Reviewerly/exHarmony huggingface dataset:
Implementation of Library Automation in an Information Retrieving System Using the Apriori Algorithm

Library automation is the process of converting manual systems into digital or electronic ones; it can also be interpreted as the use of machines that act on their own or with self-control without human intervention in the process as a form of application of information technology for the benefit of the library, starting from the acquisition of collections to the enjoyment and access of these collections by users. Library automation is in the form of an information system, where this web-based library information system is expected to provide convenience to both staff and all parties who obtain information about the library without having to go to the library directly, can access it anytime and anywhere, and can answer all the problems that arise. appear. The approach used in this study uses a descriptive qualitative research approach, with the research design using the case study method. In contrast, the case raised is "Implementation of Library Automation Systems at SMK Negeri 1 Batusangkar". At the final stage of the research, it can be concluded that the information system created can help the administrator arrange books on a special shelf for books produced through an a priori calculation process. The information system created can provide recommendations to students for books produced through an a priori calculation process based on book categories that are interrelated with other categories.
Cooking with ChatGPT and Bard: A Study on Competencies of AI Tools on Recipe Correction, Adaption, Time Management and Presentation

With its potential use in many areas including food and beverage sector, artificial intelligence has become one of the most prominent topics recently, partly due to the new AI tools. This study evaluates the competencies of ChatGPT (versions 3.5 and 4) and Bard in relation to food recipes by assigning tasks in five different areas: recipe correction, recipe adaptation, recipe detailing, time management, and presentation. The responses were then analyzed. It was observed that ChatGPT 4 outperformed the other tools in recipe correction, time management and presentation tasks while it gave similar results with ChatGPT 3.5 in recipe adaptation and recipe detailing tasks. Bard performed better than ChatGPT 3.5 in recipe correction but performed worse than both tools in all other tasks. Subsequent discussions highlighted the strengths and limitations of the tools. While these tools’ scores may not yet outperform a professional chef in the assigned tasks, they can be alternative and supportive assets in the gastronomy field considering their rapid response rates. Along with the potential use of the tools in tasks such as adapting recipes, managing time, and generating presentation ideas, the ongoing development and interaction of AI tools and related technologies could contribute significantly to the food industry in the future.
Characterizing Legal Stylistics with a TXM textometric tool

Textometry tools can be used to characterize specialized varieties of English, such as Legal English. Our goal is to use the TXM textometry tool (Heiden et al., 2010) on Sales and Purchase Agreements (SPAs) to show agreements are drafted following a rigid structure, either in their form and shape (macrostructure) or their content (microstructure). We assume that the choice of words (Weisberg, 2014), and the construction of sentences or paragraphs [in agreements] shape how agreements are written and comprise the deal, that is, what is being sold. We hypothesize that there exists legal stylistics based on structural features. We built a corpus comprising Sales and Purchase Agreements of different sizes and topics to which the TXM tool was applied: parts of speech tagging help single out structure, linking words, word variety, frequencies, and writing routines. All descriptive details resulting from our implementation build legal stylistics that thus helps legal professionals, translators, teachers or clients better understand and draft agreements.
Corporate Governance of Sustainable Artificial Intelligence (AI) in Strategic Communication (SC) and Digital Marketing (DM): United Arab Emirates Guidelines

Artificial intelligence has become a major element in corporates' strategic plans, and its technologies have been linked to strategic communication techniques for public relations and digital marketing communications. The current study aimed to monitor Governance of Sustainable Artificial Intelligence (AI)in Strategic Communication (SC) and Digital Marketing (DM).&#x0D; The research initially involved secondary research where qualitative data was collected to design research questions related to the governance of sustainable AI as a frame for strategic communication and digital marketing. The mixed method of data collection adapted using a textual discourse analysis form to collect data and determine organizational governance priorities for responsible artificial intelligence in the United Arab Emirates (UAE).&#x0D; The results indicated the responsible use and sustainability of artificial intelligence and its impact on the organization's strategic communication and emphasize the corporates efforts to protect users from electronic fraud based on (AI)techniques to detect hacks, frauds, and misleading messages.&#x0D; The findings recommended reliance on robots to manage social media platforms, crisis communication, public relations and digital advertising, and detecting machine production of fake content.
People Tracking in Video Surveillance Systems Based on Artificial Intelligence

As security is one of the basic human needs, we need security systems that can prevent crimes from happening. In general, surveillance videos are used to observe the environment and human behavior in a given location. However, surveillance videos can only be used to record images or videos, without additional information. Therefore, more advanced cameras to obtain other additional information such as the position and movement of people. This research extracted this information from surveillance video footage using a person tracking, detection and identification algorithm. The framework for these is based on deep learning algorithms, a popular branch of artificial intelligence. In the field of video surveillance, a person tracking is considered a challenging task. Many computer vision, machine learning and deep learning techniques have been developed in recent years. The majority of these techniques are based on frontal view images or video sequences. In this work, we will compare some previous work related to the same topic.
Real-Time Face Mask Detection in Mass Gathering to reduce COVID-19 Spread

The outbreak of Covid 19 (coronavirus) pandemic has become one of the lethal health crises worldwide. So far no effective and completely curable vaccine or any alternative has been provided to stop this transmission. This virus gets transmitted from a person when they sneeze or when they speak also in the form of respiratory droplets. According to leading and well known scientists, wearing face masks and maintaining six feet of social distance are the most substantial protections to limit the virus’s spread. In the proposed model we have used the Convolutional Neural Network(CNN) algorithm of Deep Learning(DL) to ensure efficient real-time mask detection. We have divided the system in two parts – 1. Train Face Mask Detector 2. Apply Face Mask Detector for better understanding. This is a real time application which is used to discover or detect the person who is wearing a mask at proper position or not. The system has achieved an accuracy of 99% after being trained with the dataset, which contains around 2500 images of width and height 224×224. This type of model just needs to be integrated with a camera and the rest of the detection will be performed, like at airports, offices, railway stations, malls etc., to check whether a government guidelines are properly being followed or not.
Pendekatan Subjek pada Produksi Program Dokumenter Televisi Bingkai Inspirasi Edisi “Menerjang Batas, Sang Disabilitas”

The creation of television documentary production “Bingkai Inspirasi” edition of “Menerjang Batas, Sang Disabilitas” was motivated by a sense of concern for people with disabilities who are often considered helpless and marginalized from social interactions in society. Triyono is an empowered person with disabilities who succeeded in building Difa Bike, an online motorbike taxi specifically for disabilities to help accessibility of transportation for people with disabilities. The author used observation and interview methods to collect data related to Triyono's life story. To support more in-depth data collection, the author also took a subject approach to the sources persons by combining interpersonal communication and non-verbal communication, through persuasive techniques and passive participant observation. The subject approach to the source persons aims to generate emotional closeness, so that the source persons is more comfortable and confident in telling their life story. The subject approach was successfully applied at every stage of production, thus resulting in a portrait documentary work with a story line, and an interesting visual combination. This work could inspire, motivate and arouse the hearts of the audience.
Laravel Framework-Based Information System of the Department of Information Technology of Universitas Muhammadiyah Yogyakarta

It is crucial to have a reliable and adequate information system to implement information technology. It explains why technology must continue advancing in this area, specifically regarding the Information Technology Department’s information management at Universitas Muhammadiyah Yogyakarta (UMY). Information has been disseminated through the WhatsApp and Telegram applications, leading to improper conveying of the made and supplied information due to excessive stacking. Hence, a web-based information system was developed in PHP with the help of the Laravel framework to overcome the issue. Moreover, a database was set up using MySQL to circumvent the issue. The newly constructed information system could enhance information management, leading to more accurate and efficient information generation for various uses.
The Influence of Interactive Learning Tasks on the Motivation of Students in the Study of Chemistry

In the work were examined the possibilities of using interactive learning tasks (ILT) in the educational process when teaching chemistry: in lessons, in individual group work, when school students do homework and when preparing for exams. During the pedagogical experiment, the hypothesis was confirmed that the use of ILT for teaching chemistry helps to increase school students' interest in studying chemistry, activates their mental activity, facilitates the assimilation of the studied material and its memorization. Various forms of interactive learning tasks for teaching chemistry have been tested in the educational process. The comparison of the effectiveness of open and closed interactive learning tasks showed that the use of open ILT in the educational process contributes to improving the quality and strength of students' knowledge to a greater extent than the use of closed ILT. To find out the motivation of educational activity, the T.D. Dubovitskaya's method of diagnosing orientation of motivation was used. Experimentally confirmed the creative realization of knowledge, skills and abilities as a result of deepening the computer knowledge of school students, improving the quality of knowledge and interest through interactive learning tasks in chemistry. The use of interactive tests was aimed at the formation of educational and cognitive, value-semantic, informational and communicative competencies. The results of the survey of students confirm the expediency of using interactive tests with the formation of students' competencies. It is shown that 95% of school students like to work on interactive learning tasks, and the vast majority of students show interest in studying chemistry.
Possibilities for Formation of Professional Competences of a Future Foreign Language Teacher in Conditions of Distance Learning

