Proceeding of the Electrical Engineering Computer Science and Informatics
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Application of LoRa WAN Sensor and IoT for Environmental Monitoring in Riau Province Indonesia
Get PDFLand and forest fires especially in Riau Province, Indonesia, have affected the length and breadth of Indonesia. The fires are normally hampered by seasonal dry conditions such as El Nino effect. In addition, the haze has affected the neighboring countries such as Malaysia, Singapore and south of Thailand. The effects of haze on human health as reported in that particular year were about 20 million people have suffered from respiratory problems and serious deterioration in overall health. There were other effects on environment, economy, flora and fauna in Southeast Asia region due to this disaster. This research proposes to develop a smart monitoring system using Long Range Wide Area Network (LoRa WAN) with low power wireless data communication and Internet of Things (IoT) technology. With LoRa technology, data can be transmitted up to 30 miles which is worthwhile to cover some of Riau Province that have been badly impacted by this disaster. In this article propose to develop sensors system that capable of detecting land and forest fire. The sensors will be located at several locations that has badly impacted previously. LoRa IoT Technology will be deployed to provide a platform for connecting the sensors. An early indication of land or forest fires is vital for quick prevention before they become uncontrollable and overwhelming. The design and development of LoRa sensors give high feasibility to overcome current issues in Riau Province because of land and forest fire
Computer Aided Model for a Low Voltage Varistor with Increased Thermal Stability
Get PDFMetal Oxide Varistors are a very common power electronic device, applied for efficient overvoltage protection at any voltage level. This piece of equipment has a high non-linear current response function of the applied voltage, and, it provides a relatively high heat absorption capacity in case of accidental overvoltage pulse (shock)s. The crossing response current is clearly activated by temperature of that device, and, by consequent, overheating could be disastrous. Actual researches must be carried out both for a new more performant material as well as for new technical solutions for the design of all equipment integrating them, by studying heat extraction and heat transfer inside a new complex varistor device. Our article proposes a totally new device, used basically for low voltage applications, having a supplementary metal mass added to the body of that varistor, shaped as small disk. It actions like a heat pump immediately after the voltage pulse (shock) and as additional radiators at the end of the heating process caused by a transitory overvoltage. A CAD solution combined with a finite element model, followed by some experimental results are also presented, for confirming the performance of that newly design. By placing additional metal alloy masses inside a new varistor structure it will have a higher heat pumping and dissipation capability, in order to reduce temperature stress and all aging effects
Rotor Speed Control Maximum Power Point Tracking for Small Wind Turbine
Get PDFDue to the change of energy source to renewable energy, the trend of wind turbine is increased in last 5 years. Small Wind Turbine that convert kinetic energy to electric energy needs a rectifier to convert AC to DC. Rectifier used in this paper is active rectifier. Because of its power characteristics, wind turbine needs maximum power point tracking (MPPT) to track its maximum power. This paper shows that by using active rectifier, the algorithm of tracking a maximum power able to be tracked by controlling its rotor angular speed. The simulation result proves that the speed control and MPPT algorithm, perturb and observe, is able to be implemented in various wind speed
A Measurement Framework for Analyze The Influence of Service Quality and Website Quality on User Satisfaction (Case Study: An IT Service in Jember University)
Get PDFThe information system is a set tools to present information that has been managed well in order to make it easy and useful for its users. One indicator of the successful implementation of information system is how the end-user satisfaction. User satisfaction can be measured using user satisfaction methods. This study aims to develop a measurement framework to measure the user satisfaction of IT services. The measurement framework will be developed using 3 (three) basic theories such as Servqual by Parasuraman, Webqual by Barnes and Vidgen, and Information System Succes Model (ISSM) by DeLone and McLean. The model will be applied to a case study that an IT Service called Sistem Informasi Terintegrasi (SISTER) of the Jember University. This measurements using 100 respondents are students as SISTER's users and will be tested using t testing and GAP analysis. Based on the measurement results, the variable service quality has no significant influence on user satisfaction, and another variable is website quality has a significant influence on user satisfaction. Based on GAP analysis, it's found that the average gap value for service quality variable is -1.12, website quality is -1.00, and user satisfaction is -1.00. It means, the service quality that represents the tangible components, reliability, responsiveness, assurance, and emphaty of SISTER's provider according the students perceptions are still not good. In the future, SISTER's provider need to improve the quality of measurement items of indicators of reliability, responsiveness, assurance, and emphaty if they want to increase the user satisfaction of SISTER
Narrow Window Feature Extraction for EEG-Motor Imagery Classification using k-NN and Voting Scheme
Get PDFAchieving consistent accuracy still big challenge in EEG based Motor Imagery classification since the nature of EEG signal is non-stationary, intra-subject and inter-subject dependent. To address this problems, we propose the feature extraction scheme employing statistical measurements in narrow window with channel instantiation approach. In this study, k-Nearest Neighbor is used and a voting scheme as final decision where the most detection in certain class will be a winner. In this channel instantiation scheme, where EEG channel become instance or record, seventeen EEG channels with motor related activity is used to reduce from 118 channels. We investigate five narrow windows combination in the proposed methods, i.e.: one, two, three, four and five windows. BCI competition III Dataset IVa is used to evaluate our proposed methods. Experimental results show that one window with all channel and a combination of five windows with reduced channel outperform all prior research with highest accuracy and lowest standard deviation. This results indicate that our proposed methods achieve consistent accuracy and promising for reliable BCI systems
