Reviewerly/exHarmony huggingface dataset:
Analisis Kesulitan Belajar Siswa Kelas VIII D MTsN 5 Jember

Learning difficulties are a disorder of students in learning from speaking, writing, listening, reading, and other abilities. The purpose of this study was to determine the type of learning difficulties and factors that influence student learning difficulties in class VIII D MTsN 5 Jember. This research formulates the problem of what types of difficulties are experienced and the factors that influence student learning difficulties in class VIII D MTsN 5 Jember. The population of this study were all class student in class VIII D MTsN 5 Jember. Data collection techniques using interview method. The results of the study show that there are some chikdren whi still experience difficulties in learning. In this case it is influenced by two factors, namely internal factors and external factors, internal factors that cause children to experience learning difficulties are the lack of interest from the student to learn, while external factors that affect student difficulties in learning can be grouped into three, namely family, school and community environment. From the results of this study it can be concluded that many learning difficulties are experienced by students in class VIII D MTsN 5 Jember caused by several factors that can be classified into two factors, namely internal factors (from within students) and external factors (from outside the student).
Nursing Student Lived Experience in Conducting Research Paper at STIKes Wira Medika Bali

ABSTRACTResearch Paper  is a new experience faced by university students. In making a Research Paper , a student often enduring obstacles such as confusion, long permit of the research issue, difficult to find suitable literature, writing errors that make the preparation of Research Paper  becomes a little hamper. This study aimed to explored the experience of final semester students in making their Research Paper  at STIKES Wira Medika Bali. This study uses a qualitative research method with a descriptive phenomenology approach. Data is conducted by a deep interview with 4 participants which consists of 4 female, aged 22-23 years old from a regular program of S1 Bachelor of Nursing. The results of the interview were analyzed by using Collaizi method (Cresswell 2013). The results of the study obtained 5 themes namely, student comprehension, stundents feeling, obstacles or struggle faced by students, efforts of students and their expectation for making a Research Paper . The results of this theme showed that participants experience obstacles in preparation of final Research Paper  such as errors in writing, literature that is difficult to obtained, long permit of research that causing the preparation of Research Paper  takes a long time. The conclusion of this study conducted 5 themes that is student comprehension, feeling of student, obstacle and  struggle faced by student, effort for making Research Paper  and student expectation in making final Research Paper .Students are expected to overcoming their obstacles when they are making their Research Paper . Keywords : Experience, Obstacle, Research Paper
Library Home / LibGuides: eBooks: EBSCO EBooks

Get you hands on some eBooks! Gwinnett Tech Library - Your Partner in Education Searching EBSCO eBooks
Subject Guides: Library News: Document Delivery & Interlibrary Loan Services

Latest information about Interlibrary loans and Document Delivery services, including contact details.
LibGuides: Educational Tools for Your Classroom: Presentations

This guide offers a list of free resources that can be used by professors in their classrooms and by students when creating their assignments
Method Tracing Using Paint Tool Sai in Learning Arts to Improve 2 Dimensional Works Ability

In the implementation of teaching and learning art, sketch drawing or drawing shapes technique, is used as part of 2-dimensional work. This technique must be mastered to meet the target and learning objectives of teaching and learning art. However, the result of the technique mastery obtained varied, considering that the techniques to be mastered have different characteristics, and must be done manually. The development and role of science and technology is increasing in various sectors, including in the education. The use of tracing method using Paint Tool Sai application is interpreted as a way of drawing creatively-artistically as desired using simple techniques by processing images. The use of modified research and development, of Defining, Collecting Data, Designing, Developing, and Disseminating, is validated. The development of learning innovations in learning strategies through the use of tracing method using Paint Tool Sai is a complementary application that can be realized in the teaching and learning activities in the classroom. It can improve the ability to master the techniques and procedure of drawing on individual character, being more independent and creative, to develop sustainably to achieve the learning objectives optimally.
Pengelolaan Jenjang Karir Karyawan Melalui Aplikasi Web Menggunakan Metode Prototype di Pintex Cirebon

Career path and supervision of employee work performance are the main elements in managing human resources for employees, and as a process that aims to improve the career of the workforce in accordance with their talents and abilities, so that they can function properly and optimally for the company. In managing employee career paths at Pintex, many employees do not meet the qualifications so that it can hamper the development of career paths for employees. Based on these problems in managing career levels of employee performance using the prototype method. Through this method it is expected to facilitate the process of assessing employee performance better and easier. he results of this study, are expected to help and facilitate the management of employee career paths, with the hope of improving employee performance in the company.
Development of OCR-based Applications to Improve Inventory Management

