Reviewerly/exHarmony huggingface dataset:
Pengaruh Penerapan Sistem Informasi Akuntansi Dalam Pembayaran Registrasi Di Universitas Raharja

The main problem in this study is the influence of the application of an accounting information system at the time of making a registration payment, the level of timeliness obtained after making a registration payment with notification / notification that the registration payment has been paid, the information presented in the system when you want to pay for registration and have paid for registration. . The reason for carrying out this research is to analyze the effect of the application of accounting information systems in registration payments at the University of Raharja. The research method used is a quantitative method using an online questionnaire. The calculation used is multiple regression assisted by SPSS (Statistical Product and Service Solution). Meanwhile, the simultaneous application of accounting information systems and registration payments has an effect on participation. It can be seen that the effect of applying accounting information systems in registration payments at Raharja University has a positive and significant effect. Prospects for this research are useful to be developed in further research.
REVERIE Virtual Hangout

Social media sites have gained popularity in the past decade by enabling people to create and share content online easily. However, social media cannot engage users on a level beyond content prosumption to create immersive experiences. A promising technology to create such experiences is multimodal virtual reality. REVERIE is a multimodal framework with an integrated workflow for developing immersive experiences, including various forms of virtual representation of human users (e.g., replicas and avatars). To demonstrate the social and collaborative capabilities of the framework, the authors created the Virtual Hangout. It features a VE where people can meet online to socialise and collaborate. This paper presents a study designed to evaluate user immersion using participants with variable computer skills. The results showed that participants experienced engagement-based immersion but not presence. Barriers to immersion were the absence of pleasurable interactions and the participants' computer skills. The authors propose DGs for deeply immersive experiences in Virtual Hangout and similar systems.
HUBUNGAN SIKAP SOSIAL SISWA DENGAN PRESTASI BELAJAR DI SD BINA BUDI MULIA MALANG

This research aims to determine the level of social attitudes at SD Bina Budi Mulia Malang, to determine the relationship of social attitudes to learning achievement. The research using census research design with quantitative descriptive methods. The data obtained from the questionnaire distribution analyzed using a Likert scale and Pearson correlation coefficient with t-test and document data in form of values. The results of this study indicate that there is a significant relationship between social attitudes and learning achievement. From the results of the study obtained a significant value of responsibility attitude with 85%, honest attitude with 86%, discipline attitude witSh 85%, caring attitude with 64%, polite attitude with 91% and self-confidence with 84% achievement. The correlation coefficient value of the relationship between social attitudes and learning achievement is 0.619 so it can be concluded that there is a significant linear relationship between social attitudes (X) and learning achievement (Y).
Algorithmic Suite

In this chapter, new algorithms are developed or the formerly developed algorithms are improved with an aim to operationalize our formal framework (Chap. 3 ) for computation. It results in an algorithmic suite for terminological saturation detection and measurement as a computational method. The algorithms developed in this chapter and implemented in the software suite are further used in the experimental evaluation of the developed computational method in Chap. 5 and in our use cases presented in Chap. 6. The software suite has been made publicly available for research purposes.
Operational Security Agitations in Cloud Computing

Cloud computing is the magical paradigm that eases the computing process and attracts a wide range of users ranging from the common man to huge IT tycoons to utilize this resource. The pay-per-use property of cloud computing attracts many IT organizations to migrate their business processes from physical infrastructure to cloud computing storage services. This benefits the IT organizations in saving the installation and maintenance costs, as the storage maintenance is performed by the service provider. The cloud service provider provides access to users on successful verification of their authentication credentials. The users of cloud computing technology experience the essence of pay per usage, limitless utilization, and virtualized infrastructure that reduces the implementation and maintenance costs. Cloud computing is a technology that increases the scalability and incorporates folded in features through virtualization process. The major setback for cloud computing is its security policies which are vulnerable to various types of attacks which are discussed in this chapter. The security policy violations and data breaches make sensitive data to lose their integrity and data confidentiality. Cloud computing when being vulnerable to attacks deteriorates the growth of business and the economy, as most companies rely on cloud computing for their business processes and financial transactions. The increase in advanced technology for launching different types of attacks motivates to identify the technical solutions for improving the strength of authentication process and for safeguarding the data assets of the cloud resources. This chapter explains the different types of vulnerability of cloud computing and various methodologies using cryptographic algorithms proposed to break these vulnerabilities and to strengthen the security policy of cloud computing.
Detection Approach Based on an Improved Yolov5 for Catenary Support Components