Sizing Optimization and Operational Strategy of Hres (PV-WT) using Differential Evolution Algorithm
Get PDFThe instability of energy resources and corresponding cost of the system are the main two problems for designing the hybrid solar-wind power generation systems. The configuration of the system must have a high reliability on the power supply availability but with a minimum cost. The purpose of this paper is to find the most optimum or balanced configuration between technical reliability and total annual cost for the PV module number, the wind turbine number, and the battery number. The appropriate strategy of load management is needed by adjusting the potential energy resource to the load power demand. Loss of Power Supply Probability (LPSP) is a method to determine the ratio of power generation unavailability by the system configuration which used as technical analysis. Annualized Cost of System (ACS) is a method to determine the total annualized cost of the project lifetime which used as economic analysis. The result from the simulation showed that the Differential Evolution (DE) algorithm can be an alternative method to find the best configuration with a low number of LPSP and ACS. Since DE has a better efficacy and faster time to find global optimum than other algorithms
Analysis on Customer Satisfaction Dimensions in P2P Accommodation using LDA: A Case Study of Airbnb
No full textCustomer satisfaction becomes a key influencer for people's habits or daily activities. One of the examples is in the decision-making process about whether they will use specific products or services. People often need other's review or rating about what they are going to use or consume. In this research, by using customer's online review that available from Airbnb website, we try to extract what are the most talked factors about peer-to-peer accommodation, and how customer sentiment about them. We use Latent Dirichlet Allocation (LDA) to extract that factors and conduct sentiment analysis by utilizing semantic analyzer from Google Cloud NLP. We analyze which factors that has more effect on customer satisfaction, not only in general but more specific based on customer gender and tourism destination object. The result shows that factors related to social benefit and service quality have impact on customer satisfaction, moreover different customer gender and different tourism object destination bring different sentiment among customer. We also find several factors that can be improved by the owner of the accommodation to improve customer satisfaction toward their services
Adventure Game Show:Audience Involvement, Destination Image and Audience Behavior
Get PDFCurrently the popularity of the show television programs is on the rise. This entertainment program attracts viewers' attention because it is dominated by games and usually involves the physical activity of the participants of the game show competition. The location of the shooting event also varied, including adventure-themed tourism destinations involving natural beauty. This study uses an experimental study to measure the behavior intentions of game show viewers of adventure tours that aired in the program. This study proves that the relationship of audience involvement and behavioral intentions to travel to tourist destinations is mediated by cognitive and affective imagery. In particular, cognitive imagery can be significantly effects affective imagery, and both cause with behavioral intentions. Television media deals with psychological process travel, so it is found that audience involvement leads to audience behavior intentions. Meanwhile, the image of a tourist destination mediates this relationship, the image that gives the perception of the cognitive image and the affective image, so that these two variables are found to be important mediators. Therefore, the management of television programs as media messengers need to focus on creating more positive picture of adventure-themed tourism destinations, which will lead to the formation of positive affective image also to the location. The higher the image of the tourist destination for the viewers will lead to higher travel intentions in the future
Visual Emotion Recognition Using ResNet
Get PDFGiven an image, humans have emotional reactions to it such as happy, fear, disgust, etc. The purpose of this research is to classify images based on human's reaction to them using ResNet deep architecture. The problem is that emotional reaction from humans are subjective, therefore a confidently labelled dataset is difficult to obtain. This research tries to overcome this problem by implementing and analyzing transfer learning from a big dataset such as ImageNet to relatively small visual emotion dataset. Other than that, because emotion is determined by low-level and high-level features, we will make a modification to a pretrained residual network to better utilize low-level and high-level feature to be used in visual emotion recognition. Results show that general (low-level) features and specific (high-level) features obtained from ImageNet object recognition can be well utilized for visual emotion recognition
Combined Computational Intelligence Approach for the Power System Optimization Problem
Get PDFThis paper presents an adoption of a natural phenomenon as Thunderstorm Algorithm (TA) which is applied to solve a problem of the power production composition under various constraints. This work also introduces artificial salmon tracking algorithm (ASTA) for defining the optimal strategy of the power system on the power consumption. Both algorithms are tested on the IEEE-62 bus system as a selected structure for the mathematical cased model. By considering all parameters, results show that ASTA can be applied to predict the power consumption and TA also has good performances while searching the optimal solution. Moreover, the power production can be presented throughout an economic dispatch problem. Technically, this computation demonstrates the optimal solution with fast convergence and short time consumption. These processes also perform smooth and stable characteristics for the searching completion