Reviewerly/exHarmony huggingface dataset:
Chatbot integration with Google Dialogflow environment for conversational intervention

Chatbots are computer programs that execute protocols for supporting human-machine conversations and perform various functions such as searching in the web, ordering food, making appointments, and many more.To facilitate timely responses and actions, and also enable interactive human-like conversations, chatbots use Natural Language Processing (NLP) to understand user's messages and respond appropriately.NLP is an area of computer science and artificial intelligence that interprets the interactions between computers and human languages.Google Dialogflow is a chatbot development platform example that provides NLP and other supporting tools and third-party interfaces.Many chatbot applications are developed for short-term conversations, but in order to assist medical applications, we need a long-spread conversation.DashMessaging is a smart chatbot platform that enables the creation of chatbots for long-spread conversations, so we try to mimic this long-spread conversation with the framebased platforms such as Google Dialogflow.In this paper, we explore the feasibility and challenges of using these tools by a DashMessaging chatbot development platform.
Technologies for the formation of teamwork skills in children of preschool educational organizations

This article discusses the issues of building a team and technology of teamwork in preschool educational institutions. Also, the results of the analysis of the concepts “team building”, “team skills”, “team spirit” are presented. In particular, the article provides ways to create ideal teamwork, as well as pedagogical, psychological and organizational conditions for teamwork methodology.
Perbandingan Metode Gaussian Filter dengan Median Filter dalam Mereduksi Noise Pada Citra Digital

Basically all humans want something perfect as well as in a digital image. One problem that often occurs in the digital image is noise or damage on the image. Noise is an error that occurs in the process of shooting so that unwanted signals exist. Improvement of digital images containing noise is an important thing in digital image processing. In designing the applications, the writer uses two methods i.e. Gaussian filter and Median Filter methods. Gaussian filter method is a linear filter with a weighted value for each pixel members is selected based on the shape of the members’ function. While the median filter method is one of the non-linear filter methods that arranges a bunch of pixel intensity values then replaces the pixel values being processed with a median value. From the test results of a digital image that has a noise, it is known that the result of the median filter method is better than Gaussian filter to reduce noise in digital images.Key words: Image Filtering, Method Gaussian Filter, Median Filter
Google Classroom sebagai Teknologi Alternatif untuk Mengajar Bahasa Inggris Online di Masa Pandemi COVID-19

This research is motivated by the COVID-19 pandemic that has impact of teaching and learning process at school. The government has closed learning activities at school in order to prevent the spread of the COVID-19. So that face to face learning is changed to the distance learning (online). This research aims at describing how the English teacher conducts online learning during pandemic COVID-19. This research used descriptive qualitative method. The data collection techniques was carried out through observation, interview, documentation studies, and questionnaire. The research indicates learning process of online class during pandemic, the teacher offered contextual material and easy assignments in accordance with the Ministry of Education and Culture recommendations. Teaching English online using google classroom provide an English learning solution and meaningful learning for students during the COVID-19 pandemic. Online English learning during the COVID-19 pandemic at SMK Negeri 6 Malang was running well in accordance with the Ministry of Education and Culture.
Emotion detection in Arabic texts extracted from twitter network by using machine learning techniques

Arabic sentiment analysis research existing currently is very limited. While sentiment analysis has many applications in English, the Arabic language is still recognizing its early steps in this field. In this paper, we show an application on Arabic sentiment analysis by implementing a sentiment classification for Arabic tweets. The retrieved tweets are analyzed to provide their sentiments polarity (positive, or negative). Since, this data is collected from the social network Twitter; it has its importance for the Middle East region, which mostly speaks Arabic our research was characterized by relying mainly on the XGBoost algorithm, which is considered the most powerful algorithm in the world of big data analysis. The results were compared with several other algorithms that were used to show us the clear difference in terms of accuracy and F1 score between these algorithms and the XGBoost algorithm, The hyperparameters are obtained from the grid search algorithm to get the best performance for each model used in our work. The results showed that our use of the XGBoost model gave more accurate results compared to the previous best-performing models in this field. A website has been created so that the user enters the comment to show him the result (positive comment or negative comment).
Modal data-based simple statistical analysis as an effective petrogenetic indicator: a study from Kadavur gabbro-anorthosite complex, Tamil Nadu, southern India

