Reviewerly/exHarmony huggingface dataset:
Penerapan Metode Example Nonexample dalam Pembelajaran Bahasa Indonesia Kelas C Program Studi S1 Keperawatan di STIKes Bina Sehat PPNI Mojokerto

Abstract&#x0D; This Research described the application of the example non example method in learning Indonesian in class C of the S-1 Nursing Science Study Program at STIKes Bina Sehat PPNI Mojokerto. The material for preparing reports on community service activities was a series of language learning materials that had been prepared by the lecturer in the semester learning plan. In learning activities, students were required to always be active and creative. In addition, the role of the lecturer as one of the components of learning becomed very important and must be able to apply and develop learning methods appropriately. Through the example non example method, students can be directly and actively involved and can think critically in the learning process, thus making the learning atmosphere more fun and meaningful. This research used a type of field research (field research) with a qualitative approach. Data collection techniques included observation and documentation. The data analysis carried out by the researcher was as follows: (1) data reduction. This activity includes selecting data on the basis of its level of relevance and relation to data groups, compiling data in similar units, and creating codes. (2) displaying data by compiling relevant data, (3) drawing conclusions to get a meaning of scattered symptoms to have deep meaning. Based on the results and discussion, it can be concluded that the implementation of the example non example method has been going well. students can compile reports on the results of community service activities more regularly and systematically.&#x0D; Keywords: learning Indonesian, compiling reports, method example non example
Students’ Perception On The Use Of Comic Strips: Reading Skill

The main objective of this study was to analyze the perception students in Senior High School which discussed about the use of comic strips in students’ reading comprehension. This study involved the descriptive quantitative method data deriving from questionnaires. The instruments aimed to get feedback from the students about their perception about this topic. The finding show the students take the media positively and also help them in understanding the text using comic strip rather than text only because they can use their imagination to developing their critical thinking skill and comic strip also enjoyable to be the tool for their learning process.
Classification of Early Childhood Reading with C4.5 Algorithm

Early age is a golden age for children, which is important to improve their development. The children also need to get a good education according to development to improve their abilities. The education provided is certainly following the developmental aspects, one of which is language. The language skills needed at this age is early reading skills. In the understanding given by the teacher, it was found the problems and the need related to it. There is no determination of the classification of early childhood reading skills. At this moment, the teacher has difficulty providing the achievement of reading skills to students based on the criteria of early reading ability and classifying it and improving learning quality to each student and material for discussion with parents. There is a suggestion given to achieve the goals and resolve it that the classification of early childhood reading skills has been designed and for data processing is carried out using a computer. This study uses a decision tree and Algorithm C4.5 for the method. Algorithm C4.5 is included in the classification based on Decision Tree, which Algorithm C4.5 is a method that can handle features with numeric types. The purpose of this study is to perform classification using Algorithm C4.5 as a method that can find out the level of reading skills in early childhood, based on the criteria, so that classification can be done easily and get the right improvement suggestion. The result in this study is that the Algorithm C4.5 method has a good result in solving and calculating for the classification so that the accuracy value of the Algorithm C4.5 calculation that has been carried out is 77,14%.
Comparison of support vector machine and K-Nearest Neighbor algorithms in Indonesia hoax classification

Today, more and more people spread the word and read news from social media. This is because on social media it is easier to spread the news and to get news. So, to overcome these problems, it is necessary to classify the news contained on social media whether the news is hoax news or facts because it is important to assess the level of truth of a news spread on social media. To classify which news is hoax or fact, manually will spend a lot of time, so one solution to make it easier to classify hoaxes or facts is to use a machine learning approach. In this study, researchers used the SVM and KNN algorithms to classify hoax news in Indonesian. From the two algorithms, we will look for which model is the best in classifying hoax news. Researchers use four categories of data that have their own characteristics, in this study several stages were carried out starting from the preprocessing stage and using TF-IDF calculations in measuring the weight of each news, then the learning process was carried out using the Support Vector Machine algorithm and K-Nearest Neighbor and evaluation of the model by using the confusion matrix. Based on the results of the model evaluation, it was found that the classification with the SVM algorithm obtained a higher accuracy value than KNN, with an accuracy value of 84% and f-measure of 84% in the third data category.
Clasterization Of Data Using Contraceptive Equipment At Puskesmas Kampung Bali, Bengkulu City Using K-Means Method

Kampung Bali Health Center is one of the health centers in Bengkulu City. The health center serves the family planning program by providing contraceptives, such as pills, injections, condoms, IUDs, and implants. The data processing on supplies and expenditures of contraceptives is done manually by filling in the form provided. It will be recapitulated by the officer to know the use of contraceptives for 1 year. Unfortunately, this procedure is not efficient because it takes time and sometimes there are miscalculations that cause errors in determining the supply of contraceptives. Moreover, the health center needs data on most in demand and least desirable contraceptives. The application of data clusterization on contraceptive use at the Kampung Bali Health Center in Bengkulu City is used to assist the Health Center in managing monthly contraceptive data, and to assist the Health Center in finding out which contraceptive information is most in demand and the least desirable. The K-Means Clustering methodology applied in this research is used in order to divide the contraceptive data into 2 groups; Cluster C1 (the most popular) and Cluster C2 (the least desirable) based on an analysis of the amount of supply and use of contraceptives. There are 60 participants in this study, where Cluster C1 consisted of 24 data and Cluster C2 consisted of 36 data, with the percentage value of C1 clustering 40% and C2 60%. Based on the test, it shows that the functional application of clustering data on contraceptive use at the Kampung Bali Health Center in Bengkulu is running well. It also give beneficial information about data clasterization of contraceptives.&#x0D;
PERSPECTIVE DIRECTIONS OF DEVELOPMENT OF EMOTIONAL INTELLIGENCE OF THE TEACHER OF MUSICAL ART

The article shows the urgency of the problem of emotional intelligence of the individual, its significance in the world educational space. The purpose of the article: on the basis of the conducted research to outline perspective directions of development of emotional intelligence (EI) of the teacher of musical art. Research methods: analysis, synthesis, comparison for study of normative documents, psychological and pedagogical research in order to establish the level of theoretical solution of the outlined problem. The method of generalization is used to formulate the basic concept of research, the author's concept and to identify promising areas of development of emotional intelligence of music teachers. It is noted that at the present stage of development of society, with the characteristic globalization transformations, the theory of emotional intelligence with the leading idea - "to bring the mind to emotions in a collective emotional crisis" is gaining widespread recognition in the world. On the basis of the theory of emotional intelligence, educational programs of social and emotional learning of students with the basic concept of "EI" as an alternative to knowledge-centred education are developed and implemented in the national education systems of many countries. This is considered one of the latest trends in the world educational practice. It is emphasized that in the context of reforming the domestic system of general secondary education, the term "emotional intelligence" is used in regulations; it is a subject of scientific research, in particular, in the field of pedagogical education. The author's concept of formation of emotional intelligence of future teachers of music art at the university is stated. The results of the study: promising areas for development of emotional intelligence of music teachers are outlined, which related to the need for further scientific substantiation of theoretical and methodological foundations of formation and development of emotional intelligence of music teachers; study and implementation of foreign experience in the process of training teachers and continuing professional education; modernization of industry standards and educational training programs, their coordination with the tasks of the new Ukrainian school, etc. The practical significance of the study is to determine the practical ways of development of the emotional intelligence of a music teacher. Prospects for further research are related to the analysis of the effectiveness of certain practical ways to develop the emotional intelligence of a music teacher.
The Displacement of the Law by Technicity

Introduction to The Problem : Trust towards the legal system and interpersonal trust might lose significance and be increasingly replaced by technical determinacy following the loss of state sovereignty as a result of the deterritorialization of the law in the technical globalized world. The future evolution of artificial intelligence and digitalization may provide instruments to displace law as a social control instrument and at the same time reduce the human factor in the law. Purpose/Objective Study : This paper is describing the connection between the ubiquity of the internet and the rise of disruptive technologies. It asks for the future role of the ethic in the legal system in a technologized society. Paper Type : General Review
Application of machine learning methods and feature selection based on a genetic algorithm in solving the problem of determining the authorship of a Russian-language text for cybersecurity

The article explores the approaches to determine the author of a natural language text, the advantages and disadvantages of these approaches. The identification is carried out using classical machine learning algorithms and neural network architectures (including fastText, CNN and LSTM and their hybrids, BERT). The efficiency of the model is evaluated based on the social media texts dataset. A separate experiment is devoted to the feature selection using a genetic algorithm. SVM trained on a selected 400 features set makes it possible to achieve up to 10% increase in accuracy for all considered numbers of authors. Neural networks achieve a classification accuracy of 96%, but their training time in some cases exceeds the time spent on training SVM and other classical machine learning methods in some cases. For SVM together with the genetic algorithm, the average accuracy was 66%, for deep neural networks and fastText – 73 and 68%, respectively.
The relationship between job satisfaction and affective commitment toward organizational behaviour

