Reviewerly/exHarmony huggingface dataset:
The methods of training of the Patrol-Guard Service officers in the midst of the novel coronavirus infection

The research subject is the methods of practical training of the Patrol-Guard Service officers via in-person learning and the inclusion of the distance learning techniques in the midst of the novel coronavirus infection (COVID-19). The research object is legal relations emerging in the process of formation of new educational methods in the midst of the novel coronavirus infection (COVID-19). The author analyzes the situation in the educational sphere connected with the use of various elements of in-person and distance teaching of the Patrol-Guard Service officers. The scientific novelty of the research consists in the consideration of elements of in-person and distance learning and in searching for the balance between these types of learning, and in the formation of the concept of blended learning and the analysis of its effectiveness in the current situation. The author&amp;rsquo;s contribution to the study of the topic is the analysis of the possibility to integrate blended learning and theoretical distance learning at the first stage, and practical in-person learning at the second stage into the system of block-module-based education used at the educational institutions of the Ministry of Internal Affairs of Russia. The author concludes that the use of the blended method of teaching allows achieving a high-level of training of the Patrol-Guard Service officers in the period of restrictions caused by the novel coronavirus infection (COVID-19).&amp;nbsp; &amp;nbsp;
PRESERVASI ARSIP FOTO DIGITAL INDIVIDUAL: KAJIAN PADA MAHASISWA MIP UGM ANGKATAN 2018-2019

This study aims to determine the preservation activities of individual digital photo archives by students of MIP UGM force 2018-2019. This research use descriptive statistic method. The population of this research is MIP UGM student force of 2018-2019 which amounted to 36 people. Data collection techniques used questionnaires, which refers to the preservation framework of individual digital photo archives developed by the Library of Congress, includes: identify, decide, organize, and make copies. The results showed: 1) identify the storage of photos. At this stage, it is known that all or equal 100% of the number of respondents store a collection of digital photos on a computer / laptop. 2) decide to determine the most important photo to be saved. At this stage, almost entirely or equal 90% of the total respondents have applied it well. 3) organize the activities of grouping photos. This stage has not been considered well by the respondents in preservation of digital photo archives. The Most or equal 60% of respondents have grouped photos using a folder system based on year, location, person, and activity at the time the photo taken. However, only a small part that gives the name or description on each photo file, so this will be difficult in the image retrieval process. 4) Making copies of photos. At this stage, most or equal 60% of respondents have made copies of photos and stored them on different media, both online and offline.
Creating custom APIs to solve shortcomings in existing JavaScript Front-End Frameworks

The technology of creating web-based applications has been expanding and making better user interfaces that can support many different focus groups, such as building a website that is flexible and ...
OBJECTIVE OF THE RESEARCH IS TO IDENTIFY THE STUDENTS’ ABILITY IN COMPREHENDING READING OF NARRATIVE TEXT

Reading comprehension is Otto states that reading comprehension is a multiplication affected by various skills based on the statement. At comprehending text, reader has to find the main ideas that will determine the quality of their reading comprehension. From the definition above, the writer can conclude the reading is not just saying the word. To reach the goal, the researcher used descriptive quantitative or survey. The population Reading must be always meaning getting process. Many people can read the words in a passage perfectly, but are unable to answer the question even though the answers were directly contained in the words they pronounced. This study was aimed to The objective of research to investigate ability in comprehending reading of narrative text find out of this research is all students at the seventh grade of MTs Al-Huda Banjarmasin consisted of 132 students while the sample is all students at the seventh grade A of MTs Al-Huda Banjarmasin with number of students are 34. To collect the data the researcher used document analysis (result of their reading comprehension test conducted by the English teacher). Then To analyze the data the researcher used descriptive statistics formula with the help of SPSS version 16. to find out the mean score, standard deviation, median score, mode score, minimum score, maximum score and percentage. Result of analysis shows that the mean score is 78.38, standard deviation is 8.766, median score is 77.50, mode score is 75, minimum score is 65, and maximum score is 95. Meanwhile for the percentage, the result shows that 17.65% students are in excellent category, 32.35% students are in very good category, 50% students are in good category, but 0% student is in average and also in bad category. Based on the result of analysis it can be concluded that students’ ability in reading comprehension is in reading category. Therefore it is suggested to the English teacher to should teach strategies of reading to the students in order to increase their ability in comprehending reading of narrative texts.
SQLite Sebagai Pengganti Lucene.Net pada Pencarian Produk Toko Online

