Reviewerly/exHarmony huggingface dataset:
PENGARUH SUPERVISI BIMBINGAN KONSELING TERHADAP EFEKTIVITAS PELAKSANAAN PROGRAM BK DI SEKOLAH (STUDI KASUS DI 30 SMP PROVINSI BENGKULU TAHUN 2020)

This study aims to determine whether there is an effect of BK supervision on the effectiveness of the implementation of the BK program in schools. The method used is quantitative with quantitative descriptive research type, with a sample of 30 schools at the junior high school level in Bengkulu Provision. Data collection was carried out by distributing the BK program supervision questionnaire. The data from this study were obtained with the help of SPSS Statistics Version 17.0. Then the analysis used in this research is Simple Linear Regression Analysis. The results of the study found that BK supervision carried out at the junior high school education level in Bengkulu province was in the poor category with a percentage of 40% and the BK program carried out at the junior high school education level in Bengkulu province was in the Good category with a percentage of 43, 3%. Then the significance value obtained from the simple linear regression test is 0.101 ≥ 0 05,. Then the hypothesis H0 is accepted and Ha is rejected, which means that there is no positive influence of BK supervision on the effectiveness of the implementation of the BK program in schools.
Vibration Measurement of a Metal Sheet Using Single-Camera Digital Image Correlation with Projection Components

Digital image correlation has emerged as a popular method for the dynamic performance measurement of metallic and polymer sheets, owing to the benefits of being a noncontact, full-field, and high-precision method. Two or more high-speed cameras are required for full-field vibration measurements with three-dimensional digital image correlation, which is generally costly. Perpendicular view to the specimen surface is conventional in two-dimensional digital image correlation, and the out-of-plane displacement is regarded as a part of systematic errors. In this study, a single view method was implemented with no complex optical settings. The full-field vibration displacement of the metal sheet was measured with projection components, and the first four orders of displacement modes were identified. Finite element analysis and traditional experimental modal analysis were then implemented to validate the effectiveness and accuracy of the proposed approach. The results show that the dynamic parameters, including the natural frequencies and mode shapes, were well consistent. Meanwhile, there is a significant difference in the length of mode shape vectors. The number of measurement points in the proposed method is 2016, which is far more than the number of measurement points in the traditional experimental modal analysis. This would be convenient and beneficial for damage identification towards thin-wall parts including turbine blade with the continuum hypothesis of mode shapes and a single-camera DIC system. It is worth noting that this is effective with conditions of small deformation vibration and no rigid-body rotation.
The Use of Word Walls Technique to Improve Students’ Writing Ability in Descriptive Text

This research is about the use of word walls technique to improve students’ writing ability in descriptive text. There are some problems that faced by the students at the seventh grade students of SMPN 17 Kota Bengkulu in writing descriptive text the first is they do not have idea to write descriptive text. Second, they still confused in organizing the writing. Third, they often do some mistakes with the lack of knowledge in vocabularies. The objective of this research was to improve students’ writing ability in descriptive text using word walls technique. This research used classroom action research method that consisted of four steps, there are pre-assessment, cycle I, cycle II, and cycle III. The subject of this research was students of Class VII D in SMPN 17 Kota Bengkulu. They were 24 students that consisted of 15 male and 9 female. The instruments of this research were interview, teacher and students’ observation checklist, writing test, and documentation. Based on the finding of this research, it showed that word walls technique could improve students’ writing ability in descriptive text. Students were active in the classroom and good interaction between teacher and students. The evaluation test administrated at the end of each cycle. The result of mean score on evaluation were pre-assessment (47,65), cycle I (59,36), cycle II (67,96), and cycle III (73,95). It could be concluded that there were improvement in every cycle, a significant different between the mean score of pre-assessment and cycle III namely 47,65 and 73,95. It showed that word walls technique could improve student’s writing ability in descriptive text.
On the 'holistic' nature of formulaic language

© 2015 2015 by De Gruyter Mouton. Many applied and corpus linguists entertain the idea of collocations, and other types of formulaic language, being processed as unanalysed, or holistic units. It has, indeed, been demonstrated that, due to their frequency and predictability, formulaic sequences are processed quantitatively faster than matched novel phrases. This finding implies an important role of phrasal frequency in language processing and highlights the contribution of entrenchment of a particular phrasal configuration in memory. This finding, however, cannot be taken to suggest that formulaic sequences are necessarily processed as unanalysed, or holistic units. The present paper reviews some of the recent studies and explains why a processing advantage observed for formulaic sequences over novel phrases should not be equated with holistic storage and processing. The present paper is not intended as an overview of the studies on on-line processing of formulaic language. For a comprehensive review of the method and findings specific to formulaic sequences, their on-line representation and processing, we direct an interested reader to Siyanova-Chanturia (2013) and Siyanova-Chanturia and Martinez (2014).
Active learning with 3Dmol.js

dipole in aromaBc plane Cu (II) TfOH O 2 < 1 hr
Development of experimental competence for students via the use of practical experiments in the content of Nonmetallic Chemistry in High schools

