Reviewerly/exHarmony huggingface dataset:
ANALISIS PENGGUNAAN KONFIKS PADA KARANGAN TEKS DESKRIPSI SISWA KELAS VII SMP NEGERI 2 PEDAN

This study aims to 1) describe the use of confixes in descriptive texts for seventh grade students of SMP Negeri 2 Pedan and 2) describe the meaning of using confixes in descriptive texts for seventh grade students of SMP Negeri 2 Pedan. The type of research used is qualitative by using descriptive methods in describing the data found. The data in this study are the use of confixes in descriptive text essays, while the source of data in this study is descriptive text essays for seventh grade students of SMP Negeri 2 Pedan. The data collection technique used is listen and note. Test the validity of the data using the document triangulation technique. Data analysis carried out in this study is an interactive analysis model. The result of this research is that the use of confix found in this study has six kinds of forms of conflict, namely ke-an, pe-an, role, ber-an, se-nya, and se-an. The researcher found 48 data from 32 student essays in the form of the use of confixes. The use of confixes includes 22-word confixes, 11-word verb confixes, 5-word role-playing confixes, 5-word confixes, 4-word se-an confixes, and 1-word confixes. said. The use of confixes can be formed through four basic elements, including adjectives, verbs, nouns, and adverbs. The meanings contained in the data are 26, including 9 meanings of the confix, 7 meanings, 4 role confixes, 3 meanings, 3 meanings, 2 meanings, and confix se-an as much as 1 meaning.
La salud móvil al servicio de las comunidades indígenas durante la pandemia de COVID-19

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Development of Interactive Multimedia for Room Service Subject

In order to create optimal learning, learning media with new variations that are interesting but effective and advanced technology are needed. This study aims to develop learning media in the form of interactive multimedia based on Adobe Flash CS6 that is suitable for room service on course restaurant setting and service. This media is developed by research and development (R&amp;D) and using the APPED (Analysis, Planning, Production, Evaluation, Dissiminate) as the development model. The results which is quantitative data are then converted into desctiptive analysis. The validation results by experts such as: 1) media expert the percentage is 99.2% which means that it is excellent quality, 2) by subject expert the percentage is 95% which means that it is excellent quality, 3) by language expert the percentage is 77.5% which means that it is good quality. For student acceptance responses, the percentage is 89.83% which means it is very positive In conclusion this media is validated to be used with good quality
Preliminary exploration on the construction and application of knowledge graph for security control strategy

The security and stability control system are the guarantees the safety of the power grid, and the security and stability control strategy plays an important role in ensuring the stable operation of security and stability control equipment and system. To better management of strategy and realize the function of fast search, combing with artificial intelligence technology to model, manage, and apply security and stability control strategy is a new development direction. This paper put forward a framework of knowledge-graph-based security and stability control strategy, benefits from the regularity of the components of most security control strategies, by sorting out the relationship between the elements of security control strategy, and designing a structured knowledge network that can be presented and operated. The ontology model of the knowledge graph is divided into two parts: the strategy table and the complete strategy, the first is to analyze the strategy table the most important part of the strategy, based on the completed ontology design of the strategy table, perfect the logical relationship to realize the model of the complete strategy. Finally, on the Neo4j, finish the construction of the knowledge graph of that security and stability control strategy, and achieve the purpose of strategy management and rapid retrieval of the security control strategy.
Development of an autonomous mobile robot to transport heavy objects on narrow alleys and steep slopes

The purpose of this study is to develop a four-wheeled autonomous mobile robot for transporting heavy loads on a narrow alley of 1380mm width with a steep 20 ° slope and right-angle curves. The robot is driven by four wheels with hub motors in order to climb a steep slope with maximum load. In addition, for high-precision autonomous driving, one LiDAR is equipped on the front and rear of the vehicle respectively to acquire environmental information, and a self-positioning algorithm is developed. Further, verification experiments are conducted on two courses that simulate real conditions. As a result, we confirmed that the vehicle was able to climb steep slopes and drive autonomously with high accuracy on narrow alleys.
Scale Perception in VR for Urban Scale Environments: 360° Photos versus Full 3D Virtual Reality