A business institution can promote their products in its online shop. With the promotion of online stores, consumers can find out which products are sold at the store. Consumers who are looking for a product can search based on various attributes of goods that are scattered in various fields in the database table, and can even be spread across different tables. All attributes that point to an item are collected in one document which will be searched using the Full Text Search system. Two alternatives to the Full Text Search system were selected; Lucene.Net and Sqlite Full Text Search. Before actually being used, these two search system alternatives were tested first. In document storage size, Lucene.Net is superior by 6.78 times. The speed of writing Sqlite search documents is superior by between 1,875 times to 5,197 times. In terms of key search speed, Lucene.Net was superior by between 1,169 and 1,698 times. Based on the consideration of the speed and development of Lucene.Net Core which is still in beta stage, Sqlite Full Text Search is suitable for use in the product search process in the Online Store.
Pembelajaran Jarak Jauh: Bagaimana Model Pembelajaran yang Efektif

This research aims to identify the readiness, perceptions and preferences of students in undergoing online distance learning. This research will also propose an effective online learning model design. Data obtained from 362 students through a questionnaire using a Likert scale. The results showed that in general the students were ready to carry out the distance learning process online. Apart from using live conference media, students feel that the use of teaching videos made by lecturers who teach courses is an alternative that can be chosen when quota and internet signals are the main problems. The time for material distribution which is carried out at least a day before the lecture schedule is also considered to be more effective. Meanwhile, the evaluation process should be carried out for each material topic. Thus, the allocation of lecture time, the teaching media used, the time for material distribution and evaluation techniques are some things that should be considered so that online learning can be effectively. Keywords : effective; on line learning; preference; readiness
A Gamification of Japanese Dependency Parsing

Gamification approaches have been used as a way for creating language resources for NLP. It is also used for presenting and teaching the algorithms in NLP and linguistic phenomena. This paper argues about a design of gamification for Japanese syntactic dependendency parsing for the latter objective. The user interface design is based on a transition-based shift reduce dependency parsing which needs only two actions of SHIFT (not attach) and REDUCE (attach) in Japanese dependency structure. We assign the two actions for two-way directional control on a gamepad or other devices. We also design the target sentences from psycholinguistics researches.
Comparison and Analysis of FPS Mobile Game Interaction Design

The rapid development of the mobile internet has gradually changed the carrier of electronic games from PC to mobile. mobile games have become an excellent choice for many people to spend their spare time and enjoy life. Among many types of mobile games, Number of users of FPS games has increased rapidly in recent years. Based on the 《Emotional Design》proposed by Donald Norman, this article compares the interaction design of China's most popular FPS game《Game for peace》 and Korea's most popular FPS game 《PUBG》, and analyzes their similarities and differences, and then use that as a basis to summarize the three levels of emotional design-Visceral level, Behavior level, and Reflection level, which is the user interface, interaction mode, and interaction experience in interaction design Emotional expression on the two games. This theory provides suggestions for interactive design in the information industry such as mobile games.
ONLINE LEARNING OF INDONESIAN LANGUAGE IN PRIMARY SCHOOL (MADRASAH IBTIDAâ€™IYAH) ON INSTRUCTION TEXT IN COVID-19 PANDEMIC

The research aimed to described (1) Online learning scenarios which is doing by teachers during the COVID-19 pandemic on instruction text learning, (2) Difficulties of students and teachers experience when implementing on instruction text learning in the pandemic,(3) Student and teacher responses to online learning during the pandemic on instruction text learning, and Â (4) Differences in studentsâ€™ knowledge and skills of instruction text learning in online learning. The research was conducted for 1 month in September 2020. The subjects of study are two teachers and fourth grade students of MI Muhammadiyah 2. The research procedure used was descriptive statistics. Data collection techniques in this research through online interviews. The results of MI Muhammadiyah 2 online learning research during the COVID-19 pandemic show that : (1) Online learning scenarios which is doing by teachers during the COVID-19 pandemic are Distance Learning and continue to make lesson plants that are simply arranged and contain the main things including preâ€“activities, core activities and postâ€“activities. (2) Difficulties of students and teachers experience when implementing on the instruction text learning in the pandemic were 80% in the moderate category and 20% in the low category, 3) Student and teacher responses to online learning during the Â COVID-19 pandemic was 20% showing positive responses, 40% showed neutral responses and 40% showed negative responses. (4)The results of the calculation of Asymp (2 â€“ Failed) reached 0,118. The data shows that 0,118 is greater than 0,05. So it can be concluded that students have different knowledge and skills of instruction text learning in online learningÂ Keywords: distance Learning, COVID-19, Online learning
ANALISIIS FAKTOR – FAKTOR YANG MEMPENGARUHI KINERJA SISTEM INFORMASI AKUNTANSI PADA PT. BINA AREA PERSADA

