Reviewerly/exHarmony huggingface dataset:
NATIONAL SCIENCE OLYMPIAD PARTICIPANT SELECTION USING COMBINATIONS AHP AND MFEP METHODS

In the educational world, many students learn to strive to follow the National Science Olympiad included in the government program. The National Science Olympiad is a competition in science for elementary, middle, and high school students in Indonesia. Students who follow the National science Olympics are students who have passed the county and provincial level selection and are the best students of their respective provinces. At the National Science Olympics, there are 3 different currencies in mathematics, physics, and biology. The research used in this research is a qualitative method of research that uses analysis in a descriptive or narrative to illustrate the phenomenon from the beginning of research to research results. Techniques used in qualitative research in general with interview and observation methods. The final result of the study resulted in a selection system of National Science Olympiad in junior High School 1 range using a combination of AHP and MFEP methods which each writer has a weight of 0.1 mathematics, 0.7 physics and 0.2 of desktop-based biology using Visual Basic .net 2010 Programming language can facilitate the school to determine the students who will be participants in the event.
Improving Neural Networks using Slice Models for Similar Classes

Under the traditional machine learning that optimizes overall accuracy, the accuracy of a model for similar classes tends to be lower than for other classes. In this paper, we propose a method that can improve the accuracy of such problematic similar classes by adopting the concept of slices. The proposed method can improve the accuracy of slices effectively without degrading the overall accuracy.
IMPLEMENTASI KRIPTOGRAFI AES-256 UNTUK FILE CITRA BITMAP PADA PRIVATE CLOUD SERVICE DENGAN VERIFIKASI DAN PENGAMANAN DATA

Perkembangan teknologi yang bergantung pada suatu Cloud terutama pada Private Cloud diperlukan pengelolaan identitas dan otentikasi data atau informasi. Salah satu informasi yang rawan diamankan adalah File Citra Bitmap. File Citra Bitmap adalah representasi gambar dari sebuah objek yang lebih bagus dari format JPEG dan mudah dipetakan dalam bit. Dalam menjaga keamanan data informasi terdapat cabang ilmu dalam pengembangannya seperti kriptografi. Advanced Encryption Standard (AES) merupakan algoritma Kriptografi yang dapat digunakan untuk mengamakan data dimana algoritmanya adalah blok chipertext simetrik yang dapat mengenkripsi (encipher) dan dekripsi (decipher) informasi. Pada penelitian ini, dibangun sebuah sistem enkripsi dan dekripsi File Citra Bitmap untuk menganalisis performa algoritma tersebut. Hasil analisa perbandingan penelitian Implementasi File Citra Bitmap pada Private Cloud dari dimensi piksel (px) gambar dengan lama waktu eksekusi enkripsi-dekripsi yang didapatkan pada sistem ini adalah algoritma AES menghasilkan keamanan cipher image yang lebih baik namun membutuhkan waktu proses yang lebih lama enkripsi 0.0040sc dan dekripsi 0.003sc dan menguji keamanan hasil enkripsi dan dekripsi pada web tool encrypt-decrypt yang tidak bisa didecrypt.The development of technologies that depend on a Cloud, especially on Private Cloud, requires the management of identity and authentication of data or information. One of the information that is vulnerable to safekeeping is the Bitmap Image File. A Bitmap Image File is an image representation of an object that is better than the JPEG format and is easy to map in bits. In maintaining the security of information data there are branches of science in its development such as cryptography. Advanced Encryption Standard (AES) is a Cryptographic algorithm that can be used to generate data where the algorithm is a symmetric ciphertext block that can encrypt (encipher) and decrypt (decipher) information. In this research, an encryption and decryption file for Bitmap Image was built to analyze the performance of the algorithm. Results of comparative analysis of research Implementation of a Bitmap Image File on a Private Cloud from the pixel dimensions (px) of an image with the encryption-decryption execution time obtained on this system is that the AES algorithm produces better cipher image security but requires a longer processing time of encryption 0.0040sc and decryption 0.003sc and test the security of the encryption and decryption results on the encrypt-decrypt web tool that cannot be decrypted.
some Phenomenological issues in Computational Modeling of Analogy

