Reviewerly/exHarmony huggingface dataset:
Increasing the Capacity of Teachers in the Learning Process with the use of Moodle-based Learning Media

Education is one aspect that is used as a forum to shape the character of the nation's children. Due to the presence of this pandemic, learning conditions have changed, this is not only happening at the national level but also internationally. The Covid-19 outbreak has forced the government to make policies that must be implemented. This changing learning pattern requires schools to be more adaptive in the changes that occur. Learning continues through online-based learning media or e-Learning which is defined as technology-based learning where learning materials are sent electronically to remote students using computer networks. Therefore, teachers hope and are expected to be able to follow the development of learning media that can be used in the current era. So our current target is SMAN 4 Depok teachers to be able to develop and utilize Moodle-based E-learning learning media. The implementation methods carried out are (1) conducting research on the potential of teachers in partner schools by filling out questionnaires, (2) making guidebooks, (3) Creating Moodle-based Online Learning, (4) training for teachers in partner schools and (5) conducting pretest and posttest in using Moodle. This objective was carried out to increase the capacity of teachers in training using technology and understanding in using Moodle as an alternative learning medium.
Prototipe Sistem Deteksi Kemacetan Jalan Raya Berbasis Internet Of Things (IoT)

Along with the progress of the times and technology is currently increasing the number of motorized vehicles on the highway. However, this increase in the number of motorized vehicles is not matched by an increase in road volume capacity, causing traffic congestion. The purpose of this study was to find out information about traffic conditions at highway intersections. This research is a prototype that describes a four-way intersection that has infrared sensors in each path. This infrared sensor is used as a vehicle detector. Tests on the prototype made various traffic conditions that are relevant to the actual situation. This research utilizes the concept of the Internet of things (IoT) prototype which is made to be connected to the internet network so that users can find out traffic conditions remotely and in real time. One of the information media used in this research is Twitter. The results of this study indicate that the prototype made can work well. The infrared sensor used can work optimally and can detect vehicles precisely at a sensitivity range of 4.5 cm. The average delay in sending notification tweets is 18 seconds.
Distance Education: Technology and Connectivity as Preventive Resources in the COVID-19 Pandemic at Public Higher Teacher Training Schools in Baja California Sur, Mexico

We shall present a descriptive, quantitative study with the purpose of analyzing the technological and connectivity resources that teachers had during the preventive period of COVID-19 in the year 2021.We analyzed the technological and connectivity resources at home; the resources, tools or strategies used by teachers, the platforms used to communicate, as well as the difficulties that students faced to be able to carry out distance education.A survey was applied to 225 teachers in the Public Teacher Training Schools in the state of Baja California Sur.We found that most of the teachers had connectivity (Internet) and computer equipment at home.The main technological resource used was the cellular phone and their main support was the Google Classroom platform.They communicated with their students through What-sApp; most of the students had lack of connectivity and access to equipment.
Actor-critic reinforcement learning for bidding in bilateral negotiation

Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is a conflict of interests.Instead of designing a hand-crafted decision-making module, this work proposes a novel bidding strategy adopting an actor-critic reinforcement learning approach, which learns what to offer in a bilateral negotiation.An entropy reinforcement learning framework called Soft Actor-Critic (SAC) is applied to the bidding problem, and a self-play approach is employed to train the model.Our model learns to produce the target utility of the coming offer based on previous offer exchanges and remaining time.Furthermore, an imitation learning approach called behavior cloning is adopted to speed up the learning process.Also, a novel reward function is introduced that does take not only the agent's own utility but also the opponent's utility at the end of the negotiation.The developed agent is empirically evaluated.Thus, a large number of negotiation sessions are run against a variety of opponents selected in different domains varying in size and opposition.The agent's performance is compared with its opponents and the performance of the baseline agents negotiating with the same opponents.The empirical results show that our agent successfully negotiates against challenging opponents in different negotiation scenarios without requiring any former information about the opponent or domain in advance.Furthermore, it achieves better results than the baseline agents regarding the received utility at the end of the successful negotiations.
Optimasi Proses Gasifikasi Menggunakan Logika Fuzzy Mamdani

This study aims to test the performance of fuzzy logic in the gasification process. Gasification is the process of converting solids into flammable gases. The gas produced becomes an alternative energy source, namely the Waste Power Plant (PLTSa). The research applies Mamdani's Fuzzy logic. Fuzzy logic was created using Matlab R2018b software. The results obtained indicate that the Mean Absolute Error (MAE) output of H2 on fuzzy logic training data is 6.57. The test results for CO fuzzy output MAE value of 1.12. The test results on CO2 MAE fuzzy are 1.18. In the CH4 test, the MAE fuzzy output is 0,84.
IEEE GRSS Mato Grosso do Sul (Brazil) Student Branch Chapter: 2020 Activities [Chapters]

