Reviewerly/exHarmony huggingface dataset:
ANALISIS KESALAHAN EJAAN PADA SURAT DINAS PESERTA DIDIK KELAS VII SMP NU 06 KEDUNGSUREN KALIWUNGU SELATAN KENDAL TAHUN PELAJARAN 2018/2019

Application of the Contextual Teaching and Learning Model in Learning to Write Persuasive Texts in Students of Class VIII of SMP Negeri 1 Tunjungan in the 2018/2019 Academic Year. Thesis. Faculty of Language and Arts Education, University of PGRI Semarang. Advisor 1 Dr. Asropah, M.Pd. and Pembing II Drs. Murywantobroto, M.Hum. July 2019. The purpose of this study was to describe the application of the Contextual Teaching and Learning (CTL) model in learning to write persuasive texts in grade VIII students of SMP Negeri 1 Tunjungan in the 2018/2019 academic year. Data collection methods used in this study were technical tests and non-tests. The test technique is in the form of writing persuasion texts in writing according to the theme, structure, language rules and correlations between paragraphs. Whereas the nontest technique is in the form of an observation sheet of learning activities of teachers and students and questionnaires. The approach used is descriptive qualitative. The population in this study were all students of class VIII. The sample in this study was class VIII B, amounting to 31 participants. The technique of presenting the results of the data analysis was done qualitatively by analyzing the application of the Contextual Teaching and Learning model in learning to write persuasive texts to students of class VIII of SMP Negeri 1 Tunjungan. The results obtained in learning to write persuasion text using the Contextual teaching and Learning model can be applied in learning to write persuasion text in class VIII of SMP Negeri 1 Tunjungan in the 2018/2019 school year. The ability of students to write persuasion texts gets good grades. Students can write persuasion texts by analogizing the themes that have been determined. Thus, students can pour ideas freely. This can be seen from the average value of students reaching 88, the highest value of 100, and the lowest value of 76. Keywords: application, Contextual Teaaching and Learning model, writing persuasion texts
MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts

In this work, we present a Multi-Model Knowledge Extraction (MMKE) System which consists of two unstructured text extraction models (RelationSO model and SubjectRO model) based on a multi-task learning framework. Instead of recognizing entity first and then predicting relationships between entity pairs in previous works, MMKE detects subject and corresponding relationships before extracting objects to cope with the diverse object-type problem, overlapping problem and non-predefined relation problem. Our system accepts unstructured text as input, from which it automatically extracts triplets knowledge (subject, relation, object). More importantly, we incorporate a number of user-friendly extraction functionalities, such as multi-format uploading, one-click extractions, knowledge editing and graphical displays. The demonstration video is available at this link: https://youtu.be/HtOPJrGhSxk.
LibGuides: Library Contactless Book Pickup Service: Academic Support

Information on access to physical library collections during Alternate and Remote Delivery.
The Opportunities And Challenges Of Blockchain Adoption In Supply Chain Management

Blockchain and its related technologies start to present the business values recently. The purpose of this study is to analyze blockchain adoption within the field of supply chain management by looking at companies that have already put blockchain technology into practice. Before looking at blockchain applications, a basic understanding of blockchain technology is provided. Blockchain was first introduced to the public in 2008 by Satoshi Nakamoto, whose identity is kept secret, released the whitepaper Bitcoin: A Peer to Peer Electronic Cash System. Since then, fascination and doubt have grown exponentially will Blockchain technology, and with cryptocurrencies in general. Blockchain is the foundation technology of cryptocurrencies. It is a shared ledger that cannot be altered and facilitates the process of transactions and tracking assets in a business network. Since blockchain technology is relatively new, there is much to be looked at with thinking about its impacts, good or bad, on the field of supply chain management. This research investigates the challenges that companies will face and potential opportunities when adopting blockchain adoption. A case study approach was utilized in this study. Overall, the research question is What are the opportunities and challenges of blockchain adoption in Supply Chain Management? This research conducts a case study of blockchain adoption within real companies. Different effects of blockchain on various aspects of supply chain management, such as quality, efficiency, traceability, are discussed and analyzed.
Developing Illustrated Storybook with Local Characters for Financial Literacy Learning in Elementary Schools

This study aims at producing illustrated storybook using local characters that meet the eligibility criteria. Research and development (R & D) were employed as the research design adopting the 4D models, consisting of four stages: defining, designing, developing, and disseminating. The defining includes need analysis, content analysis, and specification of objectives. The design contains preparation illustrated storybook, selecting characters, choosing story formats, and pre-designs. Developing involve expert validation on the material, language, media aspects and limited trials. Disseminate was carried out by distributing illustrated storybooks produced in several elementary schools in Merauke district, Papua Province. The results of expert validation and students’ responses indicate that the product developed has obtained the eligible category. Besides, the limited trial results to see the improvement of students’ understanding obtained by the n-gain value between the pretest and post-test were 0.51. It means improving students' understanding after using illustrated storybooks with local characters in the medium category.
AI to Design a Mask Insensible to the Distance from Camera to the Sense Objects

