1,721,002 research outputs found
Analisis Pengaruh Pendapatan Asli Daerah Terhadap Perkembangan Pembangunan dengan Belanja Modal Sebagai Variabel Pemoderasi di Provinsi Aceh,Sumatera Utara, Riau dan Sumatera Barat Tahun 2010-2017
Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis pengaruh pendapatan asli daerah terhadap perkembangan pembangunan dengan belanja modal sebagai varibel pemoderasi di Provinsi Aceh, Sumatera Utara, Riau dan Sumatera Barat.
Populasi penelitian ini adalah Provinsi Aceh, Sumatera Utara, Riau dan Sumatera Barat dengan tahun pengamatan 2010 hingga 2017. Sampel dipilih dengan menggunakan metode sampel jenuh.Data diolah menggunakan metode uji statistik regresi data panel.
Hasil penelitian ini membuktikan bahwa berdasarkan pajak daerah, retribusi daerah, hasil kekayaan daerah yang dipisahkan, lain-lain Pendapatan Asli Daerah yang sah secara simultan, berpengaruh terhadap variabel PDRB. Berdasarkan hasil pengujian moderasi dengan uji interaksi belanja modal mampu memoderasi pajak daerah terhadap variabel PDRB, belanja modal tidak mampu memoderasi retribusi daerah terhadap variabel PDRB. Belanja Modal tidak mampu dalam memoderasi hasil kekayaan daerah yang dipisahkan terhadap variabel PDRB. Belanja modal tidak mampu memoderasi lain-lain Pendapatan Asli Daerah yang sah terhadap variabel PDRB.96 HalamanTesis Magiste
Akuntansi Biaya
Buku Ajar mengenai Konsep Akuntansi Biaya, Akumulasi Biaya dan sistem informasi akuntansi, Metode perhitungan biaya Pesanan dan proses, perhitungan biaya produk sampingan dan gabungan serta pengendalian Biaya bahan, biaya pekerja dan Biaya Overhead Pabri
The Influence of Gross Profit Margin, Operating Profit Margin and Net Profit Margin on the Stock Price of Consumer Good Industry in the Indonesia Stock Exchange on 2012-2014
This study aims to analyze the effect on stock prices. Company profit information which includes gross profit margin, operating profit margin, and net profit margin are variables that are thought to affect the 2012-2014 stock prices. The unit of analysis used is the Consumer Good Industry Company. Testing of this research was carried out using the classic assumption test, which consisted of 3 basic assumptions, namely normality, multicollinearity, and heteroscedasticity. After that, a multiple linear regression test is performed to determine the regression equation that shows the relationship of the dependent variable that is determined by two or more independent variables. The F-test is carried out to find out whether the three independent variables together have a significant effect on the dependent variable. And the last t-test is used to see the significance of the influence of individual independent variables on the dependent variable by assuming other variables are constant. The results showed simultaneously a positive and significant influence from net profit margin, operating profit margin, and gross profit margin on stock prices in Good Consumer Industry Company listed on the Indonesia Stock Exchange, while partially net profit margin and gross profit margin were not there is a positive and insignificant influence on stock prices on Good Consumer Industry Company listed on the Indonesia Stock Exchange, while operating profit margin, partially there is a positive and significant effect on stock prices on Good Consumer Industry Company listed on the Indonesia Stock Exchange on 2012-2014
The Influence of Gross Profit Margin, Operating Profit Margin and Net Profit Margin on the Stock Price of Consumer Good Industry in the Indonesia Stock Exchange on 2012-2014
This study aims to analyze the effect on stock prices. