Reviewerly/exHarmony huggingface dataset:
PERANCANGAN VIDEO ANIMASI PEMBELAJARAN LITERASI DI SD NEGERI 101944 DELI MUDA

Animated Literacy Learning is an animation that provides learning about literacy, specifically focusing on reading materials in the form of original data messages to its users. The reading literacy material includes learning letter recognition, reading skills, and reading exercises. This research aims to develop an application that can be used to enhance students' skills, particularly in reading. Additionally, the learning process with this application is expected to be more enjoyable and can further motivate users to learn, as it incorporates images, sounds, and animations. The objective of this learning application is to train and enhance students' literacy skills, as it also includes exercises to assess the students' proficiency level in the given teaching materials. The research methodology employed in this study includes literature review, data collection, needs analysis, system design, implementation, and evaluation. The final outcome of this research is an animated literacy learning video specifically designed for students at SD Negeri 101944 Deli Muda. It is anticipated that this video will increase students' interest and literacy skills while providing an enjoyable and interactive learning experience.
Analytical Herald in the Sphere of Education and Science : Reference Bulletin. Issue 17, 2023

The reference bulletin "Analytical Bulletin in the Field of Education and Science" was launched in 2015 as an electronic scientific of the National Institute of Public Policy of Ukraine named after V. O. Sukhomlynskyi is a component of the system of information and analytical support of the sciences of education, pedagogy and psychology. The content of the rubrics of issue 18, prepared for the implementation of the planned tasks of the scientific research "Information and analytical support of digital education and pedagogy; domestic and foreign experience" (2023-2025) has an innovative format: "Science and education: digital trends", "Pedagogy: digital guidelines", "Psychology of the digital space: realities of the war period" contributes to the user's prompt receipt of logically structured scientific information on the issues of modern scientific research on issues of national education, pedagogy, psychology, in particular, in the form of abstract and analytical reviews, etc.
Deployment Approaches in Distributed Complex Event Processing

Big Data technologies have traditionally focused on processing human-generated data, while neglecting the vast amounts of data generated by Machine-to-Machine (M2M) interactions and Internet-of-Things (IoT) platforms. These interactions generate real-time data streams that are highly structured, often in the form of a series of event occurrences. In this paper, we aim to provide a comprehensive overview of the main research issues in Complex Event Processing (CEP) techniques, with a special focus on optimizing the distribution of event handlers between working nodes. We introduce and compare different deployment strategies for CEP event handlers. These strategies define how the event handlers are distributed over different working nodes. In this paper we consider the distributed approach, because it ensures, that the event handlers are scalable, fault-tolerant, and can handle large volumes of data.
A Hybrid Model using Genetic Algorithm for Energy Optimization in Heterogeneous Internet of Blockchain Things (IoBT)

Internet of Things (IoT) emerging is one of the promising technologies aspiring industries and public alike with its broad spectrum of applications adding intelligence to the real-life objects. Due to its resource-limited nature, and heterogeneity of the devices in IoT networks, data security and energy consumption is a burning issue. Security for sensitive data in the network is paramount and privacy and access control mechanisms should be in force. Also, for reliable application services, the optimized network operations in terms of energy are demanding needs nowadays. This paper proposed a novel energy optimization and node deployment strategy is proposed by amalgamating genetic algorithm (GA) for energy optimization and mixed integer linear programming (MILP) for strategic node replacement. GA-based optimization focuses on improving residual energy of the nodes in the network thereby enhancing the network life-time. The MILP based node deployment strategy focuses on selecting minimum node set while still servicing the entire network area. The potentiality of the Blockchain is used in the model to provide data privacy and access control to the sensitive data. The proposed model is then compared with the state-of-the-art models to validate the performance in terms of network life-time, and throughput. It is evident from the results that the proposed method outperforms the existing models and provides reliable and viable solutions for many applications running on the IoT networks
Implementation of Recommendation System’s Service Model Using Amazon E-commerce Dataset

Amazon, Flipkart, Spotify, Netflix are renowned names in the world of online businesses. What makes them so successful is their ability to provide users with the right content they are looking for without complex search. These platforms embed powerful recommendation systems to recommend products and contents to users which is of their interest. Recommendation engines make use of user’s previous purchase history, likes and dislikes, reviews, ratings, and the frequently visited items to recommend such personalized contents. Thus, better recommendation system helps businesses to improve their sales, customer engagement, and ultimately the profit earned. But for small-scale businesses and startup, implementing recommendation systems from scratch is quite difficult task and is often ignored by them. Solution to this problem would be implementing recommendation system as a cloud-based service that can be easily called and used by the businesses. This paper describes the proposed recommendation system which will be deployed as a service and could be used by any online business firm to generate recommendations for their customers by making simple API calls. The paper explains the algorithms that are used to implement recommendation system, also, describes the dataset generated by scraping the Amazon e-commerce site and the results obtained by training the recommendation model on that dataset. Evaluation metrics used are accuracy and hit rate. Results are determined for every cycle after tuning the batch size for 20 epochs each. With batch size 512, at fifth epoch, model is trained well for the given dataset and gives maximum training and validation accuracy with hit rate increased to 64%.
Raw data and the evolution of crystallographic FAIR data. Journals, processed and raw structure data.

