Reviewerly/exHarmony huggingface dataset:
Research of future masters of pedagogy’s socio-professional activity

The purpose was to conduct an empirical study of the content parameters of future masters of pedagogy’s socio-professional activity. Valid psychodiagnostic methods, purposeful observation, and statistical data processing methods were used to display relevant content parameters of socio-professional activity. With the clarification of reliable correlations, an ascertaining strategy was developed. It was revealed that respondents’ general activity (GA) had reliable connections with all parameters of motivation: internal (rs=.208; p&lt;.01), external negative (rs=.099; p&lt;.05), and external positive (rs=.128; p&lt;.05), as opposed to creative activity (CA), which was only reliably associated with internal motivation (rs=.198; p&lt;.01). It was discovered that creative activity had the most reliable correlations with the individual’s self-regulation parameters – four in total: modeling (rs=.088; p&lt;.05), programming (rs=.112; p&lt;.05), flexibility (rs=.228; p&lt;.01) and independence (rs=.245; p&lt;.01). It has been established that creative activity is essential in the development of the social and professional activity. It is concluded that it is preferential to operationalize received scientific facts into educational and professional training and professional development of future masters of pedagogy.
Emerging uses of the Research Organization Registry

Since its launch in 2019, the Research Organization Registry (ROR) has seen tremendous support from key players in the scholarly communication system, and the past year has seen a particular increase in adoption of ROR. Crossref, DataCite, and ORCID now all support ROR identifiers in their metadata schemas, and many open access publishers and data repositories are using ROR to exchange organizational affiliation information across systems. This poster will give a brief introduction to ROR and feature some notable uses of the ROR ID in order to show what is possible when systems track and share consistent organizational identifiers as open metadata in the teeming ecosystem of scholarly information. Crossref has articulated its ideal scholarly communication system in its aspirational vision of the Research Nexus, which it imagines as "A rich and reusable open network of relationships connecting research organizations, people, things, and actions; a scholarly record that the global community can build on forever, for the benefit of society." These building blocks of "research organizations, people, things, and actions" must generally be represented by machine-readable persistent identifiers in order to be made visible and useful: ROR IDs identify and disambiguate research organizations just as ORCIDs identify researchers and DOIs identify research outputs ("things") such as articles and datasets. DOIs and ORCIDs are now widely understood to be central to the scholarly communication system, but because ROR is a newer initiative, its value may not be as clearly understood. Only recently has ROR begun to be visible in the scholarly landscape, especially but not only in open access and open data projects. For instance, The Open Access Monitor &lt;https://open-access-monitor.de&gt;, a project to improve data about open access in Germany, uses ROR IDs to describe and manage organizations, which allows a user to get very rich data about the open access status of publications issued by researchers affiliated with a particular German research organization (e.g., the Max Planck Institute). OpenAlex &lt;https://openalex.org&gt;, a fully open catalog of the global research system, also uses ROR IDs to track author affiliation information: 94% of the 109,000 institutions in OpenAlex have a ROR ID. The Dryad data repository &lt;https://datadryad.org&gt; asks for institutional affiliation when a user submits a dataset and uses ROR to generate an institutional browse feature in its interface. As we try to improve the system of scholarly communication, we need to remember that research organizations should not be represented by inconsistent text strings or closed identifiers. We can ask and answer more interesting questions of the scholarly record when we can trust its organizational information.
A systematic literature evaluation on Definitions, Attitudes and Pedagogical Challenges

To find a shared understanding of what "inclusive education" means, this study looks at several different points of view from researchers in various fields.From the perspectives of students, teachers, and the general public, the attitudes section looks at the problems that teachers and students with disabilities face in today's educational systems (parents).There is also a clear plan for how to teach literature to students with different levels of background knowledge.Last but not least, a general review focused on the two main models used in this study (the social and medical models).
EXPERT SYSTEM DIAGNOSIS OF KIDNEY DISEASE USING FORWARD CHAINING

