Reviewerly/exHarmony huggingface dataset:
Penerapan Metode K-Means Pada Pengelompokkan Pengangguran Di Indonesia

Unemployment is a group of labor force who has not done an activity that generates money. Someone who is said to be unemployed can also be categorized as people who have not worked, people who are looking for work, or people who have worked but have not gotten productive results. The purpose of this study is to analyze the unemployment stay by province in Indonesia. This research data is sourced from the Central Statistics Agency in 2014 - 2019. This study uses data mining techniques, namely the K-means algorithm, the K-means method is a clustering method that functions to break the dataset into groups. The K-means method can be used for percentage unemployment data by province. Data will be divided or grouped into 2 Clusters, where Cluster 1 is the group of provinces with the highest potential for unemployment with the results of 13 provinces and Cluster 2 is the province with the lowest potential unemployment results which is 21 provinces. The results of this study are as a way to assist the government in expanding employment to develop and improve the economy in each province in Indonesia. It is hoped that this research can provide input to the government. In particular, the provinces with minimal employment opportunities in Indonesia have an impact on unemployment
Imagologia a konstruktywizm

The author considers the problem of creating images, namely its psychological and ontological aspects. Based on the assumption that mental representation is not a mimetic reproduction of objective reality, but a reference to mutually imputed collective knowledge, the author discusses various factors of this situation. The concept proposed by the author is based on presumption that the measure of the compatibility of the image and its designate is the content dispersion occurring in society, i.e. the number of different points of view. In the constructivist model, imaging is based on communication as a modus of the social system, in this case there is a diversification of viewpoints, and the compatibility of the image with its designate is close to 0.
On the Evolvability of Monotone Conjunctions with an Evolutionary Mutation Mechanism

A Bernoulli(p)n distribution Bn,p over {0, 1}n is a product distribution where each variable is satisfied with the same constant probability p. Diochnos (2016) showed that Valiant's swapping algorithm for monotone conjunctions converges efficiently under Bn,p distributions over {0, 1}n for any 0 &lt; p &lt; 1. We continue the study of monotone conjunctions in Valiant's framework of evolvability. In particular, we prove that given a Bn,p distribution characterized by some p ∈ (0, 1/3] ∪ {1/2}, then an evolutionary mechanism that relies on the basic mutation mechanism of a (1+1) evolutionary algorithm converges efficiently, with high probability, to an ε-optimal hypothesis. Furthermore, for 0 &lt; α ≤ 3/13, a slight modification of the algorithm, with a uniform setup this time, evolves with high probability an ε-optimal hypothesis, for every Bn,p distribution such that p ∈ [α, 1/3 - 4α/9] ∪ {1/3} ∪ {1/2}.
Distance learning — a few remarks on the margins of the problem

The problem of the quality of distance learning — or e-learning — has not had much importance attached to it thus far. After all, distance learning is at least 200 years old — if not more — and e-learning is nothing new, either. However, they were a kind of “addition” to the educational process. However, as a result of the current world-wide pandemic, the situation has changed rapidly. From what was in essence an auxiliary form of learning, has suddenly become a basic form. Thus, what has affected both higher education and, above all, secondary, primary and pre-school education is something new. This is due to the suddenness of introducing both methods (techniques) of education, and not because of their technical side. Since this problem has become the subject of a large number of different kinds of statements, and even the first book devoted to this issue has been published — it is worth looking at these issues again and try to present a few more general comments. The main thesis of the article is: the technical help side is basically correct; the problems are: i) preparing teachers for this form of teaching, ii) preparation of full-text databases adapted to secondary school curricula, iii) adaptation (in secondary schools) of e-education programs, e.g. to university syllabuses (with links to specific texts, not entire databases), iv) “Rebuilding” the way of educating teachers so that they learn these technical skills from the university or improve them via additional courses and training.
High Speed Single-Stage Face Detector using Depthwise Convolution and Receptive Fields

