Reviewerly/exHarmony huggingface dataset:
Model Pembelajaran Kooperatif Tipe TGT (Team Game Tournament) dalam Pembelajaran Menulis dan Mengetik Aksara Bali pada Siswa Sekolah Menengah Atas/Kejuruan

&lt;em&gt;&lt;span lang="EN-US"&gt;Writing and typing Balinese script is one of the materials in Balinese language which is considered difficult by most students, including high school/vocational high school students who logically repeat only the material they have obtained while sitting in elementary and junior high school. This paper seeks to explore the concept, application, and role of the TGT (Team Game Tournament) type of cooperative learning model in learning to write and type Balinese script in high school / vocational high school students with structural and behaviorism theory supported by content analysis and descriptive analysis methods. The results of the analysis show that the TGT type of cooperative learning model emphasizes on three main points, namely academic tournaments, quiz systems, and individual contributions in groups. In its application, the TGT type of cooperative learning model in learning to write and type Balinese script is able to bring the elements of solid teamwork, exciting games, and competitive academic tournaments into a single unit by using script cards and the application of Bali Simbar Dwijendra. This makes students able to learn while playing, so learning becomes very fun and meaningful for students. Through this learning model, students are trained to build mutual cooperation, sportsmanship, speed, and understand the material well through five main components, namely class presentations, teams, games, tournaments, and team recognition. In line with this, the TGT type of cooperative learning model in learning to type and write Balinese script also has a very important role, namely: creating an atmosphere of Balinese language learning to be fun, fostering a spirit of sporting competition, and strengthening cooperation and a sense of kinship between students.&lt;/span&gt;&lt;/em&gt;
Developing Hybrid-Based Recommender System with Naïve Bayes Optimization to Increase Prediction Efficiency

Commerce and entertainment world today have shifted to the digital platforms where customer preferences are suggested by recommender systems. Recommendations have been made using a variety of methods such as content-based, collaborative filtering-based or their hybrids. Collaborative systems are common recommenders, which use similar users’ preferences. They however have issues such as data sparsity, cold start problem and lack of scalability. When a small percentage of users express their preferences, data becomes highly sparse, thus affecting quality of recommendations. New users or items with no preferences, forms cold start issues affecting recommendations. High amount of sparse data affects how the user-item matrices are formed thus affecting the overall recommendation results. How to handle data input in the recommender engine while reducing data sparsity and increase its potential to scale up is proposed. This paper proposed development of hybrid model with data optimization using a Naïve Bayes classifier, with an aim of reducing data sparsity problem and a blend of collaborative filtering model and association rule mining-based ensembles, for recommending items with an aim of improving their predictions. Machine learning using python on Jupyter notebook was used to develop the hybrid. The models were tested using MovieLens 100k and 1M datasets. We demonstrate the final recommendations of the hybrid having new top ten highly rated movies with 68% approved recommendations. We confirm new items suggested to the active user(s) while less sparse data was input and an improved scaling up of collaborative filtering model, thus improving model efficacy and better predictions.
ORGANIZATIONAL CULTURE OF THE TEACHER AS A GUARANTEE OF SUCCESS OF PROFESSIONAL ACTIVITY IN THE CONDITIONS OF INTRODUCTION OF INCLUSIVE EDUCATION

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Pengembangan Aplikasi Regresi Parameter Cuaca Berbasis Visual Basic For Application

Abstract —&#x0D; This research is the development of the Microsoft Excel VBA application to perform regression analysis between weather parameters in terms of data centering measures (PAMER11). The combination of parameters and data centering measures obtained 55 parameters that can be combined into 1,677,255,139,725 annual regression analysis outputs. The case study used in this study only calculates air humidity with temperature and air pressure observation variables, then the analysis results are compared with the results of the Excel Toolpak analysis data with the Anova. The development of this application method is carried out in 4 stages, namely: define, design, develop, adn dissemination. The defined stage includes analysis of the needs of researchers in the BMKG field, analysis coverage of the needs of BMKG in the form of regression analysis. The design stage includes format selection, application program selection, and initial design (prototype 1). The development stage includes validation (prototype 2) obtained a programming aspect value of 4.1325 valid criteria, comparison of Anova results from the output of the PAMER11 application and analysis of the Excel toolpak, the f-value is with a p-value of 99% which results in the two calculations are significantly equal, for the display aspect get a value of 4,8175 valid criteria, limited and field product trials (prototype 3), where a limited trial was carried out on all faculty lecturers getting a score of 4.2440 very good criteria. Field trials conducted on the BMKG Cilacap got a score of 4.8333 very good criteria and data analysis at each stage of development has been improved towards the application program.&#x0D; Keywords — Development; Microsoft Excel; Visual Basic for Application (VBA); Regression Analysis; Weather Parameters
Aplikasi Pengenalan Produk Menggunakan Augmented Reality dengan Metode Marker

