Reviewerly/exHarmony huggingface dataset:
The Correlation between Students’ Willingness to Communicate and Their Speaking Performance at the Tenth Grade of MAN 1 Pekanbaru

The purpose of this research is to examine whether there is any significant correlation between willingness to communicate and speaking performance at the tenth-grade students of MAN 1 Pekanbaru. There were 244 students as samples by using the simple random sampling technique. This research approach was a quantitative method and the technique used in this research was a correlational technique. In collecting the data, the writer distributed the questionnaire to the respondents to determine the willingness to communicate, which consist of 55 item statements and used documentation of the students' speaking score made by English teachers at the school to determine the speaking performance. The writer used Spearman correlation through SPSS 26.0 to analyze the data. The result of this research showed that sig.r obtained value is 0.000 lower than alpha value (0.05). it means that null hypothesis (Ho) is rejected while alternative hypothesis (Ha) is accepted. In conclusion, there is a correlation between willingness to communicate and speaking performance at the tenth-grade students of MAN 1 Pekanbaru.
Learning to Transfer with von Neumann Conditional Divergence

The similarity of feature representations plays a pivotal role in the success of problems related to domain adaptation. Feature similarity includes both the invariance of marginal distributions and the closeness of conditional distributions given the desired response y (e.g., class labels). Unfortunately, traditional methods always learn such features without fully taking into consideration the information in y, which in turn may lead to a mismatch of the conditional distributions or the mixup of discriminative structures underlying data distributions. In this work, we introduce the recently proposed von Neumann conditional divergence to improve the transferability across multiple domains. We show that this new divergence is differentiable and eligible to easily quantify the functional dependence between features and y. Given multiple source tasks, we integrate this divergence to capture discriminative information in y and design novel learning objectives assuming those source tasks are observed either simultaneously or sequentially. In both scenarios, we obtain favorable performance against state-of-the-art methods in terms of smaller generalization error on new tasks and less catastrophic forgetting on source tasks (in the sequential setup).
IMPLEMENTASI INTRUSION DETECTION SYSTEM MENGGUNAKAN ALGORITMA BLOWFISH Studi Kasus DI DOTA CAFE

Cryptography is the study of system security, where the system needs to be secured from interference or threats from irresponsible parties. In everyday life, fraud is often found in important data, one of which is cashier system data. To prevent and overcome this, the concept of network security with the Blowfish Algorithm will be applied. One of the cryptographic algorithms is the Blowfish Algorithm. The Blowfish algorithm is quite simple but strong enough because it has a long keyspace, making it difficult to attack. Unexpected things often occur such as foreign parties who want to enter the system by repeatedly trying the possible username and password, or foreign parties changing the data in the cash register at Dota Café. This system will function to monitor system activity, in this case if the system feels a threat or system disturbance is found.
An effective face recognition method using guided image filter and convolutional neural network

&lt;p&gt;In the area of computer vision, face recognition is a challenging task because of the pose, facial expression, and illumination variations. The performance of face recognition systems reduces in an unconstrained environment. In this work, a new face recognition approach is proposed using a guided image filter, and a convolutional neural network (CNN). The guided image filter is a smoothing operator and performs well near the edges. Initially, the ViolaJones algorithm is used to detect the face region and then smoothened by a guided image filter. Later the proposed CNN is used to extract the features and recognize the faces. The experiments were performed on face databases like ORL, JAFFE, and YALE and attained a recognition rate of 98.33%, 99.53%, and 98.65% respectively. The experimental results show that the suggested face recognition method attains good results than some of the state-of-the-art techniques.&lt;/p&gt;
Pengembangan Modul Berbasis Peta Pikiran (Mind Map) untuk Pembelajaran Menulis

This study aims to describe the process of developing a mind map-based module that is valid, practical, and effective for learning to write text on observation reports of class X SMA students. This type of research is research and development (R&amp;D). In this case, the writer designed a product in the form of a mind map-based module, especially in the material of writing a valid, practical, and effective observation report text on the observation results of class X SMA students. The development model used is the 4-D model which consists of four development stages, namely definition, design, development, and distribution. To determine the validity, practicality, and effectiveness of the modules that have been made, the data were analyzed using descriptive statistics which are used to analyze the data by describing or describing the collected data as it is. In this study it was found that the mind map-based module for learning to write a text on the observation report developed can be declared valid (seen from the point of view of content, presentation, language, and graphics), practical (in terms of ease of use and compatibility with time), and effective (seen from the activities, attitudes, and student learning outcomes). The use of designed modules has direct implications in the learning process because the material presented is the demand of the applicable curriculum. Therefore, using modules can make it easier for students to understand and master the material. Besides, the role of the teacher as a facilitator will be realized because of the availability of learning resources with complete explanations and attractive presentations. It aims to facilitate teachers in the learning process.
Evaluation of the Current Challenges of Nursing Students about Online Nursing Education at Kurdistan Region in Iraq

