Journal of Informatics And Telecommunication Engineering
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Shafiyyatul Amaliyyah School Student Face Absence Using Principal Component Analysis and K – Nearest Neighbor
Get PDFPattern recognition is one of the sciences used to classify things based on quantitative measurements of the main features or properties of an object. Pattern recognition has been widely used in various fields of research. One of the pattern recognition that is often discussed is facial recognition. The face is one of the human biometrics that is often used as the main information of a person. Face recognition is a field of research with many applications in applications such as attendance, population data collection, security systems, and others. The research utilizes feature extraction of PCA (Principal Component Analysis), and K-NN (K – Nearest Neighbor) with variations of the distance formula by applying facial recognition attendance at the Safiatul Amaliyah School. This research is expected to get accurate results in detecting, recognizing, and comparing a person's face with a small error rate. The distance formula with accuracy level is presented with the equation Cityblock < Euclidian < Minkowski < Chebychev. The effect of applying the variation of the distance formula on the performance of the facial attendance recognition model is not too big, but it is better
Implementasi Load Balancing Per address connection ECMP Algoritma Round Roubin Mikrotik Router
Get PDFInternet access is a basic need that must be owned by both individuals and companies because of how important internet access is so that a company can work, in the current digital era, when internet access for a company or individual is experiencing problems, due to the ISP (Internet Service Provider). If the network is down or disconnected, it can be said that all activities will be inefficient, hampered, cannot open email, cannot connect to the central server, even entrepreneurs with orders via online cannot sell, for that when internet access becomes a vital object for companies, it is necessary an internet access or more than one ISP can use two or more ISPs where many methods are used to combine two or more internet accesses into one network that is connected by a local network but a very good method is used to maximize the two or more ISPs a is to use the Load Balancing method using the ECMP round roubin algorithm on the Mikrotik router device so it is hoped that internet access will continue even though one of the ISPs is down or network disturbances
Penerapan Metode Convolution Neural Network (CNN) Pada Aplikasi Automatic Lip Reading
No full textAbstractA Prototype of Automatic Lip-Reading or a prototype of automatic lip-reading is a device that is needed by people with hearing disabilities or the Deaf. The prototype will help people with hearing impairment move independently without depending on others. Advances in Nano technology have driven the development of Computer Vision and software that enables the creation of prototypes of Automatic Lip-Reading. The image processing applied to this prototype is focused on the movement of the lips, tongue, and the area around a person's mouth. Furthermore, the results of the image recognition will compare with the database that has been provided to produce certain words. The prototype design consists of a camera, Python with Tensorflow used as an image processing programming language with the Convolutional Neural Network (CNN) method as an image recognition method, and Machine Learning Technology used as processing and decision-making systems. This study, numbers and alphabets were used as trials or predictions of the Automated Lip-Reading system. By using CNN and Machine Learning methods, the test results show that in general, the system designed can predict numbers and alphabet with not quite high or less than 35%. Â Â
Design of 2x2 Wide Bandwidth MIMO Antenna For LTE And 5G Sub-6GHz
Get PDFIn this study, the design of a 2X2 MIMO microstrip antenna was proposed for LTE and 5G Sub-6GHz applications. The antenna is designed to have a wide bandwidth operating in the frequency range of 2300 MHz to 3600 MHz. The antenna material uses FR4 substrate which has a dielectric constant of 4.6 and a thickness of 1.6 mm. To achieve a wide bandwidth, the ground length is cut. Meanwhile, to achieve the resonant frequency using the square slot method on the radiator element. Antenna design begins with designing a single element shape, then designing a 2x2 MIMO antenna. The results of the MIMO2x2 antenna simulation show that the reflection coefficient and isolation coefficient of each antenna are below -10 dB. The results of the reflection coefficient of each antenna show that the bandwidth achieved is more than 2 GHz. At a frequency of 2300 MHz, the lowest gain is 2.98 dBi, while the highest gain is 3.10 dBi. The lowest and highest gains at a frequency of 3600 MHz are 3.83 dBi and 3.87 dBi. Overall, this antenna has achieved the desired goal, which is to have a wide bandwidth and be able to operate on LTE and 5G applications
Self Services And Monitoring Of Weak Heart Disease Based On The Internet Of Things And Mobile App Using Certainty Factor
Get PDFHeart disease can be suffered by anyone regardless of age and gender. Heart disease can be caused by many things, such as unhealthy lifestyles (smoking), as well as heredity. Low self-awareness of someone with weak heart disease to monitor their heart health regularly. To diagnose weak heart disease, this system uses the Certainy Factor method. With this method, patients can find out the results of the decision whether the patient is at risk of developing weak heart disease or heart health conditions in normal circumstances. This method can provide comparative results (and decision results) of several parameters (tested), one of which is the heart rate parameter. Therefore, the authors build a mobile application system with the concept of service and monitoring of weak heart disease named "iHeart". With this application, patients can monitor and detect weak heart disease and use various features (features) contained in the application. One of the iHeart application facilities is the GUI Chart for heart rate monitoring. This application can also accommodate the patient's heart rate history data into a database as a data storage medium. This application system uses IoT technology, which makes it easy for users or patients and practitioners to see the results of a heartbeat to find out whether a patient has a weak heart or not, in real-time via a smartphone (smartphone) without interfering with patient mobility
Systematic Literature Review of Critical Success Factors in Online Advertising
