Reviewerly/exHarmony huggingface dataset:
Implementasi Program Literasi terhadap Eskstrakkulikuler di MTsN 2 Medan

Authors:
raw_author_name: Nila Riana Harahap
raw_author_name: Sahrina Nasution

Abstract: &#x0D; This study aims to explain the condition of the extracurricular literacy program at MTSN 2 Medan. In addition, it also explains the effectiveness and constraints that occur in the development of this literacy program at MTSN 2 Medan. This research uses descriptive qualitative research. This study provides an overall picture of the conditions, effectiveness, and obstacles that occur in literacy programs. The results of the research show that the literacy program has not run optimally. Problems with the literacy program in learning Indonesian that occurred at MTSN 2 Medan included irrelevant learning strategies, the availability of inadequate and incomplete facilities and infrastructure, and students' low interest in reading. Sources of data in this study are documents and school implementation processes literacy program. The data in this study were collected using documentation, interviews and observation methods. The results of this study indicate that the governance of extracurricular literacy at MTSN 2 Medan is as follows (1) First, the school planning for the literacy program has been carried out by setting literacy goals for the school movement program. However, this planning has not been based on a needs analysis (2) extracurricular activities about Indonesian that have not been implemented at this school (4) the control that has been carried out is still limited to ensuring that the Thursday reading program is carried out or not. Controls to improve program quality have not been carried out. The management of the school literacy movement program needs to be managed properly, starting from the strategic planning process, organizing by giving job descriptions, implementing programs in accordance with strategic planning, and continuous evaluation&#x0D; Keywords Indonesian, Ekstrakulikuler, Program Literacy
Effectiveness of social robots as a tutoring and learning companion: a bibliometric analysis

Authors:
raw_author_name: Rashmi Yogesh Pai
raw_affiliation_string: Department of Commerce, Manipal Academy of Higher Education, Manipal, India
raw_author_name: Ankitha Shetty
raw_affiliation_string: Department of Commerce, Manipal Academy of Higher Education, Manipal, India
raw_author_name: Tantri Keerthi Dinesh
raw_affiliation_string: Department of Commerce, Manipal Academy of Higher Education, Manipal, India
raw_author_name: Adithya D. Shetty
raw_affiliation_string: Department of Commerce, Manipal Academy of Higher Education, Manipal, India

Abstract: A long-term perspective on how technology will mature is needed whereby robotics and artificial intelligence (AI) have accomplished a consequential and remarkable impact by finding their way into mainstream higher education. Robots have already become an indispensable factor in society and possess high potency as a part of educational technology. Social robot education is limited to complementing the digital aptitude of students in the world of information, and the role of social robots is crucial in polishing students ‘cognitive and social abilities. This study reviews the effectiveness of social robots in education, where we highlight the application of educational robots, surrounded by a blend of social robots and enactive didactics, which could lead to promising ideas for tutoring activities in education. It is empirically proven that social robots can assist with literature, science, or technology education. We synthesize the role of social robots in education and weigh their pros and cons by examining the impact of their appearance on robots’ performance as tutors, tools, or peers in learning exercises. The current study is the first bibliometric analysis that reflects robots’ impact in the education field as tutors and learning companions. A total of 288 articles were reviewed, and the data were extracted to construct an overview through bibliometrics. The outcome of this study paves the way for educational institutes to make informed and fruitful decisions on the applicability of robots, which can help them comprehend the learning styles of students and create knowledgeable and well-adjusted learners.
Analysis of Student Perceptions of Teaching Campus Participants

Authors:
raw_author_name: Eduward Situmorang
raw_affiliation_string: Univeristas HKBP Nommensen Pematangsiantar, Indonesia

Abstract: &#x0D; &#x0D; &#x0D; &#x0D; The Independent Campus Learning (MBKM) policy provides students with the opportunity to take part directly in society to solve the country's problems. The Teaching Campus is one of the MBKM programs with the aim of solving educational literacy and numeracy problems in Indonesia. The research in this article aims to describe the impact of implementing the MBKM program, namely the 6th Teaching Campus organized by the Ministry of Education and Culture, which comes from students from HKBP Nommensen Pematangsiantar University. The research used mixed methods. Quantitative data in this research includes questionnaires from teaching campus school partners and students participating in teaching campuses. The research data is in the form of perception interviews from students participating in the teaching campus class 6. Based on the research results, it is known that students' perceptions after attending the teaching campus are very good, namely on average 90%. This is in line with the partner's high perception of the quality and abilities of students, namely 93%. Based on student perceptions, campus teaching programs not only provide classroom teaching experience and literacy and numeracy skills but can also help improve students' collaboration abilities and soft skills.&#x0D; &#x0D; &#x0D; &#x0D;
CPT: Competence-progressive Training Strategy for Few-shot Node  Classification