Kidney disease is a disease that is often experienced by people aged over 50 years. Several factors that cause kidney disease include hypertension, diabetes, obesity, smoking and family history of kidney disease sufferers. As many as 42,000 people per year die from kidney disease. Sufferers in Indonesia, which is estimated by the Ministry of Health, based on the 2013-2018 Basic Health Research (Riset Kesehatan Dasar (RIKESDA)) the number of patients experiencing kidney disease symptoms continues to grow to reach 739,208 people in 2013 while chronic kidney sufferers. It was recorded that in 2020 BPJS Kesehatan spent a large enough budget for kidney failure patients as many as 1,763,260 patients. The high number of patients with kidney disease was due to a lack of physical activity and consumption of healthy foods and fruits and vegetables. Therefore, it is necessary to detect as early as possible to prevent the onset of kidney disease. Technology is one of the disseminations of good information in handling kidney disease. This study aims to build an expert system for diagnosing kidney disease. The results of the research on an expert system for diagnosing kidney disease based on a website that can be accessed by the public by providing information on the detection of kidney disease symptoms with 27 symptoms. The process of tracking symptoms using forward chaining. Conclusion tests carried out using black box and usability testing have been running well, as seen from the input and output functionality on the system used by the user. In addition, the expert system helps in providing information to the public to detect the symptoms of kidney disease as early as possible.
Keefektifan Permainan Monopoli Dalam Pembelajaran Kosakata Bahasa Jepang Siswa Kelas Viii Smp Ylpi Perhentian Marpoyan

Japanese is one of the foreign languages that is applied at several levels of education in Indonesia. For beginners, learning Japanese is taught in the form of katakana letters, hiragana letters, basic kanji letters, vocabulary, and basic grammar. The large number of vocabulary in each learning material causes students to have difficulty remembering every vocabulary learned, due to the limited media in teaching vocabulary, and the lack of precise methods used by the teacher in the teaching and learning process. One of the media used is the game. This study aims to describe 1.) To describe the vocabulary mastery of students of SMP YLPI Perhentian Marpoyan class VIII before the application of the game of monopoly; 2.) Describing the vocabulary mastery of students of SMP YLPI Perhentian Marpoyan class VIII after the application of the game of monopoly; 3.) Describe the significance level of the game of monopoly on the ability of Japanese vocabulary mastery of students of SMP YLPI Perhentian Marpoyan class VIII. The results showed that 1.) Prior to the application of the game of monopoly, the average pretest achieved by students was 39.3 in the very poor category; 2.) After the implementation of the monopoly game, the average posttest achieved by students was 85.3 with a very good category; 3.) The significance level of the monopoly game is known that the value of sig (2 - tailed) is 0.000 &lt; 0.05
EXPERT SYSTEM FOR DIAGNOSIS OF STUDENTS ANXIETY LEVEL IN THE UNDERGRADUATE THESIS PREPARATION USING CERTAINTY FACTOR METHOD

The level of student anxiety when compiling a thesis impacts the length of the lecture process. The number of clinical psychologists not proportional to the number of students in East Nusa Tenggara causes many students not to consult a psychologist. An expert system for diagnosing student anxiety levels using the certainty factor method with a HARS scale for 14 criteria and 81 symptoms will help students analyze their anxiety levels. The results of the study based on 300 student data obtained that the accuracy of the expert and system results was 100%, where the more extended the study period, the higher the level of anxiety in students.
Persepsi Mahasiswa UM-Sorong Terhadap Kuliah Online Saat Wabah Covid-19 di Kota Sorong

This study tries to determine students' perceptions of online lectures, and to find out the supporting and inhibiting factors in online lectures. The data collection technique used in this study was by means of field research consisting of observations, interviews, and documentation as well as the distribution of questionnaires via google drive. patterns of life and interactions due to the application of online learning. Online lectures using various advanced features cannot replace the role of lecturers through face-to-face lectures, because they provide more motivation and enthusiasm for students to learn than attending lectures through distance lectures (online). Considering that the current pattern of interaction and learning among students is different, and they are also in the adjustment stage. This can be concluded as a complex problem, about the social reality that has occurred and is predicted among students.
Sistem Informasi Buku Tamu Perpustakaan Menggunakan QR Code Berbasis PHP Pada STIKes Syedza Saintika

The role of science and technology in all sectors, including education, is now well established. STIKes Syedza Saintika has a comprehensive library and various visiting activities, however at present moment, student visits are still manually documented in the library's visitor book, which takes time to fill out and is still reviewed on a regular basis while performing a summary of the visit. Of course, a manual method is prone to mistakes, but a technology-based library guest book system employing a QR Code is not. Based on the aforementioned issues, a library visitor book system utilizing a QR Code is required, which is projected to reduce mistakes and give ease to students and librarians in processing library visit data. A System Development Life Cycle (SDLC) design is used in this investigation. This study develops a QR Code-based guest book information system for library visits, which aids students and librarians in handling guest book data.
Impact of Social Media Platforms as a Learning Tool on Management Students