There are presently several fashions of the analogy manner that have been implemented by means of pc programs. Analogy is a process that we use each day in basic questioning and mastering obligations, and is manifested via recollections, expectancies, and, in widespread, associations via similarities and variations. using analogies is some thing as spontaneous and familiar as implicitly effective in our non-stop and our ordinary questioning strategies. however, aiming to have a whole description of analogy technique as human beings use, it is not an clean challenge. in this sense, the simulation of analogy technique by computational applications, in preferred, weakly debts for its complexity. Phenomenology can assist us to unveil the presuppositions analogy operates with, via figuring out and discovering the most original kinds of gadgets constitution regarding their genetic foundation inside the passive (or precognitive) and energetic synthesis. for that reason, genetic phenomenology distinguishes between active genesis, on the only hand, and passive genesis, however. within the former, the concern participates actively within the charter of gadgets starting from gear and utensils of day by day residing to systems of concept, inventive creations, mathematical theorems, or scientific theories. every energetic genesis presupposes in the problem a type of passivity that influences it in advance. This “passivity” does no longer imply inactivity, however it rather refers to the truth of being involuntarily stricken by a spread of behavior, for example, inclinations, questioning styles, motivations, feelings, reminiscences, traditions, and paradigms. Phenomenology of association considers the constitutive position of homogeneity and heterogeneity syntheses which will be the analogical channels or simple factors of wondering generation by using analogy.
Linking Human Resource Management Practices and Employee Performance through Networking Behavior: A Perspective from Malaysian Private University

This paper aims to explore the relationship between human resource management practices and employee performance in Malaysian private university.This paper proposed networking behavior as mediator between HRM-employee performance linkages.To develop this conceptual model, the paper reviews previous literature on HRM, networking behavior and employee performance.This paper proposes a theoretical model of HRM-employee performance linkage with networking behavior as mediator that will better explain the relationships.It argues that HRM practices namely as recruitment and selection practices, and compensation and benefits practices may influence employee's networking behavior and their performance.At the same time, networking behavior would also affect employee performance.Each of these variables is explored and looking for possibility on the role of networking behavior as mediator.Two hundred and forty-two usable questionnaires are collected to empirically test the hypothesis using IBM SPSS Statistics 23 software and Smart Partial Least Square (SmartPLS) version 3.This paper concludes that recruitment and selection practices, and networking behaviour have significant relationship towards employee performance.Furthermore, networking behavior did not mediate the relationships between recruitment and selection practices, and compensation and benefits practices on employee performance.Therefore, these results should assist organization in providing insight towards managing employees of Malaysian private universities.
Work in Progress: A Multidisciplinary Approach for Undergraduate Research in Augmented Reality Systems

This Work-in-Progress paper presents a multidisciplinary undergraduate research project to develop an augmented reality system for the U.S. Marine Corps weapon maintenance and operation.The project utilizes low-cost, market-leading AR hardware and software to develop an interactive AR application for maintenance and operation of M16A4 rifle.The AR application contains interactive presentation and visualization of M16A4 external and internal parts and 3D animations for maintenance and troubleshooting procedures.The proposed approach can be applied to other similar weapons/equipment with minimal changes.The project will also conduct preliminary research on software framework, interface, and file structures for easy integration of different objects under the same AR application.This project contains several major tasks: 1) 3D modeling of the weapon, including all internal and external parts to be displayed in the AR application, 2) 3D printing of the weapon mockup that only requires the external parts converted from the file format used in Task 1 and further optimization of the model for 3D printing, 3) software development in Unity that utilizes mobile devices, Microsoft HoloLens, and Vuforia to generate the AR application for weapon maintenance and operation, and 4) preliminary research on software and information architecture to support efficient development of AR applications.This paper discusses the issues, benefits, and effective approaches in designing and executing multidisciplinary undergraduate research projects.
Sales Pattern Analysis of Electronic Goods Using Apriori Algorithm

