Reviewerly/exHarmony huggingface dataset:
Applying circuits - training method combined with jigsaw technique to promote students' positive characteristics

Today, teachers should have the role of bringing learners from passiveness to activeness in the formation of qualities and competencies. Active learning - actually cognitive positivity - is a process, in which learners have the desire to understand, mobilize intelligence and put high energy into the process of acquiring knowledge. Learners should not be provided with designed lectures and ready knowledge, but they have to learn, analyze, practice handling situations and solving problems on their own. Applying active teaching techniques in the teaching process is one of the most effective ways to promote learners' positivity. In the scope of this article, we apply the form of station-based teaching combined with the puzzle technique to promote the students' activeness and initiative.
Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind / Double-blind / Triple-blind / Open / Other (please describe) - All the review process was done single-blind through Microsoft CMT platform. Average three reviewers involved for each paper. In the CMT system, we provide each reviewer with a Review Questions form. • Conference submission management system: - Microsoft Conference Management Toolkit (CMT) • Number of submissions received: 36 • Number of submissions sent for review: 36 • Number of submissions accepted: 26 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 72.2 % • Average number of reviews per paper: 3 reviewers • Total number of reviewers involved: 53 • Any additional info on review process: No • Contact person for queries: Name : Assoc. Prof. Ir. Dr. Shamsul Sarip Affiliation: Universiti Teknologi Malaysia Email :shamsuls.kl@utm.my
ANALISIS KESALAHAN BERBAHASA ASPEK EJAAN PADA KUMPULAN CERPEN KARYA SISWA SMP IT NURUL ISLAH

This study aims to classify and explain the spelling aspects of a collection of shortstories by students of SMP IT Nurul Islah. The object of research, namely the analysis of spellingerrors in a collection of short stories by students of SMP IT Nurul Islah.The method used in this research is descriptive analysis method. The analysis in thisstudy is based on PUEBI. The error aspects analyzed include the use of capital letters, the use ofpronouns, the use of conjunctions, the use of prepositions, the use of loan words, and the use ofpunctuation marks.The number of errors in short stories written by students is as follows: 16 errors in theuse of capital letters, 5 errors in the use of pronouns, 15 uses of conjunctions, 15 uses ofprepositions, 2 uses of absorption words, and 11 uses of punctuation marks.
AN ANALYSIS OF STUDENTS’ DIFFICULTIES IN COMPREHENDING DESCRIPTIVE TEXT

This research was designed to find out the difficulties faced by the second-grade students’ in comprehending descriptive text in SMPN 01 Sungai Raya Kabupaten Kubu Raya. A descriptive research design was used as the method of this study. The data was collected through a measurement test in the form of multiple-choice as the technique to collect the data. To analyze the data, the researcher has used the formula for students’ mean score and students’ percentage of right and wrong answers. This research was focused on five aspects in reading comprehension namely main idea, detailed information, vocabulary, inference and reference. The findings of the study revealed that the mean score of the students’ reading comprehension of descriptive text is categorized as poor. The difficulties faced by the students are in understanding vocabulary and reference.
Pelatihan Instalasi dan Penataan Sistem Tata Suara Masjid

Mosques are one of the places where community activities are concentrated in the religious field, especially in Indonesia where the majority of the population is Moslems. The mosques are also important means of spreading religion, due to the close location and spread out in the community. The arrangement of the sound system in a mosque is one of the vital things to support religious activities. The purpose of this activity is to provide training on the installation and arrangement of sound systems at the Darul Muttaqin Mosque, Kedungkandang District, Malang. Training is given to mosque takmirs so that they can install and maintain sound systems in mosques. The result of this training was that the sound system of the mosque which was initially bad due to a buzzing sound and did not clearly convey the information provided became clearer and no longer disturbed the congregation or local residents. When there is a sound system problem, takmir can repair it directly without the need to wait for a technician so that religious activities and messages run smoothly.
Secure Virtualization for Cloud Environment Using Guest OS and VMM-based Technology