At present face detectors use a large Convolutional Neural Network (CNN) to achieve high detection performance, which is a widely used sub-area of artificial intelligence. These face detectors have a large number of parameters which reduces their detection speed dreadfully on a system with low computa-tional resources. This is a challenging problem to achieve good performance and high detection speed with finite computational power. In this paper, we propose a single-stage end-to-end trained face detector to address this challenging problem. The computational cost is reduced by using depthwise convolution and swiftly reducing the size of an input image. The early layers of the model use CReLU (Concatenated Rectified Linear Unit) activations to preserve the information and generate better representative features of the input. Respective Field (RF) blocks used in the model improve the detection performance. The proposed model is of 1.7 Megabytes size, able to achieve 42 FPS (Frame Per Second) on CPU (i5-8330H) and 179 FPS on GPU (GTX1060). The model is evaluated on various benchmark datasets like WIDER FACE, PASCAL faces and AFW and archive good performance compared to other state of art methods.
Improve the Effectiveness of Image Retrieval by Combining the Optimal Distance and Linear Discriminant Analysis

In image retrieval with relevant feedback, classification and distance calculation have a great influence on image retrieval accuracy.In this paper, we propose an image retrieval method, called ODLDA (Image Retrieval using the optimal distance and linear discriminant analysis).The proposed method can effectively exploit user's feedback from relevant and irrelevant image sets, which uses linear discriminant analysis to find a linear projection with an improved similarity measure.The experimental results performed on the two benchmark datasets have confirmed the superiority of the proposed method.
Boosting English Competency and Learning Motivation Through the Integrated Approach For Non-English Departments Students

At the tertiary level, English as a General Subject supports the learning process's main course. The observations show they are not yet proficient enough to use it. It causes indisposed motivation, dearth vocabulary, low learning interest, short time allocation, and others. Therefore, the researchers provide a solution by applying the Integrated Approach. The research objectives are to determine whether the Integrated Approach can improve English competency and learning motivation, how the learners’ improvement process, and what factors influence these improvements. It is action research, which was Accounting majoring students as subjects - Islamic University of Indragiri. The data collection process used tests and questionnaires. Furthermore, the results showed an increase in their competence and motivation to learn English before and after the Integrated Approach. The improvement process covers several activities; socializing, analyzing, monitoring, guiding, and practicing. Meanwhile, the development affecting factors are internal and external factors such as learning motivation, teaching methods, and the instructors’ roles. In conclusion, the Integrated Approach application positively contributes to the learners’ learning outcomes and motivation.
Pictures and Learning Motivation Towards the Eighth Grade Students’ Writing Achievement on Descriptive Paragraph

This research was concerned with an inquiry on the effect of the influence of using pictures and learning motivation towards the eight grades Students writing achievements on the descriptive paragraph of SMP Negeri 6 Pagaralam. The problem of this research was to find out whether or not there was an effect of the application pictures towards student's writing achievement on paragraph descriptive. Pictures strategy is a strategy that provides an opportunity for teachers to model exemplary pre-writing behavior and encourages students to set their purposes for writing. This enables students to become more motivated and active in writing a descriptive paragraph. Data collection employed pre-test and posttest for the experimental group. Data analysis was undertaken by using t-test and ANOVA. Findings showed that there was a significant effect of the application of pictures on student's writing achievement on a descriptive paragraph of the eighth grade of SMP Negeri 6 Pagaralam. The conclusion suggests that Ha was accepted while Ho was rejected. It means that using pictures was effective to improve student's writing achievement in a descriptive paragraph.
Using Communicative Approach in Teaching Speaking Competence of Young Learners through Home-based Learning

This study aims to probe into the use of communicative approach in teaching speaking competence of young learners through a Home-based Learning approach. To master a language, the learner should sharpen their speaking skills/competences. In Indonesia, English is taught as a foreign/second language to young learners. Developing speaking competence will teach young learners English beyond grammar and word function, so that they could freely express their opinions. Being able to express themselves, young learners will have good self-esteem which would, in turn, help them in learning new things and other languages. However, the COVID-19 pandemic urged teachers to alter their method of teaching speaking to young learners as they learn from home and meet their teachers online through a virtual meeting platform. This study found that the materials designed by the teacher do impact in stimulating young language learners to improve their communication skills in English.&#x0D; Keywords: communicative approach, speaking skill, teaching young learners
Full-Reference Facial Image Quality Assessment and Identification by Two Proposed Measures

