Reviewerly/exHarmony huggingface dataset:
An Analysis of Students’ Speaking Anxiety in English Classroom at SMAN 2 Siak Hulu

Many foreign language students are apprehensive about learning a new language in a certain situation. When they are asked to express their thoughts in front of their peers and lecturers, they appear to become more anxious. Then, when they talk in English, they never feel completely at ease. Consequently, the aim of this research is to determine the level of student speaking anxiety and to determine the dominant type of anxiety that occurs in English classroom. This research was conducted by using descriptive quantitative study. The research participants were the third-grade students of SMAN 2 Siak Hulu of academic year 2020/2021. The total of students was 34 students. Then, the researchers obtained the data through questionnaires. The result of this research showed that most experienced level of speaking anxiety in the third-grade students was Mildly Anxious. Additionally, based on FLCAS, there are 3 types of speaking anxiety students experienced in the classroom was negative evaluation, followed by test anxiety and communication apprehension. In this case, the researchers found that “Communication Apprehension” was the main factor causing around 27 (79%) students to feel nervous, followed by 23 (68% students with “Fear of Negative Evaluation” factors, and the lowest factor for 22 (65%) students was “Test Anxiety”. Therefore, the third-grade students of SMAN2 Siak Hulu were categorized at the Mildly Anxious level of speaking anxiety in the English classroom.
An Analysis Reading Difficulties of Narrative Text in Online Learning at the Tenth Grade Students of SMKN 4 Jambi in Academic Years 2019/2020

Reading is the process of receiving interpreting information in language from via the medium of print. The purpose of this research is to analysis reading difficulties of narrative text in online learning by using Edmodo. The objective of this research is to identify the students’ difficulties. The research conducted at SMK N 4 Jambi in academic years 2019/2020. The population of this research is tenth grade students of fashion class II. Type of the research is qualitative the data were obtained by using online interview. Overall, the result of this research is most of the students have difficulties in understanding narrative text by using Edmodo application which the students argued that the explanation of the generic structure, language feature, finding main idea of the narrative text and students’ vocabularies are limited. But the difficulties could be solved by Edmodo communication tools which the teacher and all students could make the discussion about their difficulties, especially in learning reading narrative text.Keywords: Reading difficulties, Narrative text, Online Learning.
Contingent Planning for Robust Multi-Agent Path Finding

A classical approach to Multi-agent Path Finding assumes an offline construction of collision-free paths that the agents blindly follow during execution. k-robust plans can be executed without collisions even if an agent is delayed for at most k steps. In the paper, we propose a novel concept of robustness that uses alternative paths to which the agents are diverted in case of delay. Such plans can be found with much higher chances than k-robust plans.
Learning Anxiety and Parenting Pattern on Learning Achievement

&#x0D; &#x0D; &#x0D; &#x0D; The purpose of this study was to determine the effect of learning anxiety and parenting patterns on student achievement. This research is an ex post facto research conducted at SMP Negeri 3 Kolaka in class VIII. The population referred to in this study is the entire class VIII with a total of 68 students. The sample used in the study is a saturated sample. This research data was collected using a questionnaire technique to investigate learning anxiety and parenting patterns and using documentation to collect data on mathematics learning achievement taken from the grade VIII student report cards of SMP Negeri 3 Kolaka in the even semester. The conclusion obtained is that there is an effect of learning anxiety and parenting patterns simultaneously on the mathematics learning achievement of eighth grade students of SMP Negeri 3 with the contribution level of learning anxiety and parenting patterns on students' mathematics learning achievement of 1.61%.&#x0D; &#x0D; &#x0D; &#x0D;
SENTIMENT ANALYSIS OF CUSTOMER REVIEWS

Sentiment analysis is a process in which we classify text data as positive, negative, or neutral or into some other category, which helps understand the sentiment behind the data. Mainly machine learning and natural language processing methods are combined in this process. One can find customer sentiment in reviews, tweets, comments, etc. A company needs to evaluate the sentiment behind the reviews of its product. Customer sentiment can be a valuable asset to the company. This ultimately helps the company make better decisions regarding its product marketing and improving product quality. This paper focuses on the sentiment analysis of customer reviews from Amazon. The reviews contain textual feedback along with a rating system. The aim is to build a supervised machine learning model to classify the review as positive or negative. As reviews are in the text format, there is a need to vectorize the text to numerical format for the computer to process the data. To do this, we use the Bag-of-words model and the TF-IDF (Term Frequency-Inverse Document Frequency) model. These two models are related to each other, and the aim is to find which model performs better in our case. The problem in our case is a binary classification problem; the logistic regression algorithm is used. Finally, the performance of the model is calculated using a metric called the F1 score.
The Students' Mastery of Modal Auxiliary at the Second Year of SMP Negeri 5 Malangke