Cloud computing, the utility base computing, is going to become the mainstream of IT future. Governments and enterprises are realizing that by immigrating into the cloud they can significantly enhance their current infrastructure or application services with minimum cost and maximum elasticity. But securing cloud user digital assets and addressing privacy concerns of cloud costumers has become serious challenge. Providing security in cloud always has to consider performance. Employing high secure methods with massive complexity will increase overall service cost, to address this problem in this paper a two- tier security architecture is proposed. This architecture use multiple work mode for security components in guest level to decrease security process over-head and a security supervisory in hypervisor layer to make sure avoiding from false security alarms
PENTINGNYA PENGUASAAN APLIKASI MICROSOFT OFFICE UNTUK MENINGKATKAN KEMAMPUAN HARD SKILL MAHASISWA

The development of technology at this time has progressed very rapidly, especially in application software on computers. One application program that is currently developing along with information and communication technology is Microsoft office which can be used to perform document processing and administration. Microsoft Office is deemed necessary to be taught to students regarding the use of these applications, especially Microsoft Excel applications in order to improve students' abilities in using formulas in Microsoft Excel. Microsoft Excel is part of Microsoft Office which is often used for processing numbers. The method used is the tutorial method (assistance), question and answer and direct practice using the application. The material presented consists of an introduction to functions and formulas in Microsoft Excel. There were 12 participants who took part in this activity. This activity begins with the delivery of material in the form of a presentation (tutorial) and the material presented is immediately practiced by students.
A New Perspective of Entropy

This article describes a new connection between two seemingly disparate topics in science, namely entropy and higher mathematics.It does not assume prior knowledge of either subject and begins with a brief introduction to information theory and a concept known as Shannon entropy, which we simply refer to as entropy.We then survey the vast landscape of higher mathematics, giving special attention to advanced analogues of high-school algebra and geometry known as abstract algebra and topology, respectively.Our goal is then to show that entropy, abstract algebra, and topology are inextricably linked through a version of a well-known formula from calculus known as the Leibniz rule.This result is given in the author's recent work in [Bra21], and this present article is intended to give an overview of the ideas by gently introducing them from the ground up.
A study of employees at SMEs in Jordan shows employee engagement fully mediates the relationship between HPWS and employee creativity

Purpose The author said his study suggested a unique mechanism for the link between HPWS and organizational innovation and also filled a gap in existing research. Previous studies have tended to concentrate on outcomes at the organizational level rather than individual level. Design/methodology/approach The author sent the questionnaire to employees at R&amp;D centers, where employees are expected to produce a lot of creative ideas. Each organization in the study had a maximum of three employees responsible for R&amp;D. In total, 272 complete questionnaires were collected from 159 SMEs in Amman, in Jordan. Findings The study confirmed that employee engagement fully mediates the relationship between HPWS (high-performance work systems) and employee creativity. Results showed it accounted for 69.5% of the variance. The author of the report also revealed that perspective-taking also moderated the relationship between HPWS and employee engagement, and employee creativity predicted organizational innovation to moderate levels. Originality/value The positive results of the study have theoretical implications, the author argues. It proposed a causal mechanism of mediation, which was an original contribution. And it also focused on individuals, whereas other studies have tended to concentrate on outcomes at the organizational level. Management must also take into account the vital role HPWS play in shaping creativity and engagement. On the other hand, training can’t be offered for the sake of it, but in order to influence the employee’s view of the organization.
Detailed Study of Low Density Salt and Pepper Noise Removal from Digital Color Images

Color digital images are greatly affected by salt and pepper noise, which negatively affects the clarity of the image and its characteristics. In this paper research we will investigate various filter used to deal with salt and pepper noise, a comparison will be done between these filters according to the calculated values of MSE and PSNR. An improvement procedure will be added to each filter to show how this improvement will enhance the values of MSE and PSNR and thus enhance the quality of the denoised image. Various noise densities will be experimented and it will be shown how median filter can be highly recommended to reduce the negative effects of salt and pepper noise.
Fuzzy Inference System In Predicting Unemployment Rate In City X Using Sugeno Method

