Reviewerly/exHarmony huggingface dataset:
Media Edpuzzle dalam Pembelajaran Menyimak Bahasa Jerman

Abstract. The purpose of this study was to determine and describe the effectiveness of using Edpuzzle media on the learning outcomes of listening to German students in class XI MIPA SMAN 8 Makassar. This type of research is a quasi-experimental design (non-equivalent control group design). The population of this research is the students of class XI MIPA SMAN 8 Makassar. The subjects of this study were students of class XI MIPA 3 as the experimental class and students of class XI MIPA 4 as the control class which were selected randomly (random sampling). The instrument in this study was a test consisting of multiple choice and true-false tests. Data analysis using the Independent sample t-test test shows the value of &gt; that is 2.610 &gt; 2.00665 and the value of Asymp. Sig. (2-tailed) of 0.012 (p&lt;0.05)). That is, the results of this study indicate that the use of Edpuzzle is effective on the learning outcomes of listening to German for students in class XI SMAN 8 Makassar.
Developing a Heuristic Algorithm to Solve Uncertainty Problem of Resource Allocation in a Software Project Scheduling

In project management process, the objective is to define and develop a model for planning, scheduling, controlling, and monitoring different activities of a particular project. Time scheduling plays an important role in successful implementation of various activities and general outcome of project. In practice, various factors cause projects to suffer from time delay in accomplishing the activities. One important reason is imprecise knowledge about time duration of activities. This study addresses the problem of project scheduling in uncertain resource environments, which are defined by uncertain activity durations. The study presents a solution of the levelling and allocation problems for projects that have some uncertain activities. The resources are minimised using resource levelling based on a proposed heuristic algorithm with limited duration. The algorithm performs the resource scheduling (levelling and allocation) for minimum moments. The efficiency of the proposed algorithm is indicated by the resource improvement coefficient and rate of resource utilisation.
A WORLD WITH MANY ANSWERS

What should people do, who suddenly found themselves in a society of fear, absurdity and uncertainty about the future from the consumer society? To answer this question, the author suggests considering the question of how living objects differ from inanimate ones. The desire for expansion and the ability to work with different virtual realities distinguish the living from the inanimate. Working with virtual reality is shown for the first time on the example of sensory memory and conditioned reflex. The subthreshold zone is described below, which allows us to connect to an infinite number of new, unknown virtual realities
EquiSign Dynamic Sign Language Translator

This paper aims to address the problem of limited knowledge and outreach of the concept and structure of sign languages in order to facilitate better inclusion and integration of hearing-impaired people among their peers and general society as a whole. For the proposed system, the speech input is captured in real-time, converted into text using a machine-learning model based on natural language processing, and translate the text into the specified flavor of the sign language. The proposed system currently makes use of Python as it's core tech-stack.
EFEKTIVITAS BAHAN AJAR SASTRA BERBASIS APLIKASI WIKI-TERSTRUKTUR UNTUK MENINGKATKAN KOMPETENSI PEDAGOGIK GURU

Online learning conducted during the Covid-19 pandemic requires teachers to be creative in implementing strategies to convey material by building a strong and progressive pedagogical atmosphere.This study aims to describe the use of literature teaching materials based on the Wiki-Structured Application (WSA) as a solution to a pedagogical crisis so that online learning by teachers is substantially as effective as offline learning.Indonesian junior high school teachers were involved in this study.Quantitative-descriptive method is used in this study.Data collection was carried out by using a survey of learning using these teaching materials.Presentation of data uses descriptive statistics either using numerical or graphical representations.The results show that 1) The teacher feels that WSA is helped in managing teaching materials, especially in literature 2) WSA is effectively used as a medium for learning literature 3) WSA contains features that can visualize abstract concepts in literature subjects.
The Content Strategy Analysis of Jaring’s Investigative Journalism

Print media is one of the sunsets industries as the result of disruption era.This is because people have switched from the habit of reading the print version to the digital version.As the impact, the online media market is packed and highly competitive in grabbing the attention of readers.One way to grab the reader's attention is to use an investigative journalism style.Jaring is one of the non-profit online media that chooses the investigative news approach to cover the public interest.So, this study aims to describe how the investigative journalism content strategy is carried out by Jaring and find out how the Journalistic Code of Ethics is implemented within the contents.This research uses constructivism paradigm with The Content Matrix Theory, Storytelling and Code of Ethics.The Content Matrix is a matrix divided into four spaces: Magnetic Content, Immersive Content, Smart Content and Practical Content.The method used is ethnographic content analysis.This design is a combination of content analysis design in quantitative approach and ethnographic design in qualitative approach.Observation was conducted for 30 days on Jaring news during March 2021.The results shows that Jaring's content adopted the Magnetic Content approach and slightly the Practical Content, there are violations of the journalistic code of ethics number 1, 3 and 8.
Terminology Work in the Translation Project Process. The Hungarian Perspective

