Reviewerly/exHarmony huggingface dataset:
Penerapan E-learning dalam Pembelajaran Bahasa Arab di Masa Pandemi

Today's online-based media learning innovations are increasing. In the world of education in Indonesia, there has been a shift in the tradition of learning from school-based offline to online technology-based, as a result of the Covid-19 pandemic. This study examines the application of E-learning in Arabic learning in class X IPS 3 MAN 3 Tulungagung. This study aims to determine the application of the use of E-learning in learning Arabic along with its benefits, driving and inhibiting factors. So that later the problems and shortcomings can be overcome. The method used is descriptive qualitative, data collection using observation, interviews and documentation. The results of this research are obtained first, in its application there are several kinds of online-based media used such as Web base learning, Zoom meeting rooms, WhatsApp, Ebook, and Google. Second, the application of Arabic learning during the pandemic was very helpful in overcoming the problems of implementing learning outside the network which was disrupted due to the corona virus outbreak. Third, there are several factors that encourage and hinder the successful implementation of online-based learning such as the internet network, the availability of communication tools, facilitators and control from teachers and parents to students. In addition there are factors that become obstacles, such as the lack of socialization on the use of E-learning, problematic internet networks, inadequate communication tools and lack of control from parents to students.
Probability Voting-based Ensemble of Convolutional Neural nets Classifiers for Image Classification

This study explores an ensemble technique for building a composite of pre-trained VGG16, VGG19, and Resnet56 classifiers using probability voting-based technique. The resulted composite classifiers were tested to solve image classification problems using a subset of Cifar10 dataset. The classifier performance was measured using accuracy metric. Some experimentation results show that the ensemble methods of pre-trained VGG19-Resnet56 and VGG16-VGG19-Resnet models outperform the accuracy of its individual model and other composite models made of these three models.
Prediksi Mahasiswa Berpotensi Non Aktif Menggunakan Data Mining dalam Decision Tree dan Algoritma C4.5

Non-active students are students who do not attend the lecture process and do not pay tuition administration fees within two semesters or more. Reports on students who are not active will have an impact on the quantity of tertiary institutions. Students who are not registered in non-active students will potentially be expelled or dropped out. For this reason, this research was conducted to explore information on potentially non-active students by applying data mining science with the Decision Tree method and C4.5 algorithm. The tested data were sourced from Triguna Dharma Medan College of Information and Computer Management (STMIK). The results of the study get prediction rules for student data that are potentially non-active with a very good degree of accuracy. So this research can be used to avoid students dropping out unilaterally.
Konsep strategi demonstrasi berbasis kemampuan kognitif pada mata pelajaran Komputer Jaringan di Kelas X TJK SMK Negeri 1 Seluma

This study aims to determine the concept of a cognitive ability-based demonstration strategy in class X TKJ SMKN 1 Seluma. This type of research is a qualitative field research (descriptive) carried out on 25 May-31 May 2021. This research uses the following data collection techniques, interview observations, giving tests and documentation. The subjects of this study were students of class X TKJ SMKN 1 Seluma, totaling 20 people. The results of the research conducted by researchers on 20 students who used the concept of a cognitive ability-based demonstration strategy, it was found that 16 students already understood and understood how to share data on 2 laptops/pc using a LAN cable, while the other 4 students did not really understand and understand how to share data on 2 laptops/pc using a LAN cable, and are still not able to do the test questions properly and correctly so they still get scores below the KKM.
ФОРМИРОВАНИЕ КОМПЕТЕНЦИИ САМООРГАНИЗАЦИИ В ПРОЦЕССЕ ПОДГОТОВКИ БУДУЩЕГО СПЕЦИАЛИСТА ИТ-СФЕРЫ

Currently, there is a tendency of increasing employers' interest in employing specialists capable of working remotely. The ability to organize the work of employees remotely has a number of advantages for the employer: saving costs associated with maintaining the workplace, providing staff to remote or hard-to-reach areas (branches). Russian legislation is also aimed at regulating labor relations in this area. These factors determine the relevance of the targeted training of a future IT specialist for remote work. The purpose of this study is to determine the content and organizational conditions for the process of preparing a future IT specialist for remote work. The article highlights the stages of remote work that can be implemented in the process of training a future IT specialist: choosing a set of interaction tools, agreeing on the goal of work and choosing forms for presenting intermediate results by stages of solving a problem, planning work, choosing a solution, solving a problem, present results, self-assessment. It is concluded that the willingness to work remotely is determined by the presence of personality skills in the field of self-organization. The components of the competence of self-organization are shown as applied to IT specialists in the aspect of the indicated stages of organizing remote work. Formation indicators are proposed for all components. The proposed structure of activities was applied in teaching the course «Web technologies» to students enrolled in the direction 09.03.03 «Applied Informatics». Simulation of the situation of future professional activity was implemented in the context of distance learning during the coronavirus pandemic, which made it possible to create the most realistic conditions for remote work. The obtained results showed that the presented system of organizing the educational process and assessing the ability to perform work remotely can be successfully used when students perform professionally oriented tasks.
News from the Field