Background/Objectives: Inventory management is essential in today's business. Accurate inventory tracking allows company save their time and money for quick and accurate inventory scanning, we suggest OCR-based inventory management software.Methods/Statistical analysis: The process go through 5 steps: pre-processing, text detection, text classification, text recognition, post-processing. We adopted character-level text detection method instead of word-level's. The annotation of character-level is extracted from word-level's through weakly supervised learning.Findings:  In this way, we experimented with various previous character recognition methods with the same data set to compare performance. Furthermore, we have combined each method, and tested it with various data sets. The results showed generally higher performance than conventional methods. Unlike other image processing tasks that require RGB channels, we have found out gray scaling image in OCR process brings high accuracy of character recognition. You can check this on Table1. We have made the network spatially invariant without data augmentation by using STN(Spatial Transformer Network).Improvements/Applications:  The use of OCR technology has been confined to limited fields such as document translation or license plate recognition due to it's performance. We have improved the accuracy of text recognition by combining the existing OCR methods. Based on our results, we try to increase the use of OCR technology to inventory management system.Keywords:  OCR, Attention, Inventory Management, STN, Text Detection, Text Recognition
Legal Framework on Cyber Terrorism

With more noteworthy use of the PCs and web, there is phenomenal ascent in abuse of the digital world by offenders and hostile to social components in the public eye. Violations these days are progressively endeavoured and submitted with the utilization of web as another medium. Such sort of wrongdoings has been named as 'Cybercrimes'. Psychological warfare fundamentally implies intentionally making loathsomeness or dread in the brains of general society and undermining them by the utilization of weapons or power or by other distinctive methods. This is done in pursue of some irrational religious, political, or budgetary targets. Digital Terrorism has been characterized as the utilization of the internet to make damage and mischief the overall population and aggravate the sway and honesty of the focused on nation.
BU Library: BU Canvas Support & Resources: Getting Started

We've moved to Canvas! This space offers essential updates and important information to help you learn to use it effectively. Check back for more updates.
Implementation paper on Data Privacy and System Security for Banking and Financial Services

Now a day’s online payment gaining popularity because of easy and convenience use of ecommerce. It became very easy mode of payment. People choose online payment and e-shopping; because of time convenience, transport convenience, etc. As the result of huge amount of e-commerce use, there is a vast increment in credit card fraud also. Machine Learning has been successfully applied to finance databases to automate analysis of huge volumes of complex data.
Writer Identification of Lampung Handwritten Documents Based on Selected Characters

Writer identification is a sub-field in handwriting recognition which its objective is to determine the identity of the writer based on handwriting input. The goal is usually for forensic purposes such as finding the perpetrators of crimes that leave traces of evidence in the form of written messages. In addition, writer identification can also be used to determine the identity of a historical actor if he or she leaves a valuable written artefact. The object of this research is the traditional character of the Lampung region which is so-called Had Lampung by the local community. The traditional character of Lampung consists of 20 main characters and 12 diacritics. Based on selected characters, the writer will be recognized using the Principal Component Analysis (PCA) feature. PCA is one linear feature extraction method of an object in pattern recognition. The PCA algorithm consists of several stages, namely the calculation of the average dataset, the subtraction of the vector dataset with averages, the calculation of covariance, the calculation of eigenvectors and eigenvalues, eigenvector reduction, and the projection of the dataset against reduced eigenvector space. PCA in this paper is used as a feature in image recognition. The dataset utilized in this study is the Lampung Dataset which is a handwritten character recognition (HWCR) dataset. Lampung Dataset consists of 82 Lampung handwritten documents. All Lampung character images in the dataset were extracted from these documents using the connected component extraction algorithm and eventually generated 32,140 images. Furthermore, these images are converted into grayscale images. In this research, as many as 12,500 grayscale images of Lampung handwriting characters were chosen to represent 82 different writers. This data is employed as training and testing data on the proposed method. The highest accuracy of the identification of the writer using this PCA feature is 82.92%, while the lowest accuracy is 28.29%.
ANALISIS IDEOLOGI DAN TEKNIK PENERJEMAHAN PADA TEKS TERJEMAHAN MAHASISWA STIBA BUMIGORA TAHUN AKADEMIK 2017/2018

