It is wider frequency than the geophone (seismic sensor), thus the velocity-based MEMS sensor system has capability for geophone replacement
Development of Mobile Based Educational Game as a Learning Media for Basic Programming in VHS
Get PDFThe purpose of this research is to develop mobile based education game which will be used as the learning media of basic programming for grade X VHS student as well as to know the its eligibility level. The developed education game consists of four basic programming competencies. This learning media is developed using ADDIE model with waterfall model for the flow development. The validation process involved 2 material experts, 1 media expert, and two groups of eligibility testing. The type of data is qualitative and quantitative with the method of data collection is questionnaire. The measurement uses five scale of likert. This study concluded that the developed educational game are valid and eligible to be used as a basic programming learning media
Applying IT Services Business Relationship Management on Security Outsource Company
Get PDFMost outsource security companies have not implemented information technology optimally. A company must implement information technology that is oriented to customers and stakeholders to be competitive. Outsourcing security companies need to apply a systematic approach for managing customer-oriented services. In this study, we implemented business relationship management based on Information Technology Infrastructure Library (ITIL) framework to develop a service strategy, especially for an outsourced security company. There are 5 stages of activities carried out, namely identifying stakeholders, defining business outcomes, establishing strategic and funding requirements, defining business cases, and validating business activity patterns. Verification and revision of customer requirement analysis are performed to validate and evaluate the results. The result of implementing business relationship management is the recommendations of four IT services that suits the organization. The four IT service recommendations are websites, CRM services, monitoring services, and ordering services. Business case documents for each service have been created to identify business impacts and risks
Design and Implementation of the Culinary Recommendation System Using Sentiment Analysis and Simple Adaptive Weighting in Bengkulu, Indonesia
Get PDFIn 2017, the minister of Indonesia tourism stated that everyone who travels spends his time for culinary about 30-40%. The key point in increasing the tourism income; especially from the culinary sector is about how to inform and promote the wealth of Indonesia culinary to all travellers. The information system of Bengkulu tourism has been developed in the previous study. However, that system has not been able to provide the best culinary recommendations to the travellers. This study focuses on designing and implementing the recommendation system of Bengkulu culinary by using sentiment analysis and simple adaptive weighting (SAW). The recommendation offered is based on the user review and criteria as well. The user review will be classified into positive, negativeand neutral reviews by the sentiment analysis method. If the user needs culinary information based on criteria, the system will provide a recommendation and rank of culinary by using simple adaptive weighting. These criteria used are the average price,opening hours, facilities, distance from a central city, and transportation as well. Sentiment analysis method obtains the accuracy of recomendation classification at 79% while the recommendation rank obtained by the SAW method is 90.83%. These results show that the proposed method has a potential for assisting the travellers to gain the best culinary recommendation, especially in the Bengkulu area.