The aim of this study looks at the function of leadership (LE) in mediating the link between job satisfaction and affective commitment toward organizational behavior in Jordan. The concept of commitment and its different relations have been widely studied in the organizational behavior literature, either as employees’ commitment to organizations (Sumarsi &amp; Rizal, 2022; Khraiwish, Al-Gasawneh, Joudeh, Nusairat, &amp; Alabdi, 2022). The study looks at this issue by gathering information from 208 employees in Jordanian companies, which were analyzed using SmartPLS. According to the findings of the study, leadership use and affective commitment support are critical to increasing the efficacy of organizational behavior, but leadership use and job satisfaction are noncritical to increasing the efficacy of organizational behavior. The findings indicate that there is a considerable association between affective commitment and organizational behavior. Additionally, leadership has a key role in mediating the link between affective commitment and the success of organizational behavior. Future studies may examine managerial support on the relationship between job satisfaction and affective commitment toward organizational behavior
Collaborative Ontology Construction Framework: An Attempt to Rationalize Effective Knowledge Dissemination

Ontologies are domain rich conceptualizations, which can be utilized for effective knowledge dissemination strategies.Knowledge dissemination plays a vital role in any industry.In this research, novel framework is designed and experimented for the collaborative ontology construction.With the iterative and incremental involvement of the domain specialists and ontologists rational process has been discussed and planned for the collaborative ontology construction.Additionally, existing shortcomings associated with the current ontology construction methodologies and frameworks also have been rigorously reviewed to identify the shortcomings.Henceforth the responses received from the domain specialists and ontologists, along with the gaps located from the literatures have been utilized as the backbone in designing this novel framework.Designed ontology increments have the potential of effective knowledge distribution once it`s coupled with technologies like chatbots.In this research, proposed framework has been deployed in three different domains and three different ontology increments have been created for each domain.Consequently, their efficacy have been tested with the involvement of domain specific stakeholders.Overall results have yielded an 82% of acceptance from the stakeholders.
ENHANCING STUDENTS’ READING COMPREHENSION IN DESCRIPTIVE TEXT THROUGH SUSTAINED SILENT READING

ABSTRACTThe researcher discovered that students did not understand reading descriptive text. Students did not know the meaning of the word. Sustained silent reading was a way to overcome students’ problem with reading. In this study, the researcher utilised classroom action research. The research was conducted in SMP Islam Walisongo Pontianak. The participants of the study were class 7 B with 36 students. For the first cycle based on the observation, implementing Sustained Silent Reading, the researcher watched students reading. The researcher discovered that some students did not earnestly read. Thereupon, the students did not understand reading descriptive text. Students did not know the meaning of the word. For the second cycle, there was something different at that time. The students started to understand what they were reading. The students began to pay attention to the teacher's elucidation about what they required to undertake on reading activity. They had started to enjoy reading descriptive text using sustained silent reading. The conclusion of this research was students could increase their understanding, reading in a descriptive text through sustained silent reading.Keywords: Reading Comprehension, Descriptive Text, Sustained Silent Reading
Deep Learning Algorithm Models for Spam Identification on Cellular Short Message Service

Nowadays, the types and products of cellular telecommunications services are very diverse, especially with the upcoming of 5G technology, which makes telecommunications service products such as voice, video, and text messages rely on data packages. Even though the digital era is rapidly growing, the Short Messaging Service (SMS) is still relevant and used as a telecommunication service despite so many sophisticated instant messaging services that rely on the internet. Smartphone users especially in Indonesia are often terrorized by spam messages with pretentious content. Moreover, the SMS came from an unknown number and contained a message or link to a fraudulent site. This study develops a Deep Learning model to predict whether a short text message (SMS) is important or spam. This research domain belongs to Natural Language Processing (NLP) for text processing. The models used are Dense Network, Long Short Term Memory (LSTM), and Bi-directional Long Short Term Memory (Bi-LSTM). Based on the evaluation of the Dense Network model, it produces a loss of 14.22% and an accuracy of 95.63%. The evaluation of the LSTM model is 19.89% loss and 94.76% accuracy. Finally, the evaluation of the Bi-LSTM model is 19.88% loss and 94.75% accuracy.
Novel Architecture for Human Re-Identification with a Two-Stream Neural Network and Attention Mechanism