In this paper, the goal was to identify a person’s face in the acquired image by the proposed measures. We discuss the appearance of two types of noise together in an image. The acquired facial image quality was also assessed by two proposed measures, the histogram similarity measure and the histogram error mean measure. The histogram structural similarity measure is a previously described modified version of the information-theoretic structural similarity measure. It was merged with the structural similarity measure and the error mean measure, derived from the mean squared error, to get the proposed measures. The first proposed histogram similarity measure consists of merging histogram structural similarity with structural similarity measure, and the second proposed histogram error mean measure consists of merging histogram structural similarity with error mean measure. Finally, many algorithms for identification have recently been proposed to measure the similarity between two images. The results showed that the two proposed measures were better than existing methods. Different noises types (such as white Gaussian, speckle, and salt-and-pepper) are used with the proposed methods. Two facial image datasets were used in this paper. The AT&amp;T database included color images of 92 x 112 pixels (px), and the Faculty of Industrial Engineering database included color images of 480 x 640 px. To evaluate performance and quantify the error, the structural similarity measure, histogram structural similarity, and error mean measure were considered. Noise ratios that depended on a peak signal-to-noise ratio were used in this experiment.
Mining Temporal Exception Rules from Multivariate Time Series Using a new Support Measure

Association rules are a common task to discover useful and comprehensive relationships among frequent and infrequent data. Frequent patterns describe a usual behavior, while infrequent ones represent uncommon knowledge. Our interest lies in finding exception rules, a class of infrequent patterns that may have critical effects as a consequence. Existing approaches for exception rules mining usually handle “itemsets databases”, where transactions are organized with no temporal information. However, temporality may be inherent to some real contexts and should be considered to improve the semantic quality of results. Moreover, these approaches implement a non-discriminatory support measure to estimate the relevance of an item, thus interpreting a large volume of data that may be merely occasional as patterns. Aiming to overcome these drawbacks, we propose TRiER (TempoRal Exception Ruler), an efficient method for mining temporal exception rules that not only discover exceptional behaviors and their causative agents, but also identifies how long consequences take to appear. We also present a new support measure to manipulate time series. This measure considers the context in which a pattern occurs, thus incorporating more semantics to the results obtained. We performed an extensive experimental analysis in real multivariate time series to verify the practical applicability of TRiER. Our results show TRiER has lower computational cost and is more scalable than existing approaches while finding a succinct and relevant set of patterns.
Developing Picture Describe For Elementary School Students' Speaking Skills

The main purpose of this study is to help the English teachers easily to teach speaking in teaching English by describing picture. The activities are consists of reading, listening and talking. The researcher employed Research and Development method (RD) and adapted Borg and Galls’ model which consisted of five stages, namely 1) research and information collection, 2) planning, 3) develop preliminary form of product, 4) preliminary field of testing, and 5) main product revision. The researcher used three instruments to obtain the data such as interview, questionnaires and observation checklist. The obtained data will be classified based on the instrument used. The researcher shows the result by explaining them in quantitative and qualitative approach. The students needed supporting book in learning English that has attractive and colourful picture for students. The product is a describing picture book for elementary school entitled PICRIBE. The result of expert validation of the book is percentage of 4,0% and 4,5% is the result of expert validation ofthe materials. It means the bookis feasible as supporting media in learning speaking
Law And Linguistics In The Aspect Of Worldview Internet Security

The article deals with the description of interrelationship between law and linguistics when language use becomes disputed subject matter in such internet communication crimes as solicitation, threatening, aggressive behavior, terrorist propaganda, distribution of extremist materials, etc. Wrongful acts committed in the Internet by speech or writing that infringe on information (worldview) security are the focus of this paper.The author surveys a number of crimes aimed at eroding traditional Russian spiritual and moral values by promoting permissiveness and violence, racial, national and religious intolerance that are perpetrated primary by means of language.Most of our data comes from Russian jurisdictions, court and forensic expert practice.It is demonstrated that internet online communication involves using language to perform certain types of illegal speech acts in specific circumstances.The essential property that determines any speech act that pose a threat to worldview security is the actor's intent to compel internet users to accept the imposed views and ideals through propaganda techniques, hidden persuasion, speech manipulation and language violence.The author makes a conclusion that the concept of free speech or freedom of expression is not only a law topic but a linguistic one as well.The boundaries lie between illegal speech act and a protected one depends on forensic linguistic assessment integrating both law and linguistic knowledge.The specially developed forensic metalanguage is essentially needed to formulate in its terms the criteria of a wrongful internet speech discourse.
Development and Usability Assessment of Classroom Surveillance System for Campus Security and Productivity