The goal of this paper is to examine the place and role of terminology and terminology work in the translation project process and, based on literature and everyday practice, to examine the changes relevant to terminology work that have taken place in Hungary in recent years.The method of analysis is a comparative content analysis and descriptive method.Terminology management, document management, and translation (project) management are all interrelated as are all forms of content management, and terminology has a key role in all of them.The quality of the source text is fundamental for the quality of the translation, therefore high-quality translation begins at content creation.Starting with drafting the documentation, the translation project process is a fourteen-step project process.Terminology work is present in most steps of the translation project process in some way, and even plays an important role in step zero, the creation of the source text.Terminology work, both in the translation project process and in the writing of documentation, has a number of regulated processes and steps, some of which are laid down in standards and are also discussed in the international literature on terminology, translation, and technical communication.In daily practice, translation agencies are increasingly commissioned to carry out documentation work in addition to translation, editing, and proofreading tasks.Nevertheless, it was found that in Hungary, in the operation of translation agencies and during the process of technical documentation, terminology workflows are not always coordinated, terminology databases are not always used, and terminology specialists are rarely employed.
Contraints base (CB) algorithm for Bayesian network structure construction

One of the techniques used in data classification is Bayesian Network (BN) which is a graphic model that contains information about the independent probability relationships between variables. In general, BN consist of graph structure called the Directed Acyclic Graph (DAG) that describe the conditional independence relations of variables and parameter learning that describe the Joint Probability Distribution (JPD) value which is interpreted in the Conditional Probability Table (CPT). There are two approaches in the construction of BN structure, namely search-scoring and dependency analysis. Search-scoring approach have required the node ordering which must be defined manually, while dependency analysis approach have been dependent on conditional independence test (CI test). Both of the approaches can be developed to generate a computationally easier BN structure construction algorithm for complete data, namely the CB algorithm. The CB algorithm is a combination of the K2 algorithm on the search-scoring approach and the PC algorithm on the dependency analysis approach. This algorithm uses CI test to generate the node ordering from databases, which is then used it as input in constructing of the best BN structure with a non-Cl test based method. This algorithm can only be used on complete data.
A LITERATURE REVIEW OF THE OPPORTUNITIES AND BARRIERS IN COMPUTER-ASSISTED LANGUAGE LEARNING (CALL)

The use of computers in language instruction has been a topic of research interest since the 1960s. The following literature review gives an overview of how Computer-assisted language learning (CALL) has evolved from mainframe-based drill and practice programs to NLP-based conversational agents that function as language tutors. Further, the review examines the economic, logistic, and technical to adopting CALL. Ultimately, the review sheds light on the new opportunities presented to CALL to overcome the barriers, primarily owing to advancements in the field of adaptive learning and testing and Natural Language Processing. The following research questions have guided the literature review: 1. How has CALL developed over the years? 2. What are the barriers to CALL? 3. What are the new opportunities in CALL?
Algoritma Naïve Bayes Classifier Untuk Analisis Sentiment Pengguna Twitter Terhadap Provider By.u

The development of the internet which has increased in recent years has made it easy for people to give their opinion on a product. By.u, as a new internet service provider, has made many new users share their opinions with each other. Many by.u users give their opinions through social media, especially twitter. From these problems, research was conducted using sentiment analysis. The research stages consisted of collecting data from social media Twitter, preprocessing data, weighting TF-IDF data and classifying using the Naïve Bayes Classifier algorithm. To get the best evaluation results, a comparison of training data and test data was carried out. Data classification is done automatically after cleaning the data in the preprocessing process. There are 2 labels for the data resulting from the automatic classification, namely positive and negative. The dataset after classification will be used as training data and test data. The datasets to be tested are divided into 3 numbers, namely the number of 1000 datasets, 2000 datasets, and 3000 datasets. The test was carried out 3 times for each dataset. The accuracy test is carried out using a confusion matrix. The test results with the highest accuracy were obtained by the nave Bayes classifier with a multinomial model of 85%.
Collaborative Fuzzy Clustering Mechanism &amp; Data Driven Fuzzy Neural System