This paper proposes a novel architecture that utilises an attention mechanism in conjunction with multi-stream convolutional neural networks (CNN) to obtain high accuracy in human re-identification (Reid). The proposed architecture consists of four blocks. First, the pre-processing block prepares the input data and feeds it into a spatial-temporal two-stream CNN (STC) with two fusion points that extract the spatial-temporal features. Next, the spatial-temporal attentional LSTM block (STA) automatically fine-tunes the extracted features and assigns weight to the more critical frames in the video sequence by using an attention mechanism. Extensive experiments on four of the most popular datasets support our architecture. Finally, the results are compared with the state of the art, which shows the superiority of this approach.
The Evolution of Virtual and Augmented Reality and its Various Practical Applications

Virtual Reality (VR) and Augmented Reality (AR) are two rapidly evolving fields of technology that use digital elements to enhance an user-experienced 3D environment. In order to predict the future applications of Virtual and Augmented Reality, its history and evolution must be examined. This paper was created after reviewing research papers and collecting data to create a detailed analysis based on our research. We have identified the origin of VR and how it has since then been developed to be used in various fields of study. Additionally we discuss the stemming of AR from VR and its development with its rapid growth. We also examine the potential for AR and VR growth in the next 10 years. Overall, we are able to conclude that Virtual Reality and Augmented Reality are fields with much opportunity to expand.
Preservasi Dan Konservasi Sebagai Upaya Pustakawan Mempertahankan Koleksi Bahan Pustaka

The maintenance and preservation of library materials is carried out with the aim of preserving the information values ??contained in a document, accelerating information retrieval, maintaining the beauty and tidiness of documents, maintaining library materials so that they can still be used, and preventing collections from various factors that are damaging. The method used in writing this article is a literature study, with an emphasis on peeling, summarizing and collecting literature, then giving the analysis. Maintenance and preservation are carried out in the library, namely, 1) cleaning the collection from dust, 2) cleaning the floor every day, 3) avoiding using thick bookmarks, 3) holding both sides of the book while reading, 4) storing books in a dry place, 5) weeding the collection, 6) changing the shape using media, 7) reproduction of library materials, 8) binding and laminating. The factors that causing damages to library materials are, 1) physical factors or material characteristics, 2) environmental or climatic factors, 3) human factors. Activities and preservation of library materials required reliable human resources. Constraints in the preservation of library materials, namely, the lack of preservation personnel, the absence of institutions that handle it specifically and lack of funds.
PENGEMBANGAN DIGITAL SMART BOOK UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR TINGKAT TINGGI SISWA SEKOLAH DASAR

This research is motivated by the less than optimal use of digital learning media. This study uses the Research and Development (R&amp;D) method which aims to produce digital smart book textbooks, test the feasibility of digital smart books and determine the improvement of higher order thinking in 5th grade students of SDIT Laa Tahzan through the development of digital smart books. The development of this product is guided by the Sugiyono model which is modified into six steps including problem analysis, data collection, product design, product validation, product revision, to product testing. The digital smart book feasibility test is carried out by material, media and language experts. Validation from the three experts showed the results of "Fair" to "Very Eligible". The results of student responses to digital smart books get a percentage of 96.66% and are included in the "Very Good" category. This is reinforced by obtaining an N-Gain value of 0.506 which is included in the "Medium" criteria. Based on the results of the study, it can be concluded that digital smart books to improve the higher-order thinking skills of elementary school students have been successfully developed, suitable for use in learning, the responses given by students are supported by increasing higher-order thinking skills in students with the use of digital smart books in learning.
Pengembangan Media Pembelajaran Menulis Puisi dalam Bentuk Audia Visual Berbasis Pendidikan Karakter Siswa Kelas X SMA Al-Hikmah Medan

&#x0D; &#x0D; &#x0D; &#x0D; This study aimed to describe the development process and fasibility of new poetry writing learning media in the form of audio-visual-based character education for class X SMA Al-Hikmah Medan. The source of data in this study is a questionmaire. The data collection techniques are observation and interviews to gain data in learning to write new poetry based on character education. This study used the research and development (R&amp;D) by Borg and Gall that consists of 7 stages; 1)needs analysis, 2)product development, 3)expert validation, 4)first stage revision, 5)field trial, 6)second stage revision and, 7)final product. The researchers tested the product in large and small groups. The material expert validation of the newly developed poetry writing learning media obtained and overall average as 82% or “Very Satisfacation”means that it deserves to be tested into large and small groups. The media experts obtained and overall average as 94% or “Very Satisfacation” means that it deserves to be tested into large and small groups. The results of small group test got 99% and the large group got 97%. Based on the percetages obtained for the developed learning media, the learning media is declared to be effectively used in learning in class X.&#x0D; &#x0D; &#x0D; &#x0D;