The paper investigates the accuracy of scale perception in Virtual Reality (VR) for visualization of urban scale environments.Specifically, we evaluate users' scale estimation accuracy by subjecting them to an urban scale environment using two different viewing modes: 360°monoscopic panoramas viewed in a VR headset, versus a full stereoscopic 3D VR representation, also in a VR headset, allowing participants to move around.The paper explores various aspects of this, including both ego-and exo-centric distance estimation, perception of own height, and photographic realism of 360°modes.The main experimental result is that, somewhat surprisingly, user distance estimation accuracy is higher in the monoscopic 360°viewing modes than in 3D VR; in 3D VR participants on average underestimate distances by around 20%.Nevertheless, participants on average feel significantly taller than normal in the 360°modes, whereas they feel normal height in 3D VR mode.We conclude that more work is needed in order to properly understand the perceptual and cognitive mechanisms behind scale perception in VR.
A novel quantitative index for Poincaré plot: included angle cosine measure

For the limitation of existing quantitative indexes of Poincaré plot, the included angle cosine measure is proposed in this study. The novel index has the ability to assess the degree of the change of three consecutive RR intervals and remedies the deficiency of the Poincaré plot analysis partly. Finally, PhysioNet/PhysioBank is applied in this study and the experiment results demonstrate the effectiveness of the included angle cosine measure
Seamless inter cloud data transfer

Cloud Storage has become a major part of the smartphone industry. Every single smartphone user is using one cloud or the other to store their data to free up space on their smartphones that come with limited storage. Almost all the major smartphone companies are introducing their own cloud service. The users tend to store data on the cloud storage available for their device. It has become difficult for the users to migrate their data from one cloud to another when they change their phone without wasting their time and resources. Currently the users tend to download data from the first cloud to their device, transfer the data to the new device and then upload the data to the second cloud, which is tedious and time consuming. In order to solve this problem, we plan to introduce an easy and time saving method that helps in transferring the data between different cloud storages and build an authentication and session key agreements for mutual trust which is based on algorithm called elliptic curve cryptography without certification for peer-peer cloud servers. This method assists in developing trust between the 2 cloud storages and build a foundation for data migration from different cloud service providers.
Development of Blog-Based E-Learning Tools for Islamic Education Courses

A research about developing e-learning tools was considered necessary to do towards the new normal era because the fact on the ground indicated that there were many teaching sources lacked of preparation when doing online learning. The kind of research that was implied was development research with ADDIE model which is Analysis, Design, Development, Implementation, and Evaluation. The subject was students of Tadris Bahasa Inggris major in Sekolah Tinggi Agama Islam Negeri Majene. The research development phases were firstly, analysis phase where it was found that the media used in online lecture were restrictedly Zoom application and Google Classroom with all their deficiency; Secondly, design phase done to follow up the issues found in the previous phase, that is by designing Learning Management System (LMS); Thirdly, development phase where the researcher made LMS based blog that completed with menus: RPS, RTM, Teaching Material, Discussion Forum, Quiz and Learning Program Evaluation; Fourthly, implementation phase done through trials of LMS four times of meeting; Lastly, evaluation phase where the evaluation results of the developed e-learning tools were considered already valid, very practical and effective
Luminance Compensation MEMC for Video Frame Interpolation

Video frame interpolation is an important technology in digital video processing, which has great impact on users’ viewing experience. In particular, in medical or industrial application scenarios, the accuracy of the frame interpolation algorithm may also influence the diagnosis results. In addition, for videos based on ionizing radiation (e.g., X-rays), each frame exposure could cause damage to human tissues by ionizing radiation. Therefore, if a frame interpolation algorithm is introduced to display the same number of frames, it only needs to sample half of the frames and halve the exposure radiation doses, which is statistically promising to reduce human cancer rate caused by ionizing radiations (e.g., medical examinations). However, since there are errors in frame interpolation caused by luminance leap, existing works are not applicable in such scenarios. To solve this problem, this paper proposes a video interpolation algorithm based on luminance compensation MEMC (LC-MEMC). Firstly, a luminance compensation method based on the electromagnetic irradiation attenuation in human tissue is introduced to improve the performance of motion estimation and motion compensation (MEMC) and reduce matching errors caused by luminance leap. Secondly, LC-MEMC proposes an improved block matching approach, including i) a new search method from basic points to local points and ii) a block matching criterion that simplifies the calculation process. LC-MEMC improves the accuracy and processing speed of video interpolation from three perspectives: adding luminance compensation, improving the search strategy and optimizing the matching degree calculation method for each search position. We evaluated LC-MEMC on collected medical videos and achieved higher accuracy, faster processing speed, and significantly better viewing experience comparing with existing methods.
RANCANG BANGUN SISTEM INFORMASI MANAJEMEN ASET TETAP BERWUJUD (STUDI KASUS PT BRI DANAREKSA SEKURITAS)

