Journal of Informatics And Telecommunication Engineering
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Analysis Role of Digital Marketing and Self Image Improving Student Self Presentation in Batam Using Instagram
Get PDFNowadays Students often use social media as a tool to communicate and search for a lot of information, social media can also influence changes in the self-image of students shared on social media. This study aims to determine the large social media users of Instagram among students, to analyze Instagram social media as a tool used by students in self-development and self-image, to know the importance of digital marketing in shaping student self-image, analyzing the development of students' Self Presentations, knowing how large students in showing self-image using Instagram social media, knowing the importance of Self Presentation within the university. This study uses variables namely digital marketing, and Self Image as independent variables, Self Presentation as the dependent variable. The target respondents of this study were all university students in the city of Batam by using a sample of 392 students. This research concluded that self image plays a role in shaping student self-appearance because students try to look neat and attractive when uploading videos on Instagram Stories about themselves, wanting to look good in photos or videos, so users can display a good image and other Instagram users who see can give good comments as well.Keywords: Social Media, Instagram, Digital Marketing, Self Image, Self Presentation
Analysis of Face Recognition Algorithm: Dlib and OpenCV
Get PDFIn face recognition there are two commonly used open-source libraries namely Dlib and OpenCV. Analysis of facial recognition algorithms is needed as reference for software developers who want to implement facial recognition features into an application program. From Dlib algorithm to be analyzed is CNN and HoG, from OpenCV algorithm is DNN and HAAR Cascades. These four algorithms are analyzed in terms of speed and accuracy. The same image dataset will be used to test, along with some actual images to get a more general analysis of how algorithm will appear in real life scenarios. The programming language used for face recognition algorithms is Python. The image dataset will come from LFW (Labeled Faces in the Wild), and AT&T, both of which are available and ready to be downloaded from the internet. Pictures of people around the UIB (Batam International University) is used for actual images dataset. HoG algorithm is fastest in speed test (0.011 seconds / image), but the accuracy rate is lower (FRR = 27.27%, FAR = 0%). DNN algorithm is the highest in level of accuracy (FRR = 11.69%, FAR = 2.6%) but the lowest speed (0.119 seconds / picture). There is no best algorithm, each algorithm has advantages and disadvantages.Keywords: Python, Face Recognition, Analysis, Speed, Accuracy
Face Recognition System to RPA Software Design and Implementation
Get PDFThe purpose of this research is to build a face recognition system, and implement it into an RPA (Robotic Process Automation) software to expand automation capabilities. The system is built using the Python programming language. The face recognition algorithm that is used is an open-source library that has been pre-trained and developed beforehand along with a library called OpenCV. The client side of the system is desktop based, and requires a stable internet connection. Users of the system are able to register faces into the system, and then later detect and extract information from them using only images of faces with an average speed of 500 ms for every frame, with an accuracy of ~98% with tolerance set at the default value of 0.6. The system is also capable of automatically registering any new faces that it encounters
Model Classification Of Nominal Value And The Original Of IDR Money By Applying Evolutionary Neural Network
Get PDFIndonesian Rupiah (IDR) banknotes have unique characteristics that distinguish them from one another, both in the form of numbers, zeros and background images. This pattern of each type of banknote will be modeled in order to test the nominal value and authenticity of IDR, so as to be able to distinguish not only IDR banknotes but also other denominations. Evolutionary Neural Network is the development of the concept of evolution to get a neural network (NN) using genetic algorithms (GA). In this paper the application of evolutionary neural networks with less input is able to have a better success rate in object recognition, because the parameters for producing neural networks are far bette
Implementation of Augmented Reality for Earth Layer Structure on Android Based as a Learning Media
Get PDFImplementation of Augmented Reality for Earth Layer Structure on Android Based as A Learning Media isa research that aims to help in presenting material to Elementary School children. The research methodchosen in the completion of this study uses the 4D method (Define, Design, Develop and Disseminate) witha data collecting method using Technology Acceptance Model (TAM) built one construct with threedimensions of user assessment level of technology acceptance to support the basis of questionnaire design.AR design supported by 3D models, in order to be able to support the details of each explanation of thematerial contained, thus helping users to understand the material and ease of interaction on the media.The final result obtained in this research is that the application is stated to be able to help the school, it is used as a media display in the classroom so students do not need to imagine themselves, but simply byusing learning media is able to present the material to students.Keywords: Learning Media, 4D Method, User Acceptance Test, Augmented reality, Android
Analysis of the classification of terrorist attacks in Indonesia
