Reviewerly/exHarmony huggingface dataset:
Analysing the Speaking and Writing Competence of an Indonesian Student in the USA: A Case Study

This case study is aimed to examine the communicative competence of an Indonesian student who is studying in one of the United States Universities. The evaluation of the communicative competence, such as speaking and writing, was based on the theory of Communicative Competence (CC) proposed by Celce-Murcia (2008). The spoken and written data given were from the IELTS test format. The spoken data was collected by face-to-face interview through the Skype application, while the written data was collected by sending the participant two models of the IELTS writing test, Academic and General Training model tests, through email. These data were analysed by transcribing the interview and written word-processed. It was found that the participant demonstrated strengths as well as limitation in communicative competence. It is suggested for the participant to take the opportunity to communicate with the native speakers as much as possible while he is staying in the United States.&#x0D; &#x0D; Keywords: Communicative Competence (CC), Speaking, Writing
Students’ View of the Use of TELL (Technology Enhanced Language Learning) in Remote Teaching

Technology in language teaching has been one of the most pivotal aspects in English Language Teaching (ELT) for decades.Many studies reveal considerable benefits of utilizing ICT in the teaching and learning process, especially when conducting remote teaching.This study focuses on analyzing students' descriptions about their experiences in emergency remote teaching and the opportunities and challenges for learning granted due to the transition to emergency remote teaching.This study deployed a descriptive qualitative method that involved 72 students of Polytechnic Negeri Jember who have experienced remote teaching for more than a year.The data were collected by using an open-ended questionnaire.The questionnaires were distributed using Google Form.The results showed that the students were able to be more adaptive with any kinds of applications required by their lecturers and it encouraged them to explore more platforms to support their independent learning.They also mentioned that their knowledge and awareness of digital ethics also increase.However, boredom, short-term concentration, weariness, gadget compatibility become a serious thread for remote teaching to be successful.In short, remote teaching provides a positive impact and challenges for students.To minimize the thread, more TELL-based teaching models and strategies, such as flipped classrooms, cooperative learning, and project-based learning are suggested.
Rainfall Prediction Using Fuzzy Time Series

Flood is one of the problems faced by DKI Jakarta Province. To be able to reduce losses caused by flooding is to predict rainfall. The type of research is quantitative research using rainfall prediction method using Fuzzy Time Series (FTS) which was developed by Stevenson &amp; Porter (2009). The data used is rainfall data at Kemayoran Station in the period January 2018 to December 2020. The prediction accuracy results state that the FTS method has poor accuracy so that improvements are needed in the formation of interval intervals.
Building a More Robust Qualitative Methodology in the Study of Digital Communities in Virtual Worlds: Revisiting the Case Study Approach

This paper addresses methodological challenges of research in the increasingly complex arena of virtual worlds and virtual reality. Case studies can be a valuable research tool, yet traditional approaches do not take into consideration the nuances of virtual experiences. Addressing what appears to be a growing body of evidence that points to a lack of rigor in research methodology in this field, specifically as evidenced by inconsistent research methods and analysis, this paper proposes an adaptation of the traditional multi￾method qualitative case study method to address the affordances of virtual worlds and VR. It extends Yin’s (2009) traditional sources of evidence necessary to create a robust case study to virtual environments including digital/virtual forms of: documents, archival records, interviews, direct observation, participant￾observation, and physical artifacts.
Comparison and Analysis of Rainfall Spatial Patterns IMERG (Integrated Multi-Satellite Retrievals for GPM) Data and Observation Data on Bali Province

Limitations of observational data such as insufficient data length, incomplete, and uneven station distribution make it difficult to analyze and predict rain, so it requires supporting instruments such as satellites to provide a better and broader picture of rainfall distribution. However, it is necessary to test the accuracy of satellite data because the resolution and conditions of each region are different. This research aims to validate IMERG rain data against observation data in the 2015 El Nino period using observation rainfall data from BMKG Negara and IMERG data from GPM satellite at 12 rain points in Bali Province. The analytical method used is quantitative statistics, the calculation of errors and correlations and the comparison of the spatial pattern of the two data. The results of the analysis of the spatial pattern of the IMERG data show that, there was a decrease in rainfall from May to July, but the rainfall increased into August, and again experienced a decline entering the months of September to December where the same pattern was also shown from the results of the spatial pattern analysis on the Observation data. The decrease in rainfall in the May-December 2015 period was a strong El Nino effect as evidenced by the results of the correlation analysis of the SOI index on rainfall which showed a fairly strong correlation value, namely 0.55.The validation of IMERG data on monthly observation data showed that the average correlation was sufficient strong is 0.42 and analysis per rain post shows a weak correlation namely 0.31, which means that data IMERG is not yet accurate as an alternative to the observation rainfall data in Bali Province.
Pengembangan Website Marketplace Binatang Peliharaan dengan Fitur Lelang Menggunakan Metode Rapid Application Development