The Federal University of Mato Grosso do Sul (UFMS) IEEE Geoscience and Remote Sensing Society (GRSS) Student Branch Chapter, also known as MS GRSS IEEE Student Chapter, is located in Mato Grosso do Sul State, Brazil. The Chapter represents a partnership of students and researchers from two labs: the Geomatics Lab at UFMS and the Inovisão Lab at Catholic Dom Bosco University (UCDB). The advisors are Prof. José Marcato Junior and Prof. Hemerson Pistori. The 2020 administrative organization is presented in <xref ref-type="fig" rid="fig1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Figure 1</xref> .
Problems and Prospectus of Mushroom Farming in Nepal

Mushroom farming is popular among farmers worldwide since consumers demand it as a vegetable and rich source of protein. Farming itself has been surrounded by various problems in Nepal, like countries worldwide. Based on primary data, it was revealed that open border was the main problem faced by Nepalese farmers to get reasonable price of mushrooms. 56.7 % of respondents opined that there is a market problem as well as poor technologies in the time of cultivation and harvesting of product. Forty-three percent of the respondents had a market problem but no poor technology. It can be explained as better technology used in the field of production. Total production starts to increase and may not have a market problem. Seventy-five percent of the farmers believed there was no adequate fund or irrigation facility. High cost and middle man problems were felt by 90 percent of farmers. There was a labour problem and a lack of training. Only 20 % have training in this farming. These two variables were statistically significant. P-Value is less than .05 &gt; .002 show their association. 90 % of the farmer has an open border, which is the cause of a decrease in mushroom farming. These variables are statistically significant. P-Value is less than .05 &gt; .03, representing a close relationship between these problems. Eliminating such problems may open the door to more investment, employment and income in the national economy.
Economic Empowerment of Young People with Disabilities from Micro-enterprise Access in Iraq

The economic empowerment of young people with disabilities from microenterprise access in Iraq is the creation of conditions and requirements and the removal of all obstacles for persons with disabilities, in particular the youth group, to enter economic life, in particular enterprises that employ (1) to ( 9) workers.The main social challenges to the economic empowerment of young people with disabilities are low awareness.The dependence of people with disabilities themselves, the intervention of intruders, the absence of economic planning and weak economic feasibility studies, the financial crisis, the difficulty of financing, discouraged subsidies and mock employment are the main economic challenges to the economic empowerment of this group.Therefore, the Iraqi legislature must adopt a government programme and make full plans to convince persons with disabilities and their families of the importance of work and production in society.It is essential to confront retrograde ideas by raising awareness of the ability and potential of the children of this group to work, create and produce by adopting a genuine economic plan that takes into account the reduction of unemployment rates among persons with disabilities by placing them in small enterprises.
Dimension of the Universe

In his first paper on Gravity’s Extreme Weakness problem author suggested solution of the problem via Higher Dimensions and Harmonic series and provided the first numerical results supporting this approach. The present paper demonstrates how Motley String Theory (MST) solves Gravity’s Extreme Weakness problem via Higher Dimensions and Harmonic series. In doing so we establish the intimate link between Newton’s Gravity constant NG and Euler’s Gamma γ constant, which together define true dimension of our Universe. The amazing link between our Universe Dimension and fundamental Physical and Mathematical constants may be seen as the most direct demonstration so far that the MST is our Unique Theory of Everything (ToE)!
STUDENTS’ SPEAKING ANXIETY IN BASIC SPOKEN ENGLISH

This study aimed to describe about the factors that caused students’ speaking anxiety and the students’ strategies to reduce the anxiety in basic spoken English class. The participants of the study were 18 students who took basic spoken English class in the first semester. The method used in this study was descriptive qualitative. The data were obtained from interviews and observation. The findings revealed that the students’ speaking anxiety in basic spoken English was derived from some factors provoked by both internal and external matters. The first factor was type of task. The task became something that causes anxiety if the students’ were asked to present the activities in front of the class. The second was fear of making mistakes. All the students felt the same thing about their anxious feeling when they made mistakes. The third was the role of language teachers. It was related to how teachers create a classroom atmosphere that was suitable for the teaching and learning process. The fourth factor was self-perception, self-perception in this context is a perception that causes a negative effect on students. The last factor was limited exposure to English. Limited exposure to English in their environment impedes the development of their communicative proficiency. The results of this study also found that there were good strategies which they applied to reduce anxiety. The first was the preparation before learning English, it helped students to feel better because they had material that they could use for the learning. The second strategy was positive thinking. Positive thinking as a psychological factor was needed to cope the language anxiety and to lose a fear of being anxiety in the classroom. The last strategy that they used was peer seeking. It was often done by the students. The students liked to ask a friend if there was something that they did not understand
STUDENTS’ PERCEPTION IN USING HOT POTATOES AS A MEDIA OF VOCABULARY TEST AT SMKN 2 PALANGKA RAYA