In my previous post on the topic, I introduced the concept that data can come in several forms, most commonly as “raw” or primary data and as a “processed” version of this data that has added value. In crystallography, the chemist is interested in this processed version, carried by a CIF file.
PENERAPAN MODEL PEMBELAJARAN RMS (READING, MIND MAPPING, AND SHARING) PADA MATERI SISTEM EKSKRESI MANUSIA UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS XI

This research is classroom action research which is motivated by the low learning outcomes of students in the learning process in class. What influences low student learning outcomes is the lack of student activity in the learning process. Plus the learning process uses a monotonous lecture method. This research aims to find out whether applying the RMS (Reading, Mind Mapping, and Sharing) learning model to the Human Excretory System material can improve the learning outcomes of class XI MIPA 5 UPT SMAN 3 Wajo students. The subjects of this research were all students of class XI MIPA 5 UPT SMAN 3 Wajo for the 2022/2023 academic year, totaling 31 students. This research was carried out in 2 cycles, each cycle held 3 meetings. The learning process for each meeting is designed by applying the RMS (Reading, Mind Mapping, and Sharing) learning model. The instruments used were student activity observation sheets and student learning outcomes tests in the form of multiple choices. At the end of each cycle, a learning outcomes test is carried out. Based on the research results, it shows that there is an increase in student learning activities from cycle I to cycle II. In cycle I the percentages were 29.5%, 37.6%, and 46.2%. Meanwhile, in cycle II the percentages were 58.6%, 67.2%, and 78.4%. This was followed by an increase in student learning outcomes from cycle I with a percentage of 41.9% to 87.1% in cycle II. From these results, it can be concluded that implementing the RMS (Reading, Mind Mapping, Sharing) learning model, can improve student learning outcomes in Biology lessons in Class XI MIPA 5 UPT SMAN 3 Wajo.
RANCANG BANGUN SISTEM INFORMASI PENGOLAHAN DATA HASIL TANGKAPAN PERAIRAN UMUM DARAT

Local wisdom is used to create order and balance between social life, culture, and the preservation of natural resources. Some areas in Indonesia include general types of water bodies including: artificial lakes, ponds, Rama, creeks, Keramasan River, Musi River, Keramasan River, and rivers. Production results in the type of Regional Public Waters contribute to the growth of employment and the very high demand for public protein. For this reason, a system is needed that can bridge officers and fishermen with the fish that have been caught starting from the specifications of what types of fish are caught and the total catch is recapitulated in a quarterly period. The System Development Method used in making this Information System uses Rapid Application Development (RAD). which has the following stages: Requirement Planning, Workshop Design, Implementation. The result is a system that can accommodate fishermen's data, catches and annual reports based on the type of Inland Public Waters (PUD).
Analiza procesów słowotwórczych w nauczaniu leksyki specjalistycznej. Przykład języka włoskiego

"The topic of this article is a reflection on the effectiveness of the analysis of word processes in the acquisition of specialised terms. The development of linguistic competence at a higher level of proficiency involves confronting this type of vocabulary. The study described in the article will show that a thorough analysis of affixes, compounds or linguistic calques in specialised terms facilitates the discovery and memorisation of their meaning. It is worth using it as one of the teaching techniques."
Using Fiction as a Source of Real-World Knowledge

Fiction is defined in relation to historical discoursehistorical discourse, emphasizing both distinctions and common features. It’s argued that the significance and utility of using fiction to explore various aspects of the real world, whether nearby or distant, are substantial. Prior research on reader responses in these contexts is cited and underscored.
FACTORS AFFECTING STUDENTS’ READING ANXIETY IN EFL TEACHING AND LEARNING

The Problem statement of this research was what factors affecting the English reading anxiety for class XI.I students of SMA Negeri 4 Pasarwajo. The purpose of this study was to identify the factors that influence the reading anxiety of class XI.I students of SMA Negeri 4 Pasarwajo. This research used the qualitative research design. The subject of this research was student class XI.I SMA Negeri 4 Pasarwajo year 2022/2023. The data was obtained by observation and interview then was analyzed by the researcher with three steps: data reduction, data display, and draw conclusion or verification. This research found that there were three factors that affected the reading anxiety students’ class XI.I SMA Negeri 4 Pasarwajo. Those were hard to Understand Text, fear of making mistakes, lack of confidence.
Prevalence and Commonly Employed Premenstrual Syndrome Management Strategies Among Female Students at a Private University in Kenya

