Reviewerly/exHarmony huggingface dataset:
Elaborating Procedural Texts and Videos of Indonesian Culinary to Enhance Speaking Performances

&lt;p&gt;&lt;span id="docs-internal-guid-eb6d3439-7fff-d409-e506-8c7ef1047ca1"&gt;&lt;span&gt;The study described how the elaboration of creating procedural texts and videos of Indonesian culinary was used in selected EFL speaking classes in Kediri, Indonesia. The subjects of the research were the second-semester college students of IAIN Kediri. The researcher found that students had low performances in the speaking class. Classroom action research was applied to the study. The instruments used to collect the data were field notes, questionnaires, and interviews. Then, the data were analyzed descriptively. The result of the study identified that students increased collaboration of group working, confidence, learning motivation, and creativity. The study resulted those problems in speaking English could be solved through this technique. This study implies that the students improved their speaking performances by demonstrating procedural texts of making Indonesian culinary and recording them into videos that could be deliberately spread out through the YouTube website to share as valuable sources of knowledge and tutorials.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
Resource Allocation Technique for Distributed System using Prioritized Class-Based Algorithm

Distributed Systems (DS) are the systems in which the components are distributed at different locations in a network and these components interact with each other by passing messages. In DS each system has a memory and a processor pair. DS is cost-effective, more reliable and faster when compared to the conventional computer systems. But there are some issues in the allocation of resources in such systems as the resources are shared over a number of systems apart from its own individual tasks. The current literature developed various techniques to allocate the resources efficiently by using basic algorithms based on local and global messages and tradeoffs. However, these methods may not be effective as they require special storage and maintenance and constraints the resource availability. In this paper, an efficient resource allocation technique is developed using prioritization and class-based algorithm. The tasks are first given priority and then resources are allocated by fixing a certain percentage of bandwidth for each priority group per execution cycle. The simulation results show that the proposed algorithm is efficient in resource allocation when compared to the conventional techniques.
Growing bigger and more accurate with GSBPM (part three)

Very different from other countries with only one language, Indonesia has more than three hundred local languages having more than seven hundred dialects. Currently all descriptions census and survey variables in questionnaire, data entry program, metadata, and interviewer guide book are available only in single national language. An interviewer may not be able to accurately translate variable descriptions from single national language to local languages and further to a particular dialect. This condition leads to misinterpretation and low accuracy in collected variables. We propose consolidation among local languages to produce official statistics variables at National Statistics College in the context of statistical education. Consolidation will produce multilingual official statistics equipment mentioned above. Every year there are several hundred new students at National Statistics College from almost every leading local language. These are untapped resources and are ready for this purpose. Data accuracy may be improved with multilingual descriptions variable. It will encourage a lot of information about a variable as much as local language but it will make data more accurate. There will be no biased variable because it has been explained in the local language. Generic Statistical Business Process Model (GSBPM) provides structured approach to arrive at more accurate data. A personal computer owned by every student offers far more ease and flexibility for review, validate, edit GSBPM sub-process during education. The academic campus has long standardized software to help for this purpose.
GEOCHEMICAL FEATURES OF NATIVE GOLD FROM THE YUGLER MINERAL DISTRICT (NORTH-EAST RUSSIA)

We have used the “Leader” and “PROFILE” software programs to analyze spectral study results for 242 native gold samples from lode deposits and placer relics of the Yugler mineral district. The Yugler black shales host gold mineralization characterized by the geochemical specialization in lead and copper, which assigns it to the style of gold mineralization at the Degdekan deposit but distinguishes it from the majority of similar deposits in Russia and abroad. Native gold in ore bodies and placers displays a distinct geochemical specialization. Native gold from ore bodies is high in As, Bi and Pb, from the Yugler placer in Cu, Pb, Fe and Mn, and Spokoiny and Matrosov’s placers in Sb and Ag. Vertical zoning of mineralization manifests itself as low-grade antimonious grains of native gold in eroded parts of the sequence and high-grade bismuth-lead-arsenious grains in its preserved parts. The mineral-geochemical formation model of the Yugler lode-placer district is a space-time succession of copper-polymetallic mineral assemblages replaced by arsenic-bismuth-polymetallic and then by silver-antimony-polymetallic assemblages. Antimonious mineral assemblages were most abundant in the southwest of the ore field.
Web-Based Design of Minangkabau Songket Motif Digital Catalog

