1,720,961 research outputs found

    Pengembangan Indeks Prediktor Perilaku Juvenile Elinquency

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    Latar belakang: Juvenile delinquency adalah kenakalan remaja yang bersinggungan dengan hukum peradilan. Masalah ini perlu penanganan serius. Kegagalan menangani remaja delinkuen mengakibatkan kehancuran bangsa karena mereka adalah aset bangsa. Objektif: Mengembangkan Indeks predictor perilaku juvenile delinquency berdasarkan faktor risiko. Metode: Jenis penelitian adalah Research and Development. Tahap pertama: penelitian observasional, desain cross sectional. Tujuan menganalisis pengaruh faktor risiko terhadap juvenile delinquency. Penelitian dilakukan di sekolah dan Lembaga Pembinaan Khusus Anak (LPKA). Sampel 235 remaja siswa dan 60 remaja LPKA, dengan teknik acak sederhana. Analisis menggunakan uji regresi logistik. Tahap kedua: pengembangan indeks prediktor juvenile delinquency. Analisis menggunakan uji regresi logistik multivariabel selanjutnya Foccus Group Discussion dan diskusi pakar. Tahap ketiga: pengembangan dan uji coba tool. Uji coba dilakukan di sekolah. Sampel adalah 24 siswa tidak bermasalah dan 24 siswa bermasalah, teknik purposive sampling. Hasil dan Kebaruan: 1) Faktor prediktor terjadinya juvenile delinquency yang pertama adalah teknologi, selanjutnya teman sebaya, keluarga dan lingkungan sekolah. 2) Formula deteksi dini perilaku juvenile delinquency yaitu: Skor Potensi (P) = (Skor Perolehan/Skor Maksimal) x Skor risiko. Rentang skor potensi kenakalan remaja adalah risiko 0 tidak ada risiko (82-101), risiko 1 ringan (64 – 82), risiko 2 sedang (45 – 63) dan Risiko berat (< 45). 3) Diperoleh tool aplikasi dengan nama “Tri Anjaswarni Health of Mellineal Score”. Hasil uji coba menunjukkan bahwa tool cukup sensitif dengan tingkat kesesuaian 67%. Simpulan: juvenile delinquency diprediksi melalui faktor teknologi, teman sebaya, keluarga dan lingkungan sekolah. Tool aplikasi digunakan untuk deteksi dini juvenile delinquency kelompok risiko sebagai upaya pencegahan

    The determinant factor of juvenile delinquency (path analysis model)

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    There are many determinants of juvenile delinquency, one of them is technology. Technology is an integral part of modern society. However, misuse and uncontrolled use of technology may lead to negative impacts, one of which is juvenile delinquency. The objective of the study was to develop a determinant model of juvenile delinquency elicited from a path analysis. It was an observational study with a cross-sectional design. The sample size was 295 adolescents aged 12-19 years, consisting of adolescents at school and in the Juvenile Detention Centre (JDC). The data were taken a simple random sampling technique.. The analysis used Structural Equation Modelling. The determinants, which had a direct influence on juvenile delinquency were technology, peers, and lifestyle. Technology played a central role as the determinant that directly affected juvenile delinquency as many as 2.03 (203%). Digital technology may threaten adolescents as it can create and increase their delinquent behavior if its use is not controlled. The use of technology by adolescents needs to be supervised by parents and teachers together with nurses in community-based health practice

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

    Dispelling the Myths Behind First-author Citation Counts

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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
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