Reviewerly/exHarmony huggingface dataset:
Peningkatan keterampilan membaca pemahaman melalui strategi pembelajan know want learn (KWL) pada peserta didik kelas IV sekolah dasar

&lt;p class="Abstract"&gt;&lt;em&gt;This research aims to improve reading comprehension skills with Know Want Learn learning strategies. The subjects of this research were 31 students in class IV Karangasem II Elementary School Surakarta in the academic year 2019/2020. This study uses data collection techniques such as observation, interviews, documentation and reading skills tests that are tested with content validity, triangulation of data sources and triangulation of techniques. The results that has been obtained will be processed by data analysis techniques from Miles and Huberman. From the results before the implementation of the Know Want Learn strategy, classical completeness was only 12.9% (only 4 students), then after the implementation of the Know Want Learn strategy the results of reading comprehension skills increased by 48.39% (15 students) in the first cycle and 82.2% (26 students) in the second cycle. So, the Know Want Learn strategy can improve reading comprehension skills in grade IV students of SD Negeri Karangasem II in the 2019/2020 school year.&lt;/em&gt; &lt;em&gt;The teacher can apply this know want learn strategy to reading comprehension learning in elementary schools, especially fourth grade.&lt;/em&gt;&lt;/p&gt;
The Construction of Campus Football Culture

To a certain extent, campus culture reflects the students’demands for spiritual civilization in the school. Therefore, in order to enrich students’extracurricular life on campus, the construction of campus culture is the general trend. This article discusses the effectiveness of football culture in enriching extracurricular life, focusing on its value construction.
Peningkatan keterampilan membaca pemahaman menggunakan model pembelajaran scramble wacana pada siswa kelas IV

&lt;p class="Abstract"&gt;&lt;em&gt;The purpose of this research is to improve reading comprehension skills through scramble learning models for grade IV students of primary schools. in this study the subjects studied were grade IV students of SD Negeri Mangkubumen Kulon No. 83 Surakarta in the 2019/2020 school year with a total of 16 students. In this research, researchers used several techniques in data collection, namely the activity of tests, interviews and observation. Data analysis of content validity and data triangulation. The analysis data techniques used are interactive analysis model of Miles-Huberman techniques. From the research on the application of the scramble learning model during the two cycle research, the following results were obtained, in the first cycle the classical completeness was 37.50%, then in the second cycle it was 100%. based on these results it can be concluded that the students' reading comprehension skills have increased from the pre-action stage, first cycle and second cycle. As for the contribution this study, teachers can use the scramble learning model in reading comprehension learning activities.&lt;/em&gt;&lt;/p&gt;
Augmented Reality Towards A Simplified Pedagogical Scenario Case of Teacher Training in the Regional Centers for Education and Training in Morocco

Augmented reality to qualify a new form of interaction between the user and the machine based on the association of real objects, from the user's environment, and virtual. In Morocco the use of this technology in the learning context remains in the embryonic phase that tries to overcome several issues (Profile of the designers, Users, and the learning scenario). Scripting is primarily a work of content design, resource organization, activity planning and mediations to induce and accompany learning. The integration of augmented reality (AR) requires the contribution of the different specialists who work on the design and realization of the scenario. While the CRMEF AR project. CRMEF is at the end of a first phase of development, this contribution answers the following research question: What are the steps of the scenario of learning with augmented reality? How to harmonize the mastery of data integration in scientifically validated 3D in the context of learning and the use of learners? For this purpose, the project aims to model and simplify the integration of AR in Regional Centers for Education and Training through anAR BANK OF OBJECTS validated by the National Scientific Committeein 3D format.
South Korea’s It-Based Tracing Strategy in Response to COVID-19: Privacy Controversies

In respond to the COVID-19 pandemic, South Korea mounted a trace, test, and treat strategy. The experience in Korea demonstrates the usefulness of an IT system in aggregating a wide range of both medical and nonmedical data in the process of containing the spread of a highly infectious disease. In doing so, the legal and technical infrastructure served as a crucial enabling factor. At the same time, certain adverse effects were observed from the measures employed.
Eigen Artificial Neural Networks.

