Reviewerly/exHarmony huggingface dataset:
The Relationship Between Parenting Patterns On Children's Learning Motivation

Abstract : Parenting patterns affect the way children develop, because the family, especially parents, are the people closest to the child who can shape the child's behavior, personality and habits as well as education. Children also follow the behavior of their parents. Children's learning motivation also greatly influences children's learning achievements and to achieve a goal. This study aims to determine the effect of parenting style and student learning motivation on learning achievement in Indonesian subjects. This research was conducted with a qualitative approach. The data analysis technique used is descriptive analysis to explain the role of relationships and the impact of parenting styles on children's learning motivation. The data in this study are the responses from the informants obtained through the spread of adoption to the informants. The research instrument is a questionnaire. Data analysis was carried out by tabulating data from informants. The results of the study show that parenting styles affect children's motivation to learn, the way parents increase children's motivation to learn greatly affects the level of intelligence of children.
Improving Students' Reading Comprehension Skills Using the Speed Reading Method in Class V of SDN 37 Anduring, Padang City

The background of this research is the low reading comprehension skills of students and students' reading interest who are lacking in class V SDN 37 Anduring, Padang City. This study discusses how students' reading comprehension skills use the Speed ​​Reading method in class V SDN 37 Anduring, Padang City. This study aims to improve students' reading comprehension skills using the Speed ​​Reading method in class V SDN 37 Anduring, Padang City. The approach used in this study is a qualitative approach and a quantitative approach. In the Speed ​​Reading learning approach, the activities carried out include: 1) Pre-reading, 2) While reading, 3) Post-reading. The place of this research was held in class V SDN 37 Anduring, Padang City, where there were 24 people. Based on the research results, it can be seen that the Speed ​​Reading method in each cycle shows significant results. This can be seen in the pre-reading cycle I, the percentage obtained was 69.78% with sufficient criteria (C) and increased in cycle II, the percentage obtained was 89.95% with very good criteria (A). It can be said that the use of the Speed ​​Reading method can increase students' reading comprehension skills. When reading cycle I, the percentage obtained was 67.91% with sufficient criteria (C) and increased in cycle II, the percentage obtained was 89.58% with very good criteria (A) based on the percentage it can be said that the use of the Speed ​​Reading method can increase students' reading comprehension skills. After reading cycle I, the percentage obtained was 69.79% with sufficient criteria (C) and increased in cycle II, the percentage obtained was 89.16% with very good criteria (A) based on the percentage it can be said that the use of the Speed ​​Reading method can improve skills reading comprehension of students. That: students' reading comprehension skills using the Speed ​​Reading method increased from cycle I to cycle II with an average value of cycle I 69.16% and cycle II 89.98% increasing in class V SDN 37 Anduring Padang City.
Vocational School Students’ Perceptions of Learning Extensive Listening through YouTube Videos

This study aims to examine and describe vocational school students' perceptions of learning extensive listening through YouTube videos. The researcher used a mixed methods design to test students' perceptions of learning extensive listening through YouTube videos. Data were analysed quantitatively obtained from questionnaires and qualitatively obtained from the interview method. This study collected data from 36 students from SMKN 12 Malang. The results of the current study indicate students show positive perceptions of learning extensive listening through YouTube videos. A large number of students revealed that YouTube videos can enhance and motivate them to learn to listen extensively. The conclusions of the interviews were strengthened by the results, which that revealed students agreed among the application of YouTube videos for teaching extensive listening. In addition, students believe that YouTube videos are more useful when learning English, especially in teaching extensive listening.
Investigating EFL Students’ Speaking Anxiety: A Case Study at English Department of UINSU

Anxiety about speaking English has received a lot of attention in recent years. Therefore, the purpose of this study was to describe the factors that caused students' language anxiety and their strategies for reducing anxiety in speaking English at class. Participants in this study were 5 students’ English department in the second semester. The methods used in this study were descriptive and qualitative. Data were obtained from interviews and observations. As a result, it shows that EFL students in English Department of UIN Sumatera Utara, they feel anxiety in speaking English. Fear of speaking English is due to a number of factors, both internal and external. The first factor was the type of the task, fear of making mistakes, the role of the language teacher, self-perception and the last is the limited exposure to English. Moreover, the finding of this study also revealed that there were some strategies they used to reduce anxiety. There is preparation before speaking English, positive thinking, and strategy they used was peer seeking.
Students’ Perception of the Use of TalkEnglish.com in Teaching Speaking for ESP Class

