Reviewerly/exHarmony huggingface dataset:
Improving the Family Economy Through Education on Making Pekaor (Organic Glass Cleaner) From Waste Orange Peel, Lemongrass, Aloe Vera in Brayan Bengkel District

Garbage is leftover material that is no longer used, disliked, or something that must be disposed of, which generally comes from activities carried out by humans. Reducing pollutants and wastes from the environment is absolutely necessary for us to understand the relative importance of using different steps and setting up networks for continuous changes in carbon especially in the environment. Citrus fruit is one of the fruits that we often encounter in Indonesia. Approaching the orange season, we meet many vendors selling oranges on the side of the road or in other public places at affordable prices. And also not a few people are interested in buying it. But most people often throw the skin from the oranges they eat out of place. This often disturbs the beauty and cleanliness of our environment. Lemongrass is also a plant that is often used in household kitchens. Meanwhile citronella waste has good quality with a protein content of 7%, far above rice straw waste which is only 3.9%. Utilization of Citronella Waste (Cymbopogon nardus) Ammonia can also be used as another mixture. Likewise, with aloe vera skin waste, it is necessary to utilize the skin waste more optimally so that it can be utilized. Aloe vera peel waste can be utilized to become an extract that has the potential as a natural antimicrobial agent because it contains a number of secondary metabolite compounds. Today, home business is one of the most promising forms of business. Various kinds of creativity are carried out to be able to generate additional income by utilizing materials that are easy and easy to obtain by utilizing existing waste such as orange peels, lemongrass, and aloe vera. One with a lot of waste is in the Pulo Brayan Bengkel Village, located on Jl. Commission B No.10b, Pulo Brayan Bengkel Baru has a non-productive community that has a direct impact, so various programs are needed to increase productivity, including self- sufficiency in meeting the community’s economic needs and product marketing. There are problems that need to be assisted by Partners, namely a lack of knowledge and skills regarding the processing of orange peel, lemongrass, and aloe vera waste in the Brayan workshop village, the Brayan Bengkel community does not yet understand in depth about the knowledge and skills in terms of making packaging designs/brands for these products, not yet have good marketing and management techniques. To solve this problem the service team tries to help provide solutions in the form of training in processing orange peel, lemongrass, and aloe vera waste, training in making packaging designs/brands, and training in marketing techniques for the results of the Brayan Bengkel Village community.
Development of comic-based electronic modules using canva design in elements periodic system material in class X SMA/MA

This study intends to create comic-based electronic modules using Canva design with accurate elemental periodic system content and find out how learners react to comic-based electronic modules. The research is of the type known as research and development (R&amp;D), which is based on the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). However, for small-scale trials, this step is only completed up to the implementation stage. The module developed is a comic-based electronic module using one of the applications, namely Canva Design to overcome the problems of students' difficulties in understanding the elemental periodic system material and increase students' learning motivation. Three validators, including two material experts and one media expert, evaluated the electronic module based on comic books. The validation of material specialists yielded a percentage of 98.44% in the valid category based on factors such as content viability, comic features, language, presentation, and graphics. A percentage of 98.86% was attained in the valid category for the media expert validation results based on a visual communication display and software usage. In the teacher response trials, students obtained an overall percentage of 87.66% while teachers received an 87% in the very good category. The comic-based electronic module created using a Canva design is legitimate and appropriate for use in content related to the elements of the periodic system, according to data analysis. Keywords: Comic-Based Electronic Module; Canva Design; Periodic System of Elements
Subjective approach in the study of professional self-development of a teacher in a digital educational environment

Introduction. Modern global processes of change in all spheres of society and the economy determine the priority of professional self-development of teachers who are ready to introduce new technologies and are able to change dynamically in the conditions of digital transformation of education and uncertainty of the future. The purpose of the study: to substantiate at the methodological level the process of professional self-development of a teacher in a digital educational environment and to determine at the empirical level the formation of a subjective and semantic position during periods of professional and pedagogical crises. Methodology, materials and methods. The methodological basis of the professional self-development of a teacher is a subjective approach, enriched with the idea of subject-semantic and subject-integrative regulatives. In the first case, the internal position of the teacher is the leading one, in the second – the influence of the external digital educational environment on the process of self-development during periods of professional and pedagogical crises. The study involved 76 teachers from educational institutions of general and secondary vocational education in Krasnodar and Krasnodar Krai. Questionnaires, testing, ranking, and correlation analysis were used as research methods. To assess the reliability of the established correlation coefficients, the Student's t-test was used. Results. It is established that teachers are characterized by a high level of activity in realizing their own needs for self-development (89.5%) and, as a result, low values of crisis-causing factors of professional and pedagogical activity (97.4%), as well as high indicators of factors of successful overcoming of professional and pedagogical crises (90.8%). The indicators of the realization of the need for active self-development and the factors of self-organization and selfcontrol of activities, as well as long-term goal-setting are significantly interdependent (tф&gt;tst; α = 0,05). Conclusion. The results of the study contain a solution to the significant problem of substantiating and modernizing the process of professional self-development of a teacher. The implementation of this process on the basis of a subjective approach makes it possible to increase its effectiveness, to provide socio-pedagogical support to selfdeveloping teachers in crisis periods in a digital educational environment. Keywords: professional self-development of a teacher, digital educational environment, subjective approach, subjectsemantic and subject-integrative regulatives, professional and pedagogical crises, socio-pedagogical support
The Impact of Website Quality on Online Purchase Intention: The Mediating Effect of e-WOM, Jordan Context