Premenstrual syndrome (PMS) is a common occurrence experienced by most women before and during their menstrual period. It is estimated that 58.1% of university going students in Turkey experience PMS while 53.87% female students in Ethiopia experience PMS. The condition is widely spread affecting 95.5% of female nurses in Nairobi, Kenya. Different management interventions have been used to manage PMS symptoms including use of painkillers and massage but; information on how University students manage the symptoms is either limited or completely lacking. This study aimed to investigate the prevalence of premenstrual syndrome (PMS) and commonly employed management strategies among female students enrolled at Kabarak University in Kenya. A cross-sectional descriptive study was conducted among 356 female students at Kabarak University from December 2022 to February 2023. Subjects were recruited using simple random sampling technique. Standardized close-ended questionnaires were used to collect data on prevalence and commonly used medical interventions. A total of 316 valid responses were obtained representing an 88.76% response rate. Majority of study subjects were between the ages of 18-23, single, and in their first year of education. Prevalence of PMS among the participants was found to be high, with 86.7% reporting experiencing PMS symptoms. The most common duration of menstrual cycles reported was 4-6 days. The majority of participants (63.9%) used some form of treatment to manage PMS symptoms, with medication being the most commonly employed approach (51.3%). Non-pharmacological interventions such as sleeping and warm/cold showers were also frequently utilized. In conclusion, PMS prevalence was high at the university highlighting the need for increased awareness and support for female students. Additionally, tailored interventions that address the diverse needs and preferences of the students are crucial for effectively managing their PMS symptoms.
Web-Based Geographical Information System Mapping High School and Vocational School In The City Of Ternate

The government of the Education Office of North Maluku Province is trying to overcome the problem of student distribution for schools in the city of Ternate, especially SMA/SMK/equivalent which aims to make all schools quality and there are no more superior schools. However, new problems arise related to the zoning system itself, sometimes some parents of prospective students and prospective students themselves do not know the schools in their domicile zone. The problem formulation is how to create and compile a Geographic Information System Mapping SMA and SMK in Ternate City. Designing a geographic information system that can provide information about web-based SMA and SMK Mapping in Ternate City and become a reference for the community in choosing their or their children's schools according to the zoning system. For testing the system is in accordance with the stages tested where for testing the system is used black box testing, namely testing to see the suitability of data accessed. The high school and vocational recession geographic information system was built using the PHP programming language, Mysql as a database, while for making locations of high school and vocational high school vulnerable places using google maps, maps API. All high school and vocational tracking information system uploads use black boxes, run as expected on the system upload carried out. From the results of this design, it will make it easier for parents to find information on SMA and SMK schools, such as the domicile zone of the school where they live.
PENGEMBANGAN MODUL BERBASIS MODEL ADIS (ARGUMENT - DRIVENT INQUIRY WITH SCAFFOLDING) PADA MATERI SISTEM REPRODUKSI MANUSIA

This development research aims to (1) produce a module based on ADIS (Argument-Driven Inquiry with Scaffolding) on material on the human reproductive system class IX in junior high school that is suitable for use. (2) to find out the students' responses to the ADIS-based module (Argument-Driven Inquiry With Scaffolding) on the material of the human reproductive system class IX SMP. This research was conducted at junior high school PGRI 1 Sukadana, East Lampung. This type of research is development research with the development model used by ADDIE, the data collection stage (analysis), the design stage (design), and the development stage (development). the stage of application of teaching materials (implementation), and the stage of feedback (evaluation). The types of data in this study are qualitative and quantitative data. The data collection instruments used in this study were interview sheets, product validation questionnaires, and student response questionnaires. Based on the validation results of module experts it was declared very feasible with a percentage of 85% which was accumulated from an average validation of design experts of 80%, an average validation of material experts of 87%, and validation of linguists 92% with very feasible criteria. Based on the results of the practicality test, the module was stated to be very practical with an average percentage of 91.67%. So it can be concluded that the ADIS (Argument-Driven Inquiry With Scaffolding) based module on the material of the human reproductive system has been declared very feasible and very practical.
ANALISIS PERBANDINGAN PERFORMA VIRTUALISASI SERVER MENGGUNAKAN VMWARE ESXI, ORACLE VIRTUAL BOX, VMWARE WORKSTATION 16 DAN PROXMOX

