1,720,954 research outputs found
Analisis Tingkat Kerawanan Longsor Menggunakan Metode Skoring di Kampus Notohamidjojo Universitas Kristen Satya Wacana
Get PDFDeforestation previously carried out for the construction of campus buildings in the Notohamidjojo campus was feared to cause soil erosion. The research's primary objectives is analyze the spatial distribution of landslide susceptibility levels. This research was conducted by utilizing GIS as the main analysis tool. The analysis method used to analyze the level of landslide susceptibility is the scoring method. The parameters of this study include slope steepness, land use, soil erodibility, and rainfall intensity. The results of this study indicate that more than 50% of the Notohamidjojo campus area is susceptible to landslides. The medium class has the largest distribution area on Notohamidjojo campus with an area of 5,77 ha or 46,50% of the total area. The very high class has the smallest distribution area with an area of 0,01 ha or 0,09% of the total area. The very low class has an area of 0,96 ha or 7,71% of the total area. The low class has an area of 4,48 ha or 36,10% of the total area. The high class has an area of 1,19 ha or 9,61% of the total area.Deforestasi yang sebelumnya dilakukan guna pembangunan gedung-gedung di kampus Notohamidjojo dikhawatirkan dapat menyebabkan terjadinya erosi tanah. Tujuan utama dari penelitian ini adalah menganalisis distribusi spasial tingkat kerawanan longsor. Penelitian ini dilakukan dengan memanfaatkan SIG sebagai alat analisis utama. Metode analisis yang digunakan untuk menganalisis tingkat kerawanan longsor adalah metode skoring. Parameter penelitian ini meliputi kemiringan lereng, tutupan lahan, erodibilitas tanah, dan intensitas curah hujan. Hasil dari penelitian ini menunjukkan bahwa lebih dari 50% wilayah kampus Notohamidjojo rawan terhadap longsor. Kelas sedang memiliki sebaran wilayah terluas di kampus Notohamidjojo dengan luas 5,77 ha atau 46,50% dari total luas wilayah. Kelas sangat tinggi memiliki luas sebaran terkecil dengan luas 0,01 ha atau 0,09% dari total luas wilayah. Kelas sangat rendah memiliki luas 0,96 ha atau 7,72% dari total area. Kelas rendah memiliki luas 4,48 ha atau 36,10% dari total area. Kelas tinggi memiliki luas 1,19 ha atau 9,61% dari total area
ANALYSIS OF LANDSLIDE SUSCEPTIBILITY LEVEL USING SCORING METHOD IN THE NOTOHAMIDJOJO CAMPUS, SATYA WACANA CHRISTIAN UNIVERSITY
Get PDFPenebangan hutan yang sebelumnya dilakukan untuk pembangunan gedung kampus di kampus Notohamidjojo dikhawatirkan akan menyebabkan erosi tanah. Tujuan utama penelitian ini adalah menganalisis sebaran spasial tingkat kerentanan tanah longsor. Penelitian ini dilakukan dengan memanfaatkan GIS sebagai alat analisis utama. Metode analisis yang digunakan untuk menganalisis tingkat kerentanan tanah longsor adalah metode scoring. Parameter penelitian ini meliputi kecuraman lereng, penggunaan lahan, erodibilitas tanah, dan intensitas curah hujan. Hasil penelitian ini menunjukkan bahwa lebih dari 50% kawasan Kampus Notohamidjojo rawan terhadap bencana tanah longsor. Kelas tinggi mempunyai wilayah sebaran terluas di kampus Notohamidjojo dengan luas 5,77 ha atau 46,50% dari total luas. Kelas sedang mempunyai luas sebaran terkecil dengan luas 0,01 ha atau 0,09% dari total luas wilayah. Kelas sangat rendah mempunyai luas 4,48 ha atau 36,10% dari luas wilayah. Kelas sangat tinggi mempunyai luas 1,19 ha atau 9,61% dari total luas wilayah. Kelas rendah mempunyai luas 0,96 ha atau 7,71% dari total luas wilayah
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
- …
