Reviewerly/exHarmony huggingface dataset:
Analisis Metode K-Medoids Pada Penjualan Produk Smartphone Vivo Di Kota Pematangsiantar

Globalization is a very promising era of openness and freedom, where a communication which is a means to obtain information is expected to be carried out easily and effectively. One of the communication media in question is a cellphone. The users of cellphones or cellphones used to be limited to the elite, but for now it has begun to penetrate various circles of society ranging from students, university students, civil servants and even ordinary people who have used it... K-Medoids Clustering is one of the one technique of one of the data mining functionality, the clustering algorithm is an algorithm for grouping a number of data into certain data groups (clusters). While data mining, often referred to as Knowledge Discovery In Database (KDD) is an activity that includes the collection, use of historical data to find regularities, patterns or relationships in large data sets aimed at finding out the Vivo Smartphone brand that is selling well in the market so that it can be done. early procurement. From this study, it was found that Vivo smartphones with the brand S1 Pro 8+128, V17 Pro, V19 8+128GB, V19 8+256GB, Y11 2+32GB, Y12 3+64GB, Y17 4+128GB, Y19 6+128GB are brands which sold a lot. With the results obtained can provide information to PT. Vivo is improving its service even better by increasing the stock of Vivo smartphones which are in great demand, especially in the city of Pematangsiantar
DEVELOPING READING WORKSHEET BASED ON TASKBASED LANGUAGE TEACHING TO TEACH STUDENTS’ READING COMPREHENSION FOR THE TENTH GRADE STUDENTS AT SMA NEGERI 3 MEDAN

The objective of this study was to develop reading worksheet based on taskbased language teaching to teach students’ reading comprehension for tenth grade students at sma negeri 3 medan. This study was conducted by using Research and Development design through six stages; gathering data and information, need analysis, materials development, validating by experts, revising, and final product. The subject of the study was the tenth-grade students in SMA Negeri 3 Medan. The data were gathered by reviewing documents, conducting an interview with the English teacher, and distributing the students' needs analysis questionnaires to X MIA 2 consists of 35 students to get the students’ needs. The interview and questionnaire results proved that the students needed reading worksheet based on task-based language teaching. The developed reading worksheets were validated by two experts which scored 3.77 and 3.87 on average. The scores approved that the reading worksheet based on task-based language teaching were very valid and suitable to use for the tenth-grade students in SMA Negeri 3 Medan. The result of the product was distributed to the students through bit.ly/TBLTworksheetKey words: Development, Reading, Worksheet, Task-Based Language Teaching.
Public Key Compression and Fast Polynomial Multiplication for NTRU using the Corrected Hybridized NTT-Karatsuba Method

NTRU is a lattice-based public-key cryptosystem that has been selected as one of the Round III finalists at the NIST Post-Quantum Cryptography Standardization.Compressing the key sizes to increase efficiency has been a long-standing open question for lattice-based cryptosystems.In this paper we provide a solution to three seemingly opposite demands for NTRU cryptosystem: compress the key size, increase the security level, optimize performance by implementing fast polynomial multiplications.We consider a specific variant of NTRU known as NTRU-NTT.To perform polynomial optimization, we make use of the Number-Theoretic Transformation (NTT) and hybridize it with the Karatsuba Algorithm.Previous work done in providing 2-part Hybridized NTT-Karatsuba Algorithm contained some operational errors in the product expression, which have been detected in this paper.Further, we conjectured the corrected expression and gave a detailed mathematical proof of correctness.In this paper, for the first time, we optimize NTRU-NTT using the corrected Hybridized NTT-Karatsuba Algorithm.The significance of compressing the value of the prime modulus q lies with decreasing the key sizes.We achieve a 128-bit post-quantum security level for a modulus value of 83, 969 which is smaller than the previously known modulus value of 1, 061, 093, 377, while keeping n constant at 2048. INTRODUCTIONThe abstract algebraic structure of a lattice plays a vital role in developing post-quantum cryptographic schemes.Lattice-based protocols are considered to be one of the most suitable candidates against quantum threats.In December 2016, the US National Institute of Standards and Technology (NIST) initiated the PQC project intending to develop, evaluate and standardize public-key encryption schemes for the quantum age.Among the NIST Round II candidates (Alagic et al., 2019), five submissions are based on lattice-based cryptography.Among the Round III finalist announced on July 22,
Fast and Reliable Vision-Based Navigation for Real Time Kinematic Applications

