Proceeding of the Electrical Engineering Computer Science and Informatics
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Optimization of Modified Sliding Mode Control for an Electro-Hydraulic Actuator System with Mismatched Disturbance
Get PDFThis paper presents a modified sliding mode controller (MSMC) for tracking purpose of electro-hydraulic actuator system with mismatched disturbance. The main contribution of this study is in attempting to find the optimal tuning of sliding surface parameters in the MSMC using a hybrid algorithm of particle swarm optimization (PSO) and gravitational search algorithms (GSA), in order to produce the best system performance and reduce the chattering effects. In this regard, Sum square error (SSE) has been used as the objective function of the hybrid algorithm. The performance was evaluated based on the tracking error identified between reference input and the system output. In addition, the efficiency of the designed controller was verified within a simulation environment under various values of external disturbances. Upon drawing a comparison of PSOGSA with PSO and GSA alone, it was learnt that the proposed controller MSMC, which had been integrated with PSOGSA was capable of performing more efficiently in trajectory control and was able to reduce the chattering effects of MSMC significantly compared to MSMC-PSO and MSMC-GSA, respectively when the highest external disturbance, 10500N being injected into the system's actuator
Aspect-Based Sentiment Analysis Approach with CNN
Get PDFLots of research has been done on the domain of Sentiment Analysis, for example, research that conducted by Bing Liu's (2012) [1]. Other research conducted in a SemEval competition, the domain of sentiment analysis research has been developed further up to the aspect or commonly called Aspect Based Sentiment Analysis (ABSA) [2]. The domain problem of Aspect Based Sentiment Analysis (ABSA) from SemEval is quite diverse, all of those problems arise mostly from the real data provided. Some existing problems include Implicit, Multi-label, Out Of Vocabulary (OOV), Expression extraction, and the detection of aspects and polarities. This research only focuses on classification aspect and classification of sentiment. This study uses an existing method of Convolution Neural Network (CNN) method, which was introduced again by Alex K. The study by Alex K reduces the error rate by 15%, compared in the previous year the decrease was only 5%. This research would like to propose CNN methods that have been optimized, and use Threshold (CNN-T) to select the best data in training data. This method can produce more than one aspect using one data test. The average result of this experiment using CNN-T got better F-Measure compared to CNN and 3 classic Machine Learning method, i.e. SVM, Naive Bayes, and KNN. The overall F1 score of CNN-T is 0.71, which is greater than the other comparable methods
User Experience Analysis of the Users Babacucu.Com
Get PDFThe Internet has made sharing information easier. By extension, it has also made sharing things easier. The problem is gauging the user experience of free E-commerce websites such as Babacucu.com to see whether people are interested to visit it or not. One of the elements of user experience is usability, that will be measured in this research. The methods used to measure the usability are questionnaires and usability testing with the users of Babacucu as subjects. The results of this study are the level of usability of Babacucu.com and recommendations on how to improve the site's usability
Modified Backward Chaining Android Application to Diagnose Psychoneurosis and Psychosomatic Disorder
Get PDFStress, depression, mental illness are serious problems but the most often overlooked problems. Ironically, the number of mental problems is greater than health services. The purpose of this study is to develop a system consisting of Admin Webpage and Android Application which analyze mental illness with artificial intelligence that can diagnose and carry out therapy for people with mental disorders which has the types of psychoneurosis and psychosomatic disorders. This research used the methodology of Modified Backward Chaining which works backward towards the initial condition of the patient. Moreover, the system used the Expert System as reference data from the expert, in this case, psychologist. Results could be diagnosed via smartphone by a doctor or expert so they could provide faster and easier treatment in accordance with the application of this Psychological PPD (Psychoneurosis and Psychosomatic Disorders). Finally, the application was successfully implemented to give diagnoses and treatments. The system's ability to deal with mental illness was carried out at Raden Mataher General Hospital, Jambi, Indonesia. This study consisted of 21 respondents consisting of 13 men and 8 women. The result showed that the application was tested Usability Testing which had score 4.22 of 5
Genetic Algorithm With Random Crossover and Dynamic Mutation on Bin Packing Problem
Get PDFBin Packing Problem (BPP) is a problem that aims to minimize the number of container usage by maximizing its contents. BPP can be applied to a case, such as maximizing the printing of a number of stickers on a sheet of paper of a certain size. Genetic Algorithm is one way to overcome BPP problems. Examples of the use of a combination of BPP and Genetic Algorithms are applied to printed paper in Digital Printing companies. Genetic Algorithms adopt evolutionary characteristics, such as selection, crossover and mutation. Repeatedly, Genetic Algorithms produce individuals who represent solutions. However, this algorithm often does not achieve maximum results because it is trapped in a local search and a case of premature convergence. The best results obtained are not comprehensive, so it is necessary to modify the parameters to improve this condition. Random Crossover and Dynamic Mutation were chosen to improve the performance of Genetic Algorithms. With this application, the performance of the Genetic Algorithm in the case of BPP can overcome premature convergence and maximize the allocation of printing and the use of paper. The test results show that an average of 99 stickers can be loaded on A3 + size paper and the best generation is obtained on average in the 21st generation and the remaining space is 3,500mm2
