Reviewerly/exHarmony huggingface dataset:
Peningkatan Kualitas Pembelajaran Melalui E-Learning

Peningkatan kualitas pembelajaran terus ditingkatkan dan dipertahakan dengan mengikuti perkembangan zaman. Berhubung zaman sekarang ini penggunaan internet bukan lagi barang baru maka peningkatan kualitas pembelajaran juga dapat dilakukan dengan memanfaatkan internet sehingga proses pembelajaran disebut juga dengan pembelajaran berbasis e-learning. Merupakan sebuah terobosan baru dibidang pengajaran dan pembelajaran, karena mampu meminimalkan perbedaan cara mengajar dan materi, sehingga memberikan standar kulitas pembelajaran yang lebih konsisten. Sistem e-Learning adalah mutlak diperlukan untuk mengantisipasi perkembangan jaman dengan dukungan teknologi informasi dimana semua menuju ke era digital, baik mekanisme maupun konten.&#x0D; The development of information technology in recent years has developed at a very high rate, giving a significant impact on the field of education, thus sparking the birth of the idea of e-learning. To be able to obtain maximum results it is necessary to design an e-learning learning process. The purpose of this writing is the use of the e-learning model in improving the learning process so that it can improve adult learning outcomes. The research method used in the discussion of this paper is the literature study method. The learning model with e-learning is a new breakthrough in the field of teaching and learning, because it is able to minimize differences in teaching methods and materials, thus providing a more consistent quality standard of learning. The e-Learning system is absolutely necessary to anticipate the changing times with the support of information technology where everything is leading to the digital era, both mechanism and content. To be able to produce e-learning that is attractive and desirable in improving the quality of learning, there are three conditions that must be fulfilled in designing e-learning, namely: Simple, simple systems that will make it easier for students to take advantage of existing technology and menus. Personally, teachers can interact well with students, such as communicating in front of the class. Fast, fast, fast response services to the complaints and needs of students, so that learning improvements can be carried out as quickly as possible by the teacher or manager.
Model Intelligent Agent Untuk Membantu Peran Psikolog Dalam Proses Interpretasi Jawaban Tes

The agent of technology very likey to be applied in the field of psychology.In a psychological test, the answers from respondents will be interpreted by a psychologist.The more test taker who participated will rise a problem which the time that needed in interpretation process will take longer time than usual.In addition, the consistency of psychologist in interpreting the answer given by respondent can be decreased.Therefore, this research has obejctives to design and implement the intelligent agent model in order to help psychologist to process the interpretation of test taker answer.The research stages including: a description of the agent, agent design, agent implementation and testing.In design process use the Prometheus methodology.Meanwhile, the agent architecture used BDI with the implementation of the software using the JADE platform.The result shows that the answer model is obtained from a number of summary words that have been verified by a psychologist.The highest success of the answers recognized by the model is 76.67% and the highest accuracy percentage reaches 100%.Based on the ability, the agent able to perform a summary process to get an answer model and able to make interpretations to get the test results.
Support for Adaptive and Distributed Deployment of CEP Continuous Queries for the IoMT

The current dissemination of IoT increases the deployment of stream processing solutions for monitoring and controlling elements of the real-world. One of those solutions is Complex Event Processing (CEP), and to handle the high volume, velocity and volatility of data streams from IoT sensors the CEP pipeline should be distributed, preferably having CEP operators both in the cloud/cluster and in edge devices. In this paper, we present a model for a distributed CEP platform and an implementation of this model called Global CEP Manager (GCM). GCM is a service of the ContextNet middleware that supports the deployment and dynamic rearrangement of CEP queries to CEP engines executing in the cloud and in M-Hubs, that are ContextNet’s mobile edge devices.
PENGARUH VIDEO PEMBELAJARAN TERHADAP EFEKTIVITAS BELAJAR PENDIDIKAN AGAMA KRISTEN SISWA KELAS X SMA NEGERI 2 TARUTUNG KABUPATEN TAPANULI UTARA TAHUN PEMBELAJARAN 2018/2019

vAbstract, This study aims to find out how much positive and significant influence between the use of learningvideos by Christian Education Teachers on the effectiveness of learning in class X Tarutung 2 High SchoolNorth Tapanuli Regency, with the hypothesis there is the Effect of Learning Videos on Learning Effectiveness ofClass X Students of State High School 2 Tarutung North Tapanuli Regency 2018/2019.This research uses inferential quantitative descriptive approach, with a population of all students of class XTarutung 2 High School totaling 288 people with a sample of 40 people. Data was collected by a closedquestionnaire of 30 items compiled by the author based on variable indicators according to expert theory. Thequestionnaire trial was conducted on 30 students who were not research respondents, and validity andreliability were tested. The results of data analysis show that there is a positive and significant influencebetween Learning Videos on Learning Effectiveness of Class X Students of Tarutung 2 High School NorthTapanuli Regency 2018/2019 with a coefficient of determination (r2) = 38.68% and significant test of influenceobtained by Fcount Ftable of 23.77 4.10, meaning that Ho is rejected and Ha is accepted.Keywords: Learning Videos, Learning Effectiveness.
Off-Line Handwritten recognition using fuzzy logic and genetic algorithm