Through marketplace website, someone can open a business using relatively low capital without the need to open physical store. The benefit using marketplace website is wider market range so that able to get customers easily. On the other hand, pet lovers often feel difficulties to buy a pet. Moreover, rare pets are traded using higher bargaining price between sellers and buyers. This causes difficulties to find mutually beneficial price on both sides. In this research is developed marketplace website to sell pets, which is equipped with auction feature. Via this auction feature will facilitate sellers and buyers to find beneficial dealling price. This website is developed using Rapid Application Development method which prioritizes the speed of application development. The features of this marketplace website are depicted using Unified Modelling Language (UML). From the testing result, it can be seen that buying and selling features can simplify sellers to market their products. Auction feature also can run automatically on certain determined deadline to find best bidding price from buyer
Forecasting Model of Staple Food Prices Using Support Vector Regression with Optimized Parameters

The large number of Indonesians who consume rice as their primary food makes rice price a benchmark for determining the other staple food prices. The instability of rice prices due to climate change or other uncontrollable factors makes it difficult for Indonesians to estimate the rice prices, especially for the poor. This study proposes the usage of the Improved Crow Search Algorithm (ICSA) to optimize the Support Vector Regression (SVR) parameter in building a regression model to predict the price of staple foods. The forecasting process is carried out based on time series data of 11 staples for four years. The proposed ICSA optimizes the six parameters used in the SVR to form a regression model, consisting of lambda, epsilon, sigma, learning rate, soft margin constant, and the number of iterations. Algorithm performance is measured using MAPE and NRMSE by comparing the actual price of staple foods and forecasting results to get the error rate. With this parameter optimization mechanism, the forecasting results given are good enough with a small error value, in the form of MAPE of 17.081 and NRMSE of 1.594. A MAPE value between 10 and 20 indicates that the forecasting result is acceptable, while an NRMSE value of less than 10 indicates that the forecasting accuracy is excellent. The improvised technique on Crow Search Algorithm is proven to improve the performance of Support Vector Regression in forecasting the price of staple foods.
Kecerdasan Emosi dan Dukungan Sosial terhadap Kesiapan Ibu dalam Mengatasi Kecemasan Melahirkan Anak

Anxiety conditions in pregnant women with their first child are very important to consider in the face of birth. Anxiety is strongly influenced by internal and external factors. This study aims to determine the role of emotional intelligence, social support and age on anxiety. The method used in this study is a quantitative method for 71 pregnant women with their first child. Pregnant women studied were found at Awalbros Hospital in Pekanbaru City. Gestational age ranges from 27 to 40 weeks. The measuring instrument used in this research is the emotional intelligence, social support and anxiety scale variables. The study also involved a control variable, namely the age of pregnant women. The data was processed using regression analysis with the help of Personal Computer (PC) and Statistical Product and Service Solutions (SPPS) software version 16.00 for windows. The results showed that emotional intelligence and social support played a positive and significant role on anxiety with the F value being 23,542 and p being 0.001 (p&lt;0.05); emotional intelligence and social support as well as age as control variables have a positive and significant role on anxiety with F value is 18,883 and p is 0,001 (p&lt;0,05); the contribution of the predictor variables together is 45.8% to the criterion variable; and the contribution of the control variable to anxiety is 4.9%. Research is very helpful for pregnant women with their first child in following up on the effect of anxiety on emotional intelligence and social support. So this research is very helpful for pregnant women with their first child in facing birth.
A Modified Residual Network Based on Multi-scale Segmentation for Aerobics Motion Image Recognition

&lt;p&gt;Image recognition is an important field in artificial intelligence, it makes use of the computer to conduct image processing, analysis and understanding to recognize a variety of different objects. And it uses a series of enhancement and reconstruction methods to effectively improve the image quality. Traditional deep Convolutional Neural Network (DCNN) not only improves the recognition accuracy, but also reduces the recognition speed. How to improve the speed while maintaining the accuracy has become an important direction in image recognition. In this paper, we propose a modified Residual network based on multi-scale segmentation for aerobics motion image recognition. The new residual network has the characteristics of shorter network length and faster recognition speed. First, it reduces the length of the network and gets a new residual network with seven layers. Then, combining with the multi-scale segmentation method, an image recognition residual network is obtained. Finally, experiments on the CIFAR10 dataset, the results show that the proposed new motion image recognition method has better recognition accuracy and faster recognition speed.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
PENGARUH PENGGUNAAN MEDIA FILM TERHADAP KEMAMPUAN MENULIS TEKS DESKRIPSI SISWA KELAS VII SMP AL-AZHAR MEDAN