Purpose: The objective of the study is to investigate how the quality of a website impacts the intent to purchase, as assessed by factors such as usability, quality of information, service interaction quality, eWOM, trust, and satisfaction. Theoretical framework: This research has provided empirical evidence of the factors that influence the online shopping behavior of consumers. Design/methodology/approach: The research was conducted using a quantitative approach, with SPSS statistical methods applied. An online survey was administered to 303 customers in Amman, the capital of Jordan. Findings: The results suggest that website quality, customer trust, and satisfaction significantly and positively impact eWOM, thereby increasing the intent to purchase among consumers in Jordan's e-commerce sector. Research, Practical &amp; Social implications: This research offers valuable managerial principles to assist e-commerce businesses in improving their performance. It also provides valuable insights into the evaluation of eWOM and purchases intent in Jordan, serving as a foundation for future research in this area in Jordan and other countries. Originality/value: this study provides a foundation for future research to investigate the complex and multifaceted nature of online customer behaviour in the e-commerce context
ANALYSIS OF AUTOMATIC CONTROL SYSTEMS OF A MULTIPURPOSE AUTONOMOUS UNMANNED UNDERWATER VEHICLE WITH COMPLEX MOTION DYNAMICS

The overview article is devoted to the analysis of control systems of autonomous unmanned underwater vehicles, which belong to robotic underwater complexes and are used to provide search and deep-sea emergency and rescue operations, survey of various underwater objects (main pipelines, bottom structures, ship hulls, etc.), conducting scientific oceanographic surveys research, monitoring of the marine environment. The work examines scientific literary sources, which provide the results of development and research of orientation, navigation and motion control systems of multi-purpose autonomous unmanned underwater vehicles with complex movement dynamics, in particular when performing missions in a limited space with movement along complex trajectories. Special attention is focused on such modes of movement of devices as trajectory tracking, path-following and way point tracking. An analysis of the means of navigation and control, which can be used to ensure different modes of movement, was carried out, as well as the directions of development of both the unmanned underwater vehicles themselves and their control systems were considered.&#x0D; In order to substantiate the development of a control system for a multi-purpose maneuverable mini-class autonomous vehicle, the main requirements are formulated. It is proposed to conduct a synthesis and research of the control system based on the simulation of the dynamics of the movement of the mini-vehicle for different modes of movement in terms of parameters and trajectories, to develop algorithms for the adaptive control of the vehicle, to improve the system orientation and navigation, built on the basis of MEMS sensors. An information model of the development process is proposed and substantiated, which specifies the sequence of determining important parameters and characteristics of the vehicle and performing important stages of synthesis and analysis of the control system.
The Utilization of Deep Learning in Forecasting The Inflation Rate of Education Costs in Malang

The public needs information about the predicted inflation rate for education costs to manage family finances and prepare education funds. This information is also beneficial for the government to create policies in education. Malang is one of the educational cities in Indonesia, but research on the prediction of the inflation rate of education costs in the city still needs to be made available. Besides, the researchers have yet to find previous studies on forecasting that used the specific inflation rate for education costs in Indonesia by applying the Deep Learning method, especially those using the Consumer Price Index (CPI) data for the Education Expenditure Group. This research aims to develop a model to forecast the inflation of education costs in Malang using the Deep Learning Method. This research was conducted using Consumer Price Index (CPI) data for the Education Expenditure Group in Malang during 1996-2021s taken from the Central Bureau of Statistics (BPS) Malang. The forecasting method used is the Long and Short-Term Memory (LSTM) method, which is a development of the Recurrent Neural Network (RNN). The results showed that it achieved the best accuracy by a model with one hidden layer and four hidden nodes, namely MAPE=2.8765% and RMSE=8.37.
A Machine Learning-Based Web Application for Simplifying Data Analysis and Prediction