This work has its origin in intuitive physical and statistical considerations. The problem of optimizing an artificial neural network is treated as a physical system, composed of a conservative vector force field. The derived scalar potential is a measure of the potential energy of the network, a function of the distance between predictions and targets.Starting from some analogies with wave mechanics , the description of the system is justified with an eigenvalue equation that is a variant of the Schrodinger equation, in which the potential is defined by the mutual information between inputs and targets. The weights and parameters of the network, as well as those of the state function, are varied so as to minimize energy, using an equivalent of the variational theorem of wave mechanics. The minimum energy thus obtained implies the principle of minimum mutual information (MinMI). We also propose a definition of the work produced by the force field to bring a network from an arbitrary probability distribution to the potential-constrained system. At the end of the discussion we expose a recursive procedure that allows to refine the state function and bypass some initial assumptions.The results demonstrate how the minimization of energy effectively leads to a decrease in the average error between network and target predictions.
PENERAPAN ALGORITMA RIVEST SHAMIR ADLEMAN (RSA) UNTUK MENGAMANKAN DATABASE PROGRAM KELUARGA HARAPAN (PKH)

To maintain security, encryption techniques are used so that the confidentiality of the data is guaranteed. One of the encryption algorithms that is often used is the RSA (Rivest Shamir Adleman) algorithm. On this occasion the author is interested in studying the sql server database security application. In this study, the RSA (Rivest Shamir Adleman) algorithm is used to protect the PKH (Family Hope Program) database. The system will generate public keys and private keys. To secure the PKH database is encrypted with a public key. All data will be encrypted, while the private key will decrypt or restore the original state with the RSA algorithm. The application of the RSA cryptographic algorithm is a good solution for the sql server database security system that will be used to secure the PKH database. To ensure the confidentiality of PKH data stored in the database, by using the RSA algorithm into the system, the data is stored in the database so that the contents of the data cannot be understood by other parties.
Theatrical Dialogue in the Digital Age: From Director’s Theatre to the Theatre Onscreen

Thanks to its inherent nature, theatre has been better able than other artforms to resist the challenges presented by information and digital culture, which are based on the principle of reproduction. Since a theatrical text is created anew each time, an audience can enter into a real-time dialogue with a concrete group of players recreating an authorial concept. This is true even when, as in director’s theatre, a director’s interpretation is performed by different acting companies.Today, however, the hubris of theatre critics and enthusiasts, who value unmediated dialogue as a pre-condition of theatrical pragmatics, has collided with the novel theatrical practice of live broadcasting, which was preceded by the standalone genres of radio and television plays. As a performance art, theatre possesses characteristics of a virtual object, where the information about such an object exists only in the memories of audiences or professional critics. In becoming digitised, theatre loses its former character – the uniqueness of presence in a concrete theatrical here-and-now that can never be repeated – and acquires a new mode of existence within a movie theatre represented in Russia by the Theatre HD project, which translates the theatrical educational mission into the digital age by involving new participants in creative dialogue.
Perancangan Aplikasi Game Solitarie Dengan Menerapkan Algoritma Fisher Yates Shuffle

In this increasingly advanced era, new technologies that have never been imagined have emerged more and more. Starting from the emergence of computers, cellphones, and many more. One of the new technologies that have emerged.The solitaire game application is a card game application that only sorts cards from smallest to largest so that the cards that are already open can be sorted from the smallest one to the other so that the cards that have been moved can be sorted one by one so that the game player can make it easier to play these games. The Fisher Yates Shuffle algorithm does not have a pattern, so it is more difficult to predict and the resulting pattern is more varied. The fisher yates shuffle algorithm is used to shuffle the cards so that the cards that appear have the same pattern and make the game even more exciting. Keywords : Design, Fisher Yates Shuffle Algorithm
Leaky Tiling Activations: A Simple Approach to Learning Sparse Representations Online

Recent work has shown that sparse representations---where only a small percentage of units are active---can significantly reduce interference. Those works, however, relied on relatively complex regularization or meta-learning approaches, that have only been used offline in a pre-training phase. We design an activation function that naturally produces sparse representations, and so is more amenable to online training. The idea relies on the simple approach of binning, but overcomes the two key limitations of binning: zero gradients for the flat regions almost everywhere, and lost precision---reduced discrimination---due to coarse aggregation. We introduce a Leaky Tiling Activation (LTA) that provides non-negligible gradients and produces overlap between bins that improves discrimination. We first show that LTA is robust under covariate shift in a synthetic online supervised problem, where we can vary the level of correlation and drift. Then we move to deep reinforcement learning setting and investigate both value-based and policy gradient algorithms that use neural networks with LTAs, in classic discrete control and Mujoco continuous control environments. We show that algorithms equipped with LTAs are able to learn a stable policy faster without needing target networks on most domains.
СБАЛАНСИРОВАННЫЙ ПОДХОД К ОЦЕНКЕ КАЧЕСТВА ОБРАЗОВАНИЯ

Abstract. In the context of the implementation of federal state educational standards, the urgency of the problem of compliance of the education quality assessment system with modern requirements for the educational process has increased. The aim of the study is to develop a balanced system of indicators for assessing the quality of education, corresponding to the information requests of all participants in educational relations (students, teachers, society, parents). The article substantiates the advantages of an original balanced approach that can be adapted to a specific educational organization. The introduction of a balanced assessment system will improve the quality of education.
Penerapan Metode Neighborhood-Averaging Filters (Digital Screen) Dalam Peningkatan Kualitas Pada Citra Dirgantara