Background: During the COVID-19 Pandemic, the vast majority of educational organizations have been closed and faced different levels of challenges when online education is adopted as an alternative teaching approach, in this context an urgent nursing-specific E-Pedagogy method is required.Aims of the study: Evaluate the current challenges of nursing students about online nursing education through web-based courses, programs, online examinations, and quizzes.Methodology: A descriptive study, using an evaluation approach, conducted in 25 \ September \ 2020 to 11 \ April \ 2021. and carried out at two Colleges of Nursing in Kurdistan Region of Iraq, a sample of (80) undergraduate nursing students is recruited in the aforementioned colleges using the non-probability sampling approach to gather a convenient sample. A self-report questionnaire is developed of the literature, for the evaluation process.Results: Indicate that the proportion of students who show difficulties is equal to two-fifths of the total sample while only some of the students demonstrate preparedness and interest in online education.Conclusion: The majority of the participants show various degrees of challenges and difficulties about online nursing education, and these challenges vary of one college to another.Recommendations: The faculty members should be well trained for the implementation of online nursing education for the benefit of students learning improvement
Students' Learning Motivation in Oriental Food Processing Course during Online Learning Using Digital Smart Book Learning Media

The learning process is conducted by interactively, inspirative, fun, and motivates the students with technology in order to improve students' motivation and learning outcomes. Then, this research aimed to improve students' learning motivation in Oriental Food Processing during online learning using digital smart book learning media. The subjects in this study were the 4th-semester students of Culinary Art Education Study Program, Industrial Technology, Faculty of Engineering, State University of Malang. The analysis used descriptive analysis. The data was collected using questioner through a Google form. Results showed that around ninety students were motivated to follow online learning using digital smart book media. Thus, it exhibited that the digital smart book learning media helped improve students learning motivation. The conclusion, this technology could be used for other courses as an innovative solution to overcome students' problems and difficulties in the online learning process.
HOW SHOULD DESIGNERS FORMULATE USERS INSIGHT? - COMPARISON BETWEEN NOVICES AND PROFESSIONALS

This research investigated the difference between novice and professional designers in terms of skills of gaining insights into design process.This study experimentally examined the designers' behaviours in gaining insight by comparing how novice and professional designers empathise differently toward users.In the experiment, designers were asked to create a concept map and gain insights from a prepared userinterview transcript.The participants were interviewed about how they gained insights of users from the transcript.The concept map and insight statements were analysed.As a result, we clarified a difference between novice and professional designers which were generalisation of the transcript and inclusion of suppositions into insight statements.This study is a first step to analyse and support the insight generation of novice designers.
RANCANGAN SISTEM PEMBELAJARAN DARING BERBASIS WEB

The current learning process at STMIK Swadharma Jakarta is still conventional, in other words, that the teaching and learning process between students and lecturers can only be carried out on the condition that a meeting between students and lecturers occurs in the class. If the meeting between students and lecturers does not occur, automatically the learning process cannot be carried out. In addition, the process of delivering knowledge is almost completely carried out in the classroom which causes the delivery of knowledge to be late if the meeting does not occur. This situation can clearly hamper the learning process at STMIK Swadharma Jakarta so that it can result in reduced student understanding of a subject matter. The research method used is field research with data collection techniques through observation and interviews. Research results In this e_learning application have 4 actors, namely Admin / BAAK, Lecturers, Students, and Leaders. Admin is responsible for managing and inputting master data such as user data, lecturer data, student data, and course data. In addition, the E_learning Admin / BAAK teaching and learning process also have an important role, namely in the process of inputting class data, course material data, and in the reporting process. Lecturers provide course materials, assignments, UTS, UAS, and also input grades. Students can download material files provided by the lecturer, do assignments, UTS, and UAS by uploading files. Meanwhile, the leader can access reports. The reports produced include: user reports, course reports, E_learning KBM reports.
The Impact of Using Educational Robot through Integrative Approach on the Achievement of Tenth-Grade Students in Trigonometry

The study aimed at investigating the impact of using the educational robot through the integrative approach on achievement among tenth grade students in trigonometry. To achieve the aims of the study the researchers developed an academic unit adopting the integrated approach by using Educational Robot. The sample of the study consisted of (120) students of the tenth grade students in public schools in the city of Amman, divided equally into two groups: experimental and control. Achievement test in mathematics was used, which were validity and reliability was verified. The results of the study showed a statistically significant difference (α≤0.05) between the averages of the two groups experimental (which used the educational robot) and the control group (which did not use the educational robot) in mathematical achievement in favor of the experimental group. The study did not show an interaction between the use of the educational robot and the gender of the student in the mathematics achievement in the students of the tenth-grade students. In light of the study's findings, the researchers recommend using modern technology tools such as robot to teach mathematics. Keywords: Educational robot, achievement, trigonometry, integrative approach
Penerapan Algoritma Boyer Moore Dalam Pencarian Barang Hilang pada Aplikasi FindIt Berbasis Android