The field of education has greatly benefited from the advancements in technology, resulting in more efficacious, interactive, comprehensive, and non-classroom-bound learning experiences. One such application is web-based learning, which employs the Internet as a means to facilitate the educational process. This modality of instruction addresses various challenges that are inherent in traditional pedagogical approaches, such as the limited time allocated for lecturers and students in classroom settings. Despite an abundance of literature that has investigated the incorporation of technology in the teaching of spoken English, there is a scarcity of studies that specifically examine the utilization of the website, TalkEnglish.com.Specifically, in the context of teaching English for Business, which necessitates students to develop proficient and precise oral proficiency in the language, the present study aims to investigate the students' perception of the efficacy of TalkEnglish.com in honing their speaking skills. This study employed a descriptive qualitative design, where ten students from the Economic Faculty at Universitas Pandanaran were selected as participants. These participants utilized the website TalkEnglish.com to improve their speaking skills. Data was collected through a semi-interview approach and documentation method. The findings of the study indicate that the majority of the participants held a positive perception of TalkEnglish.com.
Sharpen Listening Skills Through Innovative Probing-Promting Application of Cake in Limited Face-to-Face Learning in the Era of Independent Learning

The objective of this research is to find out the effectiveness of the application cake in order to increase the students listening comprehension easy and fun. The student also easy understands. There are two stages method of research they are: First, the researcher conducts a literature review, problem analysis, and observation, determines the sample, surveys on vocabulary comprehension, and pre-tests to determine the abilities of the research subjects, and the second is carried out by implementing the learning method which is then analyzed so that it leads to the final instrument test, then the last is the researcher conducted a post-test. Meanwhile the instrument in this research is pretest and posttest. The sample of this research is members of the English Club at the University of Muhammadiyah Lampung. The number of samples taken was 39 students. The instruments to be used are pre-test and post-test. The results of the pot test showed as many as 3 respondents got scores with a range between 40-50. A total of 7 respondents scored between 52-60, then dial with 7 respondents who got a score between 62-70. The highest score is dominated by the 4th series with 18 respondents who get scores with a range between 72-80. Closed with 4 people who got a score between 82-90. The use of cake application in the listening learning process has quite a significant impact on learning achievement, when compared to the previous score, the post-test score is higher than the pre-test score.
Elementary School Students' Perceptions of Learning Vocabularies Using Short Stories

Short stories are considered an excellent and highly significant teaching approach in elementary level teaching and learning as they provide a useful and unique learning resource and encourage language acquisition, progress and personal interest. This study aims to better understand how primary school pupils see vocabulary development. A mixed-methods study was conducted with thirty sixth graders at SD IT Cahaya Rabbani Kepahiang to gather both quantitative and qualitative data. To collect quantitative data, a questionnaire was employed, and to collect qualitative data, interviews were used. Using SPSS and Excel, the data were descriptively examined. Because short stories are engaging, practical, and simple to grasp, 80% of SD IT Cahaya Rabbani Kepahiang students highly agree and believe that using short story media can help students learn more words in English. The study's conclusions indicate that students are open to using short stories to broaden their vocabulary and find them engaging. Therefore, English teachers should employ short stories to assist students learn vocabulary. The instructor should be mindful of the significance of selecting short stories wisely and doing it in a way that is both engaging and amusing. The selected short stories must also pay attention to the interests, needs, and skills of students. In this study, only a subset of children from the same school participated. Information was only collected once, through questionnaires and interviews. As a result, only students in the same school can use the findings. Additional research should include more people from various institutions to provide more thorough results. Additionally, it is possible to investigate the effectiveness of using short stories to help students expand their vocabulary by using different research methodologies like experimental or action research.Keywords: Students’ perception; short story; vocabulary
What Can Reading Motivation Do for Improving Student’s Reading Comprehension? Implications for Reading Instruction in the School

This study is a qualitative study which to know the problems of students’ reading motivation as an implication for reading instruction for improving reading comprehension. The instrument that had been used for this study is questionnaires and literature review was done to give solution for implication in the reading classroom based on theories. For 21 students in junior high school who have been distributed a questionnaire could be found that some students have some problems in reading efficacy and intrinsic motivation (reading work avoidance). Some solutions to solve students’ reading motivation are 1) Sociocultural environment is part of a solution in creating reading motivation in order peer influence happened on it. 2) By viewing locus of control, appropriate book and text determine the reading motivation of the students. 3) Furthermore, the students must be given the freedom to choose the kinds of text that they want to read. 4) reward and punishment can be applied on the reading class to invent students’ reading motivation 5) activating the school library can increase reading interest but must be accompanied by making several programs that support reading activities.
A Closer Look on Student-Teachers’ Attitudes, Habits, and Their Comprehension Achievement toward Reading of Tertiary Level