In the era of advancing digitization, server infrastructure plays a key role in the development of applications and web services. To effectively and efficiently manage and develop virtualized servers, server virtualization techniques can be employed. There are several virtualization platforms available, such as VMware Workstation 16, VMware vSphere (ESXi), Oracle VirtualBox, and Proxmox, each with their own strengths and weaknesses. The objective of this research is to analyze the performance of these four virtualization platforms in developing and managing virtualized servers used for web services, taking into consideration response time, throughput, CPU performance, storage performance, and RAM performance. Experimental methods were used to test these four platforms and measure CPU performance, RAM performance, disk performance, throughput, and response time using Moodle benchmark. The data was then analyzed to draw conclusions about the performance of each platform. The research results show that VMware vSphere ESXi and Proxmox have better CPU performance and response time when handling multiple virtual machines, and are more efficient in disk and memory usage compared to VMware Workstation 16 and Oracle VirtualBox. Significant differences in data transfer speed were found among the four platforms. Overall, VMware vSphere ESXi and Proxmox can be considered better choices for running web servers.
SISTEM INFORMASI PENJUALAN BAJU ADAT NIAS PADA TOKO WARISTO BERBASIS WEB

Along with the times, information technology is experiencing increasingly rapid changes in various fields. As in trading business, information technology has provided many benefits in trading business. The problem with the Warristo Store is that there is no system that can assist employees in recording sales of goods, data collection, stock reports and sales reports. The solution to solving this problem is to design an information system that can make it easier for employees to do their work by using several programming applications. The results of the research conducted and the information system that has been designed are to help employees in the process of recording sales of goods, collecting goods data, transaction reports and sales reports easily and being able to convey information about the latest goods to consumers easily.
The Connotation, Problems, and Practice of the Integration and Development of Vocational Education and Private Economy

The integration and development of vocational education and private economy is an important focus and direction for the new model of vocational education. This article first clarifies the connotation and three characteristics of vocational education and private economy: deep integration, interactive development, and coordinated innovation. Then, it discusses the insufficient motivation for private enterprises to participate in vocational education, slow professional updates in vocational colleges, and imperfect linkage mechanism between vocational education and private economy The difficulties and problems in the integration of vocational education and private economy development projects were analyzed, and finally, suggestions were put forward from the aspects of strengthening top‐level design, promoting the cultivation of technical and skilled talents, strengthening the construction of dual teacher training bases, and deepening the integration of industry and education in vocational colleges, in order to provide reference for promoting the integration of vocational education and private economy development.
Research on the Coupling Mechanism and Practice Path of “Education Chain” and “Industry Chain” in Vocational Education Design Majors

The collaborative coupling of the education chain and industry chain in vocational education for design majors is an important content related to social development and progress, as well as the optimization and upgrading of enterprise development. In the current era of unprecedented prosperity in social culture and art, China’s socio-economic development and transformation require innovative vocational education models for high-quality talents in design majors. Based on the perspective of industry and education integration, this article explores the construction of a collaborative coupling mechanism between the education chain and the industry chain, which helps to solve the problems of student skills and enterprise positions, talent supply and employment demand in vocational education for design majors.
A Robotic Concepts: Study of Perceived Brand Reputation and Customers' Perceived Performance in a Restaurant

Purpose: Budget, hygiene factors, and the issue of workforce shortages have accelerated the use of robotics technol-ogy in restaurant chains. Even though service robots could operate many functions and roles, further research is required in hotel settings to ascertain how various combinations of robots and humans at different product/service tiers may affect customers' viewpoints and intentions.&#x0D; Design/methodology/approach: This research study addressed the issue of data collected from 364 customers in Malaysia. This study examines both theoretical and managerial insights.&#x0D; Findings: The findings of the study on product theory and performance, the use of robots in core and facilitating product levels is far less likely to enhance consumers' perceived performance and brand reputation. The perceived performance of consumers' services influences their brand reputation and repurchase intention. Consumers' re-purchase intention is only positively affected by their perceived brand reputation.&#x0D; Research limitations/implications: This study employs an experimental design approach to investigate the use of robots in the restaurant context. Future research could focus on customers' real-world dining experiences with robot technology. Future research could be used to confirm the findings of this paper. All samples were collected from the Malaysia population, where diners' behavioral intentions toward robots may differ due to cultural differences. Thus, future studies in developed and developing countries are suggested to validate the research findings. Originality/value: The study adds to the literature on the product-level theory, robots versus human employees, brand and service performance, and behavioral intentions in the restaurant setting. The findings have ramifications for how robotic restaurants can improve restaurant image, expedite performance output, and mitigate the impact of the pandemic.