Reviewerly/exHarmony huggingface dataset:
Analisis bentuk tugas belajar bahasa Indonesia tema 5 selama pandemi covid-19 pada siswa kelas V sekolah dasar

&lt;p&gt;Analysis of the form of theme 5 Indonesian learning tasks that were done at home during the Covid-19 pandemic (for class V SD N 02 Sapen Sukoharjo students in the 2020/2021 school year). The purpose of this study was to determine the form of theme 5 Indonesian language learning tasks that were carried out at home during the Covid-19 pandemic and the problems students encountered. This research is qualitative research with a qualitative descriptive method. Data and data sources come from teachers and students. With the number of research subjects, students of class V SD N 02 Sapen Sukoharjo totaling 21 students. Data collection techniques using interviews, questionnaires, and documentation. The validity test used source triangulation and technical triangulation. Data analysis using interactive analysis techniques. The research procedure uses Moleong's opinion. The results showed that the form of theme 5 Indonesian language learning tasks, the task of listening to monologues included listening to the teacher's explanations in the form of learning videos conveyed by the teacher through the Whatsapp group. The form of reading assignments is in the form of perceptive, selective, and interactive reading. The form of writing assignments is in the form of intensive writing. The problems encountered by students were mostly in the form of facilities, namely in the form of devices. Most of the students still use their parents' devices.&lt;/p&gt;
Improving Student`s Reading Comprehension Through Project Based Learning. (A Collaborative Classroom Action Research at the Third Grade of MTs Sirajul Af’idah Gunungsari- Serang- Banten)

Emah Hujaemah: 161230035. 2020. “ Improving Student`s Reading Comprehension Through Project Based Learning “. (A Collaborative Classroom Action Research at the Third Grade of MTs Sirajul Af’idah Gunungsari- Serang- Banten).This study aims to improving student`s reading comprehension through project based learning a collaborative classroom action research at the third grade of MTs Sirajul Af'idah - Serang - Banten. This type of research is a collaborative Classroom Action Research (CAR). The model in this research use Kemmis and Mc Taggart model. The subjects of this study were third grade students of MTs Sirajul Af'idah - Serang - Banten consisting of 10 male students and 20 female students. The data collection technique in this study uses tests, and observations.Qualitative data collection instruments use observation sheets and quantitatively use reading comprehension tests. Data analysis technique used is quantitative and qualitative data descriptive analysis. This study shows that the use of method project based learnig and flip chart media project can improve reading comprehension on narrative text of eighth grade students of MTs Sirojul Af'idah-Gunungsari. Improved reading comprehension is evidenced by the grade point average of 61.3 rising to 77.7 and 85.8. The percentage of achievement of the average score of reading skill has increased on pre-action 36%, in cycle I 66%, and in cycle II is 93%. The result ofreading comprehension test after the implementation of learning comprehension reading by method project based learning flip chart media project continue to increase and show effectiveness in learning to improve reading comprehension ability in students of Class IX B MTs Sirojul Af'idah - Gunungsari. The increase is implied by the success indicators of the process and the product in each cycle.
Switching deep reinforcement learning based intelligent online decision making for self-organizing autonomous systems under unstructured environment (Conference Presentation)

In this paper, finite horizon intelligent decision-making problem has been investigated for self-organized autonomous systems especially under unstructured environment. According to the latest studies, the uncertainty of environment will seriously affect the effectiveness of decision making especially for autonomous systems. To handle these issues, transfer learning, and deep reinforcement learning has been presented recently. However, those existing Learning algorithms commonly needs a large set of state-space which cause the algorithm to be time-consuming and not suitable for real-time application. Therefore, in this paper, a library of polices trained using Deep Q-Learning under similar environments is built and implemented.
FACTORS AFFECTING THIRD LANGUAGE ACQUISITION: A CASE OF CHINESE STUDENTS

D. Dudkova1, K. Grigorieva1, M. Lukoyanova1, N. Batrova1, E. Chugunova2 1Kazan Federal University (RUSSIAN FEDERATION) 2Kazan National Research Technical University named after A.N.Tupolev-KAI (RUSSIAN FEDERATION)
THE INFLUENCE OF LITERATURE DIGITALIZATION ABILITY AND WILLINGNESS TO DEVELOP ON STUDENT ACHIEVEMENT OF THE FACULTY OF APPLIED TECHNOLOGY UNSUR

Academic achievement is one of the measures of student success when attending formal education level. Students who excel academically have their own pride because they have different opportunities compared to students who do not excel. These opportunities are in the form of opportunities in obtaining scholarships or opportunities for a career in a prestigious company. No wonder every student competes for better academic achievement. This study was conducted to look for factors that influence the success of students academically. Many other studies try to explore these factors, one of which is the motivational factor. With the presence of data in all the times including the world of education that tries to do the process  of learning online with flatform digital. Of course, there is one factor that is still rarely  studied by some researchers, namely the digital ability factor of students in the era of literary digitization today. The researchers tried to explore this factor by conducting a survey method study of 33 ELEMENT students. From data processing using SPSS, it was found that there is a significant influence between students' digitalization ability on academic achievement but the influence of willingness to progress has no effect on academic achievement.
PENINGKATAN PRESTASI BELAJAR MENCERITAKAN ISI HIKAYAT MELALUI PENERAPAN METODE INQUIRY-BASED LEARNING

The Difficulty learning Indonesian experienced by students of IX-D MTs Negeri 2 Mojokerto is reflected in the low value of daily tests about telling stories. In this classroom action research, the authors apply the inquiry-based learning method, so that the teaching and learning interactions can achieve the expected results. The application of the inquiry-based learning method in this research to improve student achievement in the material of telling story content in Indonesian language lessons begins with assigning students to observing the film trailer as shown in front of the class. Students record anything that happen in the saga. In advanced learning activities, students are given the task of compiling an outline of the saga that they have read or seen. Students compile a descriptive text from an essay framework that has been formed in their own language. Based on the results of the research, it shows the conclusion that the application of the inquiry-based learning method can improve student learning outcomes in the material of telling story content in Indonesian language lessons based on the post-test score which continues to increase from the first to the second cycle.
Sharing inside threat indicators: examining the potential use of SWIFT's messaging platform to combat cyber fraud

Cyber actors are operating under a shared services model giving them access to infrastructure, tools, targets and the ability to monetize their exploits. As a result, organizations across industries must enhance communication channels to share threat information in order to preempt cyber fraud schemes. This requires both an ability to identify the patterns of behavior that indicate cyber fraud activity is occurring and a platform for communicating potential threat information. This report focuses on identifying the patterns of behavior typically indicative of efforts by criminals to use insiders to cash out on fraudulent activity. The objective of this research is to explore the potential for organizations to use an existing telecommunication platform, such as SWIFT, to communicate cyber fraud threat information by establishing indicators of cashout behavior, which could warn of cyber fraud activity.
Parameterizing SIFT and Sparse Dictionary for SVM Based Multi-class Object Classification

To build a general-purpose object recognizer, capable to recognize many different classes of objects is the most challenging task. Spatial pyramid matching (SPM), an extension and revision of bag-of-feature (BoF) computes histograms of native features at various levels of resolution. The support vector machine (SVM) using SPM gained large popularity in object classification. However, its uses are trivial due to the large computational cost and limited classification accuracy for very large classes of objects. This paper presents an extension of SPM based on tuneable SIFT sparse code using multi-class SVM to enhance the performance by encoding the SIFT features into sparse code and tuning its parameters. The various experimental studies are presented in the paper to investigate the effect of SIFT parameters to achieve better sparsity in the dictionary. During the number of experimentation, parameter tuning in SIFT feature extraction with linear-kernel SVM has improved the recognition accuracy for the datasets having a large number of classes and a huge number of images for each class. The comparison with state-of-art concludes that optimum tuning of the parameters of SIFT can minimize the feature vector size reducing the computational cost and achieving higher classification accuracy.
UNDERSTANDING DIFFERENT TEXT TYPES IN THE SEVENTH GRADE OF PRIMARY SCHOOL

Good reading comprehension skills are a basic need in the modern world. It is not only one of the most important areas of native language competence, but also one of the essential pillars of today’s information-centred society and can be called the intellectual capital of society. In the 21st century, education focuses on improving the reading comprehension of students all over the world, intending to develop the best possible reading comprehension skills.The topic of our research is the assessment of reading comprehension skills of seventh-graders in primary schools with Hungarian as the language of instruction in Slovakia. This research aims to assess how the nature of text types affect the reading comprehension of students. The target group was seventh-graders from primary schools with Hungarian as the language of instruction in Eastern, Central, and Western Slovakia.A total of 315 students took part in the survey. We aimed to conduct a representative survey so that 10% of seventh-graders of primary schools with Hungarian as the language of instruction in Slovakia took part in the survey. The reading comprehension test to assess reading comprehension skills included three different types of text – narrative, expository, informative – and a total of 21 questions. Most of them were open-ended questions requiring short or long explanations.The analyses of the results divided into text types show that explanatory texts proved to be the easiest to understand and the informative text the most difficult for the examined age group. The results indicate that students were able to understand better those types of texts that they had already learned about at school. The exact interpretation of the informative text type was a problem, which is thought-provoking, as this type of text occurs most often in different areas of everyday life.With the results of this research, reading comprehension can be studied in a complex way, so that not only is there a constant emphasis on the importance of reading comprehension in education, but with the knowledge of an accurate diagnosis, actual development is possible.
PENGEMBANGAN LKPD BERBASIS PROBLEM SOLVING PADA MATERI LITOSFER SISWA KELAS X SMA NEGERI 3 TEBING TINGGI

The purpose of this study was to produce a problem solving based student worksheet product on the lithosphere material of class X SMA Negeri 3 Tebing Tinggi that was valid, practical, and effective. Schools try to provide learning tools that can support student learning activities, one of which is LKPD. LKPD has a function to measure the abilities possessed by students. LKPD is a ready-to-use worksheet, containing learning material and questions. The method used in this research is research and development. Based on the research results, the material expert validation sheet obtained an average value of 3.68 which is categorized as very good, and the total score is 70. On the media expert validation sheet, an average value of 2.83 is categorized as good, and the total score is 48. The resulting percentage is 480. On the linguist validation sheet, an average value of 3.6 is obtained which is categorized as very good, and the total score is 36. In the calculation results, the practicality level of the product reaches 99.97% and is categorized as very practical. Then on the results of the effectiveness of the product, the gain was 2.9, so it can be categorized as high. On the average result, the pre-test score is 69.66 and the post-test score is 89. There is a difference in the number of 19.34 and it is stated in the gain results. It can be said that there is a significant difference between the pre-test and post-test results.
Efficient Wireless OFDM for Secure Force Encryption Algorithm Images

Security one of the important features in wireless communication is very crucial to protect information of the subscribers and avoid fraud. This paper is to look into the influence of Gaussian, Rayleigh fading channel and low computational complexity to the performance of various types of the OFDM as the fast Fourier transform (FFT) based orthogonal frequency division multiplexing (OFDM),the discrete cosine transform (DCT) based OFDM and the discrete wavelet transform (DWT) based OFDM of the wireless of the Secure Force (SF) encryption algorithm images. Zero Forcing (ZF) equalization and simple filters are utilized in this paper as a tool to enhance the communication system performance. Two well-known performance criteria: Mean Square Error (MSE)and Peak Signal Noise Ratio (PSNR) to evaluate results.Keywords-Discrete; Encryption; fading;Rayleigh; Secure Force; transform;.wavelet.
Locality Sensitive Hashing for Efficient Similar Polygon Retrieval

Locality Sensitive Hashing (LSH) is an effective method of indexing a set of items to support efficient nearest neighbors queries in high-dimensional spaces. The basic idea of LSH is that similar items should produce hash collisions with higher probability than dissimilar items.We study LSH for (not necessarily convex) polygons, and use it to give efficient data structures for similar shape retrieval. Arkin et al. [Arkin et al., 1991] represent polygons by their - a function which follows the angle between the polygon’s tangent and the x-axis while traversing the perimeter of the polygon. They define the distance between polygons to be variations of the L_p (for p = 1,2) distance between their turning functions. This metric is invariant under translation, rotation and scaling (and the selection of the initial point on the perimeter) and therefore models well the intuitive notion of shape resemblance. We develop and analyze LSH near neighbor data structures for several variations of the L_p distance for functions (for p = 1,2). By applying our schemes to the turning functions of a collection of polygons we obtain efficient near neighbor LSH-based structures for polygons. To tune our structures to turning functions of polygons, we prove some new properties of these turning functions that may be of independent interest.As part of our analysis, we address the following problem which is of independent interest. Find the vertical translation of a function f that is closest in L₁ distance to a function g. We prove tight bounds on the approximation guarantee obtained by the translation which is equal to the difference between the averages of g and f.
Components and Styles

Due to the fact that the DOM might be isolated, the styles are isolated too. The advantage is primarily the ability to use styles without knowing and disturbing any globally assigned styles. The disadvantage might be the reduced usability of global styles.
Application of Waterfall SDLC Method in Designing Student's Web Blog Information System at the National University: Application of Waterfall SDLC Method in Designing Student's Web Blog Information System at the National University

Web Blog as a means of writing for several people, including writers. The design of this web blog information system aims for students to make work in the form of articles about knowledge, personal experience, tutorials, or troubleshooting, news and others, about any writing that is not violates the rules of writing or can hurt the relationship / offend others. Web applications / services make it easier for users to publish an information they have through writing that is made into a post on a web. The blog also consists of various texts, images, hypertext, and several links (which connect several pages - pages from other web sites, audio, video, and other files). Students can interact and share all the information in the National University room with the aim to help students get the information sought. The software development method is done by using the SDLC Waterfall method. This website that is used dynamically presents information that is always up to date. From the results of research that has been carried out the author implements the results of these studies on: Design of the National University Web Blog Blog Information System Using the Waterfall Method.
Designing Blockchain based services

Distributed Ledgers or Blockchain-based systems have the potential to provide enablers for the development of future services. By combining deep encryption, tamper-proof transparency and secure personal data to a wide variety of services, there are great opportunities for the development of new services.In developing new service experiences that capitalise on the potential benefits of Blockchain, there are a number of key challenges. These include:Emerging opportunities for services provided by blockchainBlockchain as an Identity EnablerPublic perceptions and confusion about blockchainIssues of privacy, mistrust of data storage and possible leakageDesign methodologies for services to guide users through new blockchain automated andfrictionless experiencesThis short practice-based paper presents a case study and reflects on the learnings and experience of designing services utilising blockchain technology for digital identity. The paper identifies issues and problems and provides a comprehensive review of the benefits to establish a framework for designing services around distributed ledger blockchain based services.
Evaluating Grouped Spatial Pack Convolutions on Edge CPUs

Grouped convolutions are a drop-in replacement for standard convolutional layers in neural networks. With an adjustable scaling parameter - the number of groups g - they reduce the number of parameters and multiply-accumulate operations (MACs) at the expense of representational power. However, current implementations of grouped convolutions do not perform optimally. In this paper we discuss Grouped Spatial Packed Convolutions (GSPC), a new approach to grouped convolutions, implemented in TVM’s tensor compute language. We analyse a set of networks leveraging the full range of the g parameter, and evaluate their performance in terms of inference time. We observe that GSPC achives the best performance in all settings, improving the existing implementations of grouped convolutions in TVM, PyTorch and TensorFlow Lite by 3.4x, 8x and 4x on average respectively. Code is available at https://github.com/gecLAB/tvm-GSPC/
Data Warehouse Analisis Kinerja Operasi Online Analytical Process (OLAP) Pada Pemodelan Skema Galaksi Menggunakan Data Perpustakaan PCR: Performance Analysis of Online Analytical Process (OLAP) Operations on Galaxy Schema Modeling Using PCR Library Data

The PCR Library is a place to look for basic references in engineering to other general knowledge with collections recorded 5,477,618. Currently the PCR library has a transactional website, which can store library transactions, such as input, delete, and edit data. In order for this data to be useful, a data warehouse application is built by applying multidimensional data modeling using historical library data. The data warehouse modeling used is a galactic scheme by implementing OLAP operations that produce a dashboard in the form of lending patterns and returns to the PCR library. The results of functionality testing indicate that the application is in accordance with user needs and runs according to its function. From the results of usability testing, obtained very good results regarding the ease of use of the application, easy to learn, satisfying and useful for the user. Efficiency test results obtained grade B for average page speed, grade A on YSlow, and load time 1.9 seconds. From the test results stated that the applications that have been built meet ISO 9126 quality standards.
PENERAPAN METODE PAKEM MELALUI MEDIA BLOG UNTUK MENINGKATKAN KETERAMPILAN MENULIS PUISI PADA SISWA KELAS X DI SMA NEGERI 10 BONE

Abstract: Application of the PAKEM Method through Blog Media to Improve Poetry Writing Skills in Class X Students of SMA Negeri 10 Bone. This study aims to determine the application of the Pakem method through the blog method in improving poetry writing skills in class X students at SMA Negeri 10 Bone. This type of research is Classroom Action Research (PTK). The subjects in this study were 30 students of class X SMA Negeri 10 Bone. Data obtained by field notes, observation sheets, tests, interviews, and photo documentation. Using quantitative and qualitative data. The test result data shows that the average value obtained by students in the first cycle is 50 with a complete score of 20% and 60% and 20% for students who do not participate in writing poetry activities. As for the second cycle, the average value was 81 with a complete score of 90% and an incomplete score of 10%. The percentage increase in completeness from cycle I to cycle II was 31% and classically students get an average score above 75. The results achieved have met the predetermined targets. The increase in the average score is to support learning to write poetry through the PAKEM method with blog media. Keywords : Pakem Method, Media Blog, poetry.
Διαφήμιση στις μηχανές αναζήτησης: Μέθοδοι Search Engine Optimization (S.E.O) και Paid Placement

This paper analyzes the two main methods of search engine marketing. Using bibliographic research, reference was made to the evolution of advertising in modern digital media, with special emphasis on the internet. Also, extensive reference was made to the general advertising in the search engines and the tools used in the specific environment. Furthermore, the various techniques and factors that affect the SEO and Paid Placement methods were analyzed. Evaluation criteria were then set up to compare the methods in order to determine the more efficient of the two. Research has concluded that SEO is more effective but combining it with paid placement is the best strategy. Finally, a brief guide was created to combine the two methods by small, medium and large enterprises.