Get PDFOnline Digital advertising is one method that is increasingly popular in the era of digital transformation that is currently underway. This causes companies to compete in developing digital business strategies, especially in terms of marketing. Online advertising aims to be effective in a cost-effective manner to effectively reach the intended target market segments. Previously, there had been a lot of research on online advertising that could help research or companies in developing their marketing strategies. It is necessary to review the literature on online advertising from these previous studies so that information is classified and categorized systematically. This study aims to provide information by conducting a Systematic Literature Review (SLR) on the latest research on online advertising from 2015 to 2020 in order to find out online advertising indicators that are still relevant and objective to achieve marketing strategy goals. Systematic Literature Review (SLR) approach which includes research questions, journal sources, preparation. Researchers analyzed the factors that determine success in the latest online advertising using the Systematic Literature Review (SLR) method. This research is useful for reviewing academic literature for online advertising research and as a reference for companies in increasing advertising effectiveness as part of a business strategy or marketing advantage in market competition.Â
Identification of Pneumonia using The K-Nearest Neighbors Method using HOG Fitur Feature Extraction
No full textPneumonia is a wet lung disease. Pneumonia is generally caused by viruses, bacteria or fungi. Not infrequently Pneumonia can cause death. The K-Nearest Neighbors method is a classification method that uses the majority value from the closest k value category. At this time people are not too worried about pneumonia because this pneumonia has symptoms like a normal cough. However, fast and accurate information from health experts is also very necessary so that pneumonia symptoms can be recognized early and how to deal with them can also be done faster. In this study, researchers will diagnose pneumonia to obtain information quickly about the symptoms of pneumonia. This information will adopt human knowledge into computers designed to solve the problem of identifying pneumonia. In this study, the K-Nearest Neighbors method will be combined with the HOG Extraction Feature to identify pneumonia more accurately. The KNN classification used is Fine KNN, Cosine KNN, and Cubic KNN. Where will be seen how the value of accuracy, precision, recall, and fi-score. The results showed that the classification could run well on the Fine KKN, Cosine KNN, and Cubic KNN methods. Fine KNN has an accuracy rate of 80.67, Cosine KNN has an accuracy rate of 84,93333, and Cubic KNN has an accuracy rate of 83,13333. Fine KNN has precision, recall and f1-score values of 0.794842, 0.923706, and 0.854442. Cosine KNN has precision, recall and f1-score values of 0.803048, 0.954039, and 0.872056. Cubic KNN has precision, recall and f1-score values of 0.73388, 0.964561, and 0.833555. From the test results, positive and negative identification of pneumonia was found to be more accurate with the Cosine KNN classification which reached 84,93333
ANIMATION INTRODUCTION OF PROFILE OF SMK NEGERI 5 JAYAPURA USING MULTIMEDIA ANIMATION COMPUTACION METHOD
Get PDFAdvances in science and technology can help an institution to support information and promotion, such as creating school profile recognition animations. Sala one vocational secondary in Papua, SMK Negeri 5 Jayapura at this time for the process of introducing school profiles using a website in the form of text so that it would be better if using multimedia components such as animation to clarify school profiles. The purpose of this research is to design animation to help promote SMK Negeri 5 Jayapura to the community to help the school to be able to provide better promotion and service to the community. This animation was created by the multimedia development life cycle (MDLC) development model of Luther Sutopo's multimedia development model which consists of six stages namely Concept, Design, Material Collection, Manufacturing, Testing and Distribution. The software used in the animation process is Blender V 2.79b, Photoshop CS5 and Adobe Audition CS6. The results of the study in the form of animated videos are 6 minutes long and not interactive. The profile creation of SMK Negeri 5 Jayapura has been successfully built to help the school to provide information about SMK Negeri 5 Jayapura, especially the introduction of school profiles to the public
Geographic Information System Mapping Of Criminality Villed Areas In Lhokseumawe Using K-Means Method
Get PDFCrime is a serious problem that can have a wide impact on all levels of society. Every day criminal acts can occur anywhere, especially in big cities, including Lhokseumawe, it is difficult for the community to determine the locations of areas prone to crime and the locations of safe areas. As a solution to the problem, a map of crime-prone areas is needed to show and display the location of these areas. To assist the mapping process of areas prone to crime, a Geographical Information System is needed with criminal data in the form of fraud, theft, gambling, torture and rape obtained from the Lhokseumawe Police, for the classification process of the level of vulnerability of an area the K-Means method is used, and Openstreetmap and QuantumGis are used for mapping of the classification of areas prone to crime. The results of this study are a Geographical Information System which can display the results of an interactive classification of crime-prone areas in the form of a map and can be accessed by related parties to determine the level of crime vulnerability, then from the public's side can find out the location of crime-prone areas in lhokseumawe so that it becomes an initial reference for action anticipation
Image Classification of Autism Spectrum Disorder Children Using Naïve Bayes Method With Hog Feature Extraction
Get PDFAutism Spectrum Disorder (ASD) is a developmental disorder that affects a person's ability to communicate and interact socially. Every year, the number of people diagnosed with Autism Spectrum Disorder rises, necessitating early detection in order to limit the number of people affected and provide proper treatment. As a result, a system was developed in this study to detect Autism Spectrum Disorder in facial photos utilizing versions of the Nave Bayes approach and HoG feature extraction. HoG feature extraction is a local intensity gradient distribution or edge direction perpendicular to the gradient direction without influencing the geometric and photometric transformations, and Nave Bayes is a method that classifies images based on probability. The experimental results of three types of naive Bayes, Bernoulli naive Bayes is the most reliable than Multinomial naive Bayes and Gaussian Naive Bayes. Accuracy, Precision, Recall, and the highest F1-Score using this method, with each value of 89.72%; 90.54%; 89.72%; and 89.9%. The next best performing Gaussian Naive Bayes, the most laborious results were obtained using Naive Bayes multinomials, which had Accuracy, Precision, Recall, and F1-Score of 65.91% each; 68.09%; 65.91%, and 64.19%