Reviewerly/exHarmony huggingface dataset:
UPAYA MENINGKATKAN HASIL BELAJAR PESERTA DIDIK DENGAN MENGGUNAKAN MODEL DISCOVERY LEARNING PADA MATA PELAJARAN MATEMATIKA KELAS IXA SMPN 4 TAPUNG HILIR TAHUN PELAJARAN 2019/2020

This class action research aims to describe the learning outcomes of students before participating in the learning process by using the discovery learning model, class IXA SMPN 4 Tapung Hilir on mathematics learning material on the Cone Volume; describe the learning activities of students as long as students follow the learning by using the discovery learning model, class IXA SMPN 4 Tapung Hilir on the learning of mathematics material Cone Volume; describe the improvement in student learning outcomes after students follow the learning process by using the discovery learning model, class IXA SMPN 4 Tapung Hilir on mathematics learning material Cone Volume. The design set in this study is classroom action research. In class action research in general there are four stages that are commonly passed, namely planning, implementing, observing, and reflecting. The initial condition of students is when students have not received learning by using the Discovery Learning learning model. The initial data used is the data of students' daily test scores which are still low and many are incomplete from the minimum completeness criteria (KKM), which is equal to 51.72% of students not completing completeness. In the test results in the first cycle, students who reached KKM totaled 23 people with the highest score of 100 as many as 2 people and the lowest score of 65 as many as 6 people. From the results of the assessment conducted in the first cycle that is obtained a value of 65-71 with a frequency of 13 (44.84%), a value of 72-78 with a frequency of 5 (17.24%), a value of 79-85 with a frequency of 5 (17.24% ), a value of 86-92 with a frequency of 3 (10.34%), a value of 93-100 with a frequency of 3 (10.34%).
Design of King Glory’s Game Query System Based on Python

The King Glory is a multiplayer tower defense sports game. This paper is based on Python to implement a game hero information query system. First, the crawler technology is used to get the hero information from the webpage, then the layered architecture is used to develop the software system and experiment on two computers. The user selects the specified hero name in the client interface to get the hero's title and skill information. The experimental results show that the system can query the details of the hero skills in the game.
Rancang Bangun Protoype Robot Navigasi Pemadam Api di Bandar Udara

In aviation engineering, Aviation Safety must be an extreme concern for the government as a regulator / facilitator, each component of the Airport sub-system in conducting its operations must still prioritize flight safety and safety. In this case the supporting components and the utilization of AI technology are felt to be very necessary in order to complete the needs will Fulfill Flight Safety by utilizing robots as a medium. In general, robots can be defined as a mechanical device that is able to do human work or behave like humans. One of the human jobs that can be done by robots is fire fighting activities. In this study, researchers designed a Fire Extinguisher Robot to find and extinguish fire. The design of this robot uses an ultrasonic sensor HC-SR04 as a parameter for the robot's path when there are objects around and a fire sensor module as a detector for the presence of fire this robot uses MG995 servo that is useful as a controller hose from the water pump. The circuit in this robot has important components, the Arduino microcontroller functions as the brain of the robot and the L298P Motor Shield Driver functions as a DC motor drive module. If the robot detects a fire while walking, the robot will stop and extinguish the fire using water and candles are used as a fire simulation when a fire is happening.
Analysis of the Impact of Universities on the Innovative Development of Russian Regions

The modern post-industrial world, in which information is one of the main factors of production, and the economy is becoming more and more connected with the achievements of science and scientific and technological progress, is impossible to imagine without higher education.The role of higher education has now increased significantly: if earlier it was perceived mainly as a way of training personnel, now universities are also scientific centers, they are actively included in the innovative development of the territory and can determine its attractiveness for doing business and investing.To actively include the higher education system in the process of innovative development of the country, a large-scale reform is currently underway, which includes including the formation of new institutions of higher education -federal and national research universities.It is assumed that these universities can really become competitive both domestically and on the world stage by the scientific and educational centers of our country, actively involved in the innovative development of the Russian economy.
A RSA algorithm simulation method using C language

In order to solve the problem that data leakage is existed in the Internet era, this paper uses RSA algorithm to encrypt data. First, the basic concepts of cryptography are proposed, and then the basic principles of the RSA algorithm are given. This paper uses C language to simulate RSA algorithm and C/S structure to realize ciphertext transmission. Experimental results show that the RSA algorithm can be used to encrypt data.
THE EFFECTIVENESS OF GALERY WALK TECHNIQUE TOWARD GRAMMAR COMPETENCE OF ENGLISH DEPARTMENT STUDENTS OF UNHASY