This research aims to determine the students’ mastery in using modal auxiliary at second grade of SMP Negeri 5 Malangke. This research applied descriptive quantitative method as the research design. the population of this research is class XII of SMP Negeri 5 Malangke. This research used all the students at the second grade of SMP Negeri 5 Malangke as the population of this research. The total number of population from this research is 125 and the total sample of this research is 20 students. The researcher uses purposive sampling as the technique in determining the sample. This research used test as a instrument of this research. The results of this research indicated that the students’ mastery in using modal auxiliary at second grades of SMP Negeri 5 Malangke is still low. It can be proven from the average of this research. The average of this research is 40, it means that almost the students have low mastery in vocabulary. Therefore, the researcher concluded that the students’ mastery in using modal auxiliary at second grades of SMP Negeri 5 Malangke is poor.
Experiences of Library Professionals on DSpace Installation

DSpace, a free and open-source software (FOSS) provides the digital platform for building collections of an institution. Due to the lack of the skills to install and configure DSpace, librarians are incapable to conduct it even after the awareness about it. Identifying challenges about DSpace installation is vital to increase its use by librarians. Hence, it aims to explore the understanding of DSpace installation among librarians and to identify aspects of their experiences and feelings while installing DSpace. Librarians' experiences and feelings are important for accepting the software. Librarians were interviewed during the training program conducted on digital library technology from December 2020 to January 2021. Two groups were distinguishing from each other: one is with a library science background and another is with computer science and engineering background. The second group aswas self-sustained to install DSpace, once they got the guidelines for installation. Their views were reflected with the code terms status, exploration, feeling, activities, preferences, and inadequacy. Through their experiences, the aspects of challenges are the less experience of using the command line in computer use, the unavailability of teaching courses on Linux operating system in Library and Information Science (LIS) education, and the lack of self-exploration habits. Practice to Linux commands, incorporate the Linux in the Library Science course, self-exploration, and consistent effort will help librarians in installing DSpace by themselves. Finally, librarians should internalize their goal to act as the administrator for the DSpace, not only as of the operator.
THE EFFECT OF WEBBING STRATEGY TO IMPROVE THE STUDENTS’ READING COMPREHENSION

This study was conducted to find out the effect of using webbing strategy on the students’ reading comprehension. The objective of the study was to find out whether any significant effect of using webbing strategy on the students’ reading comprehension at the tenth grade of MAS Muhammadiyah Sei Apung Jaya. The method of this research was quantitatitave research. This quantitative research used quasi-experimental design. The population of the study was the tenth grade of MAS Muhammadiyah Sei Apung Jaya which consisted of 56 students. While, the sample of this research was consisted of experimental group and controlled group, each group consisted of 28 students. The experimental group taught by using webbing strategy, while the controlled group without webbing strategy. The instrument of collecting data was tests (pre-test and post-test) and doccumentation. The data were analysed used preliminary tests and T-test. In conclusion, webbing strategy can give significant effect on students’ improvement in reading comprehension. The mean score of post-test in experimental group is 88,03, meanwhile the mean score of post-test in controlled group is 62,86. Beside that, the significant effect can be seen in the hypothesis test, which T&lt;sub&gt;observed&lt;/sub&gt; is higher than &lt;sub&gt;Ttable&lt;/sub&gt;, ( 9,186 &amp;gt; 1,673 ) in the level of degree α is in significant 0,05. It means that there was significant effect of using webbing strategy to improve students’ reading somprehension at the Tenth grade of MAS Muhammadiyah Sei Apung Jaya.
EFEKTIVITAS BANTUAN PROGRAM INDONESIA PINTAR (PIP) TERHADAP MOTIVASI DI MADRASAH TSANAWIYAH (MTs) PUTRI SITI HAJAR BANDUNG

