Journal of Telematics and Informatics
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Evaluation of Student Admission System Using Expressing, Emotions And Experiences (3E) Method
No full textAdmission website or well-known as PMB in University of Muhammadiyah Malang is used by millions of people every year. The accessibility of the website for mobile platform should be elevated to meet the standard of modern website by taking note of User Experience (UX) aspect. This study aims to evaluate the prototype of admission website for mobile platform using Expressing, Emotions and Experiences (3E) method. 3E is a self-report method allowing both pictorial and verbal reporting. A set of questionnaires in a form of a paper with human body sketch and a box dialog are compiled and distributed to respondents. The result shows that the prototype has 60% positive responds
Beef Quality Classification based on Texture and Color Features using SVM Classifier
Get PDFBeef quality can be examined visually by observing the beef color or texture using human eyes. This manual method is very simple yet very subjective because of differences in knowledge about fresh or defective beef characteristics and differences in accuracy. Therefore, a system that can automatically classify beef quality whether it is still fresh or already defective is needed. In this research, we developed a system that can classify beef quality based on its color and texture features using Support Vector Machines classifier. Statistical approach and Gray Level Co-Occurrence Matrix (GLCM) methods were used for the feature extraction process. The total of data used in this research was 480 images, divided into training and testing datasets. The highest accuracy was 97% for cold beef when the system was tested using color features of HSI color space
Determinants Influence The Adoption of M-Commerce in Indonesia : An Empirical Study
No full textThe use of the internet for shopping has been developing increasingly rapid. In 2014 the number of internet users shows numbers 88.1 millions of users. Along with the presence of mobile devices that provide convenience for consumers to access the online sales sites, users who access either using cellular phones to dominate with a percentage of the amount of 85%. M-Commerce provides products and services through mobile devices in the enterprise and improvement of influencing signifkan more specific help companies and also customers, in terms of buying and selling activity. The rate of adoption of M-Commerce has been in developing countries are already good enough. This study focuses on the theoretical grounding against the factors that influence the adoption of M-Commerce. The study used a literature review for identify the various factors that affect the utilization of M-Commerce by consumers. This research takes the case studies in Indonesia as one of the developing countries. The results of this research will provide feedback to companies that adopt M-Commerce to formulate a marketing strategy and developing the appropriate applicatio
Neuron Model for Input Uncertainty
No full textThe application of the Neuron Network model has not given optimal results on learning with input values that are not binary, uncertain and varied. Variable inputs are not only 1 and 0 but allow between 0 and 1. and linguistic input and output and non-linear models. And the verification process for reviewing feasibility is reviewed from network, unit, behavior and procedural aspects. Further validation is done on the control module of the waterwheel rotation with dissolved oxygen input, water pH, salinity and water temperature varies. With such neuron models being the solution to varied and uncertain neuron models. The simulation is done withMatrix Laboratory software. Keywords: Neuron, Uncertainty, Waterwheel
Short Messaging System Based Security Box using Arduino and GSM Module
Get PDFNowadays security is a vital issue in our day to day life. In the current world, crime becomes increasing and people want to secure their asset at their house. In this situation, an owner wants an advance technology so that he doesn’t worry about the assets when he doesn’t present in his house. Using wireless technologies and a good user-friendly interface make the home safety system more attractive. This paper deliberates a simple but very effective technique which will be applied to home security. SMS (Short Messaging System) based security box reduce the rate of the crime and secure our assets. The box is designed in such a way that when someone except the owner opens the box it will send an SMS to the owner mobile using the GSM (Global System for Mobile Communication) module. Main motive about this paper is to make a low-cost security box but its benefit will be high
EMG Signal Recognition of Gait Pattern Using Back Propagation Neural Network for Stroke Disease Rehabilitation