Almost all of the students who learn English assume that learning grammar of English is not so important. They often think that their English is already acceptable in every condition without good grammar. This assumption makes their care on how important grammar is for their English less. It causes their grammar competence becomes low. Besides, the lecturer’s way of teaching which is not interesting also gives contribution to this low competence. This pre-experimental research was done by implementing gallery walk technique which is believed as an interesting and challenging teaching technique in intermediate English grammar class. The objectives of this research were to know: (1) the students’ grammar competence before the implementation of gallery walk technique, (2) the students’ competence on grammar after being taught by using GWT and (3) the effectiveness of GWT towards students’ grammar competence. The population of this study was two classes of the third semester students of English language eduacation department of UNHASY in the academic year of 2019/2020. The sample was class B comprising of 19 students by using purposive sampling. The students’ average score of grammar before GWT was applied was 67. After GWT was implemented, their mean score of grammar became 73. Because the value of sig. (2-tailed) was lower than 0.05, it showed that the improvement of the average results of pretest and posttest was significantly different. Then, it came to the conclusion that GWT was effective for teaching grammar.
Dissertation defense board of St. Petersburg State Institute of Culture: 1938−2018

The history of the first in the country dissertation defense board, established at the N. K. Krupskaya Communist Institute of Political Education (today – St.Petersburg State Institute of Culture) is examined. The Board was established to review the theses in librarianship and bibliography. The analysis is based on the bibliography of dissertations defended during 80 years: the bibliography comprises 592 works. The main historical stages of the board are characterized; data on the number of doctor and candidate defenses during various periods is given. Several doctorate theses that made serious impact in the library and information sector are characterized; the geography of degree applicants (USSR republics, Asian, African, Latin American states) is analyzed; the subject scope of their investigations is discussed. The main research vectors and the most efficient supervisors are named. The author reveals the links between the defended dissertations and the Institute’s area of studies and scholar schools in the library and information sciences. The reasons for decreasing number of theses and changing subject scope are discussed.
“Portrait” of a Child with Disabilities in a Modern Educational Environment: Clinical, Psychological, and Pedagogical Characteristics and Determinants

The introduction of Federal state educational standards for students with disabilities into Russian pedagogical practice and the emergence of variable forms of education suggest the need to clarify the characteristics of the modern population of children with various disorders of psychophysical development.Changes in the ingrained ideas about the typical phenomenology of manifestations of various variants of mental dysontogenesis, the nature, causes and mechanisms of learning difficulties, social adaptation and socialization of children with disabilities, seem inevitable and natural.Changes in the level of population characteristics of psychosocial development of various categories of such children can be considered as manifestations of "social pathomorphosis", which modifies the habitual features of not only a "special child", but also a child with conditionally normative development.At the same time, the role of social factors concentrated in the educational environment is, for many reasons, the leading one.The study of their role and assessment of the likely impact on the quality of education and psychosocial development of children with disabilities is a necessary condition for optimizing correctional and pedagogical activities.The possibility of solving these problems is associated with conducting longitudinal clinical, psychological and pedagogical research of children with disabilities who are studying in modern educational conditions.
A PROCESS-ORIENTED MODEL FOR THE FORMATION OF SELF-EXPRESSION SKILLS IN TEACHING MUSIC TO PUPILS OF THE PRIMARY EDUCATION STAGE

The concept of self-expression is used to describe contemporary culture, linking it to positive concepts, the interaction of the individual and the environment. Emotional and cognitive needs, based on personal experience, cultural and environmental situations and events in a rapidly changing social environment, play an important role in the development of self-expression skills. An aim of the article: to substantiate the process-oriented model of pupil self-expression skills formation and to analyze its approbation results - pupil learning achievement dynamics and learning process transformation in music education. Research methods: analysis of scientific literature, analysis of documents, statistical analysis of learning achievements.
Interpreting GI histopathology results from top to bottom

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DECISION SELECTION MODEL OF LANDING BEACH IN AMPHIBIOUS OPERATIONS EXCERCISE WITH FUZZY MCDM