University of South Florida Libraries obtain Audubon Florida’s recordsACRL sets 2020 legislative agendaCARLI statement on the importance of a director in charge of the academic libraryArcadia grant supports publication of open access monographs at MIT PressProject MUSE announces MUSE in Focus: Contextualizing PandemicNew ACRL Framework for Access Services Librarianship
KORELASI ANTARA KEMAMPUAN GURU MELAKSANAKAN PEMBELAJARAN DENGAN MEDIA KAHOOT DAN HASIL BELAJAR MENULIS TEKS KARYA ILMIAH SISWA SMAN 3 SINTANG

ABSTRACTThis study aims to describe the correlation between the teacher's ability to carry out learning, hereinafter referred to as X1 and the ability to use kahoot media, hereinafter referred to as X2, with the results of learning to write scientific texts of students of SMAN 3 Sintang, hereinafter referred to as Y. The research method used is correlative with the form of quantitative research. The population in this study were students of class xi, and the research sample was 30 students. The data collection techniques used were indirect questionnaires and documentation. The data collection tools were questionnaire sheets and documentation. The results showed that there was a correlation between all variables. The significance between the variables X1 and Y is 0.024 which can be concluded that there is a correlation with a correlation coefficient of 0.411 which is at a moderate degree of relationship. The significance between the variables X2 and Y is 0.003, which can be concluded that there is a correlation with a correlation coefficient of 0.522 which is in the degree of moderate relationship. The significance between the variables X1 and X2 to Y is 0.007 which can be concluded that it has a correlation with a correlation coefficient of 0.552 which is at a moderate degree of relationship. Keywords: Teaching Ability, Kahoot Media, Learning Outcomes
Bookkeeping Characteristics of the Educational Editions from the Old Printing Collection of Community Center "Nadezhda" - Veliko Tarnovo

The article presents the way in which the educational editions are constructed, the overall layout of the book body and the fragments that make it up - the information value of the title, the organization and the structure of the text volumes; the place of illustration in the structure of the Revival textbook. In view of the authorship, this part of the old printed collection of Community center "Nadezhda" provides information about the popular names in the educational program of the XIX century. The branch and thematic orientation of the textbooks, in turn, highlight the educational priorities and the reading attitudes in Tarnovo during the Revival. With these characteristics, the educational books from the old printed collection of Community center "Nadezhda" become an essential element of the literary atmosphere in Tarnovo and the Revival culture. They are a valuable literary and documentary heritage and a good research base for book publishing, readers and reading during the Renaissance. Keywords: Community Center "Nadezhda", Veliko Tarnovo; Literary and Documentary Heritage; Bulgarian Book Publishing During the Revival
PENERAPAN INTERNET SEHAT SEBAGAI INTERNET SERVICE PROVIDER MENGGUNAKAN NETWORK MONITORING SYSTEM ZABBIX DAN SQUID PROXY

Internet users continue to grow. However, there are still many who have not experienced the Internet. One of the contributing factors is the cost of the Internet which is not cheap. Most Internet users get Internet access by subscribing to their respective ISPs. In addition, today more and more crimes are committed via the Internet. This study aims to provide a solution to reduce the cost of subscribing to an ISP and provide healthy Internet access. At Ciruas Center Shops, all traders and buyers use the Internet. Even if it's just for entertainment or even for buying and selling. The system applied in this research is where Internet users can get Internet access only by subscribing to one ISP. That way the fees paid to the ISP can be paid by mutual cooperation. The result of this research is an Internet provider system in which there is Zabbix Network Monitoring System (NMS) software as a network traffic monitor and Squid Proxy as a barrier as well as security when connected to the Internet.
Phishing Attack Detection using Machine Learning

There are number of customers who buy items on the web and make installment through different websites. There are various websites who request that client give delicate information, for example, username, secret word or master card points of interest and so on regularly for noxious reasons. This sort of websites is known as phishing site. With a specific end goal to identify and foresee phishing site, we proposed an astute, adaptable and successful framework that depends on utilizing characterization Data mining calculation. We actualized arrangement calculation and strategies to extricate the phishing informational collections criteria to order their authenticity. The phishing site can be identified in light of some imperative attributes.This application can be utilized by numerous E-trade endeavors to influence the entire exchange to process secure. Information mining calculation utilized as a part of this framework gives better execution when contrasted with other conventional orders calculations. With the assistance of this framework client can likewise buy items online with no delay. Administrator can include phishing site url or phony site url into framework where framework could access and sweep the phishing site and by utilizing calculation, it will add new suspicious watchwords to database. System utilizes machine-learning method to include new catchphrases into database.
Implementing Data Distribution Management System Using Layer Partition-based Matching Algorithm