Social media usage is rapidly growing and influencing younger minds. The algorithms that they use for increasing the users’ screen time give rise to a variety of content. This paper deals with the relation of usage of different social media platforms and how useful management students feel or use these social media platforms as a learning tool. The paper starts with how social media usage is increasing and connecting people. The paper is built on primary research in which a questionnaire was circulated through online sources to management students and graduates to find out their viewpoints on the impact of social media as a learning tool. The data collected was analyzed and interpreted that students are highly using social media platforms and the majority of the students are using these platforms as a learning tool for attaining different skill sets.
COST EFFICIENCY COMPARISON ANALYSIS OF USING LINUX CLEAROS AND MICROTIK FOR SOHO NEEDS

Currently, various sectors of life and organizations require the availability of computer networks and the internet to be able to provide faster and optimal services, one of which is the Small Office Home Office (SOHO). Internet access requires management so that the internet network can be allocated according to the needs of each field and requires cost calculations according to the ability of the organization. Linux ClearOS and Mikrotik are two operating system platforms commonly used for network management, including SOHO. The test was conducted in the form of a comparison between ClearOS Linux and Mikrotik in terms of cost, basic network capabilities (bandwidth manager, wifi, proxy, load balancing, user management), availability of security features, and additional device requirements. The test results show that for the same needs on SOHO, Linux ClearOS has advantages in terms of lower costs and complete features, so it is more recommended than Mikrotik
Modeling and Simulation of Unmanned Driving System for Load Haul Dump Vehicles in Underground Mines

This paper proposes the modeling and simulation of the unmanned driving system for underground load haul dump vehicles based on Gazebo/Ros. Firstly, the kinematics model of the load haul dump vehicle is derived. Then, the model of each part of the load haul dump vehicle is established based on SolidWorks and the model of the load haul dump vehicle is established by connecting the parts through a unified robot description format (URDF) file. Finally, the laneway model is established by using alpha shape to realize the modeling of the operating environment of the load haul dump vehicle. The speed, angular speed, bucket lifting, and bucket flipping of the load haul dump vehicle are controlled using PID. The experimental results show that: The control errors of the speed and angular speed of the load haul dump vehicle are 0.283 m/s and 0.010 rad/s, respectively. The control error of the lifting bucket is 0.025 m and that of the flipping bucket is 0.015 m. The angular velocity control error of the simulation system relative to the actual system is 0.330 and 0.106 m/s, respectively. The error between the SLAM of the simulation system and the actual system and the measured value is 0.917 and 3.44 m, respectively. The control performance of the load haul dump vehicle in the simulation system is good. Therefore, automatic driving algorithms can be studied and tested in this simulation platform.
Technology-Enhanced Collaborative and Blended Learning Ensemble Learning: An Approach in Artificial Intelligence

Progressive teaching methods are methods of improving teaching and learning performance. A variety of innovative teaching methods are now in use around the world. In addition to face-to-face classes, hybrid classes also include e-learning. The use of technology and multimedia is detailed. It covers the use of smart devices for various tasks such as teaching, designing surveys, assessing students, providing feedback, and research methodology. The application of innovative teaching and learning methods is very important if we want to inspire and arouse students' desire and enthusiasm for learning. The role of education is not only for faculty to teach, but to make it understandable to students from diverse cultural and linguistic backgrounds and to quickly familiarize them with the standards expected of them. It's common for students to drop grades because they don't know what level they're at or what their instructor expects of them. Teachers should therefore strive to use innovative methods in such a way that the student's learning process is as fluid as possible and the methodologies used are conducive to learning. Innovative teaching and learning methods such as short lectures, simulations, role-plays, portfolio development, and problem-based learning (PBL) are helping to keep pace with rapid technological advances and develop the jobs needed in the near future. Decades ago, in the field of machine learning and data mining, the development of methods of ensemble learning received significant attention from the science community. Machine integration techniques incorporate multiple learning acquisition skills and better performance of guesswork than you would find in any available learning skills alone. Combining multiple learning models is demonstrated in thought and experimentation providing better performance than single-foundation students. In a book, mix learning algorithms form a dominant and high-level approach to high throughput performance, thus applied to real-world problems ranging from face-face-to-facetional recognition through classification and medical diagnosis in financial forecasting.
Pendampingan Keterampilan Berbahasa dengan Pendekatan Komunikatif-Integratif pada Siswa Panti Asuhan Anugerah Bengkayang Daerah Perbatasan

This service program aims to improve language skills for elementary and junior high school students at Anugerah Bengkayang Orphanage in border areas. This program used an integrative communicative method with a pattern of mentoring. It was implemented during the 2-month service. The students who became the subject of mentoring were 21 students with details from 8 elementary schools and 13 junior high schools. The evaluation instrument for this activity was a questionnaire that was analyzed descriptively. The service activity results showed that the Anugerah Bengkayang Orphanage students were delighted with the mentoring program. Besides, four basic skills in language were well understood: Listening Skills, Reading Skills, Speaking Skills, and Writing Skills.
Digital Platform Skills for Teachers in Public Primary Schools in Homa Bay County, Kenya