In this study discusses the noise that exists in aerospace imagery. With this noise, the aerospace image is less than optimal and makes it difficult in the process of retrieving information on the image affected by noise. To eliminate noise can be done using the Neighborhood-Averanging Filters method. Neighborhood-Averanging Filters is one type of lowpass filters that works by replacing the value of a pixel in the image with the mean value (average). By doing a Neighboorhood-Averaging process it is expected to eliminate noise. The benefits of writing this research is to increase knowledge about improving the quality of aerospace imagery. The author can find out whether the Neighborhood Averaging Filters method can improve the quality of aerospace cirta. Simplify solving the problem of improving aerospace image quality so that it gets better results.
Peningkatan keterampilan membaca pemahaman melalui metode preview, questions, read, reflect, recite, review (PQ4R) pada peserta didik sekolah dasar di Surakarta.

&lt;p class="Abstract"&gt;&lt;em&gt;The &lt;/em&gt;&lt;em&gt;aim&lt;/em&gt;&lt;em&gt; of this research is improving &lt;/em&gt;&lt;em&gt;reading comprehension skill through PQ4R method. The type of this research is Classroom Action Research which held in 3 cycles. The first and second cycles held in two meetings while the third cycle only one meeting. This study takes research subjects from teacher and 3&lt;sup&gt;th&lt;/sup&gt; students in one of elementary in Surakarta. This study uses interview, observations, tests, and documentation as techniques in collecting data. Data was validated using triangulation techniques and triangulation sources. Data was analyzed using Miles and Huberman models. The results of the first cycle of action obtained by 53% classical completeness, increased in second cyecle with 81% classical completeness and third cycle with 90%. The study was stopped in third cycle because the research performance indicators had been reached. Based on these result, it can be concluded that there is an increase in reading comprehension skill in 3&lt;sup&gt;th&lt;/sup&gt; grade students after applying the method of Preview, Question, Read, Reflect, Recite, Review (PQ4R) in learning process.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
YOLOv3-based mask and face recognition algorithm for individual protection applications

To combat the spread of the COVID-19 pandemic, it is essential to strictly obey social distancing measures, as well as have the possibility to possess and wear personal protective equipment This paper proposes a mask and face recognition algorithm based on YOLOv3 for individual protection applications The proposed method processes images directly in raw data format input to a neural network trained with deep learning techniques System training was performed on a set of images appropriately obtained from the MAFA dataset by selecting those with surgical masks for a total of about 6,000 cases The performances obtained indicate 84% accuracy in recognizing a mask and 96% in the case of a face © 2020 Copyright for this paper by its authors
PEMBELAJARAN BAHASA INGGRIS SECARA DARING MELALUI YOUTUBE

English subjects have become part of the established curriculum. Especially for Junior High School and Senior High School levels in Batam City, English is useful as one of the soft skills needed today. However, the problem that arises is that not all students can use English well and fluently. The program offered for this problem is online learning. Students can study independently with materials that can upload via Youtube. The results obtained were students responded well to the materials uploaded on Youtube, so that they could improve their English skills.
Implementasi Algoritma Fungsi Hash Grostl Untuk Mendeteksi Orisinalitas Citra Digital

Image modification is the process of manipulating part or all of the image area with the help of digital image processing techniques. Image fakes are generally difficult to analyze with the naked eye because the resulting image from the image modification process is difficult to distinguish with the naked eye. The ease of creating and changing an image can damage the credibility of the authenticity of the image in various aspects, thus making it prone to be used for criminal acts because image changes in digital images can change the information conveyed to be different. This is the basis of this research to detect the authenticity of an image. The Grostl method is a hash function to detect changes in digital images, the Grostl hash function is used to determine whether an image has been modified or not. The application of the Grostl method to generate a hash code from a digital image begins by inputting the digital image as the object to be hashed. Keywords : Image Originality, Hash, Grostl
How Do I Ensure “Staff Competency” in My Pipeline Safety Management System?