From the source of sales data, CV. Rico Pratama Abadi shows that the demand for electronic products is increasing. This is the basis for processing Data Mining in the sale of electronic products. On the CV. Rico Pratama Abadi is a financing company with a variety of electronic products that have worked with more than 50 stores throughout Indonesia. Sales data in the CV. Rico Pratama Abadi is not well structured so data only functions as an archive for the company and cannot be used for developing marketing strategies. Apriori algorithm is a type of association rule that exists in data mining. By applying the apriori algorithm it is hoped that it can dig up useful information to find out the pattern of sales of electronic goods to improve sales strategies. With the construction of this system it is expected to help CV. Rico Pratama Abadi in overcoming problems that occur. The results of this study are reports on patterns of sales of electronic goods in the CV. Rico Pratama Abadi. With these results, it is expected to help in arranging sales strategies so that sales on the CV. Rico Pratama Abadi can increase.
IMPROVING THE TENTH GRADE STUDENTS’ SPEAKING ABILITY OF SENIOR HIGH SCHOOL HARAPAN-I MEDAN THROUGH ROLE PLAY METHOD

The purpose of this study was to find out how the application of role plays methods in an effort to improve English speaking skill of the tenth grade students at SMA Harapan-I Medan. This research is a Classroom Action Research study conducted collaboratively. Subjects in this study were students of the tenth grade students at SMA Harapan-I Medan. While the object of this study is the application of role play methods, to improve students' speaking skill. Based on the results of the study, it was found that the percentage of the results of the completeness of the students' scores between cycle I and cycle II had increased. In the first cycle, the percentage of completeness was 40% while in the second cycle there was a significant increase to 63%. There is a 43% increase between the pre-cycle, actions of cycle I and cycle II. Thus this study was declared successful and it can be said that the use of role play methods can improve student learning outcomes in speaking
The Relationship between Employee Empowerment, Job Satisfaction, Team spirit and Staying Intention: Exploring with an in depth SEM model analysis

This study was conducted to examine the influence of Empowerment relationship on Job Satisfaction, Team spirit and Staying Intention. Statistical analysis was conducted using structural questionnaires and hypotheses was tested on a sample of 200 IT employees. To analyses the data, SPSS and structural equation modelling tool is used. The result conforms that employee empowerment positively influence on job satisfaction , team spirit and staying intention indicates the management sector to empower a creative an atmosphere to empower employee innovative ideas, decision making authority and a freedom to implement it. So to the changing environment employee empowerment technique will influence a very high job satisfaction, staying intention and team spirit. In addition to this further research in other IT sectors with very high note is to conducted in a wide basis.
Application of the Open Data Kit for Data Collection Presence of Primary School Teachers

The Open Data Kit (ODK) originated as a google.org initiative where research efforts were focused on applying technology to assist developing countries in the health and environment sectors. ODK is an open-source tool that helps organizations, writers / researchers, field workers, and manage mobile data collection solutions. Its goal is to create open-source and standards-based tools that are easy to try, easy to use, easy to modify and easy to measure.&#x0D; This research was conducted to help teachers and Korwil Operators to collect and manage teacher attendance data at each elementary school in Ciater sub-district by utilizing the Open Data Kit as a medium for collecting and managing primary school teacher attendance data. This research was conducted by conducting literature studies, interviews and observations, and studying the use of the Open Data Kit. Furthermore, the stages will be carried out to define the needs of analysis, design and implementation.&#x0D; The final result of this research is a presence data collection application that utilizes the Open Data Kit as a medium consisting of ODK Collect as a data collection tool and ODK Aggregate as a tool for managing data.&#x0D;
Adoption of Quick Response Code to Promote Library and Information Resources and Services