Simu lation has become a popular tool to study a broad range of systems.The growing number and quality of simulat ion software requires expertise for their evaluation.In High Level Architecture paradigm, the Runtime Infrastructure (RTI) provides a set of services.Data Distribution Management (DDM) service reduces message traffic over the network.DDM services are used to reduce the transmission and receiving of irrelevant data and aimed at reducing the communication over the network.Currently, there are several main DDM filtering algorith ms.The paper describes p ractically testing result for the data distribution management (DDM) service of the Battleground simu lation with the dynamic fighters by using layer partition-based algorith m.The layer partition-based matching algorithm is based on divide and conquers approach.It selects the dynamic pivot by detecting the regions distribution on the routing space.This system intends to detect the movement of the fighter objects, searches overlap between the fighter object and every battalions (extents).It is large-scale distributed simu lation in order to minimize subsequent computations and algorith m co mplexity.The developed system can be used not only in the research purpose but also in the real-world distributed applications.It provides the low computational time and exact matching result.
Introduzione all’Utilizzo delle Pentatoniche nell’Improvvisazione Jazz - Parte 2: le Progressioni IIm7b5 | V7 | Im7 e IIm7b5 | V7 | Imaj7 [Short Introduction to Pentatonic Improvisation – Part 2]

The aim of this article lies fundamentally in providing musicians with a method that may effectively assist them in learning the so-called Pentatonic Improvisation.The method is entirely based, like any language, on the concept of combination.In this second part we exclusively address the improvisation techniques suitable for the harmonic progressions Dm7b5 | G7 | Cm7 and Dm7b5 | G7 | Cmaj7.For each of the abovementioned progressions, we deduce 128 combinations characterized by different degrees of complexity and linguistic purity.josha.org
Network Safety On Blockchain-Based Applications Across Multiple Domains

The associate surveyed making that endeavors to use blockchain for cutting edge veritable assessment of the most unimaginable constantly followed blockchain disclosure programs. Our exposures as do affiliations and structure affirmation, public-key cryptography, web social affairs, affirmation plans, and the stunning amassing of Personally Identifiable Information (PII). This sensationally organized purposeful assessment in like manner reveals understanding into future headings of studies, preparing, and rehearses in the blockchain and alliance protection space, for example, thriving of blockchain in IoT, the security of blockchain for AI authentic elements, and sidechain consistence. Blockchain has (dependably) end up being one of the most routinely intimated systems for guaranteeing about data parking spot and switch through decentralized, trustless, circumnavigated structures. The vital watchword looks through the presentation that there is a tremendous degree of papers identified with blockchain. The advances of blockchain and truly assigned decentralized structures have best been progressed for a long time and are totally still in their early phases.
Nsu @ Alliance

have developed innovative programs designed to meet the needs of both the local industry and the University's regularly enrolled students.This cooperative arrangement has become known as NSU @ Alliance.Alliance began production of scroll air conditioner compressors for Copeland Corporation, Lennox Industries, and Trane Company in 1998.Its state-of-the-art manufacturing facility is a key ingredient in the educational process of
Implementation of Montgomery Multiplier using Scalable Architecture

This paper describes the methodology and design of a scalable Montgomery multiplication module. This multiplier can manipulate any number of bits without any limitation. The size of a word depends upon the area which is available and also the performance which is required. After the general architecture is described, hardware organization is analyzed for implementing parallel computation and the discussions on design tradeoffs are done for recognising best configuration for hardware.
The I International Scientific Practical Conference “Breakthrough Technologies and Communications in Industry”

International Scientific Practical Conference "Breakthrough technologies and communications in industry" (BTCI2018)
Problematika Pembelajaran Maharah Qiraah Daring: Studi Kasus Terhadap Mahasiswa PBA IAIN Syaikh Abdurrahman Siddik Bangka Belitung

Online learning during this pandemic poses many problems. A common problem is that not all students have smartphones or a good network in their homes. Therefore, this study is intended to see more about what problems students face in learning reading skills. This study used a quantitative approach with descriptive methods. The subject of this research is students in the Arabic education program in the 4th semester. To collect data, the researcher used questionnaires and analyzed them using percentage techniques. The results of this research showed that the problems in learning reading skills faced by students of the Arabic education program IAIN SAS Bangka Belitung include: 1) Linguistic Aspect. More than 50% of students have poor language skills, especially in the mastery of nahwu and sharf, and 2) Non-linguistic Aspect. There are no significant problems, except for problems with the lost network caused by changes in weather or power outages.
CONCEPT OF PRIVACY FROM ISLAMIC PERSPECTIVE IN FLOOD EVACUATION CENTRE