Authors:
raw_author_name: Zhang, Yufeng
raw_author_name: Zhang, Jinghao
raw_author_name: Duan, Jingpu
raw_author_name: Yin, Jian

Abstract: Graph Neural Networks (GNNs) have made significant advancements in node classification, but their success relies on sufficient labeled nodes per class in the training data. Real-world graph data often exhibits a long-tail distribution with sparse labels, emphasizing the importance of GNNs' ability in few-shot node classification, which entails categorizing nodes with limited data. Traditional episodic meta-learning approaches have shown promise in this domain, but they face an inherent limitation: it might lead the model to converge to suboptimal solutions because of random and uniform task assignment, ignoring task difficulty levels. This could lead the meta-learner to face complex tasks too soon, hindering proper learning. Ideally, the meta-learner should start with simple concepts and advance to more complex ones, like human learning. So, we introduce CPT, a novel two-stage curriculum learning method that aligns task difficulty with the meta-learner's progressive competence, enhancing overall performance. Specifically, in CPT's initial stage, the focus is on simpler tasks, fostering foundational skills for engaging with complex tasks later. Importantly, the second stage dynamically adjusts task difficulty based on the meta-learner's growing competence, aiming for optimal knowledge acquisition. Extensive experiments on popular node classification datasets demonstrate significant improvements of our strategy over existing methods.
Overview of the Student Learning Environment of the Universitas Padjadjaran Nursing Profession Study Program

Authors:
raw_author_name: Ryan Hara Permana
raw_affiliation_string: Universitas Padjadjaran

Abstract: The learning environment is an important component in determining the quality and success of the nursing education curriculum. A learning environment that is not supportive can result in decreased student learning performance, including decreased interest and motivation, anxiety and stress, and reduced self-confidence. Evaluation of the learning environment helps improve the quality of the learning environment which consists of the learning process, teaching staff, academic achievement, learning atmosphere, and social environment. This research aims to identify a description of the learning environment for students in the Padjadjaran University nursing professional study program. This research design will use a quantitative descriptive research design. The sampling technique that will be used is proportionate stratified random sampling with 142 nursing professional students as samples. The instrument used is the Dundee Ready Education Environment Measure (DREEM) with 50 statement items. The data analysis that will be carried out is univariate analysis. The results of research on the learning environment dimension show an average score of 148.96/200 in the good category. The average is obtained for each sub-variable; learning process (35.44/48), teaching staff (33.74/44), academic achievement (25.44/32), learning atmosphere (34.49/48), and social environment (19.82/28). Academic achievement with the highest score and social environment with the lowest score. The assessment of the learning environment for nursing professional students shows the Good category, which means that the learning environment for the nursing profession is running well, although there are things that need to be improved and corrected to improve the quality of learning.
Utilization of Chat GPT Artificial Intelligence (AI) in Student’s Learning Experience Gen-Z Class

Authors:
raw_author_name: Basuki Sulistio
raw_affiliation_string: Universitas Negeri Semarang

Abstract: Technology presents data very quickly, if students do not get enough assistance from lecturers in analytical thinking, the students will present data without studying further or it will convince them that what is presented is justifiable. Lecturers need to understand the students' learning habit nowadays. The focus in this study is the usage of Chat GPT AI in Student Learning Experience in Gen-Z classroom. This study provides in-depth attention to educators, especially lecturers, so that they can adapt to Gen Z's learning experience tendencies and the latest developments in learning media to create the material. The method used in this study is descriptive quantitative with questionnaires distributed to students. The respondent in this study is 392 Gen Z students chosen with purposive random sampling. The use of Chat GPT AI is familiar to Gen-Z students. Therefore, they should double-check the results of Chat GPT so as not to make misinformation and they provide a complete understanding. Lecturers as facilitators in the classroom must be more careful in reviewing the assignments collected by students, so that lecturers can measure precisely that the assignments are the same as the level of student understanding. In addition, the lecturers should notice that the information presented is correct.
The Effect of Emergency Response Training on Flood Disaster Preparedness on Student Council Administrators at SMPN 1 Tibawa

Authors:
raw_author_name: Arifin Umar
raw_affiliation_string: Universitas Muhammadiyah Gorontalo
raw_author_name: Pipin Yunus
raw_affiliation_string: Universitas Muhammadiyah Gorontalo
raw_author_name: Mohammad Ruslan Husain
raw_affiliation_string: Universitas Muhammadiyah Gorontalo