To analyze the factors that influence the performance of accounting information systems is a goal that researchers want to achieve. Retrieval of data by distributing questionnaires to respondents, then analyzing the data that has been obtained and then draw conclusions. The results of respondents' answers by using several tests such as validation tests and so on to support more valid results and the results can be justified. The results show that the Capability of Personnel Techniques, Management Support, User Engagement and User Education and Training affect the performance of the accounting information system
Analysis of Multidimensional Poverty Indicators in Indonesia with Association Rules

This study was conducted to find patterns of relationships between 14 multidimensional poverty indicators in Indonesia from 2015-2019. To provide a more specific description of the relationship pattern, association rules with the apriori algorithm is used as the analysis method. The preprocessing stage to transform data was carried out using fuzzy functions and data reduction with Multiple Correspondence Analysis (MCA) to support the association analysis process. The results obtained are 15 relationship patterns or rules between items from the multidimensional poverty indicator with a support value of 60%-80% and 100% confidence. This means that the relationship pattern is significantly formed from objects with a strong relationship between the items and can represent poverty records in the last five years. The relationship pattern consists of four combinations of things. Suppose there is a high category decrease in the percentage of poor people indicator, a low category decrease in the open unemployment indicator, a high category increase in the percentage of households indicator according to the source of lighting from electricity, and a low category increase in the percentage indicator of households according to the broadest wall, not bamboo / other. In that case, there is a reduction in multidimensional poverty in Indonesia.
Sistem Preventive Maintenance Berbasis Web dengan Menggunakan Algoritma Priority Scheduling pada PT. Beta Pharmacon

PT. Beta Pharmacon in the actual preparation of Preventive Maintenance (PM) schedules and input of reports or preventive results data still uses Microsoft Excel, and preventive schedules that have been made are sometimes not following the actual because the machine cannot be maintained (the production process has not been completed) so that the schedule has been completed. Determined to change and to confirm whether preventive maintenance can be done every day, still by telephone. Based on the above problems, a web-based Preventive Maintenance System will be created using the priority scheduling algorithm. The web is built using the CodeIgniter framework and database using MySQL. With this system, it can facilitate scheduling of preventive maintenance, data collection of machines and tools in the company, search for data on preventive maintenance results, coordination of the implementation of preventive maintenance, so that it can provide the information needed effectively and efficiently.
Resolution with Symmetry Rule applied to Linear Equations

This paper considers the length of resolution proofs when using Krishnamurthy's classic symmetry rules. We show that inconsistent linear equation systems of bounded width over a fixed finite field $\mathbb{F}_p$ with $p$ a prime have, in their standard encoding as CNFs, polynomial length resolutions when using the local symmetry rule (SRC-II). As a consequence it follows that the multipede instances for the graph isomorphism problem encoded as CNF formula have polynomial length resolution proofs. This contrasts exponential lower bounds for individualization-refinement algorithms on these graphs. For the Cai-Fürer-Immerman graphs, for which Torán showed exponential lower bounds for resolution proofs (SAT 2013), we also show that already the global symmetry rule (SRC-I) suffices to allow for polynomial length proofs.
SISTEM PENGELOLAAN KEARSIPAN GOOGLE MELALUI BIG DATA

This article examines the use of Big Data technology for the records and archives administration system in the contemporary era. Big Data can be defined as a collection of data that is extremely large and complex which cannot be dealt with the traditional data processing software. This technology makes it possible to store large amounts of data and can be accessed quickly. By implication, Big Data served sufficiently as a digital records and archives administration system. One of companies in the world that uses Big Data as a digital system is Google. Inc. This phenomenon is quite new in the contemporary era, hence it is quite interesting to see "how Google manages its records and archives administration system through Big Data". In line with the previous question, this article aims to find out how Google manages its records and archives administration system through Big Data. This article uses a qualitative research method through the literature review. The data used in this article is from the secondary data sourced from books and journal articles. One of the important findings in this article is that Google uses a distributed storage system to manage structured data called Bigtable. Bigtable makes the other Google services operate, so it can be stated that Bigtable is a fundamental system in Google. Although there are quite a few Google services which use Bigtable as the base, there are three main services that everyone use the most, namely Google Analytics, Google Earth, and Personalize Search. Through this Big Data technology, it can be seen that the archive management can use not only the conventional methods, but also the latest technology.
ANALYSIS OF THE EFFECTIVENESS OF CONSENSUS-BUILDING ALGORITHMS IN DISTRIBUTED DATA PROCESSING SYSTEMS BASED ON BLOCKCHAIN TECHNOLOGY