Face recognition has grown in popularity in image processing, and as a result, has made significant progress. A significant amount of new algorithm design is centred on the usage of convolutional structures to improve the algorithm's precision. For the first time, these convolutional structures enabled the extraction of even the most minor pixel information. Our objective is to construct a binary face classifier capable of identifying each face in the picture, independent of its alignment. We show how to efficiently create accurate face segmentation masks from any random input picture using the following method. Before performing the approach, the picture must be an RGB picture of any size, as previously stated. The following preconfigured VGG-16 training weights are used
Identifying Emotion on Indonesian Tweets using Convolutional Neural Networks

especially with the advancement of deep learning methods for text classification. Despite some effort to identify emotion on Indonesian tweets, its performance evaluation results have not achieved acceptable numbers. To solve this problem, this paper implements a classification model using a convolutional neural network (CNN), which has demonstrated expected performance in text classification. To easily compare with the previous research, this classification is performed on the same dataset, which consists of 4,403 tweets in Indonesian that were labeled using five different emotion classes: anger, fear, joy, love, and sadness. The performance evaluation results achieve the precision, recall, and F1-score at respectively 90.1%, 90.3%, and 90.2%, while the highest accuracy achieves 89.8%. These results outperform previous research that classifies the same classification on the same dataset.
“I Don’t Understand English Reading”: Utilizing Webtoon as Edutainment Medium to Foster Students’ Reading Comprehension

The demands of 21th century forced students to master in English reading. Yet, the problems faced by the students in reading comprehension still become the reason of alleviation in university level. Therefore, webtoon expected to be the medium that can foster students’ reading comprehension. This experimental study aims to investigate the effect of using webtoons in teaching reading comprehension in English. The design of this research was quasi-experimental. The research sample consisted of the 33 students of X TKL/A (class A of Electricity Department) as sample of experimental class and 36 students of X TKL/C (class C of Electricity Department) as sample in control class. Multiple choice type of test was given to the student and collected as the data of this research. Based on the result of data analysis, the alternative hypothesis is accepted which is there is significant effect used webtoon in teaching reading at the first grade of vocational state school in Majalengka. The data analysis showed that mean score in experimental class that utilized webtoon as medium was higher than control class that used printed narrative text only as medium. The independent t-test result also showed that tcount was higher than ttable (2.019&gt;2). In brief, webtoon as edutainment medium is effective to foster students’ reading comprehension especially in reading narrative text.
STRATEGI PROMOSI DAN PELAYANAN DALAM MENGOPTIMALKAN KUNJUNGAN KE PERPUSTAKAAN SD NEGERI KLECO 1 SURAKARTA

This study aims to find out about: 1) the application of promotion and service strategies in optimizing visits to the Kleco 1 Surakarta Elementary School library. 2) interest in reading and student visits to the library after the promotion strategy. The type of research in this study is qualitative with a descriptive research design. Data collection techniques are carried out using observations, interviews, documentation, and questionnaires. The validity of the data uses technical triangulation and source triangulation. Data were analyzed through domain analysis, taxonomic analysis, and comparative analysis. The results of this study indicate an increase in student visits through promotion and service strategies in the Kleco 1 Surakarta Elementary School library. There is an increase in student visits can be seen: 1) enthusiastic reading interest of students prior to the promotion strategy and library services by 6.11% at the end of promotional activities reached 56.11%. This study concludes that the promotion and service strategy in the Kleco 1 Surakarta Elementary School library can increase student reading interest. 2) the obstacle faced in increasing students' interest in reading at the Kleco 1 Surakarta Elementary School Library is the lack of time to use the library because of the relatively short rest time
EduPar Virtual Poster Session

This paper provides an overview of posters accepted for the EduPar 21 poster session. Poster sessions have been an important part of the EduPar workshops, providing an opportunity to facilitate interactions and fostering the community. After a hiatus caused by the COVID-19 pandemic we decided to resume the poster session tradition and to hold the first virtual poster session in EduPar’s eleven years history.
KONTRIBUSI DISIPLIN BELAJAR DAN LINGKUNGAN SEKOLAH TERHADAP HASIL BELAJAR SIMULASI DIGITAL