In this Research, Fuzzy Logic guideline move system for self-developing Fuzzy neural deduction systems is anticipated. Highlights of proposed strategy, named (CFCM-DDNFS)Collaborative Fuzzy Clustering Mechanism &amp; Data Driven Fuzzy Neural System mechanismwere; (1) Fuzzy guidelines are produced simply by Fuzzy c-means (FCM) and afterward adjusted by the (PCFC)preprocessed synergistic Fuzzy clustering method, and (2) Boundary &amp; Structured learning are accomplished at the same time without choosing the underlying boundaries. The CFCM-DDNFS could implemented to manage enormous information issues by the goodness of the PCFC method, which is fit for managing colossal data-sets while saving the protection and security of data-sets. At first, the whole data-set is composed into two individual data-sets for the PCFC system, where each of the data-set is bunched independently. The information on model factors (bunch focuses) and the lattice of only one divide of data-set across synergistic strategy are sent. CFCM-DDNFS can accomplish consistency within the sight of aggregate information on the PCFC and lift the framework demonstrating procedure by boundary learning capacity of oneself developing neural Fuzzy induction systems (SONFIN). Proposed strategy beats existing strategies for time arrangement forecast issues. Keyword : Fuzzy system,Neural network, Big Data, On-line learning framework,Privacy &amp; security, Time arrangement expectation, Collaborative strategy.
Development of Bengkulu Traditional Cake Marketing through E-Commerce Media

Ummi shop is a company engaged in the sale of traditional cakes. The sales system used today is a conventional system, where the buyer must come directly to the Garsel Shop to see the products offered. With this system, it will take the consumer's time so that it is difficult to obtain information about the specifications of the product being offered. E-Commerce or in Indonesian, namely electronic commerce is the distribution, purchase, sale, marketing of goods and services through electronic systems such as the internet or television, www, or other computer networks. E-commerce can involve electronic funds transfer, electronic data exchange, automated inventory management systems, and automated data collection systems. At this time, Ummi Store has not used the e-commerce facility so that it is difficult to offer products to consumers who are outside the city. In addition, it can also have an impact that affects the product sales process, namely the ignorance of consumers who are outside the city of the existence of Ummi Shops. The process of selling the Ummi Store will only be carried out if there are consumers who come to the store, while many consumers who are outside the city cannot come or do not know the existence of the Ummi Store. To build this e-commerce system, the tools used to describe the system model are in the form of a data flow diagram (FlowMap), context diagrams, and Data Flow Diagrams (DFD), as well as in database design using a data dictionary and Entity Relationship Diagram (ERD). With the existence of e-commerce is expected to make it easier for consumers to obtain information about product specifications offered by Ummi Stores. Make it easy for Ummi shops to offer or sell their products to consumers who are outside the city. Consumers who are outside the city can find out the existence of Ummi stores by using this e-commerce service and can order without having to come to the store. Make it easy for consumers to process payments because there are several options in the payment process. With a good product data processing or management system that is equipped with security, it will support the performance of the system.
An Analysis of An English Textbook “English in Mind Second Edition - Students’ Book 3” for The Tenth Grade of The Vocational High School Based on Ur’s Criteria

Abstract&#x0D; This research had an objective to find out whether the English textbook of technical vocational high school is suitable for Ur’s criteria. The method used in this research was a descriptive quantitative method. The object in this research was an English book at the Vocational High School (SMK) entitled English in Mind Second Edition – Student’s book 3. The data were analyzed by the instrument of this research namely a table checklist consisting of a good criteria of English textbook by Ur (1996). The findings showed that the textbook met the criteria by Ur (1996) with a score of 55. It means that this textbook has level of a fair textbook, so this textbook could be used for technical vocational high school. This textbook fulfilled 11 criteria of 20 criteria by Ur (1996). Meanwhile, 9 criteria were unavailable in the textbook. Therefore, it is a challenge for the teacher in using the textbook for English teaching and learning. The teacher should complete the unavailable criteria of textbook by adding the materials or media from others. Finally, the researcher suggests that this research can be references to find detailed information about this textbook by using other theories of textbook assessment.&#x0D; Keywords: English Textbook, Suitability, Ur’s criteria.
Translation of Culture-loaded Words and Cross-cultural Communication from the Perspective of Domestic Games