Developing experimental capacity for students is an important task in teaching Chemistry in high schools. Development of competence can be accomplished by different means. One of the effective measures is the use of practical experiments. In this article, the author introduces the definition of practical chemistry experiments, the process of building chemical experiments associated with reality, investigating the actual situation of developing experimental competence for students through experiments associated with practice in some high schools, the structure of experimental capacity. Thus, building and using a system of practical experiments in the types of lessons taught in High schools in the part of Nonmetallic Chemistry to develop experimental capacity for students. Conduct pedagogical experiments and evaluate the effectiveness of using practical experiments to develop students' capacity.
Gene Selection in Disease: Review

In utilizing AI algorithms to investigate expression patterns, genetic factors are a significant problem for objective aggregates. Numerous genetic characteristics exist, but just a few have substantial relationships with a specific aggregate. For example, a two-way malignant growth/non-disease investigation involves the identification of fifty of these genetic variables. Three distinct techniques are as follows. A system based on affiliation rules and half-fluffy dynamic trees has been developed for disease detection using data mining technologies. The primary approach proposes an effective half-and-half strategy for reducing the number of exceptions. Anomaly detection is an interesting topic of research in data mining. Due to the usage of bunching strategies, anomalies that do not fit into any of the groups are discovered. Nonetheless, a few ambiguous features may be included in the group. To completely purge the dataset of superfluous data, it is required to identify and purge data that has converged with the groups. This approach depends on two distinct types of data mining algorithms to discover anomalies in a dataset: multilayer neural networks (MLN) and thickness-based K-implies. Affiliation rules are established, and the effect % of everything derived from the standard upon which the fluffy guidelines are based is calculated in the manner illustrated below.
Analisis Penilaian Afektif Pembelajaran Daring Menggunakan Learning Management System (LMS) pada Mata Pelajaran Matematika

The purpose of this study was to describe affective assessment in mathematics subjects using LMS media as a media to support learning activities between students and teachers in online learning. The subjects of this study were 214 students who were divided into five classes in class XI IPA SMA Negeri 1 Purbalingga. This research was conducted in July – September 2021. The data in this study were obtained from the results of filling out questionnaires related to affective assessment in online learning. The scale used to measure the affective aspect of the activities of an object is the Likert scale. The data analysis technique used descriptive statistical methods. The results showed that the implementation of the affective domain assessment in online learning through the Learning Management System (LMS) in the mathematics subjects of class XI science students at SMA Negeri 1 Purbalingga was running well. Teachers and students can already use the application as expected so that students can follow the learning well. With the LMS, it is easier for students to understand the material, get assignments and assessments and can interact and discuss with the teacher smoothly. In addition, students also remain highly motivated even though learning cannot be done face-to-face.
A Knowledge Representation Method for Question Answering Service in Mobile Edge Computing Environment

Driven by the rapid development of mobile computing and the Internet of Things, the number of devices connected to Internet has increased dramatically in recent years. Such development has generated massive amounts of data and highlighted the importance and urgency of using the accumulated big data to improve frequently used services. Deploying the question answering service in the mobile edge computing environment is considered a good way to make efficient use of the data and improve user experiences. Powered by the breakthroughs of deep learning technologies, question answering system based on knowledge graph (KBQA) has flourished in recent years. Knowledge representation, as a key technology of KBQA, can express the knowledge graph as the vectors containing more semantic information and thereby improve the accuracy of the question answering system. This paper proposes a knowledge representation method that integrates more features than the traditional methods. In our method, knowledge is represented as a combination of a structured vector reflecting the target triple and the domain information around the entity. By representing richer semantic vectors, our method outweighs TransE, ConvE, and KBAT, in terms of link prediction.
The application of Audio Articulation Method to rehabilitate/u/উ// Sound in tertiary level students of Bangladesh

