Reviewerly/exHarmony huggingface dataset:
Penerapan model pembelajaran make a match untuk meningkatkan hasil belajar ips siswa Kelas v sd 1 mojoluhur pati

This study aims to (1) describe improvement in teacher teaching skills. (2) describe improvement in student learning outcomes in social studies learning through the Make A Match learning model of material that respects the diversity of ethnic groups and cultures in Indonesia's fifth grade SD 1 Mojoluhur Pati.The classroom action research was conducted in the fifth grade of SD 1 Mojoluhur Pati with the subject of five grade teacher and fifth grader students, amounting to 32 students. The independent variable is the learning model of Make A Match and the dependent variable is teaching skills of teachers and social studies learning outcomes. Data collection techniques used observation techniques, interviews, tests, and documentation.The results of this study show that the learning of sosial studies through Make A Match learning model is increased in every cycle. Percentage of teacher skill of cycle I showed teacher learning management get the average percentage that is 72% with good criterion. While the second cycle increased to reach an average percentage of 87.5% with very good criteria. Percentage of learning outcomes in the cognitive domain at prasiklus 37,5%, then after doing research of cycle I become 71,87% and increase in cycle II become 84,37%. Percentage of learning outcomes in the affective domain in the first cycle classical average of 66,54% with moderate criteria, then increased in cycle II with an average percentage of 82,98% with high criteria. The percentage of learning achievement psychomotor domain in cycle I mean percentage that is 66,15% with moderate criterion. Then increase in cycle II with average percentage of 85,15% with high criterion.Based on the results of classroom action research conducted at SD Mojoluhur Pati can be concluded that the model of learning Make A Match in the subject of teaching skills of teacher skills and student learning outcomes increased. The researcher advises that teachers should innovate learning models so that students are more enthusiastic in learning, and to the school should provide support and opportunities to teachers by holding training to improve the skills of teachers in mastering methods or innovative learning models so that sosial studies subjects can be implemented With fun.
UPAYA MENINGKATKAN HASIL BELAJAR BIOLOGI DENGAN MENGGUNAKAN METODE PEMBELAJARAN (GQGA)GIVING QUESTION AND GETTING ANSWER DI SMA NEGERI 1 MUARA BATANG GADIS

The problem in this research is the low student learning outcomes. The type of study is class action research. The Learning Model used is (GQGA) Giving Question And Getting Answer. The subject of this study is a student of grade X SMA Negeri 1 Muara Batang Gadis consisting of 21 students. The technique and Data collector tools are tests and observations. The results of the study can be seen from the student study results test at Cycle I with an average value of 62%, in cycle II to 76% with an increase of 14%. Then the students ' biological learning activities increased, it obtained from a percentage of 53% cycle I, and 73% in cycle II. So the increase of 20%.  Keywords: Giving Question And Getting Answer, learning outcomes, learning activities
Speckle and Metrology

One could argue whether speckle metrology is an imaging or a nonimaging application of speckle. On the one hand, most speckle interferometry systems have an imaging system that is used in gathering information. On the other hand, it is not the image of the object that is really of interest; rather it is information about mechanical properties of the object, such as movement, vibration modes, or surface roughness, that is desired. For this reason, plus the fact that speckle metrology is a well-developed field on its own, we have chosen to have a separate chapter devoted to this subject. While speckle has been a nuisance in almost all of the applications we have discussed previously, in the field of metrology, speckle is put to good use. Applications that use speckle for measurements of displacements arose in the late 1960s and early 1970s, often as an alternative to holographic interferometry. The field of speckle metrology has so many facets and so many applications that it is difficult to do it justice in a single chapter. At best we can only scratch the surface of such a rich and diverse field. We therefore restrict our goals to introducing some of the basic concepts while referring the reader to the more detailed treatments referenced above for a more in-depth study and more complete bibliographies.
Pengembangan lembar kerja Siswa (LKS) berbasis e-book pada materi himpunan untuk Siswa Kelas kelas VII MTs/SMP