The objectives to be achieved in the study are as follows: 1) to find out the magnitude of the contribution of learning discipline and the school environment together on the learning outcomes of digital simulation of class X TKR students at SMK 1 BenerMeriah. 2) To find out the magnitude of the discipline of learning contributions to the learning outcomes of digital simulation of class X TKR students at SMK Negeri 1 BenerMeriah. 3) to find out the size of the contribution of the school environment to the learning outcomes of digital simulation in class X TKR SMK Negeri 1 BenerMeriah. The research method is based on a theory, expert ideas or understanding of research based on experience, then developed into problems that are proposed to obtain justification (verification) in the form of empirical data support in the field. The form of quantitative research the author uses because to find out how the contribution of learning discipline and the school environment to the learning outcomes of digital simulations at SMK Negeri 1 BenerMeriah. The results of the learning discipline hypothesis and the school environment jointly contribute positively to the learning desirability of the digital simulation class X TKR at BenerMeriah Vocational High School 1 11.09%. Learning Discipline contributes to the learning outcomes of the TKR class X digital simulation at SMK Negeri 1 BenerMeriah 3.06%, the school environment contributes positively to the learning outcomes of the TKR class X digital simulation at BenerMeriah Vocational High School 10.30%.Keywords: Contribution of learning discipline, contribution of school environment, learning outcomes.
Peningkatan Hasil Belajar Matematika dengan Media Google Classroom dan WhatsApp Sebagai Media Pembelajaran Daring pada Masa Pandemi Covid-19 bagi Siswa Kelas XII Busana 2 SMK Negeri 3 Baubau

This study aims to describe the improvement of student learning outcomes in mathematics subjects in statistics through Google Classroom and WhatsApp media. This research is a classroom action research in which the teacher plays a direct role in the online learning process. The subjects in this study were 32 students of class XII Busana 2 SMK Negeri 3 Baubau and the object of this research was to increase student learning outcomes with Google Classroom and WhatsApp media. The research instrument uses a test (daily test) in the form of an essay. The test is used to find out the results of learning mathematics. Based on the data analysis of students' mathematics learning outcomes in cycle I, there were 23 students who completed (71.88 %) and those who had not completed 9 (28.12 %), while in cycle II who completed it became 27 students (84.38 %) and unfinished 5 students (15.62 %) with an increase in the average value of the cycle I is 73.13 while the average value of the cycle II is 81.56 which has increased significantly, so based on the results of the data analysis obtained it can be concluded that with Google Classroom and WhatsApp media can improve student learning outcomes for class XII Busana 2 SMK Negeri 3 Baubau
Some standardized peculiarity in defining the processes / stages providing input data for Intelligent Security Systems development – peripheral security systems

The creation of an intelligent security environment is one of the main trends in the coming years, as security technologies will be a significant part of the developed systems, incl. physical protection and system integration systems will play a key role in d ata collection to ensure critical infrastructure (CI) security. Organizations equipped with intelligent security systems provide increased operational efficiency by using system integration for data collection and allow systems to “communicate” and work in tandem to provide real-time information for emergency preparedness or execution.In addition, data collected from advanced security technologies can be analyzed by system integrators to help senior CI management better understand how their organization works and make improvements based on the information gathered. Understanding the value of connecting different physical security systems, incl. and CI peripheral security systems, as well as ways to integrate them with other systems, is a key component in developing a smarter and more secure facility. Whether applying new CI solutions or upgrading compatibility solutions, system integration offers a variety of cost options that meet the specific needs of the business environment.Last but not least, threat information is used to determine the security regime of the CI as a basis for developing common requirements and performance targets, as well as criteria for assessing the conformity or effectiveness of physical protection systems. Modern standardized approaches have been developed, summarizing the good international practices, for determining the goals and / or requirements for physical protection, in accordance with the specifics of CI and for preventing any level of potential impact both in the sites and for the population in the neighboring territories. The development of requirements for peripheral security systems as an element of intelligent CI security systems and their integration in the CI as early as possible is the subject of this publication.
COVID-19 Age: Challenges in cybersecurity and possible solution domains

Threats to cybersecurity and cyberattacks respect no boundaries. Cybercriminals always try to exploit any crisis to facilitate their attacks, and of course, the COVID-19 pandemic is not an exception. From the very first beginning of the COVID-19 virus outbreak in March 2020, it has become very effective tool to commit cybercrimes as it has not only triggered huge upheavals in health, education, and the economy but has also led to broad implications on communication and information technology as well. In line with the increasing number and scope of cyberattacks, the growing concern caused by the pandemic has increased the possibility of successful cyberattacks. The significance of this paper is to highlight and review some types of cyberattacks associated with the COVID-19 presence. In addition, the paper recommends some guidelines and countermeasures for the micro-level of families, individuals and for business enterprise to implement potential means of risk management plans to actively mitigate and control the consequences of such malicious attacks. © 2021 Little Lion Scientific. All rights reserved.
Rational Mobile Application to Detect Language and Compose Annotations: Notespeak App