Abstract Standards and regulations are clear: all staff who work on pipelines need to be both “competent” and “qualified.” Standards such as API 1173 are clear about competence within a safety management system: “The pipeline operator shall ensure that personnel whose responsibilities fall within the scope of the PSMS [Pipeline Safety Management System] have an appropriate level of competence in terms of education, training, knowledge, and experience.” The burden of defining and specifying competence falls on pipeline operators, but they have little guidance regarding the required skills, knowledge and levels of competency. Additionally, we are all biased — different operators will have different ideas and emphases on competencies, which will affect their decision-making. The only way to avoid these cognitive biases is to use consensus standards supported by rigorous surveys that capture the required competencies. This paper explores some of the more common biases that can affect decisions and presents the results of a controlled, independent, survey aimed at both specifying and quantifying the necessary competencies needed by a specific engineer working within a PSMS: a pipeline integrity engineer. The paper identifies and ranks these necessary competences. The survey was completed by 100 pipeline integrity engineers from 25 different countries. Its specific objective was to investigate the key skills and knowledge requirements needed in a junior engineering position (i.e., a pipeline engineer with less than three years of relevant experience) working under supervision to be ‘competent’. It listed eight core competencies (identified by subject matter experts) considered essential for a pipeline integrity engineer. Each of these core competencies contained a set of skills. Respondents were first asked to rank the eight core competences, and then rank the skills within the competency. An analysis of the data provides insights into how 100 pipeline integrity engineers view the key skills required to be “competent.” The results of the survey can assist pipeline companies in setting objective competency requirements for their engineering personnel, developing learning programs to address any gaps, and improve the overall safety of their pipeline system.
GAME EDUKASI NAMA-NAMA NABI DENGAN MENGGUNAKAN CONSTRUCT 2 BERBASIS ANDROID

The study of prophets is useful for knowing the history of the prophet. The learning media used in the teaching and learning process about the prophet during the Covid-19 pandemic, only in the form of printed books and the delivery of material using the application (WhatsApp). So that the delivery of the material is not conveyed all because the learning time is only 10-15 minutes which before the pandemic is 4 learning hours in one week. Furthermore, the students' interest in learning decreased as evidenced by the fact that most students were often late in collecting assignments. The method used in designing educational games for the names of the prophets using Android-based construct 2 uses the SDLC method or Software Development Life Cycle and UML (Unified Modeling Language) and uses StarUml software, Adobe Photoshop CS6, Construct 2, and Web 2 Apk Builders. The results of this study are in the form of an educational game on the names of the prophets using Android-based construct 2. From the results of the research, it can be concluded that the educational game of the names of the prophets using Android-based construct 2 can be an interesting and easy-to-understand learning medium for SDN 003 Batu Aji students, can introduce fun learning tools to students in the form of educational games, and can help improve knowledge for the disciples about the prophet.
,,,The AI Author in Litigation

Law School for their kind invitation to speak at their symposium on law, ethics, and business of data and artificial
Enhancing Information Technology for Value Added Across Economic Sectors in Sub-Saharan Africa

This study investigates how enhancing information and communication technology (ICT) affects value added across sectors in 25 countries in Sub-Saharan Africa using data for the period 1980-2014. The empirical evidence is based on the Generalised Method of Moments. The following findings are established. First, the enhancement of mobile phone and internet penetrations respectively have net negative effects on value added to the agricultural and manufacturing sectors.Second, enhancing ICT (i.e. mobile phone penetration and internet penetration) overwhelmingly has positive net effects on value added to the service sector. From an extended analysis, enhancing ICT in the agricultural and manufacturing sectors should exceed certain thresholds for value added, notably: 114.375 of mobile phone penetration per 100 people for added value in the agricultural sector and 22.625 of internet penetration per 100 people for added value in the manufacturing sector.
STRATEGI PEMBELAJARAN ESKPOSITORI: Suatu upaya meningkatkan prestasi belajar Bahasa Indonesia pada siswa kelas X-MIA 5 SMA Negeri 24 Bandung

This article is the result of research that has focused on improving student learning achievement through the application of expository learning strategies. Because it is improving, the method used is descriptive in the form of classroom action research with 36 respondents in class X-MIA 5 in SMA Negeri 24 Kota Bandung. This research has been able to prove that the application of expository learning strategies can improve student learning achievement in the material concepts of character, content, and values of the hikayat. Collaborating on group methods, simulations, and illustrations through lectures has established the application of this strategy in achieving learning objectives. In addition, classroom management techniques through uniform group guidance and motivation to students provide coloring in the success of this class action research.
Capacity Building for Fighting Cyber Wars

Cyberspace is growing at a speed unprecedented by any other commodity. Almost three billion people are now connected to the Internet through cyberspace; a figure growing rapidly and estimated to reach 5 billion people, using 50 billion IOT devices, by the year 2020. Today’s critical information infrastructure networks are key targets for cyber attack because they have grown to the point where they run the command and control systems, manage the logistics, enable the staff planning and operations, and are the backbone of the intelligence capabilities. More importantly today, most command and control systems, as well as the weapon systems themselves, are connected to the Global Information Grid (GIG) or have embedded computer chips