As the “ninth art”, video games carry the important responsibility of spreading national culture and values, and also represent the cultural symbols of each nation. The aim of this project is to give a reference to domestic games that go abroad in the future and help Chinese culture go out better. This thesis uses descriptive analysis and literature research methods to analyse the English translation of culture-loaded words in the Chinese game Genshin Impact from a cross-cultural perspective, and finds through the research that the English translation strategy of the game is mainly domestication, supplemented by foreinization.
Vocabulary Language Prediction (VLP) to Enhance Students' Reading Achievement in Narrative Text

Reading comprehension plays a vital role in entertaining and gaining some information. The teacher-researcher needs to do a pre-reading activity to scaffold students' reading comprehension in narrative text. VLP (Vocabulary, Language, Prediction) is an appropriate strategy to improve students' reading achievement by mastering vocabulary before the main reading activity. The students in grade X of SMK with low English reading achievement were taught English, especially reading comprehension in narrative text. Before the strategy was implemented, the average score was 41.1. Then, the Classroom Action Research was conducted, and the VLP strategy was applied. After implementing two cycles of CAR, the average score reached 77.8. It proves that by applying the VLP strategy, students can improve their reading comprehension. Students' motivation in learning English also increased as well as their self-confidence to express their thoughts in class discussions.
DERIVATIONAL AND INFLECTIONAL MORPHEMES IN ENGLISH AND JAVANESE

ABSTRACT This study is about the realization of derivational and inflectional morphemes in English and Javanese. The objectives of this study are to investigate the kinds of derivational and inflectional in English and Javanese short stories, how the English and Javanese words formed by derivational and inflectional, and to explain the realization of derivational and inflectional morphemes in English and Javanese. This study is designed in descriptive-qualitative research. The source of data is English and Javanese short stories namely 1) Oedipus Rex and Sangkuriang, 2) Beauty and the beast and Lutung Kasarung. The data of the study is the words of English and Javanese. The findings of the study showed that the word formation formed by derivational morpheme in English short stories were begun from Oedipus rex consisted of 11 noun formation, 1 verb formation, 2 adjective formation and 8 adverb formation. While, beauty and the beast consisted of 16 noun formation, 2 verb formation, 9 adjective formation, and 14 adverb formation. The total of derivational process in Oedipus Rex and beauty and the beast was 63 words (52%). The word formation formed by derivational morpheme in Javanese short stories were begun from Sangkuriang consisted of 17 noun formation, 16 verb formation, and 1 adverb formation. While, Lutung Kasarung had 3 noun formation, 16 verb formation, 1 adjective formation, and 4 adverb formation. The total of derivational process in sangkuriang and Lutung Kasarung was 58 words (48%). The word formation formed by inflectional morpheme in English short stories were begun from Oedipus Rex had 1 noun formation, 27 verb formation, and 2 adjective formation. While, Beauty and the Beast had 12 noun formation, 36 verb formation, and 14 adjective formation. The total was 92 words (100%). Javanese did not have inflectional process.
Risk Prediction Applied to Global Software Development using Machine Learning Methods

Software companies aim to develop high-quality software projects with the best global resources at the best cost.To achieve this global software development (GSD), an approach should be used which adopts work on projects across multiple distributed locations, and this is also known as distributed development.When companies attempt to implement GSD, they face numerous challenges owing to the nature of GSD and its differences from traditional methods.The objectives of this study were to identify the top software development factors that affect the overall success or failure of a software project using exploratory data analysis to find relationships between these factors, and to develop and compare risk prediction models that use machine learning classification techniques such as logistic regression, decision tree, random forest, support vector machine, K-nearest neighbors, and Naive Bayes.The findings of this study are as follows: in GSD, the top 18 factors influencing the software project are listed; and experiments show that the logistic regression and random forest models provide the best results, with an accuracy of 89% and 85%, respectively, and an area under the curve of 73% and 71%, respectively.
Peningkatan Prestasi Belajar Mata Pelajaran Bahasa Inggris melalui Penerapan Card Sort Learning

In the right learning method must be applied to maximize students' abilities during learning activities. This study aims to determine the improvement of learning achievement in English through the application of the card sort method. An action study (action research) was carried out on learning English material on Verb for 7th grade students of SMPN 2 Gempol, Gempol District, Pasuruan Regency, for the 2021/2022 Academic Year. Indicators The results showed that the percentage of mastery learning at the pre-cycle stage was 10.7%, in the first cycle it was 67.9%, and in the second cycle it reached 92.9%. The average score of student test results also experienced a significant increase, namely the pre-cycle stage was 58.8, the first cycle was 72.4, and in the second cycle it rose to 78.9. This means, through the application of card sort learning can improve student achievement in learning English Verb material.