Losing is an experience that every human has experienced during his life span, and this is a natural thing. Loss of goods is an event that can make a person panic, especially if the lost item is valuable to him. Therefore, with the development of technology, the author tries to design an application that can be a medium for information on lost items for the community, this application is designed based on Android and is named FindIt. This FindIt app uses Firebase Authentication and Firebase Storage as the main database. This application can be run in real-time because it uses Realtime Firebase. Algorithm testing was carried out between Knuth Morris Pratt and Boyer Moore, and the result is Boyer Moore is faster in string matching. The test results using this algorithm are 100% accurate. Application testing is done using the Blackbox method, where the functions and features of the application run as expected. With this application, it is hoped that the community can help each other to find goods and post their findings on this application
Power Fx: Low-code Language for Collaboration Tools

The paper provides an overview of the first impression of the language for implementation low code of approach. About a month has passed since the release date.
The effect of teacher written feedback towards students’ writing outcomes at first grade of SMA N 1 Natar

Abstract. The current study investigated the effect of teacher written feedback towards students’ writing outcomes in recount text. The study was a quantitative research which utilized one group pretest-posttest design. 20 first-year students of SMA N 1 Natar were selected to be the experimental group of this research. The data was analyzed by using repeated measure t-test with the significance level p&lt;0.05. The findings revealed a growth in students’ writing outcomes after being given the treatment. The students’ mean score of the pre-test was 61.7 while the post-test pointed out at score 81.6. It showed that there was a significant difference between the students’ writing outcomes before and after the teacher written feedback was given with significant level 0.05. Moreover, grammar or language use was the aspect of writing that improves the most among the other aspects. In sum, it can be inferred that teacher written feedback can be used to help the students’ improve their writing outcomes.
Faktor-Faktor yang Mempengaruhi Minat Mahasiswa Mengikuti Pendidikan Magister Akuntansi

Master of Accounting is a secondary education in higher education to get a master’s degree. This study aims to obtain empirical evidence of the effect of motivation, accreditation of study program, labor market considerations and peer environment status on intention to take master in accounting. The research was conducted at The Faculty of Economics and Business. The sampling technique use was purposive sampling and obtained a sample of 168 samples. Data were analyzed using multiple linear regression analysis. The result of this study indicate that motivation and peer environment status has a positive effect on intention of students to take Master of Accounting Education, while accreditation of study program and labor market considerations has no effect on the interest of student attending the master of Accounting Education.&#x0D; Keywords: Motivation; Accreditation Of Study Program; Labor Market Considerations; Peer Status; Student Interest.
College English Reading Teaching from the Perspective of Modern Information Technology

It needs a lot of language input and output for College English reading teaching.Frequent interaction between teachers and students can make English learning more meaningful.The course of College English reading is teachercentered neglecting the dominant position of students and having the single teaching content.It is not ideal for the teaching effect.Modern information technology has strong technical and theoretical advantages, which application in College English reading teaching will bring innovation and convenience to college English reading teaching.
SISTEM INFORMASI PENGOLAHAN DATA DI DINAS PERHUBUNGAN KOTA JAMBI

The Transportation Office of Jambi City is one of the Regional Government Technical Offices, especially in the Jambi City area. One of the main tasks and functions is to have the authority to collect regional levies. In this research, an Information System for Data Processing of Locally Generated Revenue in Transportation Office of Jambi City is expected to be able to facilitate the data processing process until the process of recapitulation of local revenue reports at the Jambi City Transportation Agency. This application is built using Adobe Dreamweaver tools and MySQL Database. The research method used in this thesis is the waterfall method, and system modeling uses Data Flow Diagram (DFD) modeling.
Compositional Neural Logic Programming

This paper introduces Compositional Neural Logic Programming (CNLP), a framework that integrates neural networks and logic programming for symbolic and sub-symbolic reasoning. We adopt the idea of compositional neural networks to represent first-order logic predicates and rules. A voting backward-forward chaining algorithm is proposed for inference with both symbolic and sub-symbolic variables in an argument-retrieval style. The framework is highly flexible in that it can be constructed incrementally with new knowledge, and it also supports batch reasoning in certain cases. In the experiments, we demonstrate the advantages of CNLP in discriminative tasks and generative tasks.
DAMPAK MEDIA GAMBAR DALAM PEMBELAJARAN MENULIS PUISI OLEH SISWA KELAS IV SD NEGERI 29 BANDA ACEH