Product introduction is an effort made by a company to introduce new products to the public. However, sometimes there are several obstacles that cause sellers to be unable to show their products to potential buyers, such as during this pandemic. There are many ways to introduce a product, namely through photos or videos. At this stage, a marketing strategy is needed so that the target market is more familiar with the products being sold and can be used as business advantages. Marketing strategies can be done by utilizing technology, one of which is by using Augmented Reality. In augmented reality, there are three characteristics that form the basis of the system, including a combination of the real and virtual worlds, real-time interactions, and the last characteristic is the shape of an object in the form of a three-dimensional or 3D model. The Augmented Reality model used in this study uses the marker method and the application can be applied to an Android smartphone. By using augmented reality technology, the introduction of a product will feel more interactive and effective. In addition, it can increase the product's marketing appeal.
An Ambigramic Image File Format

We propose an image file format that can be read in two ways, where two images are recorded in a single file as a bit sequence, and the forward reading the bit sequence makes one of the two images visible, or the backward reading makes another image visible. Such a way of looking at a binary data in two ways resembles that of an ambigram, which is a piece of calligraphy that can be read in two ways by rotating it or introducing other perspectives. The proposed ambigramic image file format is compared with the graphics interchange format (GIF) experimentally, and the results show the better quality of the ambigramic images than that of GIF images.
Assessment of the feasibility of hybrid renewable power for supply pumping system for irrigation

Crop identification is vital to make an inventory of the crops grown in a given area and their cultivation period. The Remote sensing (RS) techniques can provide information on the distribution of cultivated land, crop types, and areas for the agricultural sector's effective management.&#x0D; In remote sensing, various vegetation indices (VI) can analyze and evaluate multiple phenomena and themes. The Normalized Difference Vegetation Index (NDVI) is an essential and highly significant remote measurement widely used in agriculture for phenological monitoring and crop health (Ray and Dadhwal, 2001).&#x0D; In this work, we present a methodology for the contribution of NDVI from Landsat 7 (TM) and (ETM+) images to crop mapping in the Gharb region using a classification based on the pixel approach and estimating rice crop coefficient from NDVI.&#x0D; The classification results concern six main types of crops planted in this region (beet, maize, sugar cane, market gardening, cereals, and rice). The classification map showed differences in agricultural practices adopted by farmers in crop spatial distribution. The classification results showed the ability of this methodology to discriminate between crops.&#x0D; Crop coefficients were deduced from the NDVI extracted from the images. Due to meteorological data collected from the meteorological station TCSC of SK Tlet, the estimation of the reference evapotranspiration was made and subsequently the potential evapotranspiration of each crop during the agricultural season 2019-2020.&#x0D; The highest values for ETC were obtained when the crop was in its full development when water was mainly lost through transpiration after a slight decrease in the ratio values observed during the phase of the vegetative cycle (maturity).&#x0D; The water requirements (daily, monthly and annual) for the crops were determined and their electrical energy consumption.&#x0D; Renewable energy can be an effective solution to meet the energy needs of plots , greenhouses and large farms.&#x0D; A technical-economic study of different combinations of autonomous hybrid renewable energy systems (HRES) in order to meet the power supply needs of the above mentioned crops in the Gharb region. The renewable energy sources considered are solar, wind and biomass. The results show that for an average energy requirement of 92 kWh/day and a peak load of 6.5 kW, the unit energy cost of the optimal configuration scenario A (PV-wind-biomass-battery) is 0.19 $/kWh. Therefore, the design, development and implementation of the proposed system is a promising solution for the security of energy supply. For a 100% integration of renewable energy, the HRES produces electricity according to the following distribution: 11% from wind, 41% from solar and 48% from biomass.
POLA KONSUMSI NON MAKANAN MAHASISWA STARA SATU (S1) REGULER FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS LAMBUNG MANGKURAT

In this journal it aims to explain and illustrate how Faculty of Economics and Business students allocate their allowances for non-food consumption expenses, based on gender and major / study programs. This research is quantitative descriptive. A sample of 93 students respondents from majors / study programs namely Management, Accounting and Economics and Development Studies (IESP) for the 2015-2017 class. The analysis technique used is descriptive statistics in averages an percentages and cross tabulation analysis. The results showed that: non-food consumption expenditure of students based on sex and department/study program had the same pattern, namely the largest expenditure for fashion spending and the smallest for tuition supports costs. Female students have the highest expenditure. on average students do expenditure in the medium category. Management students have the largest expenditure for non-food consumption followed by accounting and IESP students.Keywords: Consumption Patterns, Students, Non-Food Consumption
Performance Management and Student Mathematic Disposition through a Posing Problem Approach