Unemployment in Indonesia is currently increasing. This can be seen from the number of unemployed and workers who are looking for job vacancies either directly or through applications. The problem in this study is the lack of understanding of job applicants about the terms or criteria for applying for a job so that they are not accepted in a company. There are five criteria that must be considered in applying for a job, namely, education, vacancies, age, opportunities and knowledge. The purpose of this study is to help job seekers to complete and understand the criteria that have been set. This study uses the Sugeno method with the final result in the form of linear or constant. The working process of the Sugeno method is fuzification, inference engine, application of implication and defuzzification functions to obtain results in accordance with the decision-making system.
Research Aligned Analysis on Web Access Behavioral Pattern Mining for User Identification

Human activity understanding includes activity recognition and activity pattern discovery. Monitoring human activity and finding abnormality in their activities used by many field like medical applications, security systems etc. Basically it helps and support in decision making systems. Mining user activity from web logs can helps in finding hidden information about the user access pattern which reveals the web access behaviour of the users. Clustering and Classification techniques are used for web user identification. Clustering is the task of grouping similar patterns for web user identification. Classification is the process of classifying web patterns for user identification. In this paper we have implemented the existing works and discussed the results here to find the limitations. In existing methods, many data mining techniques were introduced for web user behaviour identification. But, the user identification accuracy was not improved and time consumption was not reduced. Our objective is to study the existing work and explore the possibility to improve the identification accuracy and reduce the time consumption using machine learning and deep learning techniques.
Effects of A/r/tography Community-Based Reader’s Theater on English Learning Attitude in the Elementary School

0 20 40 Get a reaction, even if it is negative Get other people to act differently Make others angry Let others know how desperate you were Feel more part of a group Be like someone you respect Give self something to do when alone Get attention Get control of a situation Get help Get parents to understand/notice you Get more attention from parents/ friends Avoid school/college Avoid paying consequences Avoid people Avoid having to do something unpleasant Punish self Feel something, even if it is pain Feel relaxed Relieve feeling 'numb' or empty Stop bad feelings
IMPROVE LISTENING ABILITY THROUGH DICTATION METHODOLOGY IN DESCRIPTIVE TEXT AT SMK HKBP PEMATANGSIANTAR

&#x0D; This research aims to improve listening ability students of English subjects using the dictation method and find the effectiveness of the dictation method in an effort to improve ability listening to students on descriptive text of class X IA 1 students of SMK HKBP PEMATANGSIANTAR. This research is a classroom action research conducted in the first semester of the year 2021/2022 teaching. The subjects of this research were students of class X IA 1 SMK HKBP PEMATANGSIANTAR. The object of this research is the improvement of listening ability English lessons on descriptive text with the dictation method. Classroom action research it covers 2 cycles. Each cycle consists of four stages, namely: (1) planning, (2) action, (3) observation, and (4) reflection. The findings from classroom action research are (1) Students' listening ability increase with the use of the dictation method, (2) The average score of students in the pre-cycle action is 56.84% including the "less" category, the average student score in cycle 1 is 70.47% including the "enough" category, the average student score in cycle 2 is 78.43% including the "good" category. (3) Attainment of listening competence skill is measured by the dictation method which shows an increase in the results of research from pre-cycle to cycle II.&#x0D;
Prediction of Social Trends using Twitter

In this study project, we deal with the application of sentimental analysis on a dataset consisting of tweets. We implement a number of machine learning and deep learning frameworks to perform the analysis. In the end, we use a majority based method to show 4 of our best models for the dataset to achieve the best result.
Comparative Analysis of a Vision Based HGR System Used for Handicapped People

The object tracking is critical to visual / video surveillance, analysis of the activity and gesture recognition. The major difficulties to be occurred in the visual tracking are different environmental conditions, illumination changes, occlusion and appearance. In this paper, the comparative analysis of the different systems which are used to recognize the head gestures under different environmental conditions is discussed. The existing algorithm used to recognize the head gestures has some limitations. The existing algorithm cannot work under outdoor environmental conditions. The traditional camshift algorithm and unscented kalman filter are integrated and used to recognize the head gestures under outdoor environmental conditions. The unscented kalman filter is a tracking algorithm used to remove the limitations of the traditional camshift algorithm. The simulation result shows the better performance of the improved algorithm than the traditional camshift algorithm.
Corpus-Based Research and KSL