ABSTRACTThis research aims to determine the effectiveness of the development of Student Worksheet Based E-book. E-book learning media is easier for the students better understand the material being taught. This research uses with a ADDIE. Data analysis was done by using quantitative descriptive data analysis.The results  validity of the media based on the assessment of validation matter experts (Lecturer in Mathematics Education) there are 4.6 to the category of very valid. Validation expert assessment of materials (teacher of mathematics) contained 3.7 with a valid category. While there are 4,2 with media (lecturer of Technology of Informasi) expert category valid and students response contained 80% strongly agree categories.  Test the effectiveness that the result of normality test, homogeneity and simple paired t test concluded that Haaccepted Ho then rejected it means Developing students worksheet based e-book is effective to be used in mathematics to Content Association of class VII MTs/SMP. Keywords: Students Worksheet (LKS) Based E-book
Structural Relationship among Distributed Leadership, Teacher Empowerment, and Job Satisfaction Perceived by Middle School Teachers

본 연구의 목적은 중학교 교사가 인식한 분산적 지도성, 교사 임파워먼트, 교사의 직무만족 간의 관계를 분석하는데 있다. 이러한 연구목적을 달성하기 위한 구체적인 연구문제는 다음과 같다. 첫째, 중학교 교사가 인식한 분산적 지도성, 교사 임파워먼트, 직무만족의 하위변인간의 상관은 어떠한가? 둘째, 중학교 교사가 인식한 분산적 지도성, 교사 임파워먼트, 직무만족의 구조적 관계는 어떠한가? 셋째, 중학교 교사가 인식한 분산적 지도성이 교사의 직무만족에 미치는 효과에서 교사 임파워먼트의 매개효과는 어떠한가? 연구 결과와 논의를 토대로 얻어진 결론은 다음과 같다. 첫째, 분산적 지도성, 교사 임파워먼트, 직무만족의 하위변인 간에는 모두 정적인 상관이 있다. 직무만족의 행정적 지원과 보상체계 요인 간의 상관이 가장 높고, 그 다음으로는 보상체계와 인정지위 요인 간의 상관이 높다. 둘째, 분산적 지도성은 교사 임파워먼트와 직무만족에 유의한 영향을 미치고, 교사 임파워먼트도 직무만족에 유의한 영향을 미친다. 분산적 지도성이 교사 임파워먼트에 미치는 영향이 가장 크고, 교사 임파워먼트가 직무만족에 미치는 영향이 그 다음으로 크다. 셋째, 교사 임파워먼트는 분산적 지도성이 교사의 직무만족에 미치는 영향에서 부분매개효과가 있다. 분산적 지도성이 교사의 직무만족에 미치는 직접효과 보다 교사 임파워먼트를 매개로 한 간접효과가 더 크다. 본 연구는 학교에서 분산적 지도성을 활성화하고 교사들의 임파워먼트를 높여서 교사의 직무만족을 높이기 위한 정책적 방안을 마련하는데 필요한 기초자료로 활용될 수 있을 것으로 기대된다.The purpose of this study is to analyze the structural relationship among distributed leadership, teacher empowerment, and job satisfaction of middle school teachers. The specific research questions to achieve this purpose are as follows. First, what is the correlation between sub-factors of the distributed leadership, teacher empowerment, and job satisfaction in middle school? Second, what is the structural relationship between distributed leadership, teacher empowerment, and job satisfaction in middle school? Third, what is the mediating effect of teacher empowerment on the effect of distributed leadership on job satisfaction of teachers in middle school? The subjects of the study were 400 teachers in 18 middle schools in J-do. 353 copies were statistically counted except for 25 copies responded inaccurately of the collected questionnaires. Based on the findings and discussions, the conclusions are as follows. First, there is a positive correlation between sub-factors of the distributed leadership, teacher empowerment and job satisfaction. The correlation between administrative support factor and compensation system factor of job satisfaction is the highest. The correlation between reward system factor and recognition status factor of job satisfaction is next highest. Second, distributed leadership has a significant effect on teacher empowerment and job satisfaction, and teacher empowerment also has a significant effect on job satisfaction. Distributed leadership has the greatest impact on teacher empowerment. Third, teacher empowerment has a partial mediating effect in the effect of distributed leadership on job satisfaction of teachers.
The Classification of Galaxy Images Using Neural Network Algorithm