Field and petrographic studies on the Neoproterozoic Kadavur intrusive complex (10°35′N, 78°11′E) (located in the Southern Granulite Terrane of the Indian shield) reveal three distinct types: (i) earliest phase of deformed schistose gabbro-anorthosite; (ii) most dominant layered gabbro-anorthosite, and (iii) locally developed pegmatoidal gabbro-anorthosite.A simple modal databased statistical analysis of layered gabbro-anorthosite type yields highly significant or significant correlation coefficients for different mineralogical parameters and strongly supports differentiation from a common magma.Typical dispositions of the mineralogical parameters (as depicted by isopleths patterns) suggest maintenance of a magmatic lineage in varying hydration ambience that developed several petrographic variants within the layered type.
EFEKTIVITAS METODE DRILL TERHADAP HASIL BELAJAR DALAM KETERAMPILAN MENULIS TEGAK BERSAMBUNG PADA TEMA 6 MERAWAT HEWAN DAN TUMBUHAN SUBTEMA 4 MERAWAT TUMBUHAN PESERTA DIDIK KELAS II SDN 2 KEDUNGGEBANG BANYUWANGI

This study aims to determine the effectiveness of the drill method on learning outcomes in cursive writing skills on theme 6 caring for animals and plants, sub-theme 4 caring for plants for second grade students of SDN 2 Kedunggebang Banyuwangi. This study used a quasi-experimental study with a non-equivalent control group research design. The research subjects were class IIA and class II B at SDN 2 Kedunggebang. Based on the results of research analyzed with the help of SPSS version 25, it shows that there is an effectiveness of the drill method on learning outcomes in cursive writing skills on theme 6 caring for animals and plants sub-theme 4 caring for plants for second grade students at SDN 2 Kedunggebang Banyuwangi as evidenced by tcount &gt; ttable (5,453 &gt;1,690). While the calculation of the relative effectiveness test was obtained at 57.48% and included in the category of moderate effectiveness.
Developing Motion Graphics “Successful English Presentation” for Tertiary Vocational Students

Communication skills in both oral and written English are significant assets for students to enter the industrial world. Preliminary studies revealed that tertiary vocational students (subjects are 66 Polibatam students) find it challenging to speak in English, especially when making presentations in English (77, 3%), which is a reasonably frequent activity in the industry. Therefore, developing alternative learning media is essential for students. It can be a source of learning independently, as well as an alternative teaching media for lecturers. This research aims to create and analyze motion graphics videos to support speaking practice aimed at vocational higher students. The content is about introducing English presentation and making a successful presentation. The method used in this study is R and D that started from identification or need analysis, design, development of the product, evaluation and final product. The field testing carried out is the alpha testing and beta testing. The developers themselves will conduct alpha testing which involved three media reviewers. Meanwhile, for beta testing, the motion graphic was tested to the English lecturer as the content reviewers and the students as the target to use this product. The result shows that the product was excellent to be used as alternative media for speaking practice even to be used by the lecturer as the media for asynchronous class.
Otsu’s Thresholding for Semi-Automatic Segmentation of Breast Lesions in Digital Mammograms

In Maghreb countries, breast cancer considered one of the leading causes of mortality between females.A screening mammogram is a method of taking low energy level xray images of the human breast to identify the early symptoms of breast cancer.The shape and contour of the lesion in digitized mammograms are two effective features that allow the radiologists to distinguish between benign and malignant tumors.We propose in this paper a new approach based on Otsu's thresholding method for semi-automatic extraction of lesion boundaries from mammogram images.This approach attempts to find the best threshold value where the weighted variance between the lesion and normal tissue pixels is the least.In the first step, the median filter is used for removing noise within the region of interest (ROI).In the second step, a global threshold decrement was started in order to get the proper range of pixels in which the breast lesion could be segmented by Otsu's thresholding method with high accuracy.The technique of mathematical morphology, especially opening operation is used in this work for removing small objects from the ROI while preserving the shape and size of larger objects that represent the tumors.We evaluated our proposal using 21 images obtained from Mini-MIAS database.Experimental results show that our proposal achieves better results than many previously explored methods.
FEATURES OF CONSTRUCTING A MODEL OF PROJECT-RESEARCH COMPETENCE FORMATION IN THE COLLEGE INNOVATIVE EDUCATIONAL ENVIRONMENT

The article reveals the problem of the content of the model of design and research competence of college students. The author’s definition of project-research competence is given. The edition of the blocks representing the basis of the structuralfunctional model of competence is presented: target, environmental-organizational, procedural, evaluative-effective. The features of the model that increase the efficiency of the formation of design and research competence are distinguished.
PENGGUNAAN MODEL PROJECT BASED LEARNING (PJBL) DALAM MENINGKATKAN KEMAMPUAN BERNALAR KRITIS PADA MATERI MENGKLASIFIKASIKAN INFORMASI WACANA MEDIA CETAK SISWA KELAS 5 SEKOLAH DASAR

