1,721,168 research outputs found
Revitalisasi Pengelolaan Jurnal IJID
No full textIJID journal is one of scientific journal that belongs to Department of Informatics, Master and Undergraduate Programs, Faculty of Science and Technology, UIN Sunan Kalijaga. In this paper, we discuss problems that this journal faces. We describe also activities that we have done to solve those problems. Problems, such as discontinuity in publishing papers, not yet registered with DOAJ, not yet obtained national accreditation (namely Sinta), and not yet internationally recognized by Scopus index, are usual journal management problems that happened on journals. IJID editorial has conducted several treatments to combat those problems. As a result, some editions can be published. Now, IJID steps more further to apply for DOAJ and national accreditation
Multisystem inflammatory syndrome in children across 16 Latin American countries: A multicenter study from the REKAMLATINA Network
No full textObjectives: Our aim was to describe the epidemiology and outcomes of multisystem inflammatory syndrome in children (MIS-C) in Latin America. Methods: We conducted an observational, retrospective, and prospective multicenter study that gathered information from 84 participating centers across 16 Latin American countries between August 1, 2020 and June 30, 2022. Results: Of the 1239 reported children with MIS-C, 84.18% were previously healthy. The most frequent clinical manifestation in our studied population was abdominal pain (N = 804, 64.9%), followed by conjunctival injection (N = 784, 63.3%). The median duration of fever at the time of hospital admission was 5 days and a significant number of subjects required admission to an intensive care unit (N = 589, 47.5%). Most of the subjects (N = 1096, 88.7%) were treated with intravenous immunoglobulin, whereas 76.7% (N = 947) were treated with steroids, of whom 10.6% (N = 100) did not receive intravenous immunoglobulin. The death rate attributed to MIS-C was 4.88%, with a rate of 3.39% for those initially diagnosed with MIS-C and 8.85% for those whose admission diagnosis was not MIS-C (P <0.001, odds ratio 2.76, 95% confidence interval 1.6-4.6). Conclusions: One of the most significant findings from our study was the death rate, especially in those not initially diagnosed with MIS-C, in whom the rate was higher. This highlights the importance of increasing awareness and making an earlier diagnosis of MIS-C in Latin America. © 2024 The Author(s
(IJID - S3) - Fathurrohman, Afandi, Hasan [2024-08-31]
Get PDFThis study aims to analyze the sentiment of the Indonesian public regarding the participation of the Indonesian National Team in the 2024 U-23 Asian Cup through the social media platform X. Sentiment analysis is crucial for understanding public perception and its impact on support for the national team. The research methodology involves collecting user comments on X related to the team's performance during the tournament, followed by data cleaning. The dataset is manually labeled, with 80% used as training data for algorithmic model training and the remaining 20% as test data, classified using Naive Bayes and Support Vector Machine algorithms. The analysis results indicate that the SVM algorithm achieves a higher % accuracy rate of 95% compared to Naive Bayes, which achieves 87%. The majority of the 3367 opinions analyzed express positive or satisfactory sentiments towards the national team's participation. However, there are fewer negative sentiments, highlighting areas requiring team management's attention. This study provides valuable insights into public perception of the Indonesian National Team. Furthermore, these findings can inform policymakers and team managers' decision-making to enhance the team's quality and performance in the future
(IJID - S3) - Handika, Hanif, Hasan [2024-06-30]
Get PDFUsing Twitter as a platform for sharing information includes tracking public perceptions of the performance of the Indonesian National Police (POLRI). Public sentiment assists as a gauge for evaluating POLRI's operational capabilities and supports decision-making processes to enhance the organization's reputation. However, raw public opinion data often requires careful analysis for decision-making. Hence, conducting sentiment analysis of Twitter data is crucial. This analytical process involves extracting and classifying opinions into neutral, positive, and negative sentiments. This study employs two distinct sentiment analysis methods: the Naive Bayes algorithm and the K-Nearest Neighbors. Analysis of 1285 tweets reveals prevailing satisfaction with POLRI's performance, indicated by many positive sentiments. However, there is also a notable number of negative feelings. The assessment from confusion matrix results demonstrate that the Naive Bayes algorithm achieves 99.03% accuracy, while the K-Nearest Neighbors algorithm achieves 95.33% accuracy. By leveraging insights from public opinion data, POLRI can make more accurate and timely decisions, enabling it to better fulfill the community's needs and expectations. This strategic use of data enhances service quality and bolsters POLRI's favorable image among the public fosters more harmonious relationships and enhances public trust in law enforcement agencies
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
- …