The observation of the sky objects helps the astronomers to understand how the world is shaped. Due to the large number of the objects observed by the modern telescopes, it is very difficult to analyze them manually. An important part of the galaxies research is the classification based on Hubble's design. The purpose of this paper is the classification of the galaxy images using the neural network. Due to Hubble's design, the galaxies are divided into the regular galaxies and the irregular galaxies. The regular galaxies are divided into two groups (the spiral and elliptical galaxies). The spiral galaxies can be regarded as the elliptical galaxies or the circular galaxies (mistakenly), thus the galaxies classification is important. The proposed method uses the sdss dataset which contains 570 images. In the first phase, the pre-processing is performed which it contains the noise removal. In the next phase, the feature extraction is performed. We extract 827 features using the sub-windows, the different color spaces moments and the features of the local configuration patterns. In the third phase, the classification is performed by using the neural network. The proposed method is implemented in MATLAB and its accuracy and execution time is evaluated. Also, in this study, the proposed method is compared with similar methods which the results show that the proposed method has the better performance.
INVESTIGATING STUDENTS’ SPEAKING PROBLEMS IN CLASSROOM PRESENTATION

This study aimed at investigating students speaking problems’ and the reasons of those problems in presentation classroom.  A mix of quantitative and qualitative study was employed in this study. A Likert scale questionnaire about the speaking problems from Ur (1996) framework was handing out to 21 English Department students of 2017 academic year. In revealing the reasons of that factor, an interview was conducted for 10 out of those 21 participants. The results from questionnaire showed that the use of mother tongue (23%) become the most main problem for the students followed nothing to say factor (22%), inhibition (21%), and low or uneven participation (19%). The result of interview revealed the factors that cause those problems are the students feel more comfortable if they mix the language, the lack of vocabulary that makes them hesitant to speak and have nothing to say, fear of making errors or mistakes and nervousness, and fear of being mocked by the other students. The result of this study, therefore, will be a comprehensive source for the teachers in organizing their points of view toward developing students speaking skills in the classroom.
Awareness and Education Competence of the Trainer’s Nutrition Education

The health and fitness industry continues to grow in line with the demands of people seeking good physical health. The purpose of this study was to examine the trainer’s leadership capacity and nutritional education needs according to the evolution of the fitness industry. The subjects of this study were a national fitness trainer and 112 other participants. According to the results of this study, the demand for the nutrition education of health trainers is high. The educational medium is a booklet, and nutritional educators include nutritionists. The results showed that the frequency of training preferred is twice yearly. Additionally, as a result of analyzing how the eating habits of the trainers impacted the interest in nutrition education, it was shown that the eating habits of the trainer had an impact of 28.9% on the interest in nutrition education. Thus, customized nutrition education methods should be established for trainers to increase their capacity in meeting the nutrition guidance needs of clients.
Self-Adaptive Data Processing for the IoT Platform