This study aims to determine the performance management and mathematical disposition of students through the problem posing approach. This research uses quasi experimental research. The population in this study were 149 students of SMK Sumber Mulyo. The research sample was the cluster random sampling technique (random group sample), that is, one class was selected as a sample subject to treatment through random selection, namely students of class XI SMK TSM totaling 30 students. The results showed that the level of influence between the problem posing approach variable on performance management and students' mathematical dispositions had a high effect. The results of testing the research hypothesis testing problem posing approach to performance management can be seen that the tcount value is 7.560 and ttabet is 1, 781 so that tcount ≥ ttable then Ha1 is accepted, that is, there is a positive and significant influence between the problem posing approach to performance management. Furthermore, the results of the research hypothesis test of the problem posing approach to mathematical disposition, it is known that the tcount value is 6.630 and the t table is 1.981 so that tcount ≥ ttable then Ha2 is accepted, namely that there is a positive and significant influence between the problem posing approach to mathematical disposition.
ON MOTIVATION OF STUDENTS TO STUDY AT AN AGRICULTURAL UNIVERSITY: FACTORS THAT INFLUENCE THE MOTIVATION OF EDUCATIONAL ACTIVITIES

Students' motivation is studied quite regularly, but most often it occurs from psychological and pedagogical positions [1; 6; 7; 9]. However, students do not just go to university, they work to acquire the knowledge, skills, and competencies necessary for the development of their future profession, so the learning process must be viewed through the prism of work motivation. The peculiarity of this research is the reliance on research methods that allow us to study this aspect of students’ activity, in particular, the V.I. Gerchikov’s method with some changes that are inevitable due to the specifics of an educational process. The purpose of the study is to determine the factors that affect the motivation of educational activities. The theoretical part of the study describes the main approaches to motivating students' learning activities, as well as the specifics of relationships in the process of studying at the university, which does not allow direct use of methods and practices that have appeared in the framework of theories of labor motivation. As a result of the research conducted in 2019 on the main massif of the 1st and 4th years of full-time education in the Izhevsk State Agricultural Academy by questionnaire (n=781), significant differences in the motivation of students of different groups and faculties were revealed, which allowed us to assume that there are problems in the educational process, which we have not previously recorded. To determine the causes of significant differences in the motivation of individual groups, focus group studies were conducted (n=92) in 6 study groups, where 2 with low average motivation, 2 with middle average motivation, 2 with high average motivation. The authors analyzed the reasons for failure and non-attendance of classes, the organization of the educational process, the specifics of relationships in groups, the impact of the division into subcultures on the learning process and relationships in a group, leisure-time of students, their ideas about the desired changes in the educational process.
Technology-Enhanced Learning (TEL) Platforms Among Undergraduates in Private Universities in Nigeria During Covid-19 Era

The current pandemic of COVID-19 has affected every activities of the world with educational institutions not exempted. The lockdown has also halted instructional activities in the four walls of classroom around the world. Hence, many educational institutions have resulted to embracing technology-enhanced learning (TEL) platform to sustain academic session and continue to engage in teaching-learning activities through WhatsApp, Google Classroom, Schoology and Zoom Video Conferencing tool. This study examined the awareness, access and reaction toward TEL. It is descriptive research of the survey methods and the instrument is a researcher-designed questionnaire validated by four lecturers in Al-Hikmah University, Ilorin. The questionnaire was pilot tested and the data collected was subjected to a reliability test of Cronbach Alpha which yielded 0.89. Five research questions and two hypotheses guided the conduct of this study. All research questions were answered through frequency, percentage, mean and standard deviation while hypotheses raised were test using chi-square. The findings revealed that the undergraduate student of private universities possess a high rate of awareness and can access leaning content in TEL platforms which justify the positive reaction. Hence, it is recommended that TEL should be embraced to bridge the gap created by the COVID-19 pandemic lockdown across the world.
Kennings and variability

Abstract A casual examination of the skaldic corpus suggests that a very large proportion of kennings are unique, that is, the nouns that form a kenning are very unlikely to appear elsewhere as a kenning, even when grammatical variation is taken into account. This enormous productivity is due to the principle of variability and substitution in kennings. The phenomenon is discussed in Fidjestøl’s 1974 structural analysis of the kenning system and presented there as a reversal of the principle of linguistic economy. This paper investigates this phenomenon by quantitatively analysing the kenning corpus as recorded in the skaldic database, in order to identify matching kennings within the corpus. The results are broken down according to the complexity of the kennings in question and are then examined in relation to the structural framework of the kenning system. It is shown, firstly, that a relatively small number of kennings are repeated (10–12 % of kennings are repeated), but that there is a fairly high amount of repetition among simple kennings (at least 25 % of simple kennings are found elsewhere in the corpus), suggesting that the kenning system has quantitative similarities with other linguistic systems, albeit with a much higher level of variability.
IMAGE QUALITY IMPROVEMENT USING IMAGE PROCESSING METHOD IMAGE BRIGHTNESS CONTRAST AND IMAGE SHARPENING

