1,720,954 research outputs found
Penerapan spatial durbin model dalam pemodelan covid-19 sebagai mitigasi bencana di provinsi Jawa Timur
Get PDFPada masa sekarang ini seluruh belahan dunia dihadapkan pada suatu usaha dalam menangani pandemi yang menyebabkan banyak orang meninggal dunia. Pandemi ini disebabkan oleh adanya corona virus atau covid-19. Jawa Timur merupakan salah satu daerah dengan jumlah terkonfirmasi covid-19 tertinggi di Indonesia. Perlu adanya metode yang dapat memodelkan dan mengetahui faktor-faktor apa saja yang mempengengaruhi studi kasus tersebut dengan mempertimbangkan aspek lokasi atau tempat. Spatial Durbin Model (SDM) adalah metode dalam regresi spasial yang mempertimbangkan aspek lokasi dan merupakan bentuk model khusus dari SAR dengan memperhatikan suatu pengaruh spasial baik dari segi variabel bebas atau variabel terikatnya. Berdasarkan hasil perhitungan menggunakan metode Spatial Durbin Model (SDM) didapatkan hasil bahwa faktor yang berpengaruh signifikan adalah jumlah penduduk yang tidak bekerja dan jumlah penduduk yang telah vaksin. Hasil R square didapatkan sebesar 91.11% dan MAPE sebesar 24.74
Perbandingan Metode Single Linkage, Complete Linkage, dan Average Linkage pada Kesejahteraan Masyarakat pad a Kabupaten dan Kota di Jawa Timur
No full textCommunity welfare is one of the important points for a region and is also the essence of national development. The welfare of the people in Indonesia is fairly unequal, especially in East Java. To be able to map an area to the welfare of its people in East Java, one way that can be used is to use clustering. The hierarchical clustering method is one of the clustering methods for grouping data. In hierarchical clustering, single linkage, complete linkage, and average linkage methods are suitable methods for grouping data, which will compare the best method to use. The results of the calculation show that the average linkage method with three clusters is the best calculation with a silhouette index value of 0.6054, with the 1st cluster there are 23 regions, namely the city/district with the highest community welfare, the 2nd cluster there are 11 regions, namely cities/districts with moderate social welfare, and in the third cluster there are 4 regions, namely cities/districts with the lowest community welfare.Kesejahteraan masyarakat merupakan salah satu poin penting bagi suatu daerah dan juga merupakan hakikat pembangunan nasional. Kesejahteraan masyarakat di Indonesia terbilang tidak merata, khususnya Jawa Timur. Untuk dapat memetakan suatu wilayah terhadap kesejahteraan masyarakat di Jawa Timur, salah satu cara yang dapat dipergunakan adalah menggunakan clustering. Metode hierarchical clustering merupakan salah satu metode clustering untuk mengelompokkan suatu data. Pada hierarchichal clustering, metode single linkage, complete linkage, dan average linkage merupakan metode yang cocok untuk digunakan dalam pengelompokkan data, yang nanti akan dibandingkan metode yang terbaik untuk digunakan. Hasil dari perhitungan didapatkan bahwa metode average linkage dengan tiga klaster merupakan perhitungan yang paling baik dengan nilai silhouette index sebesar 0,6054, dengan klaster ke-1 terdapat 23 daerah yaitu kota/kabupaten dengan kesejahteraan masyarakat tertinggi, klaster ke-2 terdapat 11 daerah yaitu kota/kabupaten dengan kesejahteraan masyarakat sedang, dan klaster ke-3 terdapat 4 daerah yaitu kota/kabupaten dengan kesejahteraan masyarakat terendah
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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