Abstract: Automatic Image Matching (AIM) is the term used to identify the automatic detection of corresponding points located on the overlapping areas of multiple images. AIM is extensively used with Mobile Mapping System (MMS) for different engineering applications, such as highway infrastructure mapping, monitoring of road surface quality and markings, telecommunication, emergency response, and collecting data for Geographical Information Systems (GIS). Robotics community and Simultaneous Localization And Mapping (SLAM) based applications are other important areas that require fact and welldistributed AIM for robust vision navigation solutions. Different robust feature detection methods are commonly used for AIM, such as Scale Invariant Feature Transform (SIFT), Principal Component Analysis (PCA)–SIFT and Speeded Up Robust Features (SURF). The performance of such techniques have been widely investigated and compared, showing high capability to provide reliable and precise results. However, these techniques are still limited to be used for real and nearly real time SLAM based applications, such as intelligent Robots and low-cost Unmanned Aircraft Vehicles (UAV) based on vision navigation. The main limitations of these AIM techniques are represented in the relatively long processing time and the random distribution of matched points over the common area between images. This paper works on overcoming these two limitations, providing extremely fast AIM with well- distributed common points for robust real time vision navigation. Digital image pyramid, Epipolar line and 2D transformation have been utilized for limiting the size of search windows significantly and determining the rotating angle and scale level of features, reducing the overall processing time considerably. Using limited number of well-distributed common points has also helped to speed up the automatic matching besides providing robust vision navigation solution. The idea has been tested with terrestrial MMS images, and surveying UAV aerial images. The results reflect the high capability of the followed technique in providing fast and robust AIM for real-time SLAM based applications. Keywords: Automatic Image Matching, Epipolar Line, Image Pyramid, SLAM, Vision Navigation, Real Time, Vision Navigation.
Augmented Reality-Based Media to Improve Disaster Preparedness for Junior High School Students

Kebumen is one of the districts located on the southern coast of Indonesia.The area has the potential for natural disasters, including earthquakes and tsunamis.Students are one of the elements vulnerable to disaster risk, so student preparedness needs improvement.This study aims to determine the effectiveness of augmented reality-based earthquake and tsunami disaster media in enhancing disaster preparedness for junior high school students.This research was conducted in Ambal District, Kebumen Regency.This research is quasi-experimental.The sampling technique was purposive sampling.The research subjects consisted of 32 control class students and 32 experimental students from grade VII 2021/2022.This study indicates that the augmented reality-based earthquake and tsunami disaster media can improve the disaster preparedness ability of moderate students with a score of 0.59 in the category.This is a good category with the observation of students' disaster preparedness abilities at meeting one and meeting two, which has increased by 0.17% from a good increase.
Reliability study of radiology interpretation in osteosarcoma