To determine the ideal landing beaches in amphibious operations must meet the requirements / criteria that have been determined, because it serves as an important component in the choice of landing beaches. The criteria include the type of beach, gradient beach, the basic material of beach, long beach landings, the type of breaking waves, tide, the kind of obstacles beach, ocean currents, the field behind the beach, the reference point mark landing beaches and access to the exit / entrance beach , In determining the selection of the landing beaches Marine / Navy had not done the calculation / mathematical model and not using a scientific method, such instances it is necessary to make a decision-making model in the case of election of the landing beaches in amphibious operations exercise. This study aims to determine the location of the landing beachesusing Fuzzy MCDM. The use of this method is the solution to produce a more objective group decision in the selection of an amphibious landing beach which data are accurate and reliable to help solve problems that are multi-criteria. There are 11 (eleven) criteria and 4 (four) alternatives identified in this study. Of the 11 criteria which have the highest weighting criteria for the alternative chosen in the first rank third alternative, namely PPD 3.&#x0D; Keywords: Amphibious Operations, Fuzzy MCDM, Criteria and Alternatives.
PROFESSIONAL TRAINING PHENOMENON IN THE NATIVE VIEWS APPROACH

Modern global trends in the development of innovative scientific researches 8 8
Movie Recommendation System Approaches

A Movie Recommendation system is a system that provides movie suggestions to users based on some dataset.Such a system will predict what movies a user will like based on the attributes of previously liked movies by that user.Content-Based recommendations have long been in fashion but they tend to overlook some great suggestions that may not be covered by mere cosine similarities.To overcome such shortcomings, we will combine collaborative filtering techniques having a User-User matrix with neural networks to provide users(who have already rated movies previously) with appropriate suggestions.
“You Need to Make it as Easy as Possible for Me”: Creating Scholarly Communication Reports for Liaison Librarians

INTRODUCTION The typical trifecta of liaison librarian positions (collections, reference, and teaching) is shifting to include additional skillsets and competencies, particularly scholarly communications. While liaison librarians adapt to these changing roles, the question of how to upskill and train liaison librarians in scholarly communications is timely and still in flux. The lack of time required to improve these competencies and skills is an oft-cited challenge. DESCRIPTION OF PROJECT To address the challenge of lack of time, this article describes a pilot project undertaken with the aid of a Master of Information Studies practicum student to create scholarly communications reports for liaison librarians. These reports provide background knowledge and discipline-specific information about the scholarly communications landscape, particularly within the institutional context. The goal of the reports is to provide liaison librarians with greater contextual knowledge of their disciplines and the publishing patterns within their departments. This article will discuss the methodology behind creating these reports as well as feedback from liaison librarians on their relevance and potential use. NEXT STEPS The initial pilot was promising, however using a practicum student to create such reports may not be sustainable. Other possibilities include holding “research report retreats” for liaisonlibrarians to complete their own reports with a scholarly communications expert on hand. Additionally, institutions without a master’s program in library and information studies could consider the creation and updating of such reports as a backup project for existing fulltime or student staff.
PENERAPAN PERANGKAT PEMBELAJARAN MODEL QUANTUM LEARNING TERHADAP HASIL BELAJAR SISWA KELAS X SMA KARTIKA XIII-1 AMBON

Background: Quantum learning model is a set of learning models that are proven to be effectively applied in schools. This study aims to determine the application of biological learning devices using quantum learning models to the learning outcomes of virus material can improve student learning outcomes in class X SMA Kartika XIII-1 Ambon.&#x0D; Method: This type of research is descriptive type. The population in this study is SMA Kartika XIII-1 Ambon. The samples in this study were all students of class X MIA SMA Kartika XIII-1 Ambon, amounting to 16 students. The data obtained were analyzed descriptively and inferentially.&#x0D; Results: In the cognitive aspect of 16 students there were 5 students with a percentage (31.25%) getting grades (85-100) with very good qualifications and 11 students with a percentage (68.75%) getting grades (77-84) with qualifications well. Affective aspects, where at intervals of 77-84 there are 13 students (81.25%), 3 students score at intervals of 70-76 (18.75%) who have this value with complete qualifications. Psychomotor aspects, where at intervals of ≥70 there are 16 students (100%) who have grades with complete qualifications.&#x0D; Conclusion: The level of student success viewed from cognitive, affective, and psychomotor aspects. This is in accordance with the analysis data and the percentage data obtained at the initial test was 65.31% while the final percentage of the test produced was 79.68%.
Menace of Cyber Interference and Paradigm Shift in Election Security: Assessing the Fate of Democratic Election in Nigeria