In our rapidly evolving world, technology advancements continue to shape our daily lives, prompting a shift towards modern and simplified techniques to accommodate our busy lifestyles.This project focuses on the utilization of machine learning algorithms, including linear regression, logistic regression, decision trees, SVM, Naive Bayes, KNN, K-means, Random Forest, dimensionality reduction algorithms, gradient boosting algorithms, and AdaBoosting algorithms, to streamline analytical work and prediction tasks.The system offers a user-friendly web interface that facilitates the loading of CSV and Excel data, allowing users to select and apply their preferred algorithm to suit their specific requirements.The system cleans the received data using data cleaning algorithms, and the user is presented with a list of options to assign algorithms to specific columns in the file.Graphs and charts generated by Google Charts based on the output of the predictions can be downloaded by the user.Additionally, the system enables users to visually compare two Excel or CSV files using charts, aiding in data analysis and comprehension.The application is developed using Django, Google Charts, Pandas, NumPy, and a MySQL database.Users can maintain distinct accounts to access their previous analytical work history conveniently.The application supports transforming various types of data into charts, allowing users to select and download the required charts.
Scientific Visualization for Interrogation of Results in Lighting Simulation System

Lighting modeling software packages often include a tool for processing and investigation of two-dimensional images that are the results of modeling. Functionality of these tools is usually minimal one and often consists of mapping of resultant images into monitor screen only. There are general image viewers and image processing programs. But in practice they either do not contain required functionality, or are so superfluous that result postprocessing becomes inconvenient with them. Therefore we had to implement own viewer that processes high dynamic range images generated by the lighting simulation and realistic computer graphics system as well as visualizes supplementary simulation information needed for engineer analysis. Lighting simulation module transfers to our viewer the generated image in physical values together with supplementary data. These data has per pixel nature and form additional layers of images. Our image processing module provides brightness high dynamic range compression for rendering of images generated with lighting modeling methods including stochastic ones, analysis of the image generation algorithms using additional data layers, applying additional visual effects for improving images appearance, and export of processed images to commonly used formats.
BluBSIoT: Advancing Sustainability through Peer-to-Peer Cross-Ledgering in Social Internet of Things

The global emphasis on sustainability has stimulated the demand for state-of-the-art solutions that drive the green and blue economy. However, the exponentially growing data analysis remains constrained, leading to a substantial disparity between data supply and demand. This discrepancy primarily arises from data being isolated, inaccessible, and infrequently shared due to concerns regarding data governance and privacy breaches. To tackle these challenges, we propose the integration of Peer-to-Peer (P2P) cross-ledgering within the Social Internet of Things (SIoT) framework as a promising approach to advance cognitive sustainability through improved information sharing and storage. The P2P network configured at the base facilitates a decentralized and secure exchange of information among diverse stakeholders involved in promoting sustainability. By leveraging the immutability and authorized accessibility of blockchain, consortia nodes evaluate and segregate data suitable for on-chain, off-chain, or one-to-one transactions. This ensures the safeguarding of sensitive data while enabling seamless collaboration and sharing. The integration of ledger systems enables interoperability across multiple platforms, fostering smooth information exchange between entities engaged in green and blue economy initiatives.
Pengaruh Model Pembelajaran Berbasis Game Wordwall Terhadap Kemampuan Peserta Didik Dalam Penguasaan Kosakata Bahasa Arab Kelas VIII MTsN 2 Kota Palu

Some students in Madrasahs do not like Arabic because they think it is difficult and boring. In this regard, the description in this thesis departs from the problem of whether the Wordwall game-based learning model influences students' ability to master Arabic vocabulary. This type of research is a quasi-experimental involving two class VIII consisting of 68 students. Collecting data in this study used a test, namely the pretest to determine the initial ability and the posttest to determine the final ability. The results of the homogeneity test show that all data have homogeneous variants, as well as the normality test which shows that the data is normally distributed so that a hypothesis test is carried out using an independent t-test. The results of the Independent t-test showed sig 2 tailed 0.486 &gt; 0.05, which means that H0 is accepted and H1 is rejected, which means that there is no effect of the Wordwall game-based learning model on the ability of students in mastering Arabic vocabulary for class VIII MTs Negeri 2 Palu City. The conclusions obtained are expected that educators use appropriate learning models to improve the quality of learning. For future researchers to be able to develop research using variables that are considered to have an influence on the level of mastery of students' Arabic vocabulary and choose the right learning model so that they can influence the improvement of student learning outcomes.
Feature-Based Complexity Measure for Multinomial Classification Datasets