Introduction: Radiography interpretation of osteosarcoma is almost similar with the benign and other malignant bone tumors. The radiologists’ ability to accurately diagnose osteosarcoma will determine the therapy and diagnostic consistency. Currently, there is lack of evidence on radiography interpretation reliability of osteosarcoma performed by radiologists. This study aimed to evaluate the interobserver and intraobserver radiologists’ compatibility to confirm the diagnosis of osteosarcoma and explore the interpretation variability of radiological description.Methods: This was an interobserver and intraobserver reliability study for osteosarcoma radiograph interpretation. The osteosarcoma radiographs, which have been histopathologically diagnosed, were evaluated retrospectively by two observers and twice by one observer in a different timeline. The components of osteosarcoma identified through the radiographs are bone destruction and its pattern, zone of transition, type of periosteal reaction, type of matrix calcification, skip metastasis, and soft tissue mass. The data analyzed with reliability testing through agreement analysis and Kappa value.Results: After evaluation of 30 radiographs of osteosarcoma, substantial reliability score for periosteal reaction (Kappa 0.79) to almost perfect for bone destruction, types of bone destruction, transitional zone, types of periosteal reaction, calcification matrix, and presence of soft tissue mass (Kappa 0.84-1) were found. There is a strong level of agreement (96.7%) found for skip metastasis. Intraobserver reliability also showed substantial value for the presence of soft tissue mass (Kappa 0.78) and almost perfect for other characteristics of osteosarcoma (0.84-0.93).Conclusion: Intraobserver and interobserver reliability of osteosarcoma radiograph interpretation was substantial and almost perfect.
The Effect of Compare-Diagnose-Operate (CDO) Strategy to Improve Students’ Writing Ability In Descriptive Text

This study aims to determine the differences in cognitive learning outcomes (in the form of pre-test and post-test scores) of students in class X IPS 1 as a control class and class XI MIPA 3 as experimental class at SMA N 5 Bengkulu Tengah, by providing treatment using the Compare -Diagnose-Operate (CDO) strategy. This type of research is Quasi Experiment. The population is tenth grade students of SMA N 5 Bengkulu Tengah with 368 students. From this population, 37 students were taken as samples. Each class is 17 students XI IPS 1 and 20 students XI MIPA 3. Research data were collected through writing tests and documentation. The results showed a significant change in the experimental class with an average value of 71.85 while in the control class an average value of 52.06. The post-test results show that the Compare-Diagnose- Operate (CDO) strategy can improve students' writing skills. Thus, the Compare- Diagnose-Operate (CDO) strategy can be one of effective strategy to increase students‟ writing ability.
Students' Ability in Making Motion Graphics Learning Videos

Learning media is one of the supporting aspects in achieving learning success.Motion graphics are present as one of the Indonesian language learning media as an alternative distance learning media.This study aims to explain the ability of Indonesian Language Tadris students in the fifth semester in making motion graphics videos as a medium for learning Indonesian.The data obtained in this descriptive qualitative research are in the form of 11 Indonesian language learning motion graphics learning videos made in groups by Indonesian students in the fifth semester of the academic year 2021-2022.Data collection uses notetaking and interview techniques.The research instrument used guidelines for making motion graphics learning videos.The validity of the data using triangulation theory, data sources, and methods.The analysis obtained shows that 23% of the motion graphics made by students do not meet the standards.Aspects that are assessed are content or content, letters, color combinations or layouts, and sound effects.
Comparison Study and Integration of Soft Computing for Quality Image Processing

The relevancy of desegregation the deserves of various soft computing tools for planning economical image process and analysis systems are explained. The practicability of such systems arid alternative ways of integration, up to now created, square measure delineate. Scope for any analysis and development is printed. AN extensive listing is also provided. Soft computing may be a pool of methodologies that work synergetically and provides, in one type or another, versatile information science capabilities for handling real-world ambiguous things. Its aim is to tolerate the imprecision, uncertainty, approximate reasoning and partial truth so as to achieve tractableness, robustness, low-resolution price, and shut likeness with human-like higher cognitive process.
MULTIVARIATE DATA MODELING: METHODS AND CHALLENGES