This objectives of this study are to discuss and describe the ideology and techniques of. The method used in this research is descriptive analysis. The data of this study are qualitative based on types and sentences that use ideology and translation techniques based on Molina and Albir's theories taken from the translation texts of STIBA Bumigora students for the academic year 2017/2018. In gathering data, the researchers use the observation method. The results showed of the 18 translation techniques, there are 8 techniques used by the students consisting of; Adaptation (1.35%), Amplification (2.70%), Borrowing (27.02%), calque (30.40%), Established Equivalent (2.70%), Generalization (1.35%), Literal Translation (33.78%), and Particularization (0.67%). The most widely used of translation technique is Literal Translation with 33.78% occurance. Based on the findings of the translation techniques used by students in translating texts, it can be concluded that the ideology used is forenisation. The the translation techniques that focus on the source language, namely borrowing, Calque and Literal Translation are more dominant, with an average frequency of 25% occurrence in each text according to the use of techniques which is oriented towards the target language which only plays 5 techniques with a frequency of occurrence of less than 10% in each text.
Wyzwania projektowania IA dla arabskojęzycznego użytkownika

Information architecture design [hereafter: IA] is one of the important elements of information systems development. Depending on the target audience and its conditions, this task may be more or less challenging. A particularly interesting group of recipients are Arabic speakers. According to the latest report by Mohammed Bin Rashid Al Maktoum Global Initiatives and Bayt.com, 47 million new Internet users in the Middle East region are expected to arrive by 2021. Besides, the changes introduced by the authorities of the Middle East countries focus on the latest technologies enabling the management of the state via the Internet and specially designed mobile applications. We can also add to this the extremely high level of information provided by society’s writers, which drives the development of solutions using digital technologies. In the face of the following changes and the growing demand from Middle East user groups, information architects need to familiarize themselves with the IA design principles for the Arabic-speaking user for professional reasons. This is a new and promising niche for information architects which is worth a closer look.
extrapolation of age and gender using convolutional neural networks

Age and sexual orientation order has gotten pertinent to an expanding measure of uses, especially since the ascent of social stages and web-based social networking.In the current paper, we will formulate and carry out estimation of age and extrapolation of gender from scratch with Keras. The face detection is accomplished by practicing a pre-trained facenet model. Our work is carried out by handling a UTK dataset. We produced an image output along with the confidence and accuracy of an image regarding the age and gender of a singular personality.
Effects of Different Vocabulary Learning Modes on EFL University Students

The purpose of this study is to examine two different vocabulary learning modes in an EFL reading environment. The participants were comprised of 107 university students who registered for a mandatory English course. They were divided into three different groups: a PB (paper-based) group, a GB (game-based) group, and an RB (recall-based) group. The PB group used a traditional method of learning vocabulary while both the GB group, and RB groups used a mobile vocabulary application. All three groups took a pre-vocabulary test at the beginning of the semester, then, carried out two different vocabulary activities: write a definition and fill-in. After the activities, the students took the post-vocabulary test. At the end of the semester, a survey was conducted concerning the printed materials and the mobile application for vocabulary learning. The results of the study indicated that significant differences were found within every group from the pre- to the post-tests for both activities. When the three groups were compared, significant differences were found only in the definition type activity. As for the survey, use of the printed materials and the mobile application received various responses.
모바일 앱을 활용한 영어 어휘 학습에 대한 초등 학습자의 인식

This study aims to investigate elementary school students’ perception on English vocabulary learning using mobile apps with a focus on learning methods. To this end, 40 elementary school learners were asked to use 6 apps in person to figure out their preferred methods by proficiency levels and genders. The results of analyzing observation journals, surveys and interviews were as follows. First, the most preferred learning method was Tutorial type in all groups, and functions such as ranking, scores and levels in Game type were not significant to the upper group. Second, although there was no significant difference between male and female groups in all learning methods, some differences were observed in terms of subfunctions. For example, boys tended not to prefer giving an explanation of their wrong answers. Overall, all learners preferred flash cards containing word meaning, pronunciation, and examples with pictures. Repeated learning using flash cards was preferred, whereas repeated learning using word notes, incorrect answer notes, and lock screen was not preferred. Their strong preference for Tutorial approach explaining vocabulary in detail using flash cards is related to an EFL situation, where it is required to learn vocabulary intentionally and deliberately rather than accidental or implied learning. These findings are expected to provide practical information specifically needed for the development of English learning apps for elementary students as a complementary tool for vocabulary learning.
A Hybrid Global Local Adaptive Particle Swarm Optimization-Based Support Vector Machine Model for Human Facial Authentication