It is crucial to grasp the status of all the catenary support components along the high-speed railway in real time, and thus conduct efficient fault detection to ensure the safety and stability of the catenary equipment. Therefore, in order to study the positioning and bad state detection of the support suspension device of the high-speed rail catenary, so as to improve the efficiency and automation level of components fault detection, a Yolov5 detection network combining the attention mechanism is proposed, called CA-Yolov5. The attention module is continuously added to the last three convolutional networks of different scales of Yolov5. The mechanism of embedding location information into channel attention can effectively improve the convolutional feature expression ability of the network, and guide the model to learn different channel weights without ignoring the importance of location information. Experiments show that the localization accuracy of 12 categories CSCs (Catenary support components) most performs better when compared with some recent representative networks, thus demonstrating the effectiveness of the proposed method.
Exploration on Scientific Research Data-Targeted Intelligent Recommendation System Using Machine Learning Under the Background of Sustainable Development

The purpose is to provide researchers with reliable Scientific Research Data (SRD) from the massive amounts of research data to establish a sustainable Scientific Research (SR) environment. Specifically, the present work proposes establishing an Intelligent Recommendation System (IRS) based on Machine Learning (ML) algorithm and SRD. Firstly, the IRS is established over ML technology. Then, based on user Psychology and Collaborative Filtering (CF) recommendation algorithm, a hybrid algorithm [namely, Content-Based Recommendation-Collaborative Filtering (CBR-CF)] is established to improve the utilization efficiency of SRD and Sustainable Development (SD) of SR. Consequently, the present work designs literature and SRD-targeted IRS using the hybrid recommendation under the background of SD. The proposed system's feasibility is analyzed through experiments. Additionally, the system performance is analyzed and verified from accuracy, diversity, coverage, novelty, and recommendation efficiency. The results show that the hybrid algorithm can make up for the shortcomings of a single algorithm and improve the recommendation efficiency. Experiments show that the accuracy of the proposed CBR-CF algorithm is the highest. In particular, the recommendation accuracy for the single-user system can reach 82-93%, and the recall of all recommended algorithms falls between 60 and 91%. The recall of the hybrid algorithm is higher than that of a single algorithm, and the highest recall is 91%. Meanwhile, the hybrid algorithm has comprehensive coverage, good applicability, and diversity. Therefore, SD-oriented SRD-targeted IRS is of great significance to improve the SRD utilization and the accuracy of IRS, and expand the achievement value of SR. The research content provides a reference for establishing a sustainable SR environment and improving SR efficiency.
Development of the Research Data Archive at OIST

Once a work is published academic authors may not spend much time thinking about its data any longer. If an author decides to revisit a similar subject, or share old data with a colleague, having properly formatted original data can make that easier. Unfortunately, files and documentation may get lost or misplaced as students and postdocs change jobs, or file types become obsolete and difficult to access. Research data is valuable to authors, universities, and the scientific community. Many funding institutions around the world are now requiring data management plans to be submitted along with a research proposal [1]. However, it can be difficult for funders to evaluate if data plans are properly exercised. The Okinawa Institute of Science and Technology (OIST) seeks to be among the first institutions that have a centralized copy of all its published research data. As of this fiscal year, OIST now requires the curated archival of published research data. This ensures that not only the final published document is available, but also the raw data and information necessary to reach the conclusions presented in the publication. OIST strives to make sure that this data stays organized and easily accessible in the years to come. However, archiving requires a high level of cooperation from authors, and it cannot be a one-sided effort by the university administration. This conference proceeding covers our motivations, experiences, challenges, and summarizes the preliminary results from our first 6 months of archiving.
Transformation of the education system into a digital space

Обоснован авторский подход к системе образования, в связи с интеграцией его в информационно-технологическую среду. Представлено авторское понимание развития системы образования, в направлении реализации концепции блокчейн и подхода person-develop, основанного на развитие личности в цифровом образовательном пространстве. The author’s approach to the education system has been substantiated in connection with its integration into the information technology environment. The author’s understanding of the development of the education system is presented, towards the implementation of the blockchain concept and the person-develop approach based on personality development in the digital educational space.
The Mental Health Evaluation System of College Students Based on Data Mining