Indonesia's richness in culture requires special attention in terms of its preservation, therefore it is important for us to maintain and preserve Songket cloth, especially its motifs which are rich in the philosophy of local wisdom so that they can be passed down to the next generation. Information technology can be used to solve these problems, especially for digital catalogs that can be used to help preserve Songket cloth through digitizing the motifs on each cloth. Through digitization, it will be easy to get information about the shape of the motif, the name of the motif, the philosophy contained in the motif through an application. The purpose of this study was to build a digital catalog system on the WEB-based Minangkabau Songket motif. The development of this system is carried out by means of data collection, system analysis, system design, and system implementation. This system is built using the PHP programming language and MySQL database. The results of this study provide a tool in the form of a Minangkabau Songket Motif Digital Catalog system. The benefits of research provide the development of deep catalog technology to store information related to Minangkabau Songket motifsSongket
SCIENTIFIC AND PRACTICAL CONFERENCE AS A FORM OF ACTIVITIES OF THE COMMUNITY OF RURAL TEACHERS

This article describes the experience of the conference «Development of rural educational organizations in the context of the National project «Education». The conference was organized by: Yaroslavl state pedagogical university named after K. D. Ushinsky, State educational institution of the Yaroslavl region «Institute of education development», Research center of the Russian Academy of education on the basis of YSPU, Yaroslavl regional public organization «Leaders of rural schools». The content of reports by well-known scientists of the country is briefly outlined, which identified the current problems of education and training of rural schoolchildren, due to the characteristics of the modern generation of children, the specifics of educational conditions in rural areas, and the resources of rural society. The speakers offered modern pedagogical ideas and tools for the successful implementation of the national project «Education» in rural schools. A number of presentations are devoted to the problems of professional development of teachers, scientific and methodological support of teacher training for rural areas. A review of the presentations of scientists and teacher-practitioners in seven sections is made: «Rural school-space for modernizing the content of education»; «Modern educational technologies»; «Rural school – space for equal opportunities for every child»; «Rural school – space for partnership and cooperation»; «Rural school – space for modern digital technologies»; «Professional development of rural teachers»; «Rural school – territory of public initiatives». Interesting experience of educational organizations is presented at master classes held on the basis of schools and kindergartens. The results of the scientific and practical conference, which was held for the first time in remote mode, were analyzed, the advantages of holding the conference in this format, as well as problems and difficulties, mainly of a technical nature, were identified. In conclusion, it is emphasized that the conference is an effective form of interaction between teachers from different organizations and regions, a means of stimulating their professional development and innovation in rural educational organizations.
PENERAPAN GRADIENT BOOSTING DENGAN HYPEROPT UNTUK MEMPREDIKSI KEBERHASILAN TELEMARKETING BANK

Telemarketing is another form of marketing which is conducted via telephone. Bank can use telemarketing to offer its products such as term deposit. One of the most important strategy to the success of telemarketing is opting the potential customer to create effective telemarketing. Predicting the success of telemarketing can use machine learning. Gradient boosting is machine learning method with advanced decision tree. Gardient boosting involves many classification trees which are continually upgraded from previous tree. The optimal classification result cannot be separated from the role of the optimal hyperparameter. Hyperopt is Python library that can be used to tune hyperparameter effectively because it uses Bayesian optimization. Hyperopt uses hyperparameter prior distribution to find optimal hyperparameter. Data in this study including 20 independent variables and binary dependent variable which has ‘yes’ and ‘no’ classes. The study showed that gradient boosting reached classification accuracy up to 90,39%, precision 94,91%, and AUC 0,939. These values describe gradient boosting method is able to predict both classes ‘yes’ and ‘no’ relatively accurate.
Facial Recognition Using a Lightweight Deep Neural Networks

Current facial recognition systems are still far away from the capability of the humanâ€™s face perception. Facial recognition systems can continue to be improved as technology evolves. The task of face recognition has been heavily explored in recent years. In this research, we provide our initial idea in developing Lightweight Deep Neural Networks for facial recognition. Although our goal was to create an optimal model that would exceed current facial recognition model performance, we could experiment and discover alternative approaches to multi-class facial recognition/classification. We tested with a dataset of 2800 images of men and women with specified image sizes. We created three CNN with various architectures, which we used to train with the chosen dataset for 20, 50, 100, and 200 classes per model. The experimental results exhibit the challenges of increasing the complexity of neural networks. From these results, we concluded that a Light CNN Model with a small number of layers had an average test accuracy of 94.19%, which was the best classification performance on unseen data.
Comparison of PGRI Course Study Results Using Google Meet vs. Zoom Meetings