The percentage of poor people in Indonesia has increased by 0.41% which is a challenge for the government so that the hope of education is not cut off. Education fee assistance is expected to help allocate education costs, either directly or indirectly, which will have an impact on the motivation of students. So that the purpose of this study is to analyze the effectiveness of PIP assistance on the motivation of students at MTs Putri Siti Hajar Bandung. The method used in this research is the quantitative method. Collecting data by means of interviews and questionnaires with a total sample of 23 respondents. The results showed that the PIP assistance activity was 61.3%, while the motivation of students at MTs Putri Siti Hajar Bandung was equal to. The effectiveness of PIP assistance has a positive and significant effect on the motivation of students at MTs Putri Siti Hajar Bandung by 16.2%. Presentase penduduk miskin di Indonesia naik sebesar 0,41 % menjadi tantangan bagi pemerintah agar harapan pendidikan tidak terputus. Bantuan biaya pendidikan diharapkan dapat membantu pengalokasian biaya pendidikan baik secara langsung maupun tak langsung yang memberi dampak pada motivasi peserta didik. Sehingga tujuan penelitian ini yaitu menganalisis efektifitas bantuan PIP terhadap motivasi peserta didik di MTs Putri Siti Hajar Bandung. Metode yang digunakan dalam penelitian ini ialah metode kuantitatif. Pengumpulan data dengan cara wawancara dan kuisioner dengan jumlah sampel sebanyak 23 responden. Hasil penelitian menunjukan bahwa ewktifitas bantuan PIP sebesar 61,3 %, sedangkan motivasi peserta didik di MTs Putri Siti Hajar Bandung sebesar . Efektifitas bantuin PIP berpengaruh secara positif dan signifikan terhadap motivasi peserta didik di MTs Putri Siti Hajar Bandung sebesar 16.2 %. Keywords: Effectiveness, Cost of Education, Motivation
Distilling the Documents for Relation Extraction by Topic Segmentation

Sentence-level relation extraction (RE) is always hard to identify the relations across sentences. Thus, researchers are now moving to the document-level RE. Since a document can be regarded as a long sequence connected by multiple sentences, document-level RE obtains cross-sentence relations by reasoning and aggregating information between entity mentions. However, document-level RE faces the low-efficiency issue. Intuitively, encoding the whole document is undoubtedly a more expensive action than encoding a single sentence. And we notice that in the process of relation extraction, documents always contain much irrelevant content, which not only wastes encoding time, but also brings potential noise information. Based on this observation, we propose a novel framework to identify and discard such irrelevant content. It integrates the topic segmentation to distill the document into topically coherent segments with concise and comprehensive information of entities. To further utilize these segments, we propose a topic enhancement module in the framework to enhance the predicted relations. The experimental results on two datasets indicate that our framework outperforms all the baseline models. Furthermore, our framework can increase the speed by 3.06 times and reduce the memory consumption by 2.90 times while maximizing the F1 score.
PEMBUATAN FILE SYSTEM GLUSTERFS DISTRIBUTED- REPLICATED VOLUME DI SEKOLAH VOKASI IPB UNIVERSITY

College of Vocational IPB University (SV-IPB) uses a client-server system as an information technology architecture. The server provides several services that are used to assist the teaching and learning process at the IPB Vocational School. The application used to provide services is the Modular Object-Oriented Dynamic Learning Environment (MOODLE) which is used for e-learning. SV-IPB provides two Virtual Machines which are used as a web server and a database server. The use of a single web server to replace the request is certainly less stable because there is no web server to back it up so that the service will stop. This situation states that the use of a single web server does not have high information (high available). To overcome this problem, the cluster technology can be used to group several web servers in SV-IPB. The web server clustering technology used is the Gluster File System (GlusterFS) with the volume type used, namely Distributed-replicated volume. Based on the tests that have been carried out, this project can solve the problem that has been described earlier that "one web server is down, there is still another web server that can so that the client request process does not stop. In addition, the clustering technology used is required for the use of load balancing web servers so that it can reduce the load on each server because the request process will be sent alternately between web servers.
EFFECT OF BRAND IMAGE ON CONSUMER TASTE PREFERENCE

Brand image or name plays an important role to boost the performance of any company or business. Name is that the tool which might absolutely modification people are shopping for behavior. The aim of this study is to look at the result of name on shopper shopping for behavior. Employing an activity model of name name and shopper preferences, this study aims to research the consequences of name on shopper preferences. Form survey was accustomed collect the info by victimization non chance convenient sampling technique. The findings of the study indicated positive correlations among the 2 variables with high issue loadings. Name of a product has important impact on the preferences of the customers.
An Empirical Study on the Impact of Class Overlapin Just-in-Time Software Defect Prediction (S)

