1,720,987 research outputs found
PEMODELAN SPASIAL EPIDEMIOLOGI DEMAM BERDARAH DENGUE MENGGUNAKAN SISTEM INFORMASI GEOGRAFI DI KECAMATAN DEPOK KABUPATEN SLEMAN YOGYAKARTA
The objective of this research is for developing a prototype of Dengue Haemorrhagic Fever Epidemiologic Spatial Modeling to define the irritable area rates for that disease. The research is conducted at Depok, Sleman, Yogyakarta. The model’s made by GIS with overlaying 8 parameters: population density, the cleaning activity frequency of water vessel, waste management pattern, frequency of fogging, drainage condition, settlement pattern, distance settlement from river, and survillance. Each parameter’s analyzed by cross tabs analyze to see its correlation with the actual case. The result from this analyze is used to give weighting factors for those parameters. The research finding show that 8 parameters have partial correlation with actual case of dengue fever. The result model is tested again with the actual dengue fever case. As we can see from crosstab test ,the value of C (coefficient contingency) = 0,558. So the research gives a meaningful test, and we can take conclusion that there’s a real correlation between dengue fever irritable model and actual dengue fever case.</jats:p
PENYUSUNAN BASIS DATA SPASIAL SUMBERDAYA AIR MELALUI PARTISIPASI MASYARAKAT (Studi Kasus di Desa Kepuharjo Kecamatan Cangkringan Kabupaten Sleman Provinsi Daerah Istimewa Yogyakarta)
PENYUSUNAN BASIS DATA SPASIAL SUMBERDAYA AIR MELALUI PARTISIPASI MASYARAKAT (Studi Kasus di Desa Kepuharjo Kecamatan Cangkringan Kabupaten Sleman Provinsi Daerah Istimewa Yogyakarta)
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
Aplikasi object-based image analysis untuk identifikasi awal permukiman kumuh menggunakan Citra satelit worldview-2
Permukiman kumuh adalah perumahan yang mengalami penurunan kualitas fungsi sebagai tempat hunian. Tidak layak huni karena ketidakteraturan bangunan, tingkat kepadatan bangunan yang tinggi, dan kualitas bangunan serta sarana dan prasarana yang tidak memenuhi syarat, (UU No.1 Tahun 2011). Permukiman kumuh banyak ditemukan di kota-kota besar termasuk di sebagian Kota Yogyakarta, karena tidak layak dari sisi keaman, kesehatan dan tidak sesuai dengan tata ruang kota, maka perlu penanganan kawasan permukiman kumuh ini. Sebagai upaya penanganan kawasan kumuh, dibutuhkan pemantauan kawasan permukiman kumuh secara berkelanjutan, sehingga perlu suatu identifikasi cepat untuk membantu pemetaan kawasan kumuh. Penelitian ini bertujuan untuk identifikasi awal permukiman kumuh menggunakan pendekatan Object Base Image Analysis (OBIA) serta menguji kemampuan interpretasi OBIA dalam melakukan pengenalan permukiman kumuh berdasarkan ciri fisik permukiman. Data yang digunakan berupa Citra Satelit Worldview-2 tahun perekaman 2016, data kawasan kumuh Kota Yogyakarta dari program KOTAKU Yogyakarta, dan data survey lapangan. Alat yang digunakan berupa GPS, computer yang dilengkapi dengan software Ecognition, ENVI dan ArcGIS.10.2. Langkah pertama yang dilakukan sebelum menjalankan proses OBIA adalah mengenali karakteristik permukiman kumuh baik dari studi literatur, perundang-undangan maupun pengamatan lapangan. Berdasarkan studi sebelumnya dapat disusun aturan/kunci interpretasi untuk mendeteksi permukiman kumuh. Hasil identifikasi awal permukiman kumuh menggunakan OBIA dapat dilakukan berdasarkan analisis pola permukiman, kondisi jalan, tekstur, vegetasi dan jarak dengan sungai. Identifikasi permukiman kumuh di wilayah pinggiran sungai berdasarkan kondisi fisik permukiman menggunakan citra Wordview-2 mengasilkan ketelitian sebesar 82,14%. Ketelitian ini dapat dikatakan baik sehingga kedepannya diharapkan dapat membantu identifikasi awal dalam rangka pemetaan permukiman kumuh terutama di wilayah pinggiran sungai
ABSTRACT
Slums are housing that have decreased the quality of function as dwellings. Uninhabitable due to building irregularities, high levels of building density, and the quality of buildings and facilities and infrastructure that do not meet the requirements, (Act No.1 of 2011). Slum settlements are found in large cities including in parts of Yogyakarta City, because they are not feasible in terms of security, health and are not in accordance with the urban spatial structure, it is necessary to deal with these slums. As an effort to deal with slum areas, it is necessary to monitor slum areas in a sustainable manner, so that a quick identification is needed to assist in mapping the slums. This study aims to initial identification of slums using the Object Base Image Analysis (OBIA) approach and to test the ability of OBIA's interpretation of the introduction of slums based on physical characteristics of settlements. The data used are recording Worldview-2 years Satellite Image 2016, data from Yogyakarta City slum area from Yogyakarta KOTAKU program, and field survey data. The tools used in the form of GPS, computers equipped with Ecognition, ENVI and ArcGIS software.10.2. The first step taken before carrying out the OBIA process is to recognize the characteristics of slums both from literature studies, legislation and field observations. Based on previous studies, rules / key interpretations can be prepared to detect slums. The results of the initial identification of slums using OBIA can be done based on the analysis of settlement patterns, road conditions, texture, vegetation and distance to the river. Identification of slums in the riverside area based on the physical conditions of settlements using Wordview-2 imagery resulted in accuracy of 82.14%. This accuracy can be said to be good so that in the future it is expected to be able to help initial identification in the framework of mapping slum settlements, especially in the riverside area
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
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