This study aims to improve critical reasoning skills on the material of classifying print media discourse information in 5th grade elementary school students by using a project based learning model. The type of research used is Classroom Action Research through 2 cycles with the instrument used is a critical reasoning rubric. The research subjects were students of grade 5C at SDN Pati Kidul 01. This study showed that in cycle 1 the total score of students was 227 points with an average score of 9.46 or 47.3%. Furthermore, in cycle 2 the total score of grade 5C students at SDN Pati Kidul 01 increased to 346 points with an average score of 14.42 or 72.1%. Thus, the use of the project based learning model has succeeded in increasing critical reasoning skills in classifying information about printed media discourse for 5th grade students of SDN Pati Kidul 01.
Lecturers’ Talk In Bussiness English Classroom At The Third Semester Of English Education Program Unpari Lubuklinggau

ABSTRACT&#x0D; &#x0D; The purpose of this research was to explain the lecturers’ talks in classroom interaction of business English learning. This is a qualitative descriptive research that applied observation and interviews in collecting the data. The data source was the lecturers’ talks when teaching business English courses in the classrooms. The instrument used in this research were observation using video recording and field note as well as the interview list where the researcher record the answers from the questions the researcher asked to the lecturer. And the results of the research from the researcher's analysis show that there are several categories of lecturers' conversations carried out by the lecturers during the classroom interaction. The lecturers’ talks were categorized based on the FIAC System, and they were: accepting feelings, accepting and using students' ideas, asking, and giving directions. The most frequent category of lecturers’ talk were asking questions, and giving directions.&#x0D; Keyword: Lecturer's Talk, Interaction, Classroom Interaction, Business English Class
The Role of Paragraph in the Corpora of Annotated Texts

The paper focuses on the function of paragraph both in text organization and in text annotation from the point of view of coherence. Taking as examples three major types of corpora (the RST, ANNODIS, and PDTB corpora), it shows whether and to what extent the existing approaches account for the paragraph when a discourse relation gets annotated. Then it presents the theoretical principles underlying text annotation in two databases: the Supracorpora database of connectives and the Supracorpora database of hierarchical logical-semantic relations (a new linguistic resource). Text coherence is shown to result from the interaction of various discourse phenomena, acting at the level of local and global structures. In this approach, the paragraph is assigned to the meso-level, positioned between local and global levels. The researcher may analyze the internal organization of the paragraph, limiting oneself to the intersentential level. Yet, to analyze and describe how paragraphs follow one another in the text, it is necessary to operate at the supra-sentential level, adopting a conceptual apparatus fundamentally different from the one for the description of local text structure.
Improving students' writing achievement of recount text through weekly journal

This research aimed to investigate whether or not there is an improvement in students’ writing achievement of recount text because of the implementation of weekly journal. This research was quantitative research with pre-test and post-test design. The population of this research was tenth grade students of SMK SWADHIPA 2 NATAR in academic year 2021/2022 with 33 students of X TKJ 1 as the sample. The instrument used in this research was written test and used pre-test and post-test to collect the data. The data were analyzed by using Paired sample t-test showed the significant value which is .000 and the standard of hypothesis testing is α≤0.05. The data analysis confirmed that there is an improvement in students’ writing achievement because of the implementation of weekly journal since α≤0.05 (α=0.05).
Research on the Application of Computer Digital Technology in the Protection of Security Language

Making full use of computer digital technology to carry out machine translation research, will realize the language variety conversion between national language and document information, and make the security language language realize the communication goal with no limit, it also lays a good foundation for the protection of security language and writing information and the construction of barrier-free national cultural exchange system. Based on the analysis of the current situation of the security language and characters, this paper probes into the concrete methods of protecting the security language and characters by using digital recording technology, Digital Image Processing Technology and other computer digital technologies.
Analisis butir soal pilihan ganda ulangan akhir semester genap mata pelajaran kearsipan