A new facial authentication model called global local adaptive particle swarm optimization-based support vector machine, was proposed in this paper. The proposed model aimed to solve the problem of finding the preeminent parameters of support vector machine in order to come out with a powerful human facial authentication technique. The conventional particle swarm optimization algorithm was utilized with support vector machine to explore the preeminent parameters of support vector machine. However, the particle swarm optimization support vector machine model has some limitations in selecting the velocity coefficient and inertia weight. One of the best approaches, which is used to solve the velocity coefficient problem, is adaptive acceleration particle swarm optimization. Also, the global-local best inertia weight is used efficiently for selecting the inertia weight. Therefore, the global local adaptive particle swarm optimization-based support vector machine model was proposed based on combining adaptive acceleration particle swarm optimization, global-local best inertia weight, and support vector machine. The proposed model used the principal component analysis approach for feature extraction, as well as global local adaptive particle swarm optimization for finding the preeminent parameters of support vector machine. In the experiments, two datasets (YALEB and CASIAV5) were used, and the suggested model was compared with particle swarm optimization support vector machine and adaptive acceleration particle swarm optimization support vector machine methods. The comparison was via accuracy, computational time, and optimal parameters of support vector machine. Our model can be used for security applications and apply for human facial authentication.
CRITICAL DISCOURSE ANALYSIS ON PAN POLITICAL BANNER CAMPAIGN USING FAIRCLOUGH THREE DIMENSIONAL MODEL

This study was conducted in order to explain of Partai Amanat Nasional (PAN) political banner campaign uniqueness within 2018-2019 campaign periods. This study focused on the linguistic feature which employed and discursive technique in the banner. The data was collected from internet and limited only to banner in West Java province. Fairclough 3D-model is used as framework in this study to see the relation of language and it implication in society. The findings disclosed that the whole banner discourse, including images, design, and language supports the construction of message in the banner. It was also PAN political banner campaign in West Java act as entertainment to the readers.
LibGuides: Library Access Browser Extension: Step by Step

To have quick and simple access to all of USEK Library’s digital content use the Library Access Browser Extension
Quantum Cybernetics Technical Committee Reports: Investigating the Role of Quantum Effects in Regulating Quantum and Classical Systems

This article provides a summary of the operation and activities of the IEEE Systems, Man and Cybernetics Society (SMCS) Technical Committee on Quantum Cybernetics (TC-qCyber) since its inception on 30 March 2017.
MANFAAT MEDIA PEMBELAJARAN DALAM PEMEROLEHAN BAHASA KEDUA ANAK USIA DINI

Early childhood has a unique personality. Children have a high curiosity, and become good imitators in their daily life through stimulus with their senses. It indicates the child's growth and development normally. One of them is the ability to speak from their birth as a communication tool. The first language of a child is the mother language or language used daily in the family and also the surrounding environment. As their development, children gain knowledge using second, third language, and so on. A second language acquisition in children will be more effective by using learning media. The media is used to deliver messages from the sender to the addressee so that it stimulates the child's thoughts, feelings and attention. In terms of the second language acquisition of the child, appropriate media for children's effectiveness in achieving language acquisition are grouped into three major groups, namely: 1) Visual Media, 2) Audio Media, and 3) Audiovisual Media. Visual media are media in the form of images and tend to use the sense of sight, be it unmoved object or miniature object. While audio media is a media that relies on children’s additives (hearing). Audiovisual media is a combination of visual media and audio media which is better known as video. This learning media is able to stimulate children’s stimulus in acquiring a second language significantly.
Intellectual development during the digital era

Homo sapiens is the dominant subspecies in our planet, with more than 100,000 years of continuous evolution since it differentiated itself from its ancestors, and its development has been possible thanks to complex natural selection and adaptive feedback mechanisms, where intellect, writing, and teamwork are its most powerful characteristics.Howard Gardner described that we have more than ten types of intelligence to be developed, and multiple ways of learning have appeared, from empiricism and study of the traces or remains left by some phenomenon (investigation) to the deepest thoughtful introspection.The restless search for understanding our being and its environment found in personalities such as René Descartes, Nicolaus Copernicus, Galileo Galilei or Isaac Newton, the best study strategy to date: the scientific method.Nature presents itself to us in so many ways that it is necessary to identify the variables that indicate the phenomenon and its interactions with the highest accuracy.It is thus how, in the 17 th century, one of the instruments for comparison that is most useful for the researcher was born: the Cartesian plane, which is the basis of analytical geometry.In this type of graphs, the behavior of the dependent versus independent variable can be compared more clearly, and thus describe their degree of association.The issue then was focused on finding a way to graphically and numerically express the behavior of a natural phenomenon, such as the cold of a winter's day or the fever of a sick