Internet of Things (IoT) has become an integral part of our lives as we use it for connecting physical things together. With the increasing number of IoT devices, it is thus necessary to have a dynamically scalable system that adjusts computing resources according to different needs. A good scaling mechanism would have to maintain the service-level objective (SLO), and while minimizing computing resource usage would be desirable.Within the scope of this thesis, this study developed and evaluated various ways to calculate the desired number of container instances. The calculation of the desired number of instances is separated into scale-up calculation and scale-down calculation. If scale-up calculation is greater than or equal to the current number of instances, the scale-up calculation will then be used as the desired number of instances. Otherwise, the maximum between the scale-up calculation and scale-down calculation will then be used as the desired number of instances, but not greater than the current number of instances. Many calculations were evaluated to be used as scale-up calculation and scale-down calculation. This includes calculations based on the incoming message rate (producing rate), number of pending messages (message lag), and their forecast value using double exponential smoothing. In addition, the study evaluated different intervals to recompute the desired number of instances.The study found that Kubernetes's built-in auto scaling solution has too many limitations that are hard to circumvent without rewriting the source code. Therefore, a self-adaptive agent for auto scaling was built from the ground up to run the defined scaling mechanisms. The developed self-adaptive agent can query and analyze complex structured data from the system by itself; it can also limit scale-down actions in a period of time.Overall, the study found that calculations based on forecast message lag could offer more computing resource savings while most messages are within the SLO than other methods tested. This study found that using the forecast-message-lag-based calculation for scale-up and scale-down calculation could save about 10% of the computing resource usage from the producing-rate-based calculation, while about 96% of the messages are within SLO in the test with the generated seasonal load. In addition to this, separating the calculation of the desired number of instances into scale-up calculation and scale-down calculation also helps to control scaling behavior more precisely. Applying the self-adaptive agent for auto scaling and the scaling mechanisms with queue-based IoT solutions could help in terms of scalability and efficiency of the system.
PENINGKATAN MUTU PENDIDIKAN MELALUI SINERGI KEBIJAKAN ANTARA PEMERINTAH PROVINSI, KABUPATEN, DAN KOTA

Abstract: This study aims to identify forms of synergy between provincial, districts, and city governments in the management of primary and secondary education by involving cross-stakeholders. This study uses a qualitative method. The conclusion of this research is the development of the education sector cannot be done partially. Institutions are needed for coordination, integration, and acceleration of the increase and even distribution of quality of education in Lampung Province, which represents provincial, districts, and city level policy makers. Increasing teacher competency needs to be a priority of the provincial, districts, and city governments in efforts to improve and evenly distribute the quality of primary and secondary education, including the ability and mastery of soft skills. Supporting infrastructure also determines the success of the development of the education sector. Provincial, districts, and city governments also need to develop special learning models, aimed at students with special intelligence and talent potential. Keywords: synergy, development, competence, education, infrastructure.
LibGuides: Scholarly Activity Toolkit: Permissions

This toolkit provides resources to help MAHEC users read, process, and produce scholarly activity.
Pattern Discovery for Text Mining Measured by Levenshtein Edit Distance

The text mining techniques are utilized to extract interesting knowledge or information from the text documents. The process of finding accurate knowledge in text documents represents the main challenge for the users. Since many existing techniques of text mining encompassed term-based approaches, these techniques face the issues of synonymy and polysemy. Over the years, the researchers have discovered the assumption that pattern-based methodologies must provide better performance than the term based ones. This paper proposes an effective and innovative technique for pattern discovery that contains the pattern taxonomy model and Levenshtein edit distance algorithms for improving the efficiency of utilizing and updating the obtained patterns to find interesting and relevant information. This system shows that the accuracy of PTM is 98.09% for a specific dataset.
Role and Impact of Digital Forensics in Cyber Crime Investigations

Cybercrime is a growing problem, but the ability of law enforcement agencies to investigate and successfully prosecute criminals for these crimes is unclear. While law enforcement agencies have been conducting these investigations for many years, the previously published needs assessments all indicated that there is lack the training, tools or staff to effectively conduct investigations with the volume or complexity included in many of these cases. This study discussed on Cybercrime and Global Economic Growth, Reasons for Conducting a Digital Forensic Investigation, Various Branches of Digital Forensics in details, Potential Source of Digital Evidence, standard operating procedure for digital evidence, Legal Aspects and What the Future Holds in the field of digital forensics.
Students' Ability to Arrange Learning Devices Using Discovery Learning Model in Innovative Learning II Course