This study aims to determine the effect of using film media on the ability to write descriptive text of class VII SMP Al-Azhar Medan. The population of this study amounted to 103 students of SMP Al-Azhar Medan. Samples were taken randomly, namely the experimental class of 32 students. The method used in this study is an experimental one-group pre-test post-test design method. The instrument used to collect data is an essay test. Hypothesis testing is done by using the "t" test. From the data obtained, it shows that the students' ability to write descriptive texts before using film media is included in the sufficient category with the average score (mean) obtained by students is 65.87, while the students ability to write descriptive texts after using film media is included in the good category with the average value (mean) obtained by students is 75.90. Furthermore, hypothesis testing shows tcount (3.47) ttable (2.04) at a significant level = 0.05. Thus Ho is rejected and Ha is accepted, meaning that there is an influence of film media on the ability to write descriptive texts for seventh grade students of SMP Al-Azhar Medan. This shows that the results of learning to write descriptive text after using film media are better than learning outcomes before using film media, and the learning process after using film media has a positive effect on the ability to write descriptive text.
Yet More Insights on the Petrogeophysics of Pre-salt Rocks from Brazil

The Pre-salt exploration revealed some world class giant fields, with relatively light oil, with variable amounts of CO2.Production reports for the Pre-salt justify the importance of this oil province not only for Brazil, but also for the international oil market.In this paper we intend to update some of our insights regarding the petro elastic behavior of the rocks from Pre-salt Santos Basin, with legacy and new, unpublished data.We show some examples of the effect of composition on the elastic-wave velocities of reservoir rocks and the application of different rock physics models for rock samples and well logs.
Informational harmoniums

In this paper we introduce a type of harmoniums that uses only computations in the domain of information without resorting to probabilities. Starting from the probabilistic description of binary harmoniums---or Restricted Boltzmann Machines (RBMs)---we use the shifted R\'enyi information function to obtain a description of harmoniums, hence called informational harmoniums, in terms of some information semifields recently described where the harmonium architecture is concisely expressed by a matrix whose origin and range spaces of visible inputs and hidden units are semi-vector spaces. \\On the one hand, inference in an informational harmonium is expressed in terms of vector-matrix operations in information semi-vector spaces. Taking the extreme values of the R\'enyi parameter in the information semifields we obtain the min-plus semifield and the operation of the harmoniums becomes additively-idempotent. This leads into one of four possible different forms types of Galois connections between the input and output spaces. In this extreme case, we discuss the representation spaces of the input and hidden nodes of informational harmoniums in terms of a variant of formal concept analysis. \\On the other hand, learning resembles a process akin to hetero-associative morphological memory construction in a non-idempotent semifield, unless again the value of the R\'enyi parameter is extremized. In this situation we derive formulas where negative loglikelihood minimisation of training data are carried out algebraically without resorting to derivatives.
Factors Affecting the Utilization of the Graduate Library Resources of the Leyte Normal University (LNU)

&#x0D; &#x0D; &#x0D; &#x0D; This study delved into the factors that affect the utilization of the graduate school library resources by the graduate students during the academic year 2018 and 2019. The conceptual a conceptual analysis was used as its design and the feedback provided by the students placed in the feedback box served as the data source. Results of the findings showed that updated, current, and relevant library materials, fast and easy internet connection, e-books, and other electronic resources that are accessible at home, conducive space for reading (spacious and well ventilated), updated Library System/ OPAC, friendly, accommodating, and competent library staff, availability of other relevant, accurate information for research, and more theses and dissertations are among the factors that affect the utilization of the resources piled in the library. Taking things holistically, data from this finding maybe utilized as baseline data to further improve the services of the library.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Students Perspective Towards Writing Descriptive Text On Instagram Post

Using "Instagram" as a learning medium is an easy way to help students learn descriptive text. This research is limited on perspective of students in writing descriptive text on instagram. The research is applied to one class of XI IPA1 with the number of students as many as 7 students in SMA Negeri 1 Linggang Bigung, Kutai Barat. from the result of pre research from XI IPA 1 there is 7 students who makes a descriptive text caption on Instagram post. In this research the researchers employ a qualitative approach in this research qualitative data collecting in this research. The research instrument is an interview (in-depth interview). The theory triangulation technique is carried out in testing the validity of the data using more than one perspective in discussing the problem research, so that they can be analyzed and more complete can be drawn comprehensive conclusions.&#x0D; Keywords: students perspective, writing, descriptive text, Instagram, caption
Protagonização do enfermeiro na segurança do paciente com cateter vascular central na unidade de terapia intensiva