The target of this paper incorporates rehabilitation of /u/ sound in Bangladeshi adult speakers of English in classroom practice. The phoneme /u/ is a short vowel and /u:/, a long vowel in English phonemic inventory. But long and short vowel distinction is not a phonemic feature in Bangla. That is why, many Bengali speakers of English pronounce /u/উ/ in both the cases as there is /উ /u/ sound in Bengali language. This creates problem for the listeners specifically the native speakers to understand the speech of the Bengali adult speakers of English and the comprehensibility level of their pronunciation is very low. The researcher, from his practical experience, finds that Phonological establishment of /উ /u/ sound in the tertiary level students of Bangladesh is one of the main reasons of this problem. This paper is a pedagogically designed lesson plan to rehabilitate the fossilized /u/উ / sound in Bengali speakers by applying Audio Articulation Method in the class hour. By operating various kinds of drills such as, interaction drill, substitution drills, minimal pairs, tongue twister etc in the class hour, the teachers can conduct the class to rehabilitate the fossilized sounds in the learners and both the trainers and trainees in Bangladesh can get the chance to defossilize the fossilized sound by these drillings.
A NONLINEAR REGRESSION MODEL TO ESTIMATE THE SIZE OF WEB APPS CREATED USING THE CAKEPHP FRAMEWORK

Context. The problem of estimating the software size in the early stage of a software project is important because a software size estimate is used for predicting the software development effort, including Web apps created using the CakePHP framework. The object of the study is the process of estimating the size of Web apps created using the CakePHP framework. The subject of the study is the nonlinear regression models to estimate the size of Web apps created using the CakePHP framework.&#x0D; Objective. The goal of the work is the building the nonlinear regression model with three predictors for estimating the size of Web apps created using the CakePHP framework on the basis of the Box-Cox four-variate normalizing transformation to increase the confidence in early size estimation of these apps.&#x0D; Method. The model, confidence and prediction intervals of multiply nonlinear regression to estimate the size of Web apps created using the CakePHP framework are constructed based on the Box-Cox multivariate normalizing transformation for non-Gaussian data with the help of appropriate techniques. The techniques to build the models, confidence, and prediction intervals of nonlinear regressions are based on the multiple nonlinear regression analysis using the multivariate normalizing transformations. The techniques allow taking into account the correlation between dependent and independent variables in the case of normalization of multivariate non-Gaussian data. In general, this leads to a reduction of the mean magnitude of relative error, the widths of the confidence, and prediction intervals in comparison with nonlinear models constructed using univariate normalizing transformations.&#x0D; Results. Comparison of the constructed model with the nonlinear regression models based on the decimal logarithm and the BoxCox univariate transformation has been performed.&#x0D; Conclusions. The nonlinear regression model with three predictors to estimate the size of Web apps created using the CakePHP framework is constructed on the basis of the Box-Cox four-variate transformation. This model, in comparison with other nonlinear regression models, has a larger multiple coefficient of determination, a smaller value of the mean magnitude of relative error and smaller widths of the confidence and prediction intervals. The prospects for further research may include the application of other multivariate normalizing transformations and data sets to construct the nonlinear regression model to estimate the size of Web apps created using the other frameworks.
Cross-linguistic influence of propositional and lexical semantics errors in Indonesian learner texts

Advanced language acquisition applies rigorous understanding of the target language (TL) which oftentimes achieved by comparing mother tongue features to the TL. This is where cross-linguistic influence (CLI) occurs as learners transfer knowledge among languages. The study aims at investigating CLI in propositional and lexical semantics through questionnaire, weekly discussion, and assignment entries of 34 learner texts of Indonesian for Business Communication course at a private university in West Jakarta. Referring to Odlin’s (1989) CLI framework of semantics domain, the results show that CLI presents in 1) propositional semantics by 37.6% (i.e., semantic case by 4,3% and semantic universality and relativism by 33,3%) and 2) lexical semantics by 62,3% (i.e., cognate vocabulary by 8,6%; lexical universals and acquisition by 43% and lexicon and morphology by 10,7%). English (as the medium of instruction) influences the Indonesian production in word-choice, demonstrative determiner ini and itu; prefix-suffix conjugation (i.e., particle -lah, active-passive voice); and relative conjunction yang. The findings suggest the patterns of error produced by learners whose mother tongue is Dutch and who use English as their second language. Moreover, in Indonesian for Business Communication course, lecturers can refer to the findings of this research as a guide to support learners with their Indonesian language production. The findings also demonstrate that learners who are familiar with informal-daily Indonesian take more time in developing adequate formal Indonesian, compared to those who do not use the language as their daily communication.
Directions for Students' Independent Learning Skills Developing in the Context of Digitalization of the Economy

This article discusses the current work of students in the development of organizational skills in the process of independent learning, what to look for to develop students' organizational skills in the process of independent learning, the advantages and disadvantages of organizing independent activities of students. the tasks to be covered by independent work were discussed.
Implementation of Voice Note on WhatsApp for Teaching Speaking English

