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Hubungan antara Prestasi Belajar Kognitif Mata Pelajaran Akidah Akhlak dan Tingkat Penyimpangan Perilaku Peserta Didik di MTs NU 01 Banyuputih Batang Tahun Pelajaran 2012/2013
Full text linkPermasalahan yang menjadi kajian peneliti, yaitu: Bagaimanakah Hubungan antara prestasi belajar kognitif mata pelajaran akidah akhlak dan tingkat penyimpangan perilaku peserta didik di MTs NU 01 Banyuputih Batang tahun pelajaran 2012/2013?
Penelitian ini bertujuan untuk mengetahui: Hubungan antara prestasi belajar kognitif mata pelajaran Akidah Akhlak dan tingkat penyimpangan perilaku peserta didik di MTs NU 01 Banyuputih tahun ajar 2012/2013.
Penelitian ini adalah penelitian korelasional dengan analisis product moment. Subyek penelitian ini adalah 32 responden. Data penelitian yang terkumpul dianalisis dengan menggunakan teknik statistik inferensial. Pengujian hipotesis penelitian menggunakan teknik korelasi product moment. Dari analasis uji hipotesis diketahui, ada hubungan negatif yang sangat kuat antara prestasi belajar kognitif mata pelajaran akidah akhlak dan tingkat penyimpangan perilaku peserta didik di MTs NU 01 Banyuputih Batang. Hal ini ditunjukkan dari nilai koefisien korelasi diketahui, bahwa rxy = -0.674> rtabel (0,05)= 0,349 dan rxy = -0.674> rtabel (0,01)= 0,449. Dengan demikian harga rxy = -0.674 dinyatakan signifikan, karena rxy> rt. Hal tersebut membuktikan bahwa terdapat korelasi negatif yang signifikan antara variabel X dan Y dan hipotesis diterima. Ini berarti hubungan antara prestasi belajar kognitif mata pelajaran akidah akhlak dan tingkat penyimpangan perilaku peserta didik sangat kuat, dan prestasi kognitif akidah akhlak itu mempengaruhi tingkat penyimpangan perilaku siswa, karena semakin baik nilai prestasi kognitif akidah akhlak maka semakin rendah tingkat penyimpangan perilaku.
Hasil dari penelitian ini diharapkan menjadi bahan informasi dan masukan bagi para guru dan khususnya bagi orang tua peserta didik. Mudah-mudahan dapat bermanfaat bagi semua, baik peserta didik, orang tua, guru, dan lembaga pendidikan
The Node Selection Method for Split Attribute in C4.5 Algorithm Using the Coefficient of Determination Values for Multivariate Data Set
Full text linkThe split attribute in the decision tree algorithm, especially C4.5, has an important influence in producing a decision tree performance that has high predictive performance. This study aims to perform an attribute split in the C4.5 algorithm using the value of the termination coefficient (R2/R Square) which is combined with the aim of increasing the performance of the model performance produced by the C4.5 algorithm itself. The data used in this research are public datasets and private datasets. This study combines the C4.5 algorithm developed by Quinlan. The results in this study indicate that the use of the R2 value in the C4.5 algorithm has good performance in terms of accuracy and recall because three of the four datasets used have a higher value than the C4.5 algorithm without R2. Whereas in the aspect of precision, it has quite good performance because only two datasets have a higher value than the performance results of the algorithm without R2.
 
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
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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