This is bibliographical research with a qualitative approach and descriptive character, which has as object of study the nurse working in the ICU, which aimed to identify the possible strategies used by nurses in the prevention and control of infections related to the central vascular catheter in the ICU. As a methodology, articles published in a virtual database were used. For this purpose, the Virtual Health Library database platform was used, in the LILACS, BDENF, MEDLINE and SciELO databases, with a time frame from 2008 to 2018. The morbidity and mortality rate related to disability in the management of CVC is worrisome due to the non-adoption of infection prevention and control strategies. Regarding patient safety, it is essential that there is a continuous assessment of the implementation, to identify whether the strategies were sufficient for professionals to assimilate the content of the protocols for patient safety. It is concluded that nurses need to master theoretical-scientific knowledge and technical skills in handling the CVC to provide patient safety, taking care to put into practice the strategies shown as possible means of preventing and controlling infections.
Study on Language Deep Learning by DDL under the Circumstances of A.I.

Artificial intelligence (AI) improves the progress of educational concepts, accelerates the educational reformation, promotes the development of educational technology, changes the teaching and learning methods.In the field of second language acquisition, data-driven learning contributes to the language deep learning because it focus on the process of learning and pays attention to learners' intuition and reflection.Based on Chinese and Korean learners' written corpus, this study applies the three-step procedure of "identify, classify and generalize" to analyze the similarities and differences among Chinese, Korean learners and native speakers on the use of high-frequency words, key words and collocation.It aims to draw attention to learners' cognitive process and improve learners' language normality.
Implementasi Load Balancing Dengan Metode Peer Connection Classifier Pada Cabang PT. Astra Credit Companies

The need for an internet network today is very important along with the development and progress of increasingly sophisticated data communications. With uses such as searching for information, the need to upload and download documents from the internet, and participate in video conferences. This causes internet connection traffic to increase, and this will be very disturbing for those who have a small bandwidth network and can cause the internet connection to be disconnected. One way to maintain the quality or quality of internet connectivity is to maintain a balance of traffic and bandwidth savings by dividing the load evenly into several links or paths using the Per Connection Classifier (PCC) method through load balancing techniques. Based on the research that has been done, the traffic load obtained becomes smoother without any accumulation of data.
Grammatical Errors on BIPA Students (Indonesian Language for Foreign Speakers) in Writing Practice for Beginner Level

Writing skill is one of the active language skills that is important in expressing ideas, thoughts, and feelings.Writing is also a difficult thing for BIPA students, especially for beginners with academic goals.The Indonesian language has the standard Indonesian grammar that BIPA students should understand with the process that is not relatively easy.In general, the BIPA students experienced several errors repeatedly in writing, such as word choices, sentence structures, affixes, and word mixing.In fact, most of their issues are in affixes.The students get confused when the affix of memeets the base verb, for instance: (me-)+pukul will be menpukul or (me-)+makan will be memakan.This study will analyze some examples of errors more profound in the final exam from BIPA students in the beginner class.Most of them are from Thailand, Egypt, France, and Timor Leste.Their backgrounds are from undergraduate students to doctoral students who are interested in learning Indonesian studies in their country or planning to study in some universities in Indonesia.
How large can a receptive vocabulary be?

Studies of vocabulary size based on dictionary sampling have faced several methodological problems. These problems occur in trying to answer the following three questions: (I) How do we decide what to count as words? (2) How do we choose what words to test? (3) How do we test the chosen words? The present study attempts to overcome these problems and checks in several ways to see if the problems have been overcome. The results indicate that what were previously thought of as conservative estimates of vocabulary size are likely to be the most accurate. These estimates suggest that well-educated adult native speakers of English have a vocabulary of around 17,000 base words. This represents an acquisition rate of around two to three words per day. © 1990 Oxford University Press.
Prediksi Klasemen Akhir English Premier League Untuk Keputusan Penanaman Modal Dengan Metode Distribusi Poisson

Nowadays, people often talk about machine learning, it is a technique which gives a system a skill to learn and develop automatically based on the experience in the past. With machine learning, it hopes could help the decission making process to decide the result of English Premiere Leauge' final standigs. In this research, the researcher will develop a machine learning using Poisson Distribution Method, which is a distribution of random variables (x) which refer to the number of experimental results that occur in a certain time interval or in a certain area. By predicting the final results of the standings, the researcher hopes that the result could show which club who has promising prospect that could be a reference for capital investment.