Quick Response (QR) code is modern technology which can cater to the user demand of providing access to resources through mobile-phone. The main objective of this paper is to review the concept of QR code and describe the practice of reading and generating the codes. The paper attempts to the basic concept and structure of the QR code, types and forms of QR code, and, how to generate QR code.
Moral knowledge of students – prospective teachers as a subject of a pedagogical analysis

The goal of this paper is to study the current state of moral knowledge of students majoring in Education. The author explains the need to study the moral knowledge of students about the content of the categories moral, morality, value and the golden rule of morality. The author finds a leading method that can be used while studying the moral knowledge of future teachers it is the method of the conceptual vocabulary. The paper reveals common and different ideas of freshmen and graduating students about morality, value and the golden rule of morality. It is substantiated that the moral knowledge of freshmen is mostly ordinary knowledge, while the moral knowledge of graduating students is connected with scientific meaning. It is proved that graduating students, realizing that morality is a reflection on themselves, understand the relationship between morality and behavior in relation to another person, they understand that the relationship is the link between the side of consciousness and the behavioral side of the teachers morality; The author reveals graduating students orientation towards those taking the form of a guideline of their activities, the ideal to which the prospective teacher aspires, and values. The development of students ability to moral and pedagogical reflection of moral knowledge is defined as a prospect of upbringing the morality of prospective teachers.
IMPLEMENTASI TEKNIK STEGANOGRAFI END OF FILE, KOMPRESI LEMPEL ZIV WELCH DAN ALGORITMA TRIPLE DES UNTUK MENGAMANKAN DATA KEDALAM CITRA BERFORMAT BMP

Many techniques and methods are used to maintain data security. Like Cryptographic Techniques, Compression and Steganography. Triple DES (Triple Data Encryption Standard) is an algorithm developed from the DES (Data Encryption Standard) algorithm. Basically the algorithm used is the same, only in Triple DES was developed by encrypting the DES algorithm implementation three times. LZW is the short word for Lempel Ziv Welch. The LZW algorithm compresses using a dictionary, where parts of the text are replaced with indexes obtained from a dictionary. The End of File (EOF) method is a technique that inserts data at the end of a file. EOF can be used to insert data that is the same size as the container file size, and will then output an insert that is larger than the original container file. After being implemented, it was concluded that the Triple DES, LZW and EOF Method were successfully implemented when implemented per method. However, when the methods are combined per 2 methods and 3 methods at the same time, the Triple DES, LZW and EOF methods unable to restore data in its entirety
PERBANDINGAN METODE NAIVE BAYES DAN DEMPSTER SHAFER UNTUK MENENTUKAN DIAGNOSA PENYAKIT PADA KUCING (Studi Kasus: Vet Clinic Drh. Honismandri)

Veterinary clinic is a pet clinic located in Jl. Peace, gg. Setia Tanjungpinang. Veterinary clinics are currently diagnosing cat diseases, recording owner data, checking up, bathing manually. To help simplify the work needed methods that can determine the diagnosis of diseases in animals. One way to determine cat disease uses an expert system. Expert system for diagnosing cat diseases using the Naive Bayes - Dempster shafer method is a system that will diagnose cat disease based on symptoms entered from the system user. In this study the data obtained is the result of veterinary interviews. This research focuses on cat disease in Tanjung Pinang Clinical Vet in 2018-2019 The amount of actual data is 100 data. Case data tested in the study as many as 40 data. From the above data it can be seen the percentage of validation for the Dempster Shafer and Naive Bayes methods. The naive bayes method is better than the dempster shafer method, the percentage for naive bayes is 52.50% while the demster shafer is 47.50%.
SURVEY OF EXISTING FACE RECOGNITION APPROACHES, TECHNIQUES AND CHALLENGES