PT BRI Danareksa Sekuritas is a state-owned company engaged in investment that is trusted because this company is supervised by the Financial Services Authority (OJK) and also cooperates with the Indonesia Stock Exchange (IDX). The number of branches spread across various regions causes several problems in several branches related to the problem of integrating inventory data and the inventory process. The problem that arises is the inventory data that does not match the actual number of goods. In fact, often the data in excel does not or escapes to be updated. The difficulty that occurs is because PT BRI Danareksa Sekuritas has many branches, which still carry out data collection using excel manually. The development of a system carried out by the Three Major Phase method has three stages, namely analysis, design, and implementation. Based on these problems, this system was created to make it easier for companies to manage assets starting from making procurement, maintenance, borrowing, asset deletion and to making inventory reports in real time. The results of the research in the form of the implementation of a web-based Asset Management Information System Design at PT BRI Danareksa Sekuritas are expected to meet the company's needs in managing assets to be more effective and efficient.
Deep Learning Techniques Applied To The Pre-Salt Facies Classification Using High Definition Well Core Images

Summary The geological reservoir characterization is an essential task for planning exploratory targets and production strategies. In this context, to know the rock textures and structures is the link to understand pore network properties in the geological formations. Therefore, the reservoir facies analysis is fundamental to define the better permo-porous reservoir intervals. Thus, this work presents the main results obtained from the use of Deep Learning models in the automatic facies classification applied into the pre-salt well cores of Santos Basin. The development of this innovative methodology was based on training of neural network algorithms with high definition well core image to predict facies automatically in untrained analogue well cores. The results achieved a satisfactory overall accuracy around 60%; hit values higher than 70% were found mainly in the most representative carbonate reservoir facies as coquinas, reworked limestones represented by rudstones and grainstones, and in situ facies such spherulitites and shrub limestones. This new methodology, based on the artificial intelligence, has potential to become a powerful tool to be used in the large scale for the Brazilian pre-salt carbonate reservoir characterization.
TO THE ISSUE OF INCLUSIVE HIGHER EDUCATION

The article is devoted to the problem of inclusive education in Ukraine.Changing the status of our country as a European Union member-state means a new vision of inclusive education and a change of the scientific community's attitude to the students with special needs.The inclusion process involves development and execution of such specific solutions that will allow everyone to equally participate in the academic and social life.The authors consider two approaches to "special" students teaching, which are acceptable in the inclusive education implementation as a universal effective process; the inclusion ideology, where the professor has to be impartial, generally benevolent and friendly to all; give assessment and guidance to the educators who work with such higher education applicants, characterize their preparation, primarily psychological, to work in inclusive groups or courses as in addition to the professional one, as they experience deep psychological difficulties.The academic staff who work with "special" young students in inclusive groups are responsible for the physical, intellectual, emotional and spiritual condition of those who study, so they must create all the possible means for the unimpeded knowledge skills and abilities acquisition by the students for their future vocational activity.The issues of the inclusive education basis are raised in the work, as well as overall provisions of inclusive education as a modern socio-pedagogical phenomenon and the background for integration into the society, feedback technology, methodological and pedagogical support of "different" students, access to education for young people with disabilities; the inclusive education principles developed by the Ministry of Education and Science of Ukraine and the experience of their implementation are studied too.The benefits of inclusive education for students with disabilities; social competence and communication skills of such people are discussed.The main directions of thought and pedagogical actions in the inclusive education situation are focused on current personality issues.According to the authors, the main task of an educator who works with young people with impaired needs is to deliver the information to the "special" listener, check their understanding the material building a compromise behavioural model convenient and acceptable for everyone.
Student’s Ability of Identifying Elements of Poetry Through Group Discussion

This research was on the study of English literature. The objectives were firstly to investigate students’ ability of English Department, Teaching Training and Education at Prima Indonesia University, then to find out elements of poetry. This research applied descriptive qualitative approach with group discussion method and a case study design where one class at fourth semester was taken as the subjects. The instrument used in this research was an essay test taken from one of Robert Frost’s poems. Through group discussion, the students worked cooperatively to analyze the poems by sharing their arguments and ideas as the requirements to accomplish the study of poetry. The data source was the scores that led to find the criteria of the students’ ability. Based on the findings, the elements of poetry identified were stanza, lines, rhyme, rhyme scheme, rhythm, syllables, meter, foot, mood, tone, imagery, and figure of speech. Then, there were 80% students able to identify the elements of poetry. While 20% remaining were the unable students. In conclusion, there were three of four groups assigned, classified able to identify the elements of poetry. It is suggested that group discussion is one of significant cooperative learning strategy in any instructional process.
Implementation of the Simple Multi Attribute Rating Technique (SMART) Method on the Decision Support System for Determining Revolving Fund Capital Loan Receipt at the Cooperative Service