The flood events in Kelantan during December 2014 were examples of disasters in recent years that garnered national attention. Emergencies can occur with little or no warning. Floods deprive families of basic food and shelter, and lead to significant social and emotional impacts that linger long after the event. Every year, schools and community areas have been used as evacuation centres. A number of problems faced by the evacuees have been identified, especially in terms of physical facilities such as the lack of privacy for women and families, especially during night time. The objectives of this paper are as follows: (1) to study on the concept of privacy from an Islamic Perspective; and (2) to assess privacy in the context of a flood evacuation centre. The data gathered were tabulated. The research also utilised secondary data from literature. Data were analysed using content analysis and case studies. The data were analysed based on issues raised. Recommendations and suggestion are posed on overcoming the identified issues and problems. This research contributes a review of examples of evacuation facilities that follow Islamic teaching in the context of privacy in evacuation centres.
Cornsweet surfaces for selective contrast enhancement

A typical goal when enhancing the contrast of images is to increase the perceived contrast without altering the original feel of the image. Such contrast enhancement can be achieved by modelling Cornsweet profiles into the image. We demonstrate that previous methods aiming to model Cornsweet profiles for contrast enhancement, often employing the unsharp mask operator, are not robust to image content. To achieve robustness, we propose a fundamentally different vector-centric approach with Cornsweet surfaces. Cornsweet surfaces are parametrised 3D surfaces (2D in space, 1D in luminance enhancement) that are extruded or depressed in the luminance dimension to create countershading that respects image structure. In contrast to previous methods, our method is robust against the topology of the edges to be enhanced and the relative luminance across those edges. In user trials, our solution was significantly preferred over the most related contrast enhancement method. © 2014 Elsevier Ltd.
Fuzzy Decision Based Median Filter for Removal of Impulse Noise

This paper presents the advanced fuzzy decision based median filter for removal of impulse noise present in digital images. The digital images are easily gets disturbed by different types of noises and traditional filters are not able to handle all types of noises present in the digital images. The fuzzy approach is adopted to improve the all other traditional median filters to achieve the optimum performance. This can be seen by adjusting the parameters of fuzzy image filter. The two blocks i.e. of original image and noisy image are taken and the third block can be obtained through the product of these two blocks. The final output image which can be seen as a result of taking mean and median of third block. From the point of view of execution time and PSNR ratios, the image filtering results demonstrates the feasibility and effectiveness of the proposed filter.
Security and Confidentiality of the Data using Block Level in Health Care System

Nowadays rapid development of cloud computing in smart healthcare system has significantly improved the quality of health. However, data security and user privacy are a major concern for smart healthcare systems. These days any kind of data can be used for malicious purposes. Many harmful entities constantly try to gain access to the personal data of internet users. This data includes sensitive information that doctors store of patients and is often stored using some kind of third party cloud providing service that is not very secure. To take care of this issue, in this paper, Symmetric Balanced Incomplete Block Design (SBIBD) is utilized for key Security so that unauthorized client can’t get access to the data easily. It also allows the patients immediate and easy access to the data using unique user ID. This system makes use of double encryption using Blowfish algorithm to ensure maximum security of data and the concept of block level is used where data is stored using multiple blocks.
Secure Knee Prosthesis – Processing of Encrypted Data and User Authentication

Today, Implemented Medical Devices (IMDs) are key elements of the healthcare system being more and more complex with connectivity facilities. Participating to data collecting, they contribute to improve patient follow-up as well as medical practices. However, with such a connectivity security threats are significant and can be the cause of decision errors, patient privacy concerns and so on. This is why, international and national regulations make mandatory to consider security when developing new IMDs. In the context of resource constrained connected Knee Prosthesis (KP), we present: 1) a solution to securely process data emitted by KP on untrusted Human Machine Interface (HMI) and implementation times; 2) an authentication protocol for installing trust between the different entities involved in the process.
Broken Character Recognition using Connected Components and Convolutional Neural Network

Recognizing broken characters in scanned and ancient scanned text document is not easy because the characters may be broken and unclear. Many researches have been carried to recognize these broken characters. In this research paper we have described a new broken characters recognition method for English text documents only. The proposed method uses a hybrid approach which uses connected component concepts and convolutional neural network to identify the broken characters. The input to the approach is scanned or ancient text document which contains unclear text that is difficult to recognize and hence our new proposed methodology will recognize these characters with greater accuracy and it will give the recognized characters to the user. The projected technique has attained a precision up to 92% in recognition.