This study aims to find out how teachers apply voice notes to teach speaking skills at SMA Candimas Pancasari through recount text topics. This research uses the descriptive qualitative method. In this study, the data obtained through observation, interview, and questionnaire methods were analyzed descriptively. The researcher used purposive sampling to select the research subject, of which there was 1 English teacher and 77 students who had been researched by researchers to be observed, interviewed, and given a questionnaire. The results showed that the implementation of voice notes can be done through six steps in pre-activity, main-activity, and post-activity. Related to its’ implementation, the teacher also encountered several challenges, namely internet connection, low participation, students' lack of vocabulary, poor access in remote areas, and teacher difficulties in evaluating students' assignments. In addition, students gave positive opinions on the implementation of voice notes on WhatsApp in class, it can be proven where students dominantly choose "agree" and "strongly agree" on statements obtained from cognitive, affective, and psychomotor aspects.
ACCOUNTING INFORMATION SYSTEM FOR SPARE PARTS CASH SALES USING THE CASH BASIS METHOD AT THE VIE JAYA MOTOR WORKSHOP CIREBON

Bengkel Vie Jaya Motor is a business unit engaged in the sale of motorcycle spare parts and provides motorcycle service. The Vie Jaya Motor workshop in handling sales still uses a manual system, namely recording every transaction that occurs in the workshop still using a daily sales report book without detailed information, so that making reports takes a long time. With the problems that exist in the Vie Jaya Motor workshop, the purpose of this research is to create an accounting information system for motorcycle spare parts cash sales which can later provide an overview of the workshop in the data processing process. For the method of collecting data through interviews and conducting library research by searching for information through other sources such as books and the internet related to the problem to be discussed with the aim of making it easier to solve the problem. The analysis and system design stages are described using flowcharts, flowmaps, context diagrams, DFD, and ERD. After this, the next stage is the design of the software system. The design of the software system uses PHP (Hypertext Pre Processor) as a programming language and MySQL as database management. The result of the cash sales accounting information system that has been made by the researcher is to make records and calculations in carrying out cash sales transactions for motorcycle spare parts with the cash basis method. This method was chosen because revenue recognition is recorded when a transaction has occurred where the money is actually received or issued. The accounting information system created can also streamline the time of business activities in making sales journals and reports.
Motivation to learn in Madrasah ARRIDHA students

Learning outcomes are often linked to the quality of education. If students get learning results with good grades. Then the teaching and learning process that lasts for that long is considered to have reached the minimum completeness criteria. Learning outcome is an evaluation of learning. The purpose of the evaluation is to find out information about the students' mastery of the material.&#x0D; How big is the student's motivation to learn at home during a pandemic? The author uses a survey method in this study. The magnitude of the influence of student learning motivation on student learning outcomes MI ARRIDHA Jakarta, is proven by statistical calculations which show the correlation coefficient (r) = 0.821. Efforts and efforts are needed in order to improve learning outcomes by making improvements to the student learning motivation variables that are carried out at the school concerned.
Customized AES Using Pad and Chaff Technique Diffie Hellman Key Exchange

Abstract: In today’s world, transferring or exchanging the information on a secure connection has become the most crucial part. Hence in order to have a safe/reliable connection it needs keys exchangement and also they should be transferred on a secure connection. Hence the data that is secured, when passed through the internet should be protected. Hence the data protection can be measured in two ways 1.Confidentiality - ensuring no one except the authorized users or admins can access the data. 2. Integrity - ensuring no one can alter while transferring. Hence Confidentiality, Integrity is achieved using Symmetric Encryption, Message Authentication Code(MAC). Hence in order to achieve these, identical and secret keys are required. For these reasons this algorithm is developed.
DEIXIS AND REFERENCE ANALYSIS IN JAKARTA POST: A CONTENT ANALYSIS RESEARCH

Deixis and reference are parts of pragmatics. These issues are needed to be known by the readers. Deixis and reference were existing in written or spoken language and those materials are learnt by students in university level especially in English education department. These things are essential to be known by the readers or audience. Thus, the aims of the study were to analyse the deixis and reference types in Jakarta Post. The research methodology was a qualitative research with content analysis. The instruments were checklist and document. Those were validated by triangulation. There were 90 articles of Jakarta Post to be analysed by using a thematic analysis. The steps were familiarization, coding, generating themes, defining and naming themes and writing up stage. The results showed that all types of dexis were found in Jakarta Post namely person, Spatial, time, discourse and social. In detail, 300 words of person deixis, 140 Spatial deixis, 90 time deixis, 30 social and 15 discouse deixis. The dominant type was person deixis. Another result was reference. The anaphoric and cataphoric reference were found in Jakarta Post, where the dominant one is anaphoric reference. In short, most of authors in Jakarta Post used person deixis and anaphoric reference to give clear information about the written text.