Abstract: The effect of emergency response training on flood disaster preparedness on student council administrators at SMPN 1 TIBAWA. Guided by PIPIN YUNUS as chairman and HASLINDA DAMANSYAH as member Disaster emergency response is a series of activities immediately at the time of a disaster to deal with the adverse effects caused. These activities include pre-disaster, during-disaster, and post-disaster. This study aims to determine the effect of emergency response training on flood disaster preparedness in student council administrators at SMPN 1 TIBAWA. This research method uses a quantitative approach with a type of quasi-experimental research with one group. Samples were taken using total sampling techniques, the number of samples was 36 respondents. Data collection using a questionnaire sheet with data analysis using a Paired T-test with meaning (p-value = 0.05). The results showed that there was an average value of preparedness before 46.61 and preparedness after 73.72 there was an increase of 27.11 preparedness values after being given treatment, then the statistical value was obtained p-value = 0.00 smaller than 0.05 (p&lt;0.05). In conclusion, there is an effect of emergency response training on flood disaster preparedness.
The Effect of Paddressing and Scanning Training on the Skills of PMR Students in MAN 1 Pohuwato

Authors:
raw_author_name: Pipin Yunus
raw_affiliation_string: Universitas Muhammadiyah Gorontalo

Abstract: Emergency conditions can occur anywhere and anytime. However, it does not rule out the possibility of emergency conditions occurring in areas that are not covered by health workers. The purpose of this study was to determine the effect of dressing and scanning training on the skills of PMR MAN 1 Pohuwato students. This research method is quantitative research that uses the Two Group Pretest Posttest design. The population in this study was 22 students and the sample was 22 students. From the results of statistical tests on the application of dressing and scanning in the Experimental group of students, a p-value value of 0.003 was obtained, and the control group had a p-value of 1,000. Dressing and scanning training has an influence on students' skills which can be seen from the improvement of students' skills before and after being given dressing and scanning training in the experimental group, while for the control group, there is no change in skills, so it can be concluded that there is an influence of dressing and scanning training on students' skills. Suggestions for schools to conduct splint wrap training to improve students' skills.
The Relationship of Online Game Addiction with Aggressive Behavior for Teenagers at SMP Negeri 3 Banyumas

Authors:
raw_author_name: Murniati Murniati
raw_affiliation_string: Universitas Harapan Bangsa

Abstract: There is a lot of verbal and physical aggression in online games today. Playing games with a high level of violence can lead to an increase in hostile attitudes and actions. The purpose of this study was to determine whether there is a relationship between online game addiction and the aggressive behavior of grade VIII students at SMP Negeri 3 Banyumas. This study is a correlational study using a cross-sectional approach. The population in this study consisted of 92 grade VIII students of SMP Negeri 3 Banyumas who played online games. A sample of 75 respondents was taken using a simple random sampling technique. The questionnaire was used as a data collector and analyzed with the Spearman rank correlation test. The results showed that most online game addicts were in the mild category (80%), most showed moderate aggressive behavior (62.7%), and there was a strong relationship between online game addiction and aggressive behavior class VIII SMP Negeri 3 Banyumas with a p-value of 0.000 (p-value &lt;0.05; r = 0.579). This indicates that online game addiction can affect a person's aggressive behavior, the higher the level of online game addiction, the more aggressive behavior it leads. This research is expected to be a reference for pediatric nursing.
Indonesian University Students’ Perceptions on the Use of Social Media for English Language Learning

Authors:
raw_author_name: Fenny Yutika Seli
raw_affiliation_string: Universitas Media Nusantara Citra

Abstract: The use of social media is not only for communicating and enjoying leisure time but also for learning many things. Since that, English-related content has been one of the things that often be on their search. Various educative content can be found on social media. This study aims to find out the students’ perceptions on the use of social media for English language learning. The participants of this study are 98 university students in Jakarta. A descriptive qualitative method was used. The data was obtained by using a questionnaire and interview. The results showed that Instagram, YouTube, and TikTok are the most preferred platform for learning. The students have positive perceptions on the use of social media for English learning because social media is easy to access, fun, stress-free, and reinforces their independence. In addition, the most skill that can be learned from social media are reading.
Implikasi Etika pada Penggunaan Artificial Intelligence (AI) dalam Akuntansi Manajemen

Authors:
raw_author_name: Endah Yuni Puspitasari

Abstract: Artificial Intelligence (AI) has changed the way humans work, interact and manage data. One part of accounting work that is influenced by AI is management accounting. There is a gap between the demands for developing the capabilities of accountants in the AI era and the development of management accounting itself. The application of AI in the context of management accounting also raises several ethical issues that need to be considered. This research method uses a qualitative descriptive approach with an analysis of previous research literature being explored and explained. The research results suggest that it is important for future policymakers to ensure standardization of AI systems within the accounting paradigm to ensure high-quality systems that adhere to accounting principles and ethics. To address emerging ethical issues, it is important for organizations to involve ethicists and management accounting experts in the AI development and deployment process. This will help ensure that decisions made by AI systems adhere to widely accepted values and principles. This research provides novelty by filling a gap in the management accounting literature, exploring how AI can influence ethical practices in management accounting
Sistem Informasi Manajemen dalam Data Pegawai Pendidikan