Abstract â€“ Face recognition is a prominent field in signal processing analysis and has received considerable attention over the past decade due to its very diverse domains of application. The potential it has, led researchers and marketers in the industry to put effort into developing what would be an optimal approach and method that would eliminate all existing challenges encountered so far. These past works include knowledge and researches from pattern recognition, psychology neuroscience, computer vision, image processing, and machine learning. A lot of published papers focused on explaining ways to overcome difference factors (such as illumination, expression and occlusion) and attain better recognition rate. A robust technique against uncontrolled practical cases with different factors simultaneously still need to be researched upon. This paper presents some of the existing approaches, techniques and challenges associated with existing face recognition systems.
TEXT CLASSIFICATION FOR NEWS GROUP USING MACHINE LEARNING

Computerized text characterization is consistently a significant application. In many exploration fields,a part ofpapers are distributed each year.textclassification is a need in view of the tremendous roportion of text records thatwe have to oversee step by stepOrdinarily, most data for sort request are accumulated from the web, throughnewsgroups, discharge sheets, and convey or printed news.The content mining considers are increasing moresignificance as of late as a result of the accessibility of the expanding number of the electronic records from anassortment of sources.
Parallel and Nearest Neighbor Search for HighDimensional Index Structure of Cbir System Using DvaTree

The System proposed similarity measure on multimedia data to retrieve content-basedinformation. Parallel Similarity search focus on research in the field of adaptable similarity search whichconsiders the adaptation of the proposed similarity measure to different user preferences. In order toimprove the retrieval quality of content-based similarity search, they plan to examine the properties ofthe underlying similarity matrix to capture those user preferences. The content-based retrieval of heavilysized databases. As information retrieval is generally not restricted to a fixed size of the databases, thisinvestigate on techniques to query voluminous data in an efficient way. To support the retrieval process,distributed vector (DVA) approximation and indexing techniques of the proposed similarity measure.
4차 산업혁명 시대의 미래 영어교육에 대한 영어교사의 인식 및 태도 연구

The purpose of this paper was to investigate English teachers’ perceptions and attitudes toward English education in the era of the 4th Industrial Revolution. A total of 156 primary, secondary, and pre-service English teachers responded to an online survey that included questions mainly addressing the respondents’ understanding of the 4th Industrial Revolution, and their expectations about how it will affect the future of English education and the roles of English teachers. The analysis of the survey data revealed some intriguing results. For instance, while the respondents in this study were found to be concerned about the future of English education, they tended to show positive expectations about it at the same time. Also, they expected that English education should change in a more positive and substantive way to help students succeed in developing communicative skills in English. More detailed findings are discussed along with some implications for pedagogy.
LEADERSHIP AND IMAGE APPROACHES DEVELOPMENT IN THE PROCESSES OF EDUCATION AND UPBRINGING INTO UNIVERSITY ENVIRONMENT

S. Denchev, M. Pavlova, R. Yotova, H. VasilevaUniversity of Library Studies and Information Technologies (BULGARIA)
Opportunities for Improving the Professional Success of Teachers in the Modern Educational Environment

The relevance of studying the problem of improving the professional success of teachers is determined by the system-structural nature of the educational space, which includes a huge variety of factors that are subject to dynamic changes. The purpose of the work is to show the components of the educational environment that influence the success of the teacher's professional activity and to reveal the possibilities of managing the professional trajectory of the teacher. The study considers the world experience of analyzing various components of the educational environment that determine the features of individual trajectories of the professional development of teachers. It is shown that one of the leading factors of professional success of teachers is their professional qualifications. It is concluded that managing the process of improving the competence of a teacher through the content of professional qualifications is one of the most effective mechanisms for improving the effectiveness of the educational process. A variant of constructing a digital predictive - prescriptive model using artificial intelligence technologies is proposed. This model will allow designing an effective individual trajectory of the professional development of a teacher and the content of professional development programs. The theoretical and practical significance of the research is determined by the need to improve the effectiveness of the teacher's activities through the management of the development of his professional competencies.