This study was aimed to find out (a) the existing phenomena of students’ reading attitudes, habit, and comprehension achievement, (b) whether or not there was significant correlation among the students’ reading attitudes, reading habits and their reading comprehension achievement, (c) whether or not there was contribution of students’ reading attitudes, reading habit and their reading comprehension achievement, (d) which variable gives the most contribution to the students’ reading comprehension achievement. The data were collected by distributing reading attitude and reading habit questionnaire and testing a reading comprehension for 313 students. The data were analyzed by Percentage analysis, Pearson Product Moment and Regression. The result showed that 1.6% students had very positive reading attitude, 95.9% students had positive reading attitude, 2.5% students had negative reading attitude. In reading habit, 23.1% students had very good reading habit, 72.3% students had good reading habit, and 4.6% students had average reading habit. There was a significant correlation between students’ reading attitude to their reading habit (.365 with sig .000). Significant correlation between either students’ reading attitude or reading habit and their reading comprehension achievement was not found. Based on their semester level, only the eighth semester students’ reading attitudes insignificantly correlate to their reading habits (.134 with sig .233). Meanwhile, only the fourth semester students’ reading attitudes correlate to their reading comprehension achievement (.290 with sig .011). In general, students’ reading attitudes contributed 13.3% to their reading habit. Finally 8.6% of the fourth semester students’ reading comprehension achievement was influenced by the combination of reading attitudes and reading habits.
The Use of HU Thresholding in Carotid-Cerebral CT Angiography: A Qualitative Study

Background: CT scans with contrast media administration have been used to confirm the presence of pathology in the blood vessel of the brain. High accuracy and fast scanning time produced by CT scans make this modality the main choice in assessing aneurysm pathology in the brain. Technological advances and the development of CT-helical image acquisition techniques have enabled neuroradiologists to evaluate brain aneurysms in a short time. Magnetic resonance (MR) angiography has also been reported to be useful in the diagnosis of brain aneurysms, but it is generally more time-consuming than 3D CTA, and MRI is very sensitive to movement artifacts.Methods: This research is qualitative research with an observational approach that aims to determine the management of carotid-cerebral CTA artery examination in Premier Bintaro Hospital. Unstructured interviews and documentation are used as study instruments to complete the required data.Results: Cerebral Angiography CT examination technique in Premier Bintaro Hospital uses a bolus tracking scanning technique with ROI monitoring of the Carotid Internal Artery and using triggering of 100-120 HU as a peak enhancement to ROI monitoring. This has been proven to produce optimal enhancement in the Circulus of Willis (CoW) region as Volume of Investigation (VOI) in cerebral Angiography CT-Scan. Post-processing is done by displaying images ranging from axial pre-contrast, axial post-contrast, study (pathology), MIP (Axial, coronal, sagittal), Region of Interest MIP (structure labeling), 3D VRT-bone removal.Conclusion: Scanning technique with bolus tracking and ROI monitoring of the Internal Carotid Artery and using triggering of 100-120 HU as a peak enhancement on ROI monitoring can display the arterial artery image very well so that it can be post-processed easily without reducing quality and related image information.
Architecture of Deep Learning and Its Applications

Recently, Deep Learning (DL) has accomplished enormous prosperity in various areas, like natural language processing (NLP), image processing, different medical issues and computer vision. Both Machine Learning (ML) and DL as compared to traditional methods, can learn and make better and enhanced use of datasets for feature extraction. This paper is divided into three parts. The first part introduces a detailed information about different characteristics and learning types in terms of learning problems, hybrid learning problems, statistical inference and learning techniques; besides to an exhausted historical background about feature learning and DL. The second part is about the major architectures of DL with mathematical equations and clarified examples. These architectures include Autoencoders (AEs), Generative Adversarial Networks (GANs), Deep Belief Networks (DBNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Recursive Neural Networks. The third part of this work represents an overview with detailed explanation about different applications and use-cases. Finally, the fourth part is about hardware/ software tools used with DL. Index Terms— Deep learning, Machine Learning, Neural Network, Network architecture.
A Review: E-voting Security in Mobile Fog computing