This study was to compare the outcomes of studentâ€™s instruction in the PGRI course Semester 1 PGSD Study Program, Universitas PGRI Palembang, using Google Meet and Zoom meetings. The research method is quantitative, and the formula for the independent t-test is used (unpaired t-test). In this study, 81 students were sampled, with 40 using Google Meet in 1.Q and 41 using Zoom Meeting in 1.R. data collection instruments included documentation, observation, and tests. The findings revealed a significant difference in learning outcomes between the Google Meet application and Zoom Meeting in the PGRI course at the Universitas PGRI Palembang's PGSD study program. According to the findings of this study, using Google Meet is superior to using Zoom Meeting.
Analysis of Using Online Learning Media Via Whatsapp During The Covid-19 Pandemic At Smp Negeri 8 City of Bengkulu

The learning process during the COVID-19 pandemic must be carried out online. The use of media in learning becomes very important. This study aims to describe the effectiveness of using the WhatsApp application as a learning medium during the COVID-19 pandemic. The research subjects here are eighth grade students of SMP Negeri 8 Bengkulu City. This type of research is descriptive quantitative research. Data collection techniques in this study were carried out in the form of a questionnaire. The results obtained are that the use of WhatsApp as an online learning medium during the Covid-19 pandemic can be said to be quite effective with a score of 59.6% based on filling out a questionnaire by 15 class VIII students at SMP Negeri 8 Bengkulu City in achieving the goal. learning.
Oriented FAST Rotated BRIEF and Trie-Based Efficient Copy-Move Forgery Detection Algorithm

In the present world, it is obvious to suggest that images play a vital role as a source of information. But with the technologies available, forgery of such precision is possible that is not detectable by the naked eye. The main purpose of forgery analysis is to check whether there is any manipulation in the content of an image. Various algorithms have been proposed to detect image forgeries.
International Association of Geoanalysts

His research interests include studies related to cosmochemistry, geochemistry, biogeochemistry, and climate geochemistry.In the laboratory, his motivation is to devise ways of improving analytical methods so that the most appropriate solution
Digital Identity: A Human-Centered Risk Awareness Study

Cybersecurity breaches have been at the forefront of most news outlets, recently. People’s Digital Identity has been at the epicenter of cybersecurity breaches. Defining the composition of digital identity is the first step at risk identification and the first step towards risk mitigation. Cybersecurity risk management tools are lacking in user-centricity. Organizations like the National Institute of Standards and Technology have to craft user-centric personal cybersecurity risk management frameworks.
An Attitudinal Analysis of Student-Teacher Talk on Online Classroom Interaction

This study is conducted to find out the attitudinal resources used by a student-teacher talk on online classroom interaction through appraisal framework (Martin &amp; White, 2005). This research used a qualitative approach with adopted critical discourse analysis (CDA) research design. The subjects of this research were students in the fifth semester and teachers in Universitas Majalengka. The findings show that the dominant type of attitudinal system of student and teacher talk on online classroom interaction; The dominant attitude device found by students is Judgment which constitutes 23,33%, followed by Appreciation (16,67%), and Affect (13,33%). The dominant attitude device found by the teacher is Affect which constitutes 31,14%, followed by Appreciation (21,31%), and Judgement (11,47%). Students can use this kind of analysis a develop speaking skills based on character education that can provide basic rules for life and practice behaviors that reflect values. The way teachers and students express their emotional reactions shows their aspects and their relationships through the choice of language. The contribution of student and teacher talk in terms of appraisal analysis are; a sense of curiosity, sense of communicative, sense of responsibility, sense of respect for achievement, sense of honesty, and sense of independent.
Knowledge Sharing, Individualism, Collectivism, and Organizational Innovative Behaviour in Public Health Organizations

This paper focuses on investigating the more innovative employees, i.e., individualists or collectivists, in the public sector when it comes to knowledge sharing and organizational culture. The study adopted quantitative research technique and data was collected through an online survey. A field study was conducted and data was obtained from 480 employees working in Pakistan's two major public health institutions so as to test the study's hypotheses. A hierarchical linear regression model was used to test the hypotheses. The results show that there is a significant positive influence of organizational-based knowledge sharing, individual-based knowledge sharing, collectivism, and individualism on organizational innovative behaviour in the organizations. This study also found a significant positive impact of collectivism and individualism as moderators on organizational innovative behaviours. The study further concluded that collectivism has a higher positive impact on organizational innovative behaviour in comparison to individualism.
Education to Develop Reading Literacy by Analyzing the Intrinsic Elements of Short Stories in Islamic Junior High School Students’