Advances in computer technology have revolutionized the ways in which linguists can approach their data. By accessing large bodies of digital text (corpora) and searching for linguistic patterns and frequency information related to phenomena of interest, we can uncover complexities in naturally occurring data and explore broader issues. Although corpus-based research in Korean linguistics has surged over the past several decades, there has not been much corpus-based work in Korean as a second language (KSL). However, in line with growing academic interests in combining technology in language learning and teaching, the necessity of learner corpora and annotation has been recognized as a primary subject in second language acquisition (SLA) research. Learner corpora include electronic collections of written or spoken data produced by language learners. Granger emphasizes the interdependency of SLA and learner corpora; SLA provides cognitive and psychological platforms for analyzing learner language, and learner corpora broaden SLA by providing enriched methods for learner data analysis and developing pedagogical tools. This paper introduces diverse Korean learner corpora resources and explores empirical applications of learner corpora in KLS. The design of learner corpora and annotation methodology will be explained in conjunction with demonstrating the usability of annotated learner corpora. The paper provides comprehensive knowledge on compiling a learner corpus and adding linguistic markups. It emphasizes practical insights into utilizing learner data; extracting meaningful information from patterns, errors, and interlanguage; and understanding pedagogical implications to embark on learner corpus research in Korean.
Correction to: Advances in Artificial Systems for Medicine and Education V

The original version of the book was published with incorrect volume number. This has been corrected in the updated version.
Retraction: Movie Recommender System Using Machine Learning Algorithms (J. Phys.: Conf. Ser. 1916 012052)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
The Relation Between Organizational Learning and Information Technology in Companies with International Activities During the Covid-19 Pandemic

The paper discusses the phenomena of the present such as information technology and organizational learning as elements of business performance.In order to better understand the study, a theoretical paradigm of the relationship between information technology performance and elements of organizational learning was created.The mentioned theoretical paradigm was conditioned by the focus on the new theoretical thesis of the pandemic that is currently ruling in the world.To test the research variables, a quantitative method of de-effective approach was used.Through this quantitative method, statistical analysis of data derived from the research questionnaire was used. According to the T-test, correlation and regression analyses the article was improve statistically significant relationships between information technology items and certain organizational learning as a business performance, in Southeast European Country companies dealing with international activities during the period of Covid 19, also is improved statistically significant difference between the influences of high values (values above average) and low values (values below average) dimensions of information technology on individual organizational learning during the Covid -19 pandemic and finally statistically significant correlations between information technology items and observed performances (of organizational learning).
Penerapan Customer Relationship Management (CRM) Berbasis Website Terhadap Penilaian Pelanggan

reduce customer turnover or departure to other competitors. CRM system at PT. Wingoh Albinda still uses semi-computerization, namely Microsoft excel in managing its data, causing several problems in terms of late service, the response to customers is not optimal. This study presents an analysis of web-based CRM development on a marketing information system at PT. Wingoh Albinda. The result is a web-based CRM system that can manage customer data, product promotions, product sales data and customer service management which is used to store customer inquiries, complaints and ratings to create good relationships with customers. This system is expected to maintain good relations with customers.
Metacognitive Skills in Phishing Email Detection: A Study of Calibration and Resolution

Metacognition plays important roles in human judgments. In this study, we study two types of metacognitive skills, namely calibration and resolution, in individuals’ judgments of phishing emails. Drawing upon the Probabilistic Mental Model (PMM) and past research on phishing detection, we examine individual- and task-related factors and their impacts on both skills. Results from an online survey experiment show that task-related factors (i.e., email familiarity, judgment time, variability of judgment time, and task easiness) influence calibration while both task- and individual-related factors (i.e., online transaction experience, victimization experience, email entity familiarity, and variability of judgment time) influence resolution. Interventions to improve individuals’ metacognition in phishing email detection are discussed.