Machine learning algorithms are frequently used for classification problems on tabular datasets. In order to make informed decisions about model selection and design, it is crucial to gain meaningful insights into the complexity of these datasets. Feature-based complexity measures are a set of complexity measures that evaluates how useful features are at discriminating instances of different classes. This paper, however, shows that existing feature-based measures are inadequate in accurately measuring the complexity of various synthetic classification datasets, particularly those with multiple classes. This paper proposes a new feature-based complexity measure called the F5 measure, which evaluates the discriminative power of features for each class by identifying long sequences of uninterrupted instances of the same class. It is shown that the F5 measure better represents the feature complexity of a dataset.
An interpretable ensemble model framework for real-time anomaly detection and prediction of Ethereum blockchain transactions

Blockchain is a growing technology nowadays.This technology is often associated with the terms "distributed" and "decentralized" technology that does not require a central authority (CA) to control certain processes [1].Therefore, the acceptance of this technology is increasing with the introduction of some of the latest applications in the world of decentralized financial (DeFi), non-fungible tokens (NFT), and metaverse.Previously, blockchain technology was widely adopted in several popular domains, such as digital government [2], health [3], business management [4], and smart cities [5].The understanding of blockchain is linked to several main functions: public key, private key, hash value, and peer-to-peer (P2P) network.
THEORETICAL AND METHODOLOGICAL PRINCIPLES OF MEANING THE SOCIO-ANTHROPOLOGICAL CODE OF THE UKRAINIAN PHILOSOPHY OF EDUCATION BASED ON THE CONCEPT OF A PERSON BY M. SHLEMKEVYCH

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Improving Students' Skills in Writing Narrative Text by Implementing Comic Strips Media at MA. Riyadlus Sholihin

This research was purposed to describe how comic strips media was implemented to improve students’ skills in writing narrative text at MA. Riyadlus Sholihin Probolinggo. This research applied Classroom Action Research (CAR) methodology. The researcher was helped by a collaborator in designing the lesson plan, implementing the action, observing the action, and making reflection. The subjects of the study were eleventh grade students of language program of MA. Riyadlus Sholihin Probolinggo. This action research consisted of two cycles because in the second cycle the criteria of success were achieved. Each of the cycle consisted of three meetings for teaching learning process and one for the test. The data analysis used quantitative data and qualitative data. The quantitative data were obtained from the students’ writing test and the qualitative data were obtained from observation checklist and field-notes.&#x0D; The criteria of success were fulfilled after the implementation or the treatment in the second cycle. It means that the students’ skill in writing narrative text improved. It is related to the students active participation, student interest, students` enjoyment during English learning using Comic strips media. It also reveals that the students’ achievement in the test with the mean score 77.56 which was better than the mean score in the pre- test, 62.6. This score was better than the mean score in cycle 1, which was 75.4. The observation checklist and field note also proves that the students are interested in learning narrative text by implementing Comic strips media.&#x0D; Based on the result of the research, it can be concluded that the implementation of comic strips media improve students’ skill in writing narrative text. In order to be successful, several procedures in teaching and learning activities should be followed. First, it has students discussion activities in groups. Second, the teacher explained detailed about sentence pattern of past tense and structure in which the students frequently made mistakes. Then, the teacher explaining conjunction to help students in collaborating sentences for good writing. Therefore, the result of this research is expected to help students to write better by implementing comic strips media.&#x0D; Key Words: Writing Skill, Narrative text, Comic Strips
Digital Literacy Analysis of Elementary School Students Through Implementation of E-Learning Based Learning Management System

The COVID-19 pandemic that has hit the world has resulted in changes in all aspects of life, including the education aspect. Initially, education was held face-to-face, due to the COVID-19 pandemic, face-to-face learning began to be limited. Face-to-face learning is replaced with online learning (e-learning) based on a learning management system (LMS) so that students are expected to still be able to learn even from home. The implementation of e-learning in the teaching and learning process in schools requires digital literacy competencies. Through e-learning students can access various information on the internet so that digital literacy skills are one solution in responding to the challenges of technological advances. This study aims to analyze the digital literacy skills of elementary school students through the application of LMS-based e-learning. This research is a descriptive analysis. The subjects in this study were fifth grade elementary school students who applied LMS-based e-learning as many as 25 students. While the data collection methods used are surveys and interviews. Data analysis methods used include data collection, data reduction, data presentation, and decision making. The results showed that there were three aspects, most of the students had sufficient digital literacy skills and there were four aspects where most of the students had good abilities. So it can be concluded that the students' digital literacy abilities are mostly in the sufficient and good category. Thus, e-learning can have an impact on students' digital literacy skills.