At present, in the process of training competitive specialists, the main importance is given to innovation. The training of a qualitatively new specialist, ready to work in new conditions, able to adapt to today's innovations and respond in a timely manner, is the main requirement of the time. Under these conditions, there is a public need to improve the quality of higher professional education and its compliance with the world level of education. Therefore, the process of reforming education, which is currently being intensively carried out in Kazakhstan, is aimed at implementing the idea of digitalizing the education of its citizens. Under these conditions, it is especially important to train future teachers who are ready to implement distance learning at school, who can communicate with colleagues, schoolchildren and parents, conduct classes, give feedback using digital tools, applications and platforms in a distance learning environment. In the article, the educational program within the framework of the state mandatory standard of higher education of the Republic of Kazakhstan in the specialty 6b01718-Foreign Language: two foreign languages the problem of mastering the skills of reading, writing, listening, speaking through modern innovative technologies on the basis of teaching the theory and methods of practical mastery of two foreign languages was also considered. In addition, in order to open up opportunities for the formation of professional competencies of a future foreign language teacher in the context of distance learning, the program of the author's course «organization and methodology of distance learning of a foreign language» was presented.
Development of Desktop-Based Employee Payroll: A Case Study on PT. Bio Pilar Utama

As a result of periodic shifts, technological advancements are becoming more varied. The payroll system for employees is one of them. Payroll must follow the company’s standard operating procedures (SOP) to determine several issues. Thus, the system can be customized to match the company’s specific needs and SOP. The administration and finance departments encounter difficulty processing employee payroll due to frequent errors in employee data entry, including position, department, income, and deductions. The absence of a payroll information system that can reliably and rapidly calculate employee salaries and provide timely reports has become the primary source of the difficulty. The designed employee payroll information system only processed PT. Bio Pilar Utama’s payroll data. Facilitating the administration and finance departments to input data, calculate salaries, store data, and generate reports on employee payroll could be achieved through the newly developed employee payroll information system.
THE IMPLEMENTATION OF EGRA (EXPOSURE, GENERALIZATION, REINFORCEMENT AND APPLICATION) TECHNIQUE TO REDUCE STUDENTS’ GRAMMATICAL ERRORS

This study aimed to address the challenge of English grammar learning for eighth-grade students at SPNF SKB SIKKA, employing the EGRA technique in a classroom action research (CAR) format. Data, gathered through observation sheets, interviews, and tests, were analyzed quantitatively and qualitatively. In the initial cycle, students demonstrated low engagement and reported difficulties with unclear explanations. Quantitative analysis revealed significant grammatical errors, notably in Mis-formation (26.11%). Following the EGRA technique in the second cycle, improvements were observed, with the highest error in Mis-formation (31.43%) and an increased average score of 70.33. Qualitative findings indicated enhanced classroom conditions and student understanding. The study concludes that the EGRA technique effectively reduces grammatical errors, suggesting its viability as an innovative tool for teaching the simple present tense
Legal Disruption and Sharia Arbitration: Navigating Change, Measuring Impact, and Fostering Innovation

This article evaluates the doctrinal challenges encountered by the law amid technological advancements, specifically in the areas of blockchain technology, smart contracts, digital assets, and data privacy. Certain conventional legal doctrines, including intellectual property law, privacy, and evidence, and the principle of nonrefoulement, may no longer be applicable amidst the introduction of disruptive technological developments. We present methods for identifying irrelevant legal issues using the TRIZ approach, which enables the identification, evaluation, and updating of legal doctrine. Additionally, this article illustrates how TRIZ principles can develop more adaptable contract principles in response to technologies such as smart contracts. By applying these principles, the law can more effectively manage change, promote innovation in consumer protection, and support the use of smart contracts.
Development of Digital Student Worksheets with the Discovery Learning Model to Improve Collaboration Skills and Results for Elementary School Students: Literature Review