Classroom Surveillance System is an excellent system for higher learning institutions to ensure the security of students, faculty, office personnel, and its physical facilities. This study aimed to develop a classroom surveillance system for campus security and productivity. The study utilized developmental research. There were four Deans, 24 IT professionals, and 24 students utilized as respondents of the study. The instrument used in the study included the Deans’ monitoring scheme of teaching/non-teaching personnel, school facilities, and student’s assessment on the surveillance functionality, reliability, usability, efficiency, maintainability, and accuracy of the newly developed and designed classroom surveillance system. The statistical tools used were the frequency count, ranking, and weighted mean. The study revealed that the developed Classroom Surveillance System was very much functional, very much reliable, very much usable, very much efficient, very much maintainable, and very much accurate. The university administration should adopt the Classroom Surveillance System to provide excellent surveillance and monitoring of teaching personnel, non-teaching personnel, classroom facilities, and students of the University. Hence, the university should shift from utilizing the traditional surveillance system into a technologically oriented surveillance system.&#x0D;
Development of Students’ Management Skills in Pedagogical Activities of the Preschool Education Direction in Higher Educational Institutions

This article is devoted to the identification, theoretical substantiation and experimental verification of a set of pedagogical conditions, future teacher’s managerial competence formation methods and stages in higher educational institutions.
Extraction of mosaic regions through projection and filtering of features from image big data

When uploading multimedia data such as photos or videos on social network services, websites, and so on, certain parts of the human body or personal information are often exposed. Therefore, it is frequent that the face of a person is blurred out to protect the portrait right of a particular person, and that repulsive objects are covered with mosaic blocks to prevent others from feeling disgusted. In this paper, an algorithm that detects mosaic regions blurring out certain blocks based on the edge projection is proposed. The proposed algorithm initially detects the edge and uses the horizontal and vertical line edge projections to detect the mosaic candidate blocks. Subsequently, geometrical features such as size, aspect ratio and compactness are used to filter the candidate mosaic blocks, and the actual mosaic blocks are finally detected. The experiment results showed that the proposed algorithm detected mosaic blocks more accurately than other methods.
High and low uniqueness in singular wh-interrogatives

While simple singular wh-interrogatives carry a uniqueness presupposition, this is not so when they contain possibility modals. Hirsch &amp; Schwarz (2019) account for this contrast by assuming (i) that questions can have multiple maximally informative true answers and (ii) that uniqueness is triggered lexically inside the scope of interrogative. We show that their proposal overgenerates on two accounts. Firstly, it predicts too weak a presupposition for modalized interrogatives. Secondly, it predicts unattested interpretations for interrogatives containing negation. We show that both issues can be solved using exhaustification operators. On the one hand, we obtain the desired presupposition for modalized interrogatives by assuming the lexical trigger for uniqueness to be a presuppositional variant of an exhaustification operator (Bassi, Del Pinal &amp; Sauerland 2019). On the other, we show that unattested readings of negation can be blocked by assuming that questions presuppose that the pointwise exhaustification of their answers partitions the context of evaluation (Fox 2019). We argue that proper empirical coverage for singular wh-interrogatives requires the interaction of both exhaustification operations.
DEVELOPING TASK-BASED ENGLISH MODULE FOR SECRETARY STUDENTS

The secretary students of the college in which this research conducted use Buku Pegangan Kuliah (BPK) as learning resource of English subject. Nevertheless, according to the result of analysis, the book does not cover the criteria of a good book yet that are analyzed from seven aspects including objective, content, language skill, task, topic, methodology, and presentation. The materials which are presented in the book refer to general English and tend to emphasize on grammar. However, the secretary students need specific English material that focuses on the field. This study is aimed to (1) analyze the relevancy of the existing English textbook with the students’ need; (2) describe the development of task-based English module for secretary department; (3) describe the validity of the module. This study is a research and development, which the main step is conducted in two ways. First, exploration includes library research and field research. Second, development includes product specification planning, product design, expert validation, and tryout. The specific English module is validated by an expert of teaching and learning English and an expert of secretary and office administration. The findings of the study are: (1) the materials of the existing book does not fulfill the secretary students’ need yet; (2) designing task based English module for secretary students based on the data from need analysis; (3) the result of module validation from the two experts obtains 87%, it belongs to valid and feasible to be implemented in the teaching and learning.&#x0D; Keywords: R n D, ESP, English for secretary, need analysis, task based learning