Purpose: The purpose of this study was to establish the readiness of headteachers and teachers in integrating Digital Literacy Programme (DLP) in teaching and learning in public primary schools in Homa Bay County, Kenya. Digital Literacy Programme was a project that was introduced and funded by the Government of Kenya for all public primary schools in Kenya.&#x0D; Methodology: The study adopted both qualitative and quantitative survey research designs. A population of 845 head teachers and 6529 teachers were involved in the study. Some 85 head teachers and 362 teachers were sampled for the study. Questionnaires and interviews were the main research instruments used for the study. The reliability coefficient for the piloted teachers stood at 0.96 while that of the head teachers’ coefficient was reported at 0.95. The quantitative research data was analyzed using SPSS and presented in tables, frequencies and percentages. Interviews were recorded, transcribed, organized into main themes and reported.&#x0D; Findings: Majority of the respondents who were teachers, (41.6%), could only write using a digital device. Most head teachers, (34.2%), preferred tablets contrary to the preference of the majority of teachers, 31.4%, who cited desktop computers for online teaching and learning. The study also revealed that the majority of teachers and head teachers felt insecure with the digital devices in schools.&#x0D; Unique Contribution to Theory, Policy and Practice: Introduction of digital learning in the Kenyan education sector did not meet the required threshold but was timely. Challenges were met here and there. Both teachers and headteachers were struggling to cope with the modern teaching and methods that required the integration of technology in the teaching and learning process. However, with continuous practice, the digital gaps were set to close in Kenyan schools. In line with the Kenyan ICT Policy of 2006 on electronic learning, the promotion and development of content to address the educational needs of primary, secondary and tertiary institutions in Kenya needed to be emphasized.
Strategi Guru dalam Pengembangan Logika Anak Usia Dini

One type of intelligence that is very important and must be possessed by children is mathematical logic. This study aims to describe effective and efficient strategies that can be implemented by teachers in growing, stimulating and developing mathematical logic intelligence and logical thinking in early childhood at the Pembina Village Kindergarten in Pendahara Village. The method used in this research is descriptive qualitative. The results of the study illustrate that the teacher s strategy in choosing children s learning methods is very important. The development of early childhood logic can be stimulated by learning activities by finding patterns and finding logistical relationships combined with appropriate and fun learning methods.
Analysis of Data Mining Model for Successful Implementation of Data Warehouse in Tertiary Institutions (A Case Study of Irahim Badamasi Babangida University)

This research work with title “analysis of data mining model for successful implementation of data warehouse in tertiary institutions” is a proposal that provides a framework that is used to structure, plan, and control the process involved in information discovery for tertiary institutions. It equally deals with series of steps or procedures which governs the analysis and design of this particular Data Mining Model for Tertiary Institutions. The methods, techniques and procedures which are used to collect and analyze information were also provided and implemented. Object oriented Analysis and Design methodology (OOADM) was deployed to develop this model. The current system was analysed by using Use Case approach to identify the existing objects in the current system. Use Case diagrams were equally developed and the relationship between the objects was drawn. A diagram was drawn to represent the identified problems. Finally, the High-Level Model (HLM) that would be used to design the proposed system was drawn to enable the System Designer to develop a computer-based model that forecasts educational behaviours with little or no user intervention.
Analisis Implementasi Kebijakan Pro Poor Budgeting pada Program Kartu Indonesia Pintar Terhadap Penerima Program Kartu Indonesia Pintar (Studi Kasus Mahasiswa S-1 Akuntansi Universitas Pembangunan Nasional “Veteran” Jawa Timur Angkatan 2021)

This study aims to reveal the implementation of pro poor budgetting policy of Kartu Indonesia Pintar program in order to reach education equality. The method of the study is descriptive qualitative. The research was conducted at UPN Veteran East Java. The informans were those who gets the benefit of Kartu Indonesia Pintar program, the student of S-1 Acountant program year periode 2021. The data was collected by observation, detail interview, and documentation (the pictures of student's residences). The result of the study will reveal that the pro poor budgetting policy has been applied in Kartu Indonesia Pintar program toward students of S-1 acountant program, 2021; and it can be stated that it has reached out the right target. So, it is in accordance to the government's resposibility that is to give every citizenship equal right of having education in order to enrich the quality and the benefit of government support entirely.