Students in international classroom settings face difficulties comprehending and writing down data shared with them, which causes unnecessary frustration and misunderstanding. However, utilizing digital aids to record and store data can alleviate these issues and ensure comprehension by providing other means of studying/reinforcement. This paper presents an application to actively listen and write down notes for students as teachers instruct class. We applied our application to multiple class settings and company meetings, and conducted a qualitative evaluation of the approach.
Coarse Coding In Value Unit Networks: Subsymbolic Implications Of Nonmonotonic PDP Networks

PDP networks that use nonmonotonic activation functions often produce hidden unit regularities that permit the internal structure of these networks to be interpreted (Berkeley et al, 1995; Dawson, 1998; McCaughan, 1997). In some cases, these regularities are associated with local interpretations (Dawson, Medler &amp; Berkeley, 1997). Berkeley has used this observation to suggest that there are fewer differences between symbols and subsymbols than one might expect (Berkeley, 1997). We suggest below that this kind of conclusion is premature, because it ignores the fact that regardless of their content, the local features of these networks are not combined symbolically. We illustrate this point with the interpretation of a network trained on a variant of Hinton’s (1986) kinship problem, and show how the network’s behavior depends on the coarse coding of information represented by hidden unit bands, even when these bands have local interpretations. We conclude that nonmonotonic PDP networks actually provide an excellent example of the differences between symbolic and subsymbolic processing.
All Saints' College LibGuides: Research & Referencing: Audio Visual

A guide for students and staff on referencing, copyright, creative commons and more Referencing audio or video sources
Constructing and evaluating model for teaching grammar

Encouraging to learn a sentence structure has got a great deal of basic consideration from educators. Sentence structure dominance is seen as a deciding angle to impart precisely in a composed structure, yet they frequently experience issues to procure it. Understudies may have essential information on principles or of sentence structures, yet a large portion of people despite everything commit errors just as blunders in their ensuing composition inspite of the fact that instructors have given satisfactory criticism. This idea pulls in the essayists to propose an elective model, called Create and Evaluate Model (CEM). Considerably, which involves five significant advances; forming sentences, examine audit, self-survey, educator's input and finishing up the idea. It is attested that CEM is one of the informative routes in constructing sentence structure that encourages to learn it adequately but additionally help them in building their own understanding, utilizing their insight in a worthy setting and building up their composing aptitude. The different language structure exercises utilizing CEM empowers them to have an option of people to coordinate the idea of punctuation into composing, become intuitive and community students, and hone high-request thinking abilities. This paper indicates that CEM properly applied in a language structure builds scores in punctuation tests and learning contribution. In such manner, the present article is planned to outline the idea and hypothetical system in constructing punctuation utilizing CEM, five significant strides to execute it, model, and its advantages.
Neural Network-based Framework for understanding Machine deep learning systems' open issues and future trends: A systematic literature review

Nowadays, we live in the fourth industrial revolution era, where artificial intelligence, big data with machine learning engineering, and its subfield, the deep learning approach, uses a massive amount of data. This enormous amount of data must be analysed and computed efficiently. In this study, we present BiMDLs (Big machine deep learning systems), which contains state-of-the-art interfaces, frameworks, and libraries. To the best of our knowledge, significant limitations exist in several open aspects of BiMDLs and interfaces, and their ability to analyse, compute, and efficiently develop enormous data. Each of these aspects represents a framework issue that is interlinked in one way or another. This paper's goal is to summarize, organize and examine current BiMDLs and their technologies via a comprehensive review of recent research papers, to provide a synthesis and discuss observations of current open issues and future trends. Therefore, a systematic literature review (SLR) was developed, and 284 solid studies were conducted, analysed and discussed. Furthermore, we highlight several significant challenges and missing requirements of existing big machine deep learning engines and future extension directions. We believe that this SLR could benefit big machine deep learning researchers, developers, and specialists for further improvement; especially in parallel computing environments.
treeheatr: an R package for interpretable decision tree visualizations

Summary treeheatr is an R package for creating interpretable decision tree visualizations with the data represented as a heatmap at the tree's leaf nodes. The integrated presentation of the tree structure along with an overview of the data efficiently illustrates how the tree nodes split up the feature space and how well the tree model performs. This visualization can also be examined in depth to uncover the correlation structure in the data and importance of each feature in predicting the outcome. Implemented in an easily installed package with a detailed vignette, treeheatr can be a useful teaching tool to enhance students' understanding of a simple decision tree model before diving into more complex tree-based machine learning methods. Availability and implementation The treeheatr package is freely available under the permissive MIT license at https://trang1618.github.io/treeheatr and https://cran.r-project.org/package=treeheatr. It comes with a detailed vignette that is automatically built with GitHub Actions continuous integration.