This paper discusses about the recognition of handwritten characters of Kannada. In particular we concentrate about the hybrid technique which is used in here. This approach uses two algorithms which are genetic and fuzzy logic for recognition. Feature extraction is the estimation of certain attributes of the target patterns. Selection of the right set of features is the most crucial and complex part of building a pattern recognition system. The novelty of this approach is to achieve better accuracy and reduced computational time for recognition of handwritten characters using Genetic Algorithm which optimizes the number of features along with a simple and Fuzzy Logic. We will analyze the performance and accuracy of the system.
Mother Tongue as Medium of Instruction for Effective Communication and Science Learning at Elementary Level

In most of the developed countries, science is being taught in the native language. However, the situation is not the same in other countries. This quasi-experimental study was designed to find the effect of communication using native language on student's learning of science subject at the elementary level. The sample of the study consisted of 50 Pushto speaking female students of Swabi KPK, Pakistan. The results of the study indicated that in the post-test, scores of the experimental and control groups were significantly different. The study concluded that in fostering student's science learning, teaching science through mother tongue is found effective at the elementary level as it enables students to communicate with teachers and other fellow students and enables them to discuss ideas, experiences, and problems faced during the learning process. It is suggested that this investigation should be repeated in other districts where pupils do not perform well in other science subjects.
The Future of Education in the Context of Cognitive Enhancement Practices

The exponential growth of technological advancements creates an environment in which the traditionally conceived cognitive enhancement – education – must constantly redefine itself in the face of the invasive presence of A.I., the social media and various biotechnologies that strive to augment the effect-oriented performance. Whereas on the conceptual level there is a visible shift from the static to flow-modelled education, and the rising trend to invest in the skills like flexibility and creativity, not many of emerging technologies are seriously considered as educational tools. The paper looks into the varieties of cognitive enhancement within educational context. Of major concern are the already available technologies of collective intelligence and nootropics, as well as experimental dowloadable learning. I review the problems occasioned by these technologies, as well as the existing solutions, which tend to incorporate rather than exclude the possibilities of radical cognitive enhancement.
Efektifitas Penggunaan Association Rules Mining dalam Personalisasi Website

As the usage of the internet grows, more and more information is obtained, thus presenting challenges, especially for users and website owners. Website users often have difficulty finding products or services that are relevant to their needs caused by abundant amounts of products and services delivered on a website. Website owners often find it difficult to convey information about the right products and services to certain target users. Based on the problem given above, we can conclude that a recommendation system approach that can improve personalization on their website is needed. The recommendation system approach must be able to provide navigation on the website to make it more adaptive towards the interests and information needed by the user. This study uses Association Rules formed from Microsoft web access log data by finding visitor patterns based on frequently visited web site pages. From the results of the research conducted, the performance of the method used has a precision value of 0.896, 0.058 recall, and F-measure 0.104. Whereas the measurement of the accuracy value resulted in a performance recommendation of exactly 3%, an acceptable rate of 87%, and 10% incorrect. This research shows that the Association Rules method can increase the effectiveness of website personalization to provide relevant information recommendations for visitors. For further research, it can concentrate on improving existing methods thus website personalization becomes more adaptive.
19-Tone Theory and Applications

Microtonal music is one of those subjects that has always been around, but few people have ever had the will to investigate it thoroughly. The main reason why more people have not dealt with microtonal music is that there are almost no instruments that allow composers to experiment with it. In spite of all this, the music of many cultures even at the present time employs non-equaltempered scales, and even Western music did until the eighteenth century, when mathematicians worked out the logarithmic basis of equal temperament. In this article, the author explains how he became interested in 19-tone equal temperament and how he explored the possible resources available in such a system. This involves creating a chord grammar based on similarity relationships, similar to what he has used in his music written in 12-tone equal temperament. Through these considerations he discovered a particular set of chords that have special properties in terms of their interval content, number of transpositions, and relationships to other chords. Finally, the author explains how he used these properties in the music he composed in this temperament.
Modeling Parameter Selection Using A Random Generation Classification of Order Ten (10): Matlab Algorithm