Authors:
raw_author_name: Abdul Muín

Abstract: This study aims to find out how the benefits of management information systems in the knowledge of employee data. This research is library research. The results of the study conveyed that for knowledge, the data processing process functions as an executor of arithmetic, logical processes for data, storing and processing data programs, taking data input programs so that they can be used at any time, minimizing human labor, and getting more accurate results and minimal errors. The function of the database is to group data to facilitate data identification, the database prepares data in accordance with user requests for information quickly and accurately. Employee data has important value for organizations because it can be used to make informed decisions and improve operational efficiency. Good data can be organized in a database. The benefit of using a management information system is that it makes it easier for management to plan, direct, and supervise the course of business.
Photovoltaic output power estimation model based on multi-meteorological variable dimension reduction and improved variational mode decomposition algorithm

Authors:
raw_author_name: Sun Yuhan
raw_affiliation_string: School of Electronics &amp; Information Engineering, Nanjing University of Information Science &amp; Technology, Nanjing, China
raw_author_name: Li Wei
raw_affiliation_string: School of Electronics &amp; Information Engineering, Nanjing University of Information Science &amp; Technology, Nanjing, China

Abstract: The instability and intermittence of photovoltaic (PV) power generation challenge the large-scale integration of PV power generation systems into the power grid and the development of energy storage systems. To accurately predict the output power of PV power generation, a power prediction model based on the optimized variational modal decomposition (OVMD)-adaptive t-distribution sparrow search algorithm (tSSA)-least squares support vector machine (LSSVM) algorithm was built. The performance of the model was then verified by three-year meteorological data and real-time PV output power data of two different climatic regions in China. The mean absolute percentage error (MAPE) and root mean square error (RMSE) of this model were less than 3.1% and 0.40, respectively, and the determination coefficient (R2) of this model was greater than 95%. Moreover, the prediction accuracy was greatly improved compared to models based on the support vector machine (SVM), LSSVM, variational modal decomposition (VMD)-LSSVM, and VMD-SSA-LSSVM algorithms. Finally, by performing dimension reduction of meteorological variables related to PV output power, the performance of the proposed OVMD-tSSA-LSSVM model was further improved.
Hybrid blockchain-based many-to-many cross-domain authentication scheme for smart agriculture IoT networks

Authors:
raw_author_name: Fengting Luo
raw_affiliation_string: School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
raw_author_name: Ruwei Huang
raw_affiliation_string: School of Computer and Electronic Information, Guangxi University, Nanning 530004, China

Abstract: With the development of smart agricultural Internet of Things (IoT) projects, the need for extensive collaboration among agricultural devices from different domains has surged, necessitating the authentication of device identities for secure communication. Existing centralized architecture-dependent authentication mechanisms encounter issues like a sole point of failure and inefficiencies. Most authentication schemes are unable to support plentiful devices synchronously connecting to numerous data servers in other domains. To address these problems, we propose a many-to-many cross-domain authentication scheme based on the hybrid blockchain architecture for smart agriculture IoT networks. The scheme enables multiple devices simultaneously executing mutual authentication with several data service providers from other agricultural systems. This paper designs a groupable batch verification (GBV) algorithm that dynamically adjusts the batch size by performing group verification for a list of requests, enhancing the flexibility of cross-domain batch authentication. Furthermore, the proposed scheme provides a pseudonym update mechanism to protect the privacy of devices and guards services of different domains from illegal access by tracking malicious devices. The security analysis and performance evaluation demonstrate that the proposed scheme has superior security features and performance.
PROTOTYPE METHOD PADA APLIKASI SCHEDULER BERBASIS MOBILE

Authors:
raw_author_name: Nurmalasari Nurmalasari
raw_affiliation_string: Universitas Nusa Mandiri
raw_author_name: Siti Masturoh
raw_affiliation_string: Universitas Nusa Mandiri

Abstract: PT United Tractors is currently implementing digitalization in its various activities. In its implementation, delivering information and archiving documents in the PSD4 Service Division still have obstacles due to the lack of effective and efficient access to information needed to do work. To overcome these problems, the solution that can be provided is to develop a mobile-based document filing system using the Flutter framework to maximize the development of mobile-based systems. For developers to interact directly with teams related to application capabilities, this system development method uses the Prototype method, which has 5 phases: Communication, Quick Plan, Modelling Quick Design, Construction of Prototype, and Development, Delivery, and feedback phases. The result of this research is an Android-based Scheduler Mobile document archiving application that has been made based on the steps in the prototype method. Testing using Black Box and Flutter DevTools is done to find out the results of the application that has been made. Black Box and Flutter DevTools testing results show that the application can run as expected.