Just-in-time software defect prediction (JIT-SDP) is an active research topic in the field of software engineering, aiming at identifying defect-inducing code changes.Most of the current JIT-SDP work focused on model construction.It is often ignored that the performance of classifiers often depends on high quality data.In this paper, we first investigate the impact of the class overlap problem on the performance of the classifiers in JIT-SDP, and propose a new effective preprocessing method (IKMCCA-TL) combining improved K-Means clustering cleaning approach and Tomek-link method.In order to objectively estimate the impact of class overlap on the classifiers in JIT-SDP, we conduct a large-scale empirical study on the data sets of six open source projects and compare the performance of LR, RF and KNN classifiers by using IKMCCA or KMCCA or NCL and without cleaning data.Experimental results show that after removing overlapping instances, the performance of the classifiers is significantly improved in terms of balance, recall and AUC and our proposed method achieves the best performance.
Determining Local Hematology Reference Ranges: A Data-driven Approach

Hematology is the study of blood, blood-forming organs, and blood diseases.Hematological tests such as Full Blood Count (FBC) can be used to diagnose a wide range of infections and diseases by comparing their results with the standard hematology reference (SHR) ranges.These ranges were established many years ago by considering the Caucasian population and all countries have used them until recent times to measure the healthiness of the people.But these reference ranges can be varied according to various reasons such as dietary habits, geographical location, climate, environmental factors, etc., and the use of them by all countries may not be correct.Many researchers have started research in finding Local Hematology Reference (LHR) ranges.Most of them used statistical analyses which have their limitations.Machine learning is a solution to overcome those limitations.Finding an approach to determine the LHR range based on machine learning techniques is the goal of this research.The dataset was generated using FBC test reports in Sri Lanka.The LHR range of WBC count of healthy adults in Sri Lanka is only addressed in this research.A difference between the SHR range of WBC and the LHR range of WBC is observed.
Interaction of Policy Actors in Online Learning Implementation

This study aims to explain and describe the interaction of policy actors in the implementation of online learning. This study uses a qualitative research method with a descriptive case study approach. Data collection techniques in this study are through observation, documentation, and interviews. The instruments in this study were: a) the researcher himself, b) interview guidelines, c) supporting tools in the form of books, pens, and d) related documents. The results showed that actor interaction can occur if there is communication between implementing actors. Communication in the implementation of online learning can be seen in the accuracy or accuracy of communication and consistency of communication regarding online learning information from the principal to the teacher and finally to students and parents. Interaction between actors, namely principals, teachers, students, and parents in the implementation of online learning has not been carried out effectively. This is because the interaction between implementing actors is unresponsive to one party, namely students and parents. Apart from that, giving complicated and difficult assignments by the teacher, which makes it difficult for students and parents to understand, is also a factor in the existence of negligence or delay
Development of Assignment-Based Teaching Materials And Local Wisdom For English Learning of Iisbud Sarea Students During the Pandemic

The purpose of this research is to develop assignment-based teaching materials and local wisdom for the English language learning of Iisbud Sarea students during the pandemic. Then, this research method uses the ADDIE namely development, analysis, design, development, implementation, and evaluation. The results showed that the validation test results of material expert, language expert, and media expert against the modules developed were in the "high" and "very high" categories. Then, the results of the practicality test both in terms of students and English lecturer that the module is in the category of "practical" and "very practical". While the effectiveness test showed that the assignment-based English module and local wisdom are in the practical category where the test results in the law study program are 16 people who get a score of ≥ 70 or 76.2%. While the test results in the sociology study program are 15 people who get a score of ≥ 70 or 77%. Thus, overall the assigment-based English language module and local wisdom are in the effective category and have met the standard of the effectiveness of pre-determined teaching materials, namely 75% of students get a grade of ≥ 70 or grade B.
Smart Payment Application Security Optimization from Cross-Site Scripting (XSS) Attacks Based on Blockchain Technology

The digital era is an era everyone has used technology and they are connected to each other very easily. The Smart Payment application is one of the applications that is developing in the digital era. This application is not equipped with security, so there is a concern that hackers will try to change user or even change user data. One of the possible attacks on this application is a cross-site attack (XSS). It is a code injection attack on the user side. Security in the Smart Payment application needs to be improved so that data integrity is maintained. In this research, security optimization is carried out by implementing blockchain. Blockchain has the advantage in terms of security with the concept of decentralization by utilizing a consensus algorithm that can eliminate and make improvements to data changes made by hackers. The result obtained from this study is the implementation of blockchain to maintain the security of payment transaction data on the Smart Payment application from XSS attacks. It is proven by the results of the vulnerability before and after blockchain implementation. Before the implementation of the vulnerability is found, 1 XSS vulnerability had a high level of overall risk. Meanwhile, the result of the vulnerability after blockchain implementation was not found from XSS attacks (the XSS vulnerability was 0 or not found).