Nwagor Peters*, Ojimba DP and Jim George Frimabo Author Affiliations Ignatius Ajuru university of Education Port Harcourt, Nigeria Received: October 27, 2020| Published: November 06, 2020 Corresponding author:Nwagor Peters, Ignatius Ajuru university of Education Port Harcourt, Nigeria DOI: 10.26717/BJSTR.2020.31.005145
Implementasi Algoritma Luc Pada Aplikasi Keamanan Short Message Service (SMS) Berbasis Android

Short Message Service (SMS) still has security problems with attempts to steal messages, intercept messages, hijack messages by parties who are not responsible for obtaining information. Cryptography is the science of maintaining the confidentiality of information from aspects that can threaten information security with certain mathematical algorithms and techniques. The Luc algorithm is a public key cryptographic algorithm that was developed using the lucas function. This study aims to implement the Luc algorithm on an Android-based SMS security application in the National Narcotics Agency of Central Sulawesi Province to maintain privacy in communication between the sender and recipient of the message. This application was created using an Android studio developer with the Java programming language. Based on the results of the first test for a sample of plain messages in the word KOTA PALU that uses public key 13 produces the message cipher P=Se!CQa. The second test result for the message sample on the word KOTA PALU that uses public key 29 generates the AD*`_$(NQ cipher message
Discrete Group Actions on Digital Objects and Fixed Point Sets by Isok(·)-Actions

Given a digital image (or digital object) (X,k),X⊂Zn, this paper initially establishes a group structure of the set of self-k-isomorphisms of (X,k) with the function composition, denoted by Isok(X) or Autk(X). In particular, let Ckn,l be a simple closed k-curve with l elements in Zn. Then, the group Isok(Ckn,l) is proved to be isomorphic to the standard dihedral group Dl with order l. The calculation of this quantity Isok(Ckn,l) is a key step for obtaining many new results. Indeed, it is essential for exploring many features of Isok(X). Furthermore, this quantity is proved to be a digital topological invariant. After proceeding with an Isok(X)-action on (X,k), we investigate some properties of fixed point sets by this action. Finally, we explore various features of fixed point sets by this action from the viewpoint of digital k-curve theory. This paper only deals with k-connected digital images (X,k) whose cardinality is equal to or greater than 2. Besides, we discuss some errors that have appeared in the lilterature.
Building Collaborative Data System on Top of the Operational Transformations Algorithm

Providing users with the way to collaboratively edit shared model is the challenge of complex informational systems. The majority of existing methods require online connection between users, otherwise, users’ intentions can be lost after a certain delay. The aim of this research is to build a collaborative system that allows users to edit shared model in offline manner without losing their intentions. Firstly, commit-based system was selected as underlying data storage. Secondly, we examined existing collaborative algorithms and selected operational transformation as the most perspective for this scenario. Thirdly, we described the way to merge commits, that stores operations, using modified operational transformation algorithm. Key features of modified operational transformation algorithm include ability to handle resolving of merge conflicts, when intentions of two users are conflicting. To implement this, we consider the set of commits branches as ordered set. As a result, we developed a version control system, that stores user’s intentions and can automatically resolve conflicts on merge. This approach can be applied to any informational system, which is able to save user’s input as the set of operations.
Using CNNs for Quality Assessment of No-Reference and Full-Reference Compressed-Video Frames

For videos to be streamed, they have to be coded and sent to users as signals that are decoded back to be reproduced. This coding-decoding process may result in distortion that can bring differences in the quality perception of the content, consequently, influencing user experience. The approach proposed by Bosse et al. [1] suggests an Image Quality Assessment (IQA) method using an automated process. They use image datasets prelabeled with quality scores to perform a Convolutional Neural Network (CNN) training. Then, based on the CNN models, they are able to perform predictions of image quality using both Full- Reference (FR) and No-Reference (NR) evaluation. In this paper, we explore these methods exposing the CNN quality prediction to images extracted from actual videos. Various quality compression levels were applied to them as well as two different video codecs. We also evaluated how their models perform while predicting human visual perception of quality in scenarios where there is no human pre-evaluation, observing its behavior along with metrics such as SSIM and PSNR. We observe that FR model is able to better infer human perception of quality for compressed videos. Differently, NR model does not show the same behaviour for most of the evaluated videos.
FORMATION METHODICAL COMPONENT OF PROFESSIONAL COMPETENCE OF STUDENTS SPECIALTY “SECONDARY EDUCATION” (MATHEMATICS AND PHYSIСS) BY DIGITAL TOOLS