Get PDFTerrorist attacks are now being global issue both in developing and developed countries. There are more than 180,000 terrorist attacks in 1970-2017. Indonesia is one of the countries attacked by terorist. Bombings and firearms cause fatalities. Classification of terorist attacks can be performed based on either the attack succed or not. Succed attack is defined as an unavoided action that caused fatalities. There are seven attributes studied in this paper: year, month, attack type, terorist name, target attack, city, and weapon type uses to attack. Evaluations shows that k-NN classiefier exerts the highest accuracy of 90.79%, followed by naïve bayes 80.45%, and C4.5 of 88.825%.Keywords: Indonesia Terrorist, Classification Algorithm, Terorist Algorithm Classification
Calculation Application for Subnetting IPv4 Address on Android
Get PDFCalculation of subnetting IP Address manually is quite time consuming and difficult for people who are just learning. With current smartphone technology, especially those using the Android operating system. There are many things that can be done with smartphones nowadays, including studying subnetting IP address calculations. The purpose of this study is to design and build a mobile application to facilitate the study of subnetting IP Address calculations with the Android operating system. The research method used is a waterfall with stages of requirements, design, implementation, and testing. This research resulted in a mobile application for calculating IP Address subnetting that will facilitate studying and accelerating the calculation of IP Address subnetting. This application is able to search for subnet masks, number of subnets, number of hosts per subnet, IP broadcast, IP range, network ID, and there is a theoretical explanation of the IP Address, prefix, and range of each class of IP Address. The results of the study are indicated by the level of eligibility of this application based on a questionnaire from users with results, 41% strongly agree, 44% agree, 13% neutral, and 2% disagree.Keywords: IP Address, Subneting, Application, Android
Implementation of the Algorithm Fisher Yates Shuffle on Game Quiz Environment
Get PDFThe current technological development of science and knowledge can easily be provided through various media. Learning media have become part of the learning and teaching process. In its use these media can be anything such as videos, motion animations, power points, including games. Educational games can be used as learning media in schools so that learning activities can be more interesting and enjoyable. Games made as learning media are certainly not merely entertainment but must contain elements and educational values. The purpose of this research is to make an educational game of natural science where the questions / questions in the quiz section can be scrambled by themselves. The design of the construction of this environmental quiz game uses the method of Multimedia Development Life Cycle (MDLC) and Fisher Yates Shuffle algorithm for randomization of questions. This environmental game contains natural science lessons about the organization of life systems, the interaction of living things with the environment and environmental pollution. Components in this game are in the form of material and quiz games, puzzles and drag and drop. In this study there are 10 questions that will be randomized to each quiz. The result of the implementation of the Fisher Yates Shuffle algorithm in this quiz section is that the quiz questions that come out can be scrambled, so the questions / questions that come out are different and the user does not easily guess the next question.Keywords: Quiz Game, Adobe Flash, Actionscript, Fisher Yates Shuffl
Design of Smart Garden Sprinklers Based on Fuzzy Logic
Get PDFHuman needs for the existence of an automatic equipment that controls every activity becomes a necessity at this time, one of which is on watering plants that are still done manually. Treatment of plants is not optimal. Sometimes plants forget to be watered, so the plants wither quickly because of lack of water. And often watering plants over and over again, ignoring that too much water content in the soil, which causes plants to rot easily. With this controller can be applied to various fields such as home, plantation, and agriculture. The application of automatic watering control can be overcome if there is excess water capacity, here is an alarm as a warning when the weather is rainy, by using a soil moisture sensor to detect water levels on the ground, light sensors to control the tool can only function in the morning and afternoon because if at night watering plants is not good for plant growth that is controlled on an arduino microcontroller, and uses a fuzzy logic method to determine the process parameters of sensor control. The results of testing the tools carried out periodically testing can work in sync based on the parameters applied using the fuzzy logic method.Keywords: Smart garden, sprinklers, fuzzy logic
Indonesian Text Dataset for Determining Sentiment Classification Using Mechine Learning Approach
Get PDFAdvances in information technology encourage the emergence of unlimited textual information with the use of online media developing so rapidly that the emergence of the need for information presentation without reducing the value of the information presented. Basicaly the concept of the dataset is a general form of almost every discipline, where the dataset provides empirical basic information for research activities. Sentiment analysis is done to see opinions or feelings about a problem or identify and classify information trends from the problem. The dataset analysis in determining sentiment classification is a model of sentiment classification that has relevance to the dataset with the use of machine learning techniques with supervision that learns from experience to predict output from labeled input data and output from machine learning. The results of experiments and tests that have been carried out on machine learning techniques with supervision can classify sentiments in the tweet text properly and the level of accuracy can still be improved to a better direction with data namely baseline 100 (days) and 83 (weeks), naivebayes 100 (days) and 82 (weeks), maxent 100 (days) and 83 (weeks), and SVM 100 (days) and 83 (weeks)