Get PDFElectromyography (EMG) is the electrical activity obtained from muscles activity. Gait pattern of leg muscles will be measured and recognized by EMG signals. The EMG signal on the leg muscles is measured by six electrodes which are filtered with 0.33Hz high pass filter (HPF) and a low pass filter (LPF) for anti aliasing. Maximum frequency of EMG is 600 Hz, that sampled perfectly by Analog to Digital Converter (ADC) using 2 KHz. Artificial Neural Networks (ANN) algorithm is applied to obtain the accuracy and optimization of EMG signal. The performance of the results are investigates based on two type of human condition, first is healthy person and second is severe person. The combination of EMG measurements with ANN has gives better results compares than without an ANN model. The results showed that the measurement for healthy individuals during normal walking conditions was 4.56 volts with a frequency of 0,00582Hz; the measurement of stroke patients which walking at normal speed is 8.80 volts and the frequency is 1,231Hz. Therefore, proposed prototype that combined using ANN algorithm has increased capability of measurement of EMG signal for normal and severe humans models. Keywords : EMG, ANN, Gai
Analysis of Mobile Credit Semester (KRS) Using Emotion Sampling Device (ESD)
No full textEmotion Sampling Device (ESD) is a method used to evaluate the effects of a digital product such as an existing system on a smartphone against the user's emotions. Sometimes when we use a system we unconsciously give an emotion to it. The emotions of each user are divided into some common emotions such as happy, sad, shocked, scared, angry and uninterested. Using this method, the researcher aims to analyze the user's emotion against prototype or KRS Mobile design with KRS case study that exist in University of Muhammadiyah Malang. With a new and different look from KRS that existed previously at the University of Muhammadiyah Malang allows its users to give their own emotions to the prototype. In analyzing emotions, researchers adapted a toeri from the psychological side of Appraisal Theory to obtain data from questionnaires on respondents. The result of this research is the percentage of emotion from each respondent that will be made proving that the prototype is feasible or not to be applied.Keywords: Emotion Sampling Device, KRS Mobile, Prototype, Appraisal Theor
Determination of Exposure Factors and Interlock System Base On Fuzzy Logic In X-Ray Conventional Generator
Get PDFOne of the utilization of x-Ray on medical area is radiogram. Result of the radiogram can determine patient diagnosis of disease. More clearly the result of imaging, can bring pecise and accurate diagnosis. To solve that problem, we need to calculate distance between X-Ray tube and object, type of film, screen kaset, and also situation or condition of body weight either mature, child or infant to determine exposure factors. Exposure factors is kilovolt, miliampere and time. That exposure factors means electrical load toward X-Ray tube to produce radiant intensity. Interlock system is used to prevent useless generation of X-Ray and doesn’t produce diagnostic value. In this research using fuzzy logic to determine exposure factors on thorax examination which is implemented in software by using pre-defined reference data. By input distance, body weight, body height in software will be obtained appropriate exposure factors setting for radiografer. By determining the focus distance of the appropriate (valid) film, then the fuzzy logic system can build an interlock system that will prevent the useless x-rays. The results showed that data taken from a radiographer in a local hospital in Semarang compared with the output of exposure factor software was appropriate and when interlock system is activated the fuzzy control system can prevent the generation of x-ray
A Participatory Sensor System for Monitoring Chem and Particulate from Peat Forest Fire
No full textWe have developed a low-cost participatory monitoring system for wildfire in peatland, that enables air pollutan referential parameters measurements based on a multilayer distributed parameter model with a Wido IoT platform. This is an Internet of Things (IoT) application, of which a physical object is embedded with electronics, software, sensors and GSM connectivity to allow monitoring participatory system (CO, CO2, PM10) on real-time based on cloud systems In this paper proposes a low-cost, rapid-deployment and energy-autonomous solution based on Wido IoT to improve the assessment and the understanding of air quality in developing monitoring peatland areas, thus helping policy makers and scientists to better handle air pollution. The proposal incorporates the use of a website to display collected data and processed information to empower citizens with knowledge about the air they breathe
Minimization of Real Power Loss and Augmentation of Static Voltage Stability Margin by Enhanced Algorithm
Get PDFThis paper presents a new Enhanced African Wild Dog Algorithm (EAWDA) for solving the multi-objective reactive power dispatch problem.Inspired by Basic African wild dog algorithm (AWDA), this paper progresses by adding rounding up behaviours of wild dog, The proposed (EAWDA) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the noble performance of the projected algorithm