The article considers the formation of professional competence of students majoring in secondary education (mathematics and physics). Attention is paid to the methodological component of professional competence and the expediency of its formation by pedagogical and methodological orientation of the courses taught for future teachers is substantiated. The method of formation of methodical competence with the use of modern digital teaching aids in the pedagogical process is described. It is proved that шntegrated use of digital tools in the pedagogical process pursues two goals, motivation and strengthening of cognitive processes of students involved in the learning process, their active participation, awareness of the learning process, building their own trajectory and the second goal, which is important for students majoring in secondary education (physics and mathematics) – the formation of ideas about the organization of the modern educational process. The classification of digital teaching aids into visualization tools, memory tools, comprehension tools, communication tools, and assessment tools is carried out, their didactic value in the pedagogical process is described. Digital tools for the formation of methodological competence were selected on the basis of analysis of their impact on cognitive processes involved in all stages of the learning process. The integral process of using digital applications in the pedagogical process at all stages of the learning process is designed to ensure the formation of methodological competence of future teachers by their own example of the organisation of educational process.
Modeling the Estimation Errors of Visual-based Systems Developed for Vehicle Speed Measurement

This paper aims to modeling the relationship between the error of visual-based systems developed for vehicle speed estimation (as dependent variable) and each of the detection region length, the camera angle, and the volume-tocapacity ratio (V/C), as independent variables.Simulation software (VISSIM) is used to generate a set of video clips of predefined traffic based on different values of the dependent variables.These videos are analyzed with a video-based detection and tracking model (VBDATM) developed in 2015.Errors are expressed as differences between each of the actual speeds generated by VISSIM and the speeds computed by the VBDATM divided by the actual speed.The results conducted by the forward stepwise regression analysis show that the V/C ratio does not affect the accuracy of the estimate and there are weak relationships between the estimation error and each of camera position and the detection region length.
PERANCANGAN MEDIA PEMBELAJARAN ORGAN PENCERNAAN BERBASIS GAME ROLE PLAYING UNTUK KELAS V SD

The low standard of values ​​for natural science shows that Indonesia is still lagging behind other countries. This can be seen from the data from the results of the PISA survey conducted by the OECD in 2003 which states that the standard for Natural Sciences in Indonesia is 360.16, while the standard for Natural Sciences (IPA) in the world is 484.84. This data shows that the average score of Natural Sciences subjects is still very low. There are many factors that underlie the low value of IPA in Indonesia. one of them is the assumption that this subject is difficult. In addition, students also find this subject boring and uninteresting. Therefore, this study intends to develop alternative media for fifth grade students to help them learn science, namely in the form of an RPG game that can be played via a computer.
Application of Promotion, Map and Existing Tourism Information Systems in Solok Selatan District using Android Java Programming Language

The development of technology and information is felt very rapidly and this affects aspects of work that make work easier, one of which is the development of mobile technology, information media can now be made in the form of mobile applications, using mobile technology in the form of tourist applications, which provide information - information about tourism in the district of Solok Selatan, the search for tourism information in the district of Solok Selatan will be more practical to use and users can use this application wherever they are, this application can be used as a medium of knowledge about tourism in Solok Selatan district. This Solok Selatan tourist application is expected to be able to provide more knowledge about Solok Selatan tourism to the wider community, especially the people of Solok Selatan District.
RECENT RESEARCH SUPPORTING A SPECIFIC-MOTIVE-BASED MODEL OF COMPETENCE

Mõttus and his colleagues recently reported research which showed that individual items from Big 5 questionnaires were better able to predict changes with age than either factor scores or scores derived from sub-sets of items designed to index "facets" of personality.They further speculated that these items were linked to specific sequences of genes and that some of these dispositions led those concerned to select themselves into environments which enhanced and strengthened their differential effect.These data strongly support Hayes' (1962) claims to that effect.In fact, these had already been reinforced by Bouchard's extension and re-analysis of the item bank behind the Big Five and research by Johnson.The present paper sets these results in the context of a seemingly more parsimonious theoretical framework grounded in the work of David McClelland and further developed by the author.This develops a Linnaeus-type classification of motivational dispositions and elucidates of a number of components of competence which enable people to translate their motivational dispositions into effect.As Scarr hypothesised, people can, and do, select themselves into environments which enable them to hone the components of competence needed to translate their motivational dispositions into effect.Research conducted in homes, schools, and workplaces conducted by the author and his colleagues documents how many parents, some managers, and a few teachers create developmental environments which contribute to this process.Particular attention is paid to the emergent nature of competence and the nature of the environments which facilitate that emergence.In the course of the paper, the development of the theoretical framework needed to think about individual differences, their development, and release in this way is described in some detail.I am deeply indebted to Steve Hughes and Oleg Yarygin for their encouragement to prepare, and help in preparing, this article.