The authors of the article consider consensus-building algorithms that are central to the life cycle of transactional exchange between nodes of a DDPS (Distributed Data Processing System) based on blockchain technology. The term under consideration is formally defined. It is proved that when developing these algorithms, it is necessary to choose the main indicators and methods for calculating them, which can be used to evaluate their effectiveness. The process of false forking is described in detail, and the probability of its occurrence is calculated in order to assess the security of data stored in the distributed ledger. When analyzing existing consensus-building algorithms based on statistical data, it is shown that the Byzantine Fault Tolerance Delegated Proof-of-Stake (BFT-DPoS) algorithm has a higher level of efficiency not only in terms of security, but also in terms of performance compared to other algorithms. There is a lack of comprehensive evaluation of candidates for winning Registrar nodes that generate (mining) blocks and distribute them to verifier nodes. It is concluded that the elimination of the above-mentioned drawback would provide a more correct construction of the distributed ledger, since most of the existing algorithms are focused on applicability only in cryptocurrency systems and are not universal. To solve this problem, we propose the need to synthesize the BFT-DPoS and Proof-of-Importance algorithms in order to make it applicable to any type of DDPS using distributed ledger technology (blockchain).
Artistic Practices in Digital Space: An Art of the Geometries of Movement?

Tamar Flash, Alain Berthoz, and Daniel Bennequin have suggested that we, humans, are using different cognitive geometrical strategies to perceive space depending on the type of environment, the action we perform, and the spatial distance of its realization with respect to the observer. Various brain networks using different geometries are involved in these different action spaces. Therefore this type of perceptual structuring of our environment should also influence the way we represent in arts the spaces that surround us. Here we hypothesize that it should be possible to find structural analogies between these different perceptual geometric strategies and the modes of representation used in different visual arts such as in painting, sculpture, traditional and stereoscopic cinema, and new forms of spatial mediation, immersive spaces, and virtual reality. We give examples of pictorial representations, which suggest that that the notion of “formats” in visual arts, which are still used by creators, could be explained by their capacity to express the different dimensions of expression of the “geometries of movement.”
Handling many conversions per click in modeling delayed feedback

Predicting the expected value or number of post-click conversions (purchases or other events) is a key task in performance-based digital advertising. In training a conversion optimizer model, one of the most crucial aspects is handling delayed feedback with respect to conversions, which can happen multiple times with varying delay. This task is difficult, as the delay distribution is different for each advertiser, is long-tailed, often does not follow any particular class of parametric distributions, and can change over time. We tackle these challenges using an unbiased estimation model based on three core ideas. The first idea is to split the label as a sum of labels with different delay buckets, each of which trains only on mature label, the second is to use thermometer encoding to increase accuracy and reduce inference cost, and the third is to use auxiliary information to increase the stability of the model and to handle drift in the distribution.
Pengembangan Permainan Spider King Sebagai Media Pembelajaran Untuk Siswa SD Kelas III

Abstract: Learning at SDN Dawuhansengon IV is only driven by projectors and images in the learning process so that students feel bored in the classroom. So it is necessary to have media in the form of games to support learning. This study aims to develop and determine the feasibility, practicality and effectiveness of spider king media in grade III elementary school students. The research model used is the 4D development research model which consists of 4 stages, namely: the Definie stage, the Design stage), the Development stage, and the Disseminate stage, but this research only reaches the development stage (Developmen). The trial subjects in this study were 12 grade III students at SDN Dawuhansengon IV. The results showed that the material experts got a score of 90%, the linguists were 83.33%, the media experts were 91.66%. Questionnaire for teacher responses was 85.93%, student responses were 90.15%, and the effectiveness test was 78.33% with the effective category. Based on the explanation of the research results on the spider king media can be used as a reference in the learning process of elementary school students.
Application Of Hiding Messages With Cryptographic Algorithm Modification of Caesar Cipher and Hill Cipher

In the current of information technology, we need a way to properly secure message. Message seurity aims to avoid intruders in communication, because the messages sent are confidential. Which can only be accessed by people who have interests. One way to secure messages is by the cryptographic method. There are many cryptograpic algorithms that can be used, such as Caesar Cipher and Hill Cipher. Both of these algorithms are symetric group cryptographic algorithms, because the keys used in the encryption and decryption process use the same key. To provide a double level security, both algorithm modifications were made. Caesar Cipher carried out the conversion process into binary numbers, and carried out XOR operations by shifting keys as an encryption process. Whereas in the Hill Cipher modification is done by using some Regional Bank codes as a key for message encryption and decryption process. The final process to get the ciphertext end result is to do permutations with a modified formula, which is adjusted to needs. The result of this study are a combination of algorithmsthat can be used to secure messages sent tp recipients. The testing process is done by comparing the size of the original image file used with the size of the resulting file size and the number of characters that can be accommodated.