1,720,955 research outputs found
Maximum Spanning Tree Graph Model: National Examination Data Analysis of Junior High School in Lampung Province
The purpose of this study is to determine the tendencies of learning in Lampung Province especially at junior high school level. Subjects of this study are all result of national examination data for junior high school in 2017 and 2018 in Lampung Province. The method of this study using model analysis of maximum spanning tree (MST) graph assisted by descriptive and inferential statistics technique. The data obtained are analysed using descriptive statistical analysis to find out the basic information of the data and inferential statistical analysis to get the value of coefficient correlation. Then, the MST graph is formed using Kruskal’s algorithm by interpreting the vertices as a subject and the edges as the value of coefficient correlation. The subject that have the closest relationship to any subject is a graph vertex with the greatest degree. Based on the MST graph model, the result of this study shows that the subject which has closest relationship with another subject is Science in 2017, while in 2018 are English and Mathematics. Based on these result and relevant research, the conclusion shows that Science and Mathematics to be the centre for the national examination of junior high school in 2017 and 2018 in Lampung Province
Persepsi Peserta Didik terhadap Metode Blended Learning dengan Google Classroom
The Industrial Revolution 4.0 encourages change in the process of education and online learning is one of the challenges that must be faced. Blended Learning is one solution to that change. The purpose of this study was to find out the attitudes of students towards the learning process through Blended Learning with a sample of Statistics classes atUniversitas Teknokrat Indonesia. The online learning process is done using Google Classroom. Data collection and analysis techniques use attitude scale questionnaires consisting of two variables, attitudes toward the learning process and attitudes towards material understanding, which are supported by 9 indicators and 21 statements. The results of this study indicate that students feel the learning process with the Blended Learning Method through Google Classroom makes the learning process interesting, effective, fosters motivation, fosters an attitude of independent learning, active, and creative. In addition, this method can also improve students' understanding and learning outcomes. However, students feel the learning process is inefficient because it requires them to have a data package. Therefore, the role of the government is very important, such as facilities and infrastructure to support the Blended Learning process so that students can stay connected to the free internet.Revolusi Industri 4.0 mendorong perubahan pada proses pendidikan dan pembelajaran daring merupakan salah satu tantangan yang harus dihadapi. Blended Learning merupakan salah satu solusi untuk menuju perubahan tersebut. Tujuan penelitian ini adalah untuk mengetahui sikap siswa terhadap proses pembelajaran berbasis Blended Learning pada sampel kelas Statistika di Universitas Teknokrat Indonesia. Proses pembelajaran daring dilakukan dengan menggunakan Google Classroom. Teknik pengumpulan dan analisa data menggunakan angket skala sikap yang terdiri dari dua variabel, sikap terhadap proses pembelajaran dan sikap terhadap pemahaman materi, yang didukung oleh 9 indikator dan 21 pernyataan. Hasil penelitian ini menunjukan bahwa peserta didik merasa proses pembelajaran dengan Metode Blended Learning melalui Google Classroom ini membuat proses pembelajaran menjadi menarik, efektif, menumbuhkan motivasi, menumbuhkan sikap belajar mandiri, aktif, dan kreatif. Selain itu, metode ini juga dapat meningkatkan pemahaman dan hasil belajar peserta didik. Namun, peserta didik merasa proses pembelajaran menjadi tidak efisien karena mengharuskan mereka mempunyai paket data. Oleh karena itu, peran pemerintah dirasa sangat penting, salah satunya dalam hal pengadaan sarana dan prasarana untuk mendukung proses pembelajaran Blended Learning agar dapat memudahkan peserta didik untuk tetap terhubung dengan internet secara gratis. 
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
- …