MPPT System Using Incremental Conductance for Solar Cell in Normal and Partial Shading Conditions
Get PDFIn this research, MPPT (maximumpower point tracking) system has been created onsolar cells to get maximum power from solar cells.The designed system consists of 200 watt solar cells,voltage sensors, current sensors, microcontroller, DCDCconverter,andresistiveloads.TheMPPTsystem created uses incremental conductance algorithm toset the switching duty cycle on the DC-DC converter,with input parameters in the form of ΔV and ΔI toproduce maximum power. This system is tested onsolar cells with normal or partial shading conditionsand under conditions of shadow-covered solar cells of8%, 16%, 30%, 41% and 50% with a load of 10 Ohm,25 Ohm, and 35 Ohm. The results obtained that theMPPT system can stabilize the output power of solarcells both under normal and shadow conditions andare able to maintain output power when there is achange in input power with the maximum efficiencyof the MPPT system at a load of 10 Ohm of 78,38%with a standard deviation at the input power of 12,68and standard deviation at output power of 7,74.Maximum efficiency at 25 Ohm load of 80,23% withstandard deviation at input power of 3,59 andstandard deviation at output power of 2,90.Maximum efficiency at 35 Ohm load is 82,7% withstandard deviation at input power of 4,14 andstandard deviation at output power of 3,29
Optimal Power Flow using Fuzzy-Firefly Algorithm
Get PDFDevelopment of Metaheuristic Algorithm in engineering problems grows really fast. This algorithm is commonly used in optimization problems. One of the metaheuristic algorithms is called Firefly Algorithm (FA). Firefly Algorithm is a nature-inspired algorithm that is derived from the characteristic of fireflies. Firefly Algorithm can be used to solve optimal power flow (OPF) problem in power system. To get the best performance, firefly algorithm can be combined with fuzzy logic. This research presents the application of hybrid fuzzy logic and firefly algorithm to solve optimal power flow. The simulation is done using the MATLAB environment. The simulations show that by using the fuzzy-firefly algorithm, the power losses, as well as the total cost, can be reduced significantly
Learning Motivation increased due to a Relaxed Assessment in a Competitivee-Learning Environment
Get PDFIn this work, e-learning is used to increase learners 'motivation and competence in addition to learning complementary environment. This work is based on of the 7-years of hybrid e-learning classes on Operating System, Computer Network, Network Security, Network Management subjects at 3 Indonesian universities, namely, Surya University, STKIP Surya, and IBI Darmajaya. Most of STKIP Surya's students are from Papua and need more attention and motivation than others. Relaxed assessment processes are performed on each module in addition to mid term and final exams. On average, there are 12-18 modules in each subject matter. To motivate the learners, they may perform as many exams as ones' wish to attained the highest possible mark within the semester on all exams and quizzes. Relaxed assessment processes to attained maximum grades seems to increase the learners' motivation as some learners' retrying in exceeding 50 times for the 100 questions final shown in the Level of Competency (LoC) measurement. In addition, to anticipate, any cheating, eliminate remedial and cost savings, all exams are done on moodle via web. Such method of a whole semester relaxed assessment equipped with about 2000-6000 questions bank per subject and is for the first time performed in Indonesia. This study is also found an increase in the majority of learner's understanding on the subject is very good without remedial. Thus, e-learning seems not only complement learning processes but also able to motivate and to improve the competence of learners as well creating healthy competitive environment among learners
Comparison Between A* And Obstacle Tracing Pathfinding In Gridless Isometric Game
Get PDFThe pathfinding algorithms have commonly used in video games. City 2.5 is an isometric grid-less game which already implements pathfinding algorithms. However, current pathfinding algorithm unable to produce optimal route when it comes to custom shape or concave collider. This research uses A* and a method to choose the start and end node to produce an optimal route. The virtual grid node is generated to make A* works on the grid-less environment. The test results show that A* be able to produce the shortest route in concave or custom obstacles scenarios, but not on the obstacle-less scenarios and tight gap obstacles scenarios
Factors Affecting Users' Purchase Intention and Attitudes towards Mobile Advertising
Get PDFThe growing number of mobile users encourages companies to take advantage of these opportunities to improve their marketing strategy. One of the marketing strategies that can be done through mobile devices is mobile advertising. However, the problem is that many users still consider mobile advertising as spam and many companies do not know how to start mobile advertising. While to start mobile advertising, must first understand the attitude of mobile users themselves. Therefore, this study aims to analyze the factors that can affecting Tokopedia application user's attitude to mobile advertising seen from affective and cognitive side. Additionally, this study aims to analyze the impact of mobile advertising on purchase intention of users to purchase products or services offered through mobile advertising. This research uses quantitative approach which is done by collecting respond from 565 Tokopedia application user's. The data is then analyzed using CB-SEM method using AMOS 21. Based on the results of analysis, the writers found that perceived ease of use, perceived usefulness, positive emotions, and negative emotions affect the user's attitude towards mobile advertising. Next, attitude also has an effect on user's purchase intention on advertised products or services