Chaotic data patterns introduce a significant challenge during the prediction of multivariate data.In environmental studies, these types of data often arise in datasets due to unobserved locations.Notably, chaotic data patterns can be distinguished by applying surrogate modelling.This methodology allows the construction of simplified models that outputs the approximate results.One of the popular surrogate models are kriging, which depends on the assumptions such as mean and covariance.In this study, we discuss about a novel covariance function to generate a Fractional Brownian vector field (FBvf) model and examine the formal expression of the multivariate fractional kriging predictor.Subsequently, as kriging modelling consists of several parts, we investigate autocorrelation and parameter estimation.Therefore, we apply parameter estimation method -the maximum likelihood.This method evaluates the Hurst parameter, which characterizes chaotic data.The estimation results of the maximum likelihood method is shown to be a better alternative.Further, the fractional kriging model is considered in an application to the well-known Meuse dataset and is compared with Shepard's model.The results indicated that fractality allows the analysis of complex multivariate data more profoundly and predicts their anomalies. International Symposium on Applied Geoinformatics (ISAG2021)2-3 December 2021, Riga, LatviaThe fractional kriging method is shown to be a better alternative during the interpolation of an FBvf model since it gave a more accurate results.Comparison of interpolation methods allows us to conclude that the FBvf model is constructed correctly. ConclusionThis study discusses a new definition of multivariate kriging, with a new covariance function and justifies that fractional properties expend capabilities in multivariate data modeling.Further, it has been depicted that the model can be utilized to solve real world problems.These are steps that make it possible to simplify the modeling of multivariate data and, at the same time, to forecast complex data.
Facilitating Reading Javanese Letters Skill with a Multimodal Javanese Digital E-Book

The Covid-19 pandemic changed the learning system drastically from a conventional system (face to face) to online learning.This paper describes how to make a multimodal Javanese Digital e-book to improve reading Javanese letters.The Multimedia Development Life Cycle (MDLC) was used as the research and development method.The MDLC method consists of six steps: concept, design, material collecting, assembly, testing, and distribution.The source was the animal stories from Serat Campur Bawur.The data were collected by a literature study and providing a questionnaire to 32 students in the Javanese literature program of Universitas Negeri Semarang as the research participants.The data were analyzed by descriptive qualitative with exposure and making data conclusion.The result of this study was the development of a multimodal Javanese digital e-book.The materials included in this e-book were the history and the structure of Javanese letters, two animal stories completed with video animation, which were equipped by quiz and evaluation test of each chapter.Most of the students felt it easier to learn the material of reading Javanese letters with this book.The multimodal Javanese digital e-book can be the alternative solution to teach the materials in the online learning system.
Perbandingan kadar Thyroid Stimulating Hormone (TSH) dan kadar Free T4 (FT4) antara metode Fluorescence Immunoassay (FIA) dan metode Electrochemiluminescence Immunoassay (ECLIA) di RSUP Sanglah, Bali, Indonesia

