1,720,956 research outputs found
Audit Sistem Informasi SMA Al Hidayah Way Seputih Divisi Tata Usaha
No full textSMA Al Hidayah Way Seputih berdiri diatas tanah wakaf pada tanggal 1 juli 2006. Pada mulanya sekolah ini bukanlah sekolah melainkan pondok Pesantren, karena sesuatu hal maka Pesantren tersebut harus di pindahkan kepesantren yang lain. Dan berdirilah sekolah SMA Al Hidayah Way Seputih yang aktif sampai sekarang ini. Tata Usaha sekolah adalah bagian dari unit pelaksana teknis penyelenggaraan sistem administrasi dan informasi pendidikan di sekolah. Informasi yang tata usaha sekolah kelola penting sebagai basis pelayanan dan bahan pengambilan keputusan sekolah. Semakin lengkap dan akurat data terhimpun maka pemberian pelayanan makin mudah dan pengembilan keputusan makin tepat
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
Perbandingan Akurasi Metode Deteksi Ujaran Kebencian dalam Postingan Twitter Menggunakan Metode SVM dan Decision Trees yang Dioptimalkan dengan Adaboost
Full text linkPada era digital saat ini, akses informasi dan transaksi online telah memberikan kemudahan dan efisiensi bagi manusia. Di Indonesia, peningkatan jumlah penduduk yang terkoneksi internet menjadi 77,02% pada tahun 2021-2022. Namun, penggunaan media sosial juga membawa dampak negatif, termasuk penyebaran konten berbahasa negatif dan ujaran kebencian oleh sebagian oknum. Ujaran kebencian, yang melanggar hukum, memiliki efek samping seperti pembungkaman, penindasan, dan penyebaran rasa benci serta kondisi tidak nyaman lainnya. Oleh karena itu, banyak penelitian dilakukan untuk mendeteksi dan mengurangi penyebaran ujaran kebencian di media sosial, baik di Twitter maupun Instagram. Beberapa penelitian menggunakan metode word2vec dengan skip-gram, TextCNN, dan random oversampling untuk mendeteksi ujaran kebencian pada komentar Instagram. Metode ini menghasilkan akurasi terbaik dengan skor F1 sebesar 93,70%. Selain itu, penelitian juga mencoba menggunakan algoritma GRU dan LSTM dalam pelatihan dan pengujian model untuk meningkatkan kinerja deteksi. Algoritma Latent Dirichlet Allocation (LDA) juga digunakan untuk mengekstrak topik dari tweet dan menganalisis sentimen pada setiap tweet. Berdasarkan penelitian-penelitian tersebut, peneliti akan melakukan pengujian deteksi teks menggunakan algoritma K-Nearest Neighbor, dan Decision Tree terhadap ujaran kebencian pada postingan Twitter dengan tagar #indonesia. Pengumpulan data dilakukan melalui API Twitter dengan implementasi menggunakan bahasa pemrograman Python. Data tweet akan dilabeli menggunakan sentistrength, dan kemudian dilakukan klasifikasi menggunakan metode K-Nearest Neighbor, dan Decision Tree untuk menentukan sentimen pada data tersebut. Topik ini penting untuk diteliti karena penyebaran ujaran kebencian di media sosial dapat memiliki dampak negatif yang signifikan. Dengan menggunakan pendekatan dan metode yang tepat, penelitian ini bertujuan untuk mengembangkan alat pendeteksi yang efektif untuk melindungi individu dan masyarakat dari dampak negatif ujaran kebencian di media sosial
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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