The purpose of writing this final project is to find or recommend recipients of revolving fund borrowings at the cooperative office, therefore a Decision Support System is needed for the recommendation for acceptance of revolving capital loans at the cooperative office using the smart method. The research method applied in this research is the development of the waterfall method. The waterfall method is a systematic and sequential information system development model Implementation of the Smar Method in a Decision Support System for determining the acceptance of a revolving fund capital loan at the cooperative service is an algorithm for processing data based on the weight of the criteria. The Samrt method is a method used to determine the acceptance of a revolving fund capital loan based on the weight of the criteria, at the Cooperative Service there are six criteria, namely, capital range, rate, number of members, cooperative status, legal entity, length of establishment, each decision is calculated based on the six criteria above. Decision Support System Recommendation Revolving fund loan acceptance is built using Visual Basic programming language and Microsoft Access database. The Decision Support System produced in this study can display cooperative data and the ranking of the results of receiving revolving fund loans based on existing data so that it can be used as a solution or consideration in the process of receiving revolving fund loans.
Sosialisasi Pembuatan Laporan Keuangan Klub pada Klub Bulutangkis di PB Tanjung Mas

Abstract: Purpose: To provide knowledge about the importance of financial bookkeeping for the PB Tanjung Mas organization that they run, their financial records are more structured. The second goal is to increase their understanding of the process of making simple financial bookkeeping by providing some examples of economic transactions and how to solve it and the distribution of debit/credit cash books. Research methodology: The method used in carrying out the service is socialization and mentoring. before doing service, is to meet face-to-face during the championship and do a little question and answer about inflating training operational costs unexpectedly because no reports have been made. The approach that has been taken, the idea arises to overcome these problems, by organizing training and mentoring. Results: The result of this service is to provide a new experience for badminton clubs, especially PB Tanjung Mas about the importance of having simple financial reports, in order to be able to manage their respective operational costs so that there is no minus at the end of the month Limitations: This service limit is for recording daily transactions at PB Tanjung Mas and recording supply of chokechocks. Contribution: The contribution of this program is to provide knowledge about the meaning of accounting, the benefits of accounting and financial bookkeeping for traders, the accounts contained in the books, debit-credit positions, examples of transactions that often occur, to the process of journalizing and distributing debit cash books/credit to PB Tanjung Mas Tampan. The hope from the implementation of this community service program is that the club's finances become sustainable by implementing simple financial bookkeeping every period. So that the club management has a good financial record. Keywords: 1. daily cash book 2. shuttlecock supplies
Perancangan Sistem Pembelajaran Daring Menggunakan Model ADDIE

ABSTRACT&#x0D; The design of the online learning system is not only focused on the software aspect alone but also must pay attention to the teaching materials that will be managed to suit the characteristics and needs of students. This study designed an online learning system using the ADDIE model (Analysis, Design, Develop, Implement, and Evaluate). ADDIE is a model commonly used to design learning. The stages in this model are very similar to the Waterfall model in the field of software engineering. By using the ADDIE model, it is hoped that it will produce an online learning system that is in accordance with the pedagogical aspects of students and technologically in accordance with the concept of software development. The results of the system design are implemented using Moodle for database practicum lectures. Based on the learning outcomes, 100% of students passed the database practicum with an average level of understanding of 94.86%. In conclusion, the ADDIE model can be applied to design an online learning system according to the characteristics of students.&#x0D; &#x0D; Keywords: online learning system, ADDIE, waterfall, Moodle, database
Creativity Evaluation Method for Procedural Content Generated Game Items via Machine Learning

Procedural Content Generation via Machine Learning (PCGML) refers to methods that apply machine learning algorithms to generate game content. In particular, the generation of game item descriptions requires techniques to evaluate the similarity between items, and consequently their creativity. This paper improves the BLEU2vec text similarity evaluation technique by integrating it with Byte Pair Encoding (BPE) to capture the relevance of compound words in generated game item descriptions. This novel technique, called Split BLEU2vec, splits compound words into sub-words enabling their similarity evaluation. Our results show that when compared to BLEU2vec baseline, Split BLEu2vec is able to account for semantic embedding of compound words in item descriptions of the game Legend of Zelda.