Tujuan dalam penelitian ini yaitu untuk mengatahui kualitas butir soal ulangan akhir semester genap mata pelajaran kearsipan yang digunakan. Metode yang digunakan dalam penelitian ini yaitu kuantitatif, dan subjek yang digunakan sebanyak 105 siswa. Hasil penellitian menunukan bahwa validitas soal mayoritas berada pada kategori valid yaitu 70% atau sebanyak 28 butir soal dan soal yang tidak valid yaitu 30% atau sebanyak 12 butir soal. Nilai reliabilitas menunjukan Alpha=0,81 yang artinya reliable. Berdasarkan yang dilihat dari tingkat kesukaran sebanyak 1 (2,5%) butir soal kategori sukar, 19 (47,5%) butir soal kategori sedang, dan sebanyak 20 (50%) butir soal kategori mudah. Daya pembeda terdapat 7 (17,5%) butir soal kategori jelek, 15 (37,5%) butir soal kategori cukup, dan 18 (45%) butir soal kategori baik. Keefektifan fungsi distractor, secara keseluruhan terdapat 59 (36,88%) fungsi pengecoh berfungsi dengan baik dan sebanyak 101 (63,13%) tidak berfungsi. The analysis of multiple-choice questions of the final exam on archive subject Abstract: The purpose of this study was to determine the quality of the end semester exam items in archiving subjects used. This research uses quantitative research methods and the subjects in the study were 105 question sheets. The results showed that the validity of the majority of the questions was in the valid category, namely 70% or 28 items and 30% or 12 invalid items. The reliability value shows Alpha = 0.81 which means the question is reliable. Based on the difficulty level of the questions, there was 1 (2.5%) item in the difficult category, 19 (47,5%) items in the medium category and as many as 20 (50%) items in the easy category. Based on the discrimination power, there are 7 (17,5%) bad items, 15 (37,5%) enough items, and 18 (45%) good category items. Based on the effectiveness of the distractor function, overall there are 59 (36,88%) distractor functions functioning properly and 101 (63,13%) are not functioning.
MENURUNNYA PRESTASI AKADEMIS MAHASISWA AKUNTANSI PADA PEMBELAJARAN DARING DI MASA PANDEMI COVID-19

This study aims to try to find out what factors influenced student achievement in e-learning during the Covid-19 Pandemic along with Government policies requiring daring learning in tertiary institutions. Daring learning carried out through daring has many limitations, both in terms of faculty and student factors. This research is a descriptive study with a quantitative approach. The primary data source in this study was obtained through a questionnaire. The population in this study were accounting students throughout Indonesia with a sample size of 1087 students randomly in the cities of Java, Sumatra and Madura. This study found that there was a reduced application of learning methods, increased student difficulty, daring learning facilities and infrastructure were not optimal, and daring learning did not benefit students, which in turn led to decreased academic achievement. In this study it was concluded that the factors that influence student academic achievement are the learning design, technical tools in daring learning and the ability of students to carry out individual learning
Portal de periódicos: serviços e práticas

Academic journal portals emerged with the immersion of electronic scientific journals that proliferated with the customization of the OJS (Open Journal Systems) by the IBICT (Brazilian Institute of Information in Science and Technology) in 2003. This work aimed to identify and learn &nbsp;about documents, services and institutional links that academic journal portals are publishing on their websites. This is a preliminary and random survey that, despite the limitations understood by the issues involving the algorithm of the search platforms, presents a small overview of the practices disclosed by the portals. The result shows that there is no standard in institutional links, services and practices performed.
Methodology for Translation of Video Content Activates into Text Description: Three Object Activities Action

This paper presents a natural language text description from video content activities.Here it analyzes the content of any video to identify the number of objects in that video content, what actions and activities are going on has to track and match the action model then based on that generate the grammatical correct text description in English is discussed.It uses two approaches, training, and testing.In the training, we need to maintain a database i.e. subject-verb and object are assigned to extract features of images, and the second approach called testing will automatically generate text descriptions from video content.The implemented system will translate complex video contents into text descriptions and by the duration of a one-minute video with three different object considerations.For this evaluation, a standard DB of YouTube is considered where 250 samples from 50 different domains.The overall system gives an accuracy of 93%.
Generalized linear tree: a flexible algorithm for predicting continuous variables

Tree-based models are popular among regression methods to predict continuous variables. Also, Generalized Linear Models (GLMs) are pretty standard in many statistical applications and provide a generalization to many of the most commonly applied statistical procedures. However, in most regression tree methods, there is only one theoretical model associated for prediction in the final nodes, like multiple linear regression, logistic regressions, polynomial models, Poisson models, among others. We, therefore, propose a new tree method in which we estimate a GLM in each leaf node of the estimated tree including variable selection, new hyperparameters optimization, and tree pruning. Our method, called Generalized linear tree (GLT), has shown to be competitive compared to other well-known regression methods in real datasets, with the advantages and estimation flexibility provided by GLMs.
The Effectiveness of Using Learn Social Online Platform Toward Speaking Skills of English Literature 2018 Students of Universitas Sumatera Utara

This study focuses on the effectiveness of the Learn Social online platform on the speaking skills of English Literature 2018 students of University of Sumatera Utara. The purpose of this research is to know the Learn Social online platform is effective in improving the speaking skills of students of English Literature 2018, University of Sumatera Utara. The method used in this research is a qualitative descriptive method and the indicators used in determining the effectiveness are those proposed by Slavin (2000). The results of this study indicate that three of four indicators of the Learn Social online platform are effective on students’ speaking skills, except the indicator of instruction is not yet effective. This can be seen through the results of the questionnaires that were distributed to respondents, English Literature 2018 students, University of Sumatera Utara. Four indicators are instruction (not effective), the appropriate level of instruction (effective), incentive (effective), and time (effective).