We created a program to develop students’ reading literacy by analyzing the intrinsic elements of short stories. The method used is giving a pre-test, then giving material in the form of videos and power points, and post-test using 10 questions to 10 students’ of Islamic junior high school. The results of the pre-test showed that most of the students’ had answered correctly, with a score of 60%. The results of the post-test of students’ experiencing development are indicated by the achievement of a score of 90%. Students’ experienced an increasing scores because they had received the intrinsic elements of the short story before doing the post-test. The age of students’ does not affect the level of development of students’ in understanding the intrinsic elements of short stories. It is concluded that students’ can improve reading literacy by knowing how to analyze the intrinsic elements of short stories. Students’ can enjoy literacy activities by reading short stories by looking for intrinsic elements in the short stories they read. This program helps students’ in providing information about how to analyze the intrinsic elements of short stories so that they can help students’ develop in reading literacy activities.
ANALISIS KEMAMPUAN PEMAHAMAN KONSEP MATEMATI DAN KESALAHAN MENYELESAIKAN SOAL CERITA MENGGUNAKAN PROSEDUR NEWMAN

This research is a descriptive study, which aims to see the ability of students' conceptual understanding and errors made in solving story problems on fractional material using the Newman procedure. The subjects of this research were the fifth grade students in SD Negeri in Lalolae totaling 54 students. The instrument used in this study was an essay test which was developed and tested for feasibility. From the results of the research, from 54 students of the research subjects, the average value of students' conceptual understanding ability was 41.48 or in the low category. From the results of the categorization of students' conceptual understanding abilities, the majority of the students have concept understanding abilities in the low and very low categories with 74% in total. Furthermore, from the results of student error analysis using the Newman procedure, the students made 215 errors and the most errors made by students were Comprehension errors
An Assessment of The Web Presence of Top 10 University in Southeast Asia

The web presenceis said to be one of the factors a university to be visible in the web space. This study aims to assess Southeast Asia universities on the web space and expose the impact of universities online presence to the rank of the universities in the Southeast Asia region. The contribution of universities website in indicating the performance of the university by using the webometrics analysis method has not been widely done yet by other researchers.The use of webometrics analysis in determining the level of visibility of a web domain is still onthe early stage. To gather information about web links and visibility, search engine and web crawlers was used as well as webometrics analysisand web mention in analyzing the web presence and influence. Scatter plotwas generated to have a better insight of the analysis result. In summary, the study shows the involvement of the universities website on the web space does not give a directimpact to the ranking of the university in the world but the web mention by Wikipedia to the universities do have an impact. The use of webometrics analysis and web mention to study the web structure of an institution is possible.
INNOVATIONS AND THEIR ROLE IN THE PERSONNEL MANAGEMENT OF A PRESCHOOL EDUCATIONAL ORGANIZATION

the article examines the role of innovation in the management system of a preschool educational organization.
Vision Pro– A Lens Application

Object and text detection are very common in day to day life. Real world applications such as Google Lens, Bixby Vision and many other apps are available in our mobile phone. The single app which can Translate, Search and detect text in real time is popular in past years. Our Vision Pro is similar to them and basically an image recognition software which can translate the text, detect handwritten text, search for that text, and search for the objects. This technology uses Camera from the device and built on neural network. The idea of Vision Pro mainly comes from the Google Lens. It uses the Convolution Neural Network along with some major python libraries for translation, Tensorflow or Keras for model training and OpenCV for reading image and processing it. Also Vision API can also be used to make this type of program.
Preparation for the development and use of gender pedagogical games in the educational process of primary school on the basis of subject-object-subject approach

The article reveals the issue of preparation for the development and use of gender pedagogical games in the educational process of primary school on the basis of subject-object-subject approach. It was found that one of the main tasks of higher education is a professionally competent future specialist who is able to think freely and actively, independently generate and implement new ideas and technologies of teaching and education. An analysis of recent research and publications. Based on the generalization of theoretical positions and concepts «gender», «culture», «gender culture», the essence of the concept «culture of gender relations of junior schoolchildren» is revealed. Selected components of the gender of primary school age: the ability to identify with members of the same sex; the ability to relate their gender behavior to the behavior of others; knowledge of «female» and «male» activities, professions; external and internal aspects of masculinity and femininity; ideas about the partnership nature of family life; humane treatment of adults, peers of the same and opposite sex; types of gender representations; elements of knowledge about gender; sources; game activity. The structure of gender pedagogical games on the basis of subject-object-subject interaction is determined. It is substantiated that certain conditions should be taken into account for the organization of gender pedagogical games. Game techniques are offered for creation of gender pedagogical games. It is concluded that the use of gender pedagogical games based on subject-object-subject relations will lead to the successful development of the child as a whole.