The contemporary election has witnessed tremendous changes in its security context, administration, delivery and management as a result of cyberspace and technology interference in democratic process. The noticeable trends in election security has remained the rapid movement more and more away from the regimented physical policing system which is characterised by technological ineptitude and corruption in Nigeria toward cyber security which is more efficient and effective. This study argues that cyber interference in election is imminent as more election management bodies (EMBs) continue to deploy the use of ICT and other cyber technologies for data/election material safety, efficient and cost effectiveness in management of democratic elections. However, the critical challenges remain how to curtail threats to election security created by deployment of new technologies to conduct and manage election. Given the incessant and looming danger of cyber-attack in terms of ransomeware, phishing and hacking that is gradually crippling the ability of modern states to conduct credible election. Nigerian government must create discerning approach to control excessiveness of cyber interference in its election while annexing its benefits to the fullest.
FloNa: Children Educational App for Indonesian Endangered Species Based on Augmented Reality

Indonesia has an enormous number of endangered species of flora (plants) as well as fauna (animals). Several factors influence endangered species such as lack of early education in this problem. Whereas, children, especially in school ages, have the most potential role in the future to solve this problem. To influence the behavior and attitudes of children towards wildlife, Conservation Education is the solution. By providing appropriate and effective conservation education, future conservation behavior can change in a positive direction. To address this opportunity, we proposed FloNa, a mobile app to educate children about Indonesian endangered species. FloNa is empowered by augmented reality to help children imagine and observe the real form of endangered plants and animals. Furthermore, we conducted experiments to analyze the efficiency of this app to overcome this problem. The alpha testing result shows that FloNa has a robust design and implementation. Moreover, from the beta testing result, we could conclude that FloNa could significantly support and promote endangered species conservation education for children in Indonesia.
Clustering for Searching Type of House Suitable for New Consumer Candidates Using K-Means Clustering Method (case Study of PT. Maxima Jaya Perkasa)

For some Indonesian people, housing is one of the secondary needs, so that in choosing the right housingmust be in accordance with the wishes of consumers. With the existence of PT. Maxima Jaya Perkasa, which waspioneered since 2012, in which the data on housing sales in the company has increased rapidly each year. Then datamining analysis can be done using the K-means Clustering method. K-means Clustering is a method of clustering nonhierarchicaldata which seeks to partition existing data into two or more groups. This method partitioned the data intogroups so that the data with the same characteristics were entered into the same group and the data with differentcharacteristics were grouped into other groups. This study uses data such as salary income, age, status, house pricesand mortgage payments. The results of this study were conducted twice using 12 training data training data and 100training data plus 1 as test data and obtained an accuracy value of 83% and error of 17%.
Applying Skimming Strategy in Teaching Reading Descriptive Text

Reading is an important activity to enrich knowledge. However, it is considered as a difficult skill to learn. There are many students facing difficulties in comprehending the content of the reading text, including descriptive text. A strategy which can solve such problems is needed. Skimming strategy is the strategy which enable students to quickly find the main idea and relevant information of the text. Based on those reasons, the research questions are proposed as follows: (1) How can skimming strategy be implemented in teaching reading descriptive texts? and (2) How can the second year students’ reading comprehension ability be improved using skimming strategy? This study used two research methods. Those were qualitative and quantitative research design. They were collected to prove the implementation and the significant improvement by using skimming strategy. Both numeric information and the real observation were evaluated to gain clear and strong data. The researcher acted as the observer to see the process of teaching and learning descriptive texts in three stages. The results of the research showed that the teacher and students implemented four steps of skimming strategy, which are: (1) read the first several paragraph; (2) leave out material; (3) find the main ideas; (4) read fast. The t-test of this research was also calculated to see whether there was a significant difference between control and experimental class and the mean was also measured to see the students’ improvement score. The mean score of experimental class was better than the mean score of control class. However, the t-test result showed that there was no significant difference between experimental and control class.
Expression Recognition Based on Multi-feature Fusion of Peak-neutral Differences

Facial Expression Recognition (FER) is an important research direction of pattern recognition. This paper proposes a multi-feature fusion network based on peak-neutral difference (MFPND). The network consists of two branches: One branch extracts the local features of the expression changes from the partial image, and the other branch extracts the global features of the expression changes from the entire image. In this model, Local features describe the details of expression changes, which are fused by geometric spatial features and Local Binary Pattern (LBP) features. The global features describe high-level semantic information, which is extracted by the Siamese network composed of Convolutional Neural Networks (CNN). Before classifying, we combined local features with global features. Compared with most current methods of single feature type, these two features represent expression information of different scales, and this model can more comprehensively and effectively represent expression changes. In addition, in the training phase, a new pooling strategy is proposed to deal with disturbances such as illumination and noise during expression changes, which is called intensity transformation-invariant pooling (ITI-pooling). Experiments were performed on the extended Cohn±Kanade (CK+) face recognition database and the Oulu-CASIA data set.