Objective: This research reviews the literature regarding the development of Digital Student Worksheets based on the discovery learning model to improve collaboration skills and student learning outcomes in elementary schools. This review article is a literature review research. Method: used is a narrative review, which consists of four stages: selecting the topic to be reviewed, selecting national journals and international journals that are relevant to the latest five years, namely 2018-2023, totaling ten articles, conducting literature analysis and synthesis, and compiling review results. Results: The results of the literature review show that e-LKPD can improve collaboration skills and improve student learning outcomes. Novelty: this research provides a new color for the literature review on e-LKPD, specifically on the discovery learning model for Natural and Social Sciences (NSS) subjects in elementary schools.
The Evolution of Platform Science

Abstract: Although we have been living through an era of the commercialization of science since the 1980s, something has dramatically changed over the last decade. Whereas commercialization used to subject research outputs to market considerations, a new development seeks to monetize nearly all aspects of the research process. This has become manifest under the rubric of “open science” as the purported solution to what is perceived to ail modern science. The commercial interests behind top journal publishers are pursuing control over “open science” by imposing the structures of “platform capitalism” upon the research process. The release of ChatGPT is best understood as the latest act in this drama, with Silicon Valley AI platforms threatening to displace the Big Five publishers as the primary protagonists of the commercialization of science.
PENERAPAN ALGORITMA PEMBELAJARAN PERCEPTRON UNTUK PREDIKSI SUHU EFEKTIF SASARAN DALAM KANDANG AYAM BROILER TERTUTUP

Broiler chickens are broiler breeds that have a relatively fast growth of about 4-5 weeks. The growth of broiler chickens is influenced by several aspects, one of which is cage management. In cage management there is a target effective temperature which is one of factors that support the growth of broiler chickens. The target effective temperature for growing comes from measured temperature combined with air humidity and measured wind speed. In this article, we will discuss how the perceptron algorithm can predict the target effective temperature in the broiler chicken closed house cage systems. The goal is to find a network model that can predict target effective temperatures with high accuracy based on variable measurements. Furthermore, the result of network model will be used to regulate the conditions of the coop according to the needs of the comfort of chickens. Based on the results of this study, the perceptron algorithm with a single layer provides a good network model of target effective temperature to regulate cage conditions.
The Role of Schools in Improving Abilities Disaster Preparedness: Nursing Perspective

Earthquake disasters can occur at any time and humans are not yet able to detect when they can occur. Children are included in a group that is vulnerable to the impact of disasters because of their lack of knowledge regarding disaster mitigation. To minimize the impact of disaster events, education on disaster mitigation is needed. To determine the influence of the school's role in increasing students' disaster preparedness abilities in junior high schools in Ternate City. Quasi-experimental research type with a one-group pre-post test design. Data were analyzed using the non-parametric Wilcoxon signed-rank test. The research subjects consisted of teachers (seven respondents) and students (90 respondents). The data were processed using the non-parametric Wilcoxon signed-rank test. The analysis results showed that asymp. sign. (2-tailed) The teacher's score is 0.018 and the student's score is 0.000, where the value of 0.000 is smaller than p value = 0.05, so it can be concluded that there is an increase in disaster preparedness abilities among schoolteachers and students. The role of schools is very important in disseminating disaster mitigation education as basic knowledge that requires learning as early as possible, so that a culture of disaster mitigation grows both before, during, and after a disaster. There was an increase in the ability of teachers and students at school after a disaster preparedness simulation was carried out at a junior high school in Ternate City.
Android-based "MamaKIA" Educational Media Development Application for Pregnancy Midwifery Care

An Android-based pregnancy care application designed and adapted to the needs of pregnant women is part of efforts to encourage sustainable midwifery care, which is expected to make it easier to convey, understand, and apply because it is in accordance with current client needs. This research aims to develop android-based educational media for midwifery care. The development of Android-based Midwifery Care Education Media was carried out using a research and development approach consisting of a preliminary study stage consisting of a literature study and field study (two respondents), and product development consisting of product design and media expert validation testing. (one respondent), material experts (one respondent), and application trials by community health center midwives in the work area of the Konawe District Health Service (35 respondents) who were selected using purposive sampling. Research data were collected using questionnaires, and quantitative and qualitative analyses were conducted. The validation results from media experts obtained a score of 69.47% in the feasible category and 98.33% from material experts in the very appropriate category, and the test results from 35 respondents obtained a score of 92.86%, including the very appropriate category. The Android-based educational media application developed for midwifery care is very suitable for use and needs to be tested for its effectiveness in midwifery care during pregnancy. The "Mama KIA" application is very feasible in terms of materials, media, and testing and meets the requirements for midwifery care by midwives.