This research aims to investigate the students’ perception of using Hot Potatoes software as the media of vocabulary test at SMKN 2 Palangka Raya, Indonesia. It was qualitative research with five participating students as the participants from grade X OTKP 3. An in-depth semi-structured interview was applied as the data collection technique. The theme-based analysis was used in this study. The finding shows that the students give a positive response to the use of Hot Potatoes. Students’ perceptions while learning using Hot Potatoes are; first, Hot Potatoes is more practical for a vocabulary test. Second, the game can attract the students’ attention to the test. Third, it helps the students to be more motivated in the classroom. This study implies that the use of Hot Potatoes at the tenth grade students in SMKN 2 Palangka Raya can be an alternative for teachers to teach vocabulary and provide fun learning activities for the students.
English Language Imperative Level in Indonesia

In general, a language is a tool for communication that every people use, and as we know there are many languages especially in Indonesia. It is a regional or local language that people use for their daily activities with their family or with their local people, Indonesian language is an official language that people use on, the daily activities in formal places or with work partners. Indonesia's government has already made some regular or policy to manage language use also the regulation about English as a foreign language. But the use of the English language is not optimal especially in the world of education even though English has become the lingua franca in the world. For such a stance, the writer has no goal to blame any culture nor suggests that English culture is not meant to be learned. The writer concerns more with the idea that in learning English, the culture of learners is more urgent than English culture since the use of English is around peer communication. The awareness of English as an International language and as a language of science is responded with mandatory English teaching in Junior High school to the varsity level. However, with the status as a foreign language, English is occasionally used outside the classroom. Even during the class, instead of speaking English, the Indonesian students tend to speak in Bahasa Indonesia (Indonesian Language) or their local language. For that, the writer gives some proposed solutions after analyzing some literature, The writer used the Systematic Literature Review framework from (Okoli, 2015) to perform this review of the literature
DEVELOPING ENGLISH LEARNING MODULE THROUGH COMMUNICATIVE LANGUAGE TEACHING (CLT) APPROACH FOR ECONOMICS EDUCATION STUDENTS

The goal of this research is to create a Communicative Language Teaching based module for Economic Education Department Students of STKIP Muhammadiyah Sampit. The research was carried out in an R&amp;D manner. The data was gathered using questionnaires and documents. The participant of this research was First semester students of Economic Education of STKIP Muhammadiyah Sampit. The researcher Yalden’s model when creating the module that are needs analysis, development, validation and revision, testing, and final revision. A thematic analysis of the qualitative data was performed. According to the findings of the need analysis stage, students need a module to help them mastering English for Economic Education. As a consequence of analysis, the researcher will design and build the materials. The researcher must validate the product before it can be made available to end customers. Finally, the study's findings demonstrate that the modul provided to Economic Education students at STKIP Muhammadiyah Sampit meets their educational needs.
COMPARING USBILITY SATISFACTION OF GOOGLE MEET AND ZOOM MEETING APPLICATION: CUSTOMER SATISFACTION INDEX AND GAP ANALYSIS CASE STUDY AT K UNIVERSITY

With the policy of learning from home, the role of information technology become more important. The use of technology in online learning can provide new learning experiences for students. There are several online learning application platforms available and the most popular platforms are Zoom Meeting application and Google Meet. In using the online learning platform, usability aspect is one the most important things. Usability is a measure of the quality of the user experience when interacting with the user-operated device application with the perceived expectations. The purpose of this study is to compare usability satisfaction of Google Meet and Zoom Meeting application using Customer Satisfaction Index (CSI) and GAP analysis. The Customer Satisfaction Index is measured from the five usability aspects of learnability, efficiency, memorability, errors, and satisfaction. Meanwhile, the GAP Analysis is measured based on the perception and expectations of the user of Google Meet and Zoom Meeting application. The result shows that Google Meet has a higher level of usability satisfaction compared to Zoom Meeting application. Google Meet has a usability satisfaction level of 84.29%, meanwhile Zoom Meeting has a usability satisfaction level of 76.67%. The results of GAP analysis on both platforms show that the users made a lot of errors when using Google Meet and find it difficult when using Zoom Meeting application for the first time.
Handling heterogeneous workflows in the Cloud while enhancing optimizations and performance