Background: Diagnostic and therapeutic cases of hyperthyroidism can be identified by examining the levels of Thyroid Stimulating Hormone (TSH) and Free T4 (FT4). There are several examination methods, namely the Fluorescence Immunoassay (FIA) and the Electro-Chemiluminescence Immunoassay (ECLIA) method. This study aims to evaluate the difference in TSH and FT4 level in the FIA method and ECLIA method.Method: This study used observational analytic methods cross sectional design, with 45 samples serum patient with hyperthyroid in January-March 2019. Examine level TSH and FT4 levels with FIA methods (NANO ENTEK FRENDTM) and ECLIA method (Cobas e601 ROCHE). Data were analyzed using SPSS version 17 for Windows.Results: Most of the respondents were aged 25-34 years (28.8%) and female (86.7%). There was no significant difference in the mean TSH level on examination using the ECLIA method (0.60±0.79 mIU/L) and the FIA method (0.63±0.76 mIU/L) (p=0.639). In addition, there was no significant difference in FT4 both in the examination using the ECLIA method (1.67±1.05 ng/dl) and the FIA method (1.69±1.72 ng/dl) (p=0.745).Conclusions: There was no significant difference between TSH and FT4 in both ECLIA and FIA methods. Latar Belakang: Diagnosis maupun pemantauan terapi kasus hipertiroid dapat diketahui dengan pemeriksaan kadar hormon Thyroid Stimulating Hormone (TSH) dan Free T4 (FT4). Terdapat beberapa metode pemeriksaan yaitu metode Fluorescence Immunoassay (FIA) dan metode Electro-Chemiluminescence Immunoassay (ECLIA). Penelitian ini bertujuan untuk mengevaluasi perbedaan kadar TSH dan FT4 metode FIA dan metode ECLIA.Metode: Penelitian ini menggunakan metode observasional analitik dengan desain potong lintang pada 45 sampel serum penderita hipertiroid selama periode Januari-Maret 2019. Dilakukan pemeriksaan kadar TSH dan FT4 dengan metode FIA (NANO ENTEK FRENDTM) dan metode ECLIA (Cobas e601 Roche). Data dianalisis dengan SPSS versi 17 untuk Windows.Hasil: Sebagian besar responden berusia 25-34 tahun (28,8%) dan berjenis kelamin perempuan (86,7%). Tidak terdapat perbedaan bermakna rerata kadar TSH pada pemeriksaan menggunakan metode ECLIA (0,60±0,79 mIU/L) maupun metode FIA (0,63±0,76 mIU/L) (p=0,639). Disamping itu, tidak juga terdapat perbedaan bermakna rerata kadar FT4 baik pada pemeriksaan menggunakan metode ECLIA (1,67±1,05 ng/dl) maupun metode FIA (1,69±1,72 ng/dl) (p=0,745).Kesimpulan: Tidak ada perbedaan yang bermakna antara kadar TSH dan FT4 pada metode ECLIA dan FIA.
Spatial working memory as ancedent fluid reasoning capacity

Giving care to a dementia patient is a challenging process and associated with many physical and psychological health outcomes (e.g.Coope et al., 1995;Vitaliano et al., 2003).It is thought that one of the variables that affects the psychological health outcomes may be early maladaptive schemas (Young, Kolosko, & Weishaar, 2003).In addition, studies showed that early maladaptive schemas have a mediator role in the relationship between parenting styles and psychopathology.The aims of this study were to test this relationship in caregivers of dementia patients and to examine the moderator role of schema coping processes on the association between early maladaptive schemas and caregiver well-being. .99 caregivers of dementia patients participated in this study.Participants completed the measures of Young Schema Questionnaire, Young Parenting Inventory, Young Compensation Inventory, Young Rygh Avoidance Inventory, and Caregiver Well-Being Scale.Hayes process macros was used in the analysis (Hayes, 2013) .
The Problem of Leadership in Modern Education

The article deals with the problem of leadership as the ability to influence people and groups in the organization to achieve their goals.The best-known theories of leadership and concepts of modern leadership are considered, leadership is interpreted as helping other people in their development and self-realization.In education, there are at least three aspects of leadership.The first one is education of leaders as the purpose of the educational process in organizations; the second one is leadership as the principle of management of the leaders of these organizations; the third is the leadership of educational organizations in the market of educational services.The phenomenon of leadership today is relevant in all areas of public life; it is gaining popularity in the field of education.Leadership should be considered not only with reference to the relationship of the leader and the group, but also in relation to the person to himself (personal leadership).In education, leadership is observed in three dimensions: leadership education, leadership of management and leadership of educational organizations in the rankings.The difference between education and other sectors of the economy is its goal-the education of leaders, starting from the preschool level.
Приложение на образователни подкасти в професионалната подготовка на бъдещи учители по биология (В условията на епидемична обстановка, причинена от COVID-19)

One of the priority areas in vocational education (including the education of pre-service biology teachers) is related to providing a quality and innovative educational process based on modern information technologies and digitalization of educational content. The article presents the pedagogical effectiveness of educational podcasts in the e- learning for future biology teachers. This article presents and discusses the results of the application and design of educational podcasts in distance education of future biology teachers (in the context of an epidemic situation caused by COVID-19). Different types of podcasts and their pedagogical effectiveness are presented. The process of creating educational podcasts as a learning resource in the training of future biology teachers is described.