Teaching media is an important aspect in teaching at elementary school. Poetry writingskill of students is still below standard which is 75. Teaching activity is still based onstudent’s imagination in creating poetry, this results in the students’ poetry are notproductive. Besides, many teachers do not make use of environment or picture-media as thesource of inspiration in poetry writing. This research wanted to know the influence of usingpicture-media in teaching writing poetry at grade four elementary school 29 Banda Aceh.The approach used in this research is quantitative. The population is the students ofelementary school 29 Banda Aceh which consist of 52 students. The samples are 52 studentswhich consisted of 26 students from grade IV A and 26 students from grade IV B. Data wascollected using test and was analyzed using t-test. The result shows that there is asignificant difference between experiment class (IVA) and control class (IVB). The result ofresearch supports the hypothesis that using picture media in poetry writing skill influenceelementary school students grade four at elementary school 29 Banda Aceh. It is proved byt-count = 5,54 while t-table = 2,00. Therefore, the alternative hypothesis (Ha) saying thatthere is an influence of poetry writing skill toward student taught by using picture-media atelementary school 29 Banda Aceh is accepted.
Intelligent Aspect based Model for Efficient Sentiment Analysis of User Reviews

Mining online reviews to extract opinion targets and words are substantial tasks in fine-grained opinion mining.The main aim is to mine sensible multi-grain aspects and opinion words from unlabeled reviews.In this paper, Combined Aspect based Sentiment Model (CASM) is propounded to cooperatively mine multi-grain features and opinions.CASM deals with aspects, opinions, sentiment polarity and granularity concurrently.Support Vector Machine-Radial Basis Function kernel (SVM-RBF) classifier is applied to improve CASM by splitting aspects and opinion words.CASM-SVM-RBF deals with two different kinds of aspects and opinions: general and particular aspects, overall opinions and aspect-precise opinions.Candidates with improved confidence are mined as opinion targets or words.The performance is analyzed in terms of Accuracy, Precision, Recall and F-Score for KNN, BPNN, NBC and ME classifiers.
Augmenting Activities in Engineering Courses with Tools, Technology, and Kits for Remote Experiential Learning

Education at Purdue where she focused on identifying and developing leadership and other socio-
ASSESSING THE REALITY OF DISTANCE LEARNING DURING THE CORONAVIRUS EPIDEMIC FROM THE PERSPECTIVE OF PUBLIC-SCHOOL TEACHERS IN JORDAN

The research aimed to assess the reality of distance learning during the Coronavirus epidemic, and to monitor the level of reality in the facilitative field, the psycho-behavioral field, and the learning field for the distance learning during the Coronavirus epidemic from the Perspective of public-school teachers in Jordan. A sample of (85) male and female teachers was selected in Accordance with statistical methods of selecting probability random samples. To achieve the research goals, the descriptive and analytical approach was adopted. The results revealed that the reality of distance learning during the Coronavirus epidemic from the Perspective of public-school teachers at Balqa Governorate in Jordan, was low, rating (53%), The most recommendations: that teachers should be provided with adequate support to enable them to use digital tools in order to achieve facilitation and follow-up processes
Regulating Internet of Things: The Case of the United Arab Emirates

The Internet of Things is an important component of the smart technology era. It is the way the world is now moving at an accelerated pace. It has enormous benefits to individuals, groups, companies, and enterprises. Like any other technology, however, it brings ethical challenges requiring governments to develop a legal framework to address those concerns over this technology. This study investigates these challenges in the context of the United Arab Emirates as the government has imposed policies to safeguard the ethical use of the Internet of Things. The study concludes that IoT is a sought-after innovation in the UAE but suffers from deployment without compliance to current regulations and ethics which is becoming mandatory.
An Analysis of Students’ Grammatical Errors in Writing Procedure Texts

This study investigated the common types of grammatical errors made by 3rd grade of secondary male and female students at SMP Muhammadiyah Pangkalpinang in writing procedure texts and to find out whether there was any significant difference in the errors committed by the students when grouped according to gender. The researcher specified this study in writing procedure text which focused on their errors. The research method used was quantitative. The samples of this study were 30 students that were taken from 9th grade of SMP Muhammadiyah Pangkalpinang. The data was obtained from the sentences written by the students and by means of the test. In this study, the result of the test was analyzed by paired sample t-test. In accordance with the result analysis, the study revealed two major findings. The result showed that there was a significant difference in the errors committed by the students when grouped according to gender. Therefore, the data further means that gender affects the number, and percentage of errors committed by the students.