The goal of a workflow engine is to facilitate the writing, the deploying, and the execution of a scientific workflow (i.e., graph of coarse-grain and heterogeneous tasks) on distributed infrastructures. With the democratization of the Cloud paradigm, many workflow engines of the state of the art offer a way to execute workflows on distant data centers by using the Infrastructure-as-a-Service (IaaS) or the Function-as-a-Service (FaaS) services of Cloud providers. Hence, workflow engines can take advantage of the (presumably) infinite resources and the economical model of the Cloud. However, two important limitations lie in this vision of Cloud-oriented workflow engines. First, by using existing services of Cloud providers, and by managing the workflows at the user side, the Cloud providers are unaware of both the workflows and their user needs, and cannot apply specific resource optimizations to their infrastructure. Second, for the same reasons, handling the heterogeneity of tasks (different operating systems) in workflows necessarily degrades either the transparency for the users (who must provision different types of resources), or the completion time performance of the workflows, because of the stacking of virtualization layers. In this paper, we tackle these two limitations by presenting a new Cloud service dedicated to scientific workflows. Unlike existing workflow engines, this service is deployed and managed by the Cloud providers, and enables specific resource optimizations and offers a better control of the heterogeneity of the workflows. We evaluate our new service in comparison to Argo, a well-known workflow engine of the literature based on FaaS services. This evaluation was made on a real distributed experimental platform with a realistic and complex scenario.
Exploring Unsupervised Pretraining Objectives for Machine Translation

Unsupervised cross-lingual pretraining has achieved strong results in neural machine translation (NMT), by drastically reducing the need for large parallel data. Most approaches adapt masked-language modeling (MLM) to sequence-to-sequence architectures, by masking parts of the input and reconstructing them in the decoder. In this work, we systematically compare masking with alternative objectives that produce inputs resembling real (full) sentences, by reordering and replacing words based on their context. We pretrain models with different methods on English$\leftrightarrow$German, English$\leftrightarrow$Nepali and English$\leftrightarrow$Sinhala monolingual data, and evaluate them on NMT. In (semi-) supervised NMT, varying the pretraining objective leads to surprisingly small differences in the finetuned performance, whereas unsupervised NMT is much more sensitive to it. To understand these results, we thoroughly study the pretrained models using a series of probes and verify that they encode and use information in different ways. We conclude that finetuning on parallel data is mostly sensitive to few properties that are shared by most models, such as a strong decoder, in contrast to unsupervised NMT that also requires models with strong cross-lingual abilities.
DERIVING THE EXACT FORMULA FOR PERIMETER OF AN ELLIPSE USING COORDINATE TRANSFORMATION

The ellipse can be transformed into a circle by dilating the coordinates of the ellipse relative to the x-axis and y-axis. Therefore, this study aimed to derive the formula for the equation of the perimeter of an ellipse by using the transformation of an ellipse to a circle. This transformation was arranged so that the perimeter of the ellipse was equal to the perimeter of the circle. The type of research was in the review of books, articles, and relevant research reports. The results showed that the ellipse can be transformed into a circle while maintaining its perimeter. So, the perimeter of the ellipse was the same as the perimeter of the circle.
PEMBERIAN PRIORITAS PENAMBAHAN GURU SEKOLAH MENENGAH ATAS DI KABUPATEN MAGETAN DENGAN METODE WEIGHTED SUM MODEL

Education is one thing that is very mandatory for citizens, especially Indonesia. Apart from clothing, food, shelter, and health, which are other basic needs, education is no less important. The number of teachers is too few to cater for the large number of students, so more teachers are needed. This study aims to give priority to the addition of public high school teachers in Magetan Regency with the Weighted Sum Model method. This research is only limited to being done with a Decision Support System using the Weighted Sum Model method. This research was conducted by collecting data on state high schools in Magetan Regency, East Java Province which was used as an alternative data system and then designing applications using the php and mysql programming languages. This research produces a web- based Expert System Application that implements a Decision Support System with the Weighted Sum Model method. From testing the functionality of the system, the improvement of public high school teachers in Mageten Regency by utilizing the Weighted Sum Model method has succeeded well by 100.