The ability of computers that are increasingly reliable in various fields, especially in helping the image processing sector through improving image quality, is very much felt so that the empowerment of computers at any time needs to be improved. Image quality improvement can be made with various techniques, including Image Quality Improvement with Image Brightness and Image Sharpening methods. The process begins with capturing the image and then continues with increasing the intensity of brightness, image contrast and sharpening. Image processing results are indicated by changes in the resulting image and changes in the image histogram
Intelligence Challenges of the Data Rich World

On November 24, 2020, Phil Gratton presented Intelligence Challenges of the Data Rich World at the 2020 CASIS West Coast Security Conference. The presentation was followed by a group panel for questions and answers. Main discussion topics included the abundance of data; non-threat related data-sets; and legislative and operational advancements towards contributing to cutting-edge intelligence processes.
FRAMEMIZATION OF LEARNING: OPPORTUNITIES FOR FORMATION OF STUDENTS CREATIVE ACTIVITY

The article reveals the topical issue of forming creative activity of students. The aim of the work is to draw the attention of the pedagogical community to such an issue as the framing of learning, which involves a variety of forms and methods of organizing the educational process by means of updating the self-correction of students' knowledge. It is established that the formation of creative activity of high school students by means of framing should be carried out on the basis of personal orientation, competence approach. In addition to the general characteristics, the specifics of creating frames with slots are revealed. The research is based on scientific works, which reveals the formation of creative activity of the younger generation in the process of learning and education, didactic foundations of these processes. The main results of the work determine the modern conditions in which the theoretically substantiated process of framing learning works in order to form the creative activity of students. We pay attention to the fact that the creative activity of high school students is most successfully manifested during their homework, self-correction of knowledge in the classroom, during extracurricular activities. Thus, the foundation for the formation of creative activity of high school students is, first of all, the level of formation of elementary cognitive processes and creativity of thinking received by them. Having these prerequisites, the teacher directs the student to cognition, perception, assimilation of information; forms the ability to cooperate and the ability to orient and self-regulate, independence, freedom of thought.&#x0D; Keywords: learning framing, slots, creative activity of the student, self-correction, creativity, self-assessment, tasks, actualization of knowledge.
An Assessment on the Test Anxiety and Academic Performance of Information Technology Students

In humans' daily life, people experience different levels of anxiety.Some experiences a low level of anxiety, others experience incredibly high.Anxiety significantly affects people in different forms.Higher education students experience anxiety attributed to different factors and one of which includes test anxiety.This study sought to describe the test anxiety among the Information Technology (IT) students and assess if test anxiety has a significant relationship to students' academic performance.The researchers applied a descriptive-correlational design to describe the IT students' test anxiety and test the relationship of the variables under investigation.The researchers adopted an instrument for this study.This study was conducted in a State University in Nueva Ecija, Philippines.A total of 394 students enrolled in an IT Major Course during the second semester of the academic year 2019-2020 voluntarily participated as respondents for this study.Results revealed that IT students have "somewhat typically" experienced test anxiety (WM = 2.734).Moreover, results showed that test anxiety among IT students has a significant positive relationship to their academic performance (p-value = 0.000, r = 0.347).Researchers suggest utilizing the positive effect of test anxiety in learning IT courses in order for students to improve their academic performance continuously. I.
PxEBCA: Proximity Expansion Based Clustering Algorithm

Cluster analysis is one of the main techniques for analysing data. It is a technique for detecting groups of objects which are similar without specifying any criteria for the grouping. The matter of detecting clusters is challenging when the clusters are of varied size, density and shape. DBSCAN can find arbitrary shaped clusters along with outliers but it cannot handle different density. This paper presents a new method for detecting density based clusters which works on datasets having varied density. In this paper we propose PxEBCA that discovers clusters with arbitrary shape and also with varying density.Experimental evaluation of the effectiveness and efficiency of PEBCA was done using synthetic data. The results of experiments demonstrated that PxEBCA is significantly more effective in discovering clusters of arbitrary shapes with varying densities.
Training von neuronalen Netzen

No AccessNeuronale Netze mit C# programmierenApr 2021Training von neuronalen NetzenDaniel BaslerDaniel BaslerSearch for more papers by this authorhttps://doi.org/10.3139/9783446464261.004SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 111-140Print ISBN: 978-3-446-46229-8eISBN: 978-3-446-46426-1 Copyright & Permissions© 2021 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...