Conventional voting activities are often replaced by electronic voting (EV) in light of the quick expansion of the Internet. For a variety of reasons, various nations have lately switched to EV rather than conventional voting. Different EV systems were presented up to this point. In both practical and theoretical fields, on the other hand, there is no perfect solution. To meet such objectives, the researchers strive for preserving cryptographic primitives when developing high-efficiency e-voting schemes. The concept of fog computing was developed to improve network infrastructure to satisfy the demands of large amounts of data the same time as also increasing the efficiency of the processing power. Also, it has been created as well to address concerns with Cloud computing, like the distribution environment complexity, real-time response, mobility, and IoT application location awareness. The concentration of this study was on a complete review regarding the systems of EVs through various scholars as a platform to detect flaws or problems in the deployment of extremely secure EV systems. In addition, nations having a history of EV system adoption were examined. A concept for future work on establishing a safe EV system depends on problems discovered in numerous works. Index Terms— fog computing, security, E-voting, cryptographic, cloud computing.
Dynamic Model Based on the Gaming Argumentation Framework (DGAF): Foreign Exchange Market as A Case of Study

argumentation has become an attraction recently, because it is widely used in decision-making, at 1994 Dung invented a new argumentation model, called Argumentation Framework AF. This system investigates assaults of arguments, and it also works away on attributes, this model is designed to take care of argument attacks among them, without paying attention to how the sentences are formulated or arranged, and identify the supporting and supporting arguments. It is also possible for a group of experts, to evaluate arguments to resolve the debate about the current problem, by determining the extent to which a particular argument affects the other by attacking it, This framework was a comprehensive new system, called the gaming argumentation framework (GAF), It helps make decisions about the current problems, through making Claims and Attack Determinations (CAD) to arguments, and after that, putting the result of those CAD to game theory, with 2 players for the purpose of achieving final results, which are helpful for decision-makers, in making decisions concerning current problems. The present paper gives a proposed system, using the GAF to build the dynamic model based on the gaming argumentation framework (DGAF); it as works as the GAF by adding the feedback to suit all possible conditions, and by making a companion between them, the argumentation and the game theory. Since the foreign exchange market depends on changing conditions, it was a case study. Index Terms— argumentation, physical weight, initial list, dynamic list, final list, game theory, Nash equilibrium.
Data Analytics and Blockchain: A Review

Blockchain technology relies on cryptographic techniques that provide various advantages, such as trustworthiness, collaboration, organization, identification, integrity, and transparency. Meanwhile, data analytics refers to the process of utilizing techniques to analyze big data and comprehend the relationships between data points to draw meaningful conclusions. The field of data analytics in Blockchain is relatively new, and few studies have been conducted to examine the challenges involved in Blockchain data analytics. This article presents a systematic analysis of how data analytics affects Blockchain performance, with the aim of investigating the current state of Blockchain-based data analytics techniques in research fields and exploring how specific features of this new technology may transform traditional business methods. The primary objectives of this study are to summarize the significant Blockchain techniques used thus far, identify current challenges and barriers in this field, determine the limitations of each paper that could be used for future development, and assess the extent to which Blockchain and data analytics have been effectively used to evaluate performance objectively. Moreover, we aim to identify potential future research paths and suggest new criteria in this burgeoning discipline through our review. Index Terms— Blockchain, Distributed Database, Distributed Consensus, Data Analytics, Public Ledger.
A Proposed Algorithm for Hiding a Text in an Image Using QR Code

In this paper, an algorithm to hide information in an image using QR code technology is presented. QR Code “QUICK RESPONSE CODE” is a two-dimensional array that can include different types of data and was first developed in 1993 for the Japanese Toyota Corporation for the purpose of tracking products through production and marketing. The researchers paid great attention to QR code technology especially in the field of information security. The proposed algorithm in this paper hides the secret text in the image in a random way by generating random positions and using the LSB “Least Significant Bit” method. After that, the random positions are saved in the QR code file, and this is the hiding stage. In the extraction stage, the QR code file is read first to extract the positions where the secret text has been hidden. After that, the secret text is read according to the LSB method. The algorithm was implemented using the C-Sharp programming language and Microsoft Visual Studio 2019 development environment. After conducting experiments on a number of images and extracting results based on the PSNR “Peak signal-to-noise ratio “test method, the results were good and the algorithm is very strong against a brute force attack. This algorithm can be used in building authentication systems. Index Terms— Information Security, Text Hiding, QR Code, LSB Steganography, Random Position, LSB.