Based on mathematics curriculum development in primary and secondary schools, Unesa Mathematics Department through the KKNI curriculum has tried to adjust 2013 curriculum, which is to teach students about learning with scientific and constructivist approach.This is done in the subject of Innovative Learning II through discovery learning chapter.Therefore, this study aims to determine the ability of Mathematics Education students to develop learning devices with discovery learning models in the subjects of Innovative Learning II.This study included qualitative descriptive research.The subject of this research was 25 people of 2016 U class in Mathematics Education Study Program.This study uses Validation Sheet and Task Sheet as instrument.The results of this study are the ability of students to choose mathematical material that is suitable for compiling discovery learning devices in the Innovative Learning II course, which is students generally only be able to explain the basic theoretical, mention, and explain the phase of discovery learning.Nevertheless, in the Innovative Learning II course shows that almost all students have been able to compile a tool for the discovery learning model, because students have demonstrated learning objectives, learning materials, learning steps, and worksheet used.
An Approach for Investigating Emotion Dynamics in Software Development

Emotion awareness is critical to interpersonal communication, including that in software development. The SE community has studied emotion in software development using isolated emotion states but it has not considered the dynamic nature of emotion. To investigate the emotion dynamics, SE community needs an effective approach. In this paper, we propose such an approach which can automatically collect project teams' communication records, identify the emotions and their intensities in them, model the emotion dynamics into time series, and provide efficient data management. We demonstrate that this approach can provide end-to-end support for various emotion awareness research and practices through automated data collection, modeling, storage, analysis, and presentation using the IPython's project data on GitHub.
Effectual Discover And Contrary Of Put Via Cipher Text Data In The Cloud

A cloud-based file encryption scheme is proposed for files in the cloud. We recommend the types of layers for access multiple architectures to resolve the problem of multiple series files discussed. We are conducting and implementing a comprehensive experience for the H-Club Penguin-ABE Plan. The cost of the current system is high, coding time is high, some time to understand the system, and the cost of the account is high. Layered access structures are incorporated into only one access structure, after which, sequential files are encrypted using the integrated access structure. Attributes can be shared by top text component files. The Club Penguin-ABE is more suitable for many use plans and therefore for general purposes. Multiple series files that are discussed are resolved using a layer type access structure. In the proposed system, both the top text storage and the time encoding values ​​of the files are saved. As the size of the files grows, the benefits of our plan become more apparent. Therefore, both zero text storage is saved and the cost time for encoding files. In addition, the proposed plan proved to be safe under the standard concept.
LibGuides: APA 7th Edition Referencing Guide1: Blog posts and social media

A Wintec Library guide to referencing in APA 7th edition style How to reference blog posts and social media including Facebook and Twitter.
Learning vocabulary through generation with translation-ambiguous and semantically-ambiguous words

Learning a language involves learning both word forms and word meanings, as well as the ways in which these forms and meanings are connected (e.g., Rice & Tokowicz, 2019). Unfortunately for language learners, language is rife with both within-language semantic ambiguity and cross-language translation ambiguity. Ambiguity often leads to difficulty learning and processing new words (e.g., Degani & Tokowicz, 2010). In three experiments, I investigate whether strengthening meaning representations during learning via the generation of semantically-related material (i.e., the generation effect) may mitigate difficulties associated with learning translation-ambiguous and semantically-ambiguous words. In Experiment 1, native English speakers learned word pairs that were translation-ambiguous or unambiguous from German to English using a generation task (write a sentence containing a target word) or a control task (read an experimenter-generated sentence containing a target word). Results revealed that generation was more beneficial for ambiguous than unambiguous words, and furthermore that individual differences in WM and inhibitory control affected ambiguous and unambiguous words in different ways. In Experiment 2, native English speakers learned unknown English ambiguous and unambiguous words using the same generation or control tasks as in Experiment 1. Results revealed a complex interaction of ambiguity, generation, and inhibitory control during free recall. In Experiment 3, native English speakers learned the same words as in Experiment 2 with either generation or a control task, but additionally words were trained with either context sentences or definitions. Results revealed that ambiguity, generation, and working memory interact during free recall, and furthermore that meanings for words that were trained with definitions and generation were recalled significantly better than words trained with definitions but without generation, or words trained with context sentences with or without generation. Results are examined in light of the semantic settling dynamics account (Armstrong & Plaut, 2016) and the instance-based framework for word learning (Bolger, Balass, Landen, & Perfetti, 2008), and implications for models of translation ambiguity, semantic ambiguity, and generation effects are discussed.