In order to solve the problems of high misevaluation rate and low work efficiency in the current mental health evaluation process of college students, a mental health evaluation system based on data mining algorithms is proposed. First, analyze the research status of college students’ mental health evaluation and data mining algorithms and build a mental health evaluation system framework; then, collect college students’ mental health questionnaire data, use the Apriori algorithm based on a three-dimensional matrix to analyze and classify, traverse each attribute of each transaction in the two-dimensional matrix, and directly obtain the frequent item set, frequent binomial set, and frequent three-item set by reading the three-dimensional attribute matrix and the mental health evaluation data to obtain mental health intelligent evaluation results. Finally, specific simulation experiments are used to analyze the feasibility and superiority of the mental health intelligent evaluation system. The results show that the system in the article overcomes the shortcomings of the current mental health intelligent evaluation system, improves the accuracy of mental health intelligent evaluation, improves the efficiency of mental health intelligent evaluation, and the system is more stable, which can meet the actual requirements of current college students’ mental health evaluation.
A virtual experimental platform based on MR glasses guided by Kano's Theory

Mixed reality (MR) is the merging of real and virtual worlds to produce new environments and visualizations, where virtual and physical objects can interact with each other in real time. The traditional fixed single camera desktop AR platform provides a new display and interaction mode for experimental teaching in middle schools. However, to observe the experimental phenomenon, we have to use a fixed-position screen with a fixed viewing angle which makes the experiment operation unnatural. The use of traditional Hamming code mark can not let people know what kind of AR object it is. In this paper, we propose a virtual experiment platform that can conduct various experiments in middle school. In this virtual platform, users observe the experimental phenomena with a pair of movable MR glasses. Meanwhile, the mark images required for interaction are customized and indicates what the AR object is. In this way, users can select the AR objects they need easily during the experiment instead of memorizing the AR objects corresponding to different marks in advance. However, the value and importance of different modules are different. What criteria do we use to judge the value of different modules? Kano's Theory provides the guidance of requirements classification attributes for the research of virtual experimental platform. Therefore, we evaluate five requirements classification attributes, including the function of camera capture, custom mark, visualization of magnetic line, voice interaction and multi-camera tracking. Nineteen pedagogical volunteers participated in our experiment. Experimental results prove that our platform stimulates the users’ interest in learning. Further, most participants believe that it would promote the development of experiment education effectively in middle schools.
INFLUENCE OF THE USE OF WHATSAPP SOCIAL MEDIA ON THE RESULTS OF LEARNING GERMAN OF STUDENTS OF SMA NEGERI 20 MALUKU TENGAH

This research aims to explain the influence of whatsApp's use of social media as a learning medium on german learning outcomes. This study has two variables, namely the use of WhatsApp social media as a learning medium (X) as a free variable and german learning outcomes as bound variables (Y). The method used in this study is Ex Post Facto. This research data is obtained through interviews, questionnaires and results of learning German odd semesters (Midterms and End Semester Exams) through documentation studies. WhatsApp social media as a learning medium is used through interviews with teachers and questionnaires given to German learners. The data of the questionnaire results is processed with a likert scale then analyzed using percentage descriptive analysis techniques, then the results of German learning are processed with the T-Test technique. The results of the German language learning process showed that the use of Whatsapp social media as a learning medium had a positive effect on german learning outcomes
Political economy of HEI branding: Internationalization opportunities through virtual tour 360 UPNVJT

A virtual tour is a digital feature that is increasingly easy to find everywhere due to technological advances that support daily life. During this pandemic, virtual tour features found their urgency as an essential promotion and branding. The focus of the study in this article is on the use of the Virtual Tour feature in higher education institutions (HEI) as a political economic means of branding, domestically and internationally. Digital browsing is intended to support visitors' understanding of the information and facilities of a higher education institution without having to visit the location physically. This study aims to review the differences in Virtual Tour features from various Virtual Tour services offered by multiple HEIs globally through observation of secondary data and analysis of survey results. This study aims to find the vital aspects of a high-quality Virtual Tour feature. The result is thus used to analyze and assess the readiness of the University of Pembangunan Nasional "Veteran" Jawa Timur Virtual Tour feature, also known as the Virtual Tour 360 UPNVJT. Secondary data analysis and survey results show that several elements are considered necessary in the best Virtual Tour feature service that is essential for branding and internationalization, thus contributing to HEI's political economy. However, not all higher education institutions implement these Virtual Tour features entirely and consistently. Likewise, Virtual Tour 360 UPNVJT has not fully implemented all these essential features but has implemented some of these aspects. This study concludes that the quality and completeness of a Virtual Tour features of an HEI is vital to ensure the quality of information delivered to HEI’s website visitors, one of the critical points of the political economy of higher education institutions.
Evolutionary Optimization Algorithms and Machine Learning for Engineering Applications

The manuscript investigates the novel evolutionary optimization algorithms and machine learning for engineering applications. Several case studies and comparative analysis are discussed.
Aspects of Meaning in the Hortatory Discourse: A Semantic Overview

Hortatory discourse aims to influence readers.As the other forms of discourse, the meaning of a hortatory discourse will be easily grasped when the reader is able to understand the aspects of meaning contained in it.Using Palmer's theory, this study aims to identify the aspects of meaning in hortatory discourse that can facilitate the reader in understanding the conveyed meaning.This study uses a qualitative descriptive approach with a documentation method.The research object is @dewopakde's Instagram posts.The results of this study indicate that there are aspects of sense, feeling, tone, and intention that are interrelated to each other so that the reader can understand the meaning of the posts.The posts also contain classification of statements that are persuasive and narrative.Thus, the meaning that the writer wants to convey can be understood by the reader.
Meningkatkan Hasil Belajar Siswa Dengan Menggunakan Metode Peta Konsep Pada Mata Pelajaran Ilmu Pengetahuan Sosial Kelas III Sekolah Dasar Negeri 65/II Sungai Bangsat Bungo

This research was conducted aiming to improve student learning outcomes through the concept map method in learning activities. The type of research in this thesis is Classroom Action Research (CAR). The research subjects were third grade students of SDN 65/II Sungai Bangsat Bungo, totaling 24 students, 12 male students and 12 female students. This research includes 2 cycles. Each cycle consists of 4 stages in its implementation, namely planning, implementing actions and observations, and reflection. For data collection techniques in the form of observation sheets, interviews, and learning outcomes tests. And the data analysis technique in the form of an assessment scale includes 4 categories of learning achievement achievement. The results of the study obtained an increase in student learning outcomes in Cycle I by 58% which was in the fairly good category and increased again in Cycle II to 88% in the very good category of the total number of third grade students at SDN 65/II Sungai Bungo bastard. Based on the results of the study, it was concluded that the concept map method carried out during learning activities had been proven to improve the learning outcomes of third grade students at SDN 65/II Sungai Bangsat Bungo.
Lack of Adolescent Interest in Education in Pinjauan Tinggi Village

This study aims to find out: 1) internal factors that influence the lack of interest in adolescents in education in the village of Pinjauan Tinggi. 2) External factors that influence the lack of interest in adolescents in education in the village of Pinjauan Tinggi. This research uses a qualitative approach. Data collection techniques used in this study were interviews and observation. Data analysis was performed using an interactive analysis model. The data validity technique uses data and source triangulation techniques. The result showed that: 1) internal factors that influence are: (a) lack of motivation of adolescents to continue their education, (b) choosing migrants looking for work, 2) external factors that influence: (a) Parents income, (b) school environmental, (c) community environmental factors.Keywords: Interest, Education Youth, Internal Factors, External Factors
Frequency Stability Control In Low -Inertia Power System Using Virtual Synchronous Generator

The stability of the electric power system is divided into transient stability, steady state stability and dynamic stability. Things that affect the performance of the generator include the addition of generators, changes in the load that vary in the system which have an impact on system stability and the distance between the generator and the load. The addition of a Virtual Synchronous Generator (VSG) is needed to improve the power system that is integrated with Renewable Energy Systems Source in maintaining system stability. When the integration between conventional generators and Renewable Energy Systems Source without Virtual Synchronous Generator (VSG) has a frequency response of 58.2 Hz when the generating capacity is -40% of the initial state, while integration between conventional generators and Renewable Energy Systems Source with Virtual Synchronous Generator (VSG) has a steady state response of 60 Hz even though the generating condition is 40% of the initial capacity of the generator. This means that the Virtual Synchronous Generator (VSG) can stabilize the return frequency in its nominal value on the system.&#x0D; Keywords : Inertia, Conventional Generating, Renewable Energy Systems Source, Virtual Synchronous Generator (VSG).&#x0D;
Scanning the Issue

Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey
Training skills for designing lesson plan for pedagogical students of Citizen Education major to meet the requirements of the General Program 2018

The article presents the necessity of fostering lesson plan design skills for pedagogical students of the Citizenship Education major to meet the requirements of the 2018 General Education Program, focusing on clarifying the process of fostering lesson plan design skills, in which specifically analyzing how to implement partial skills in the group of lesson plan design skills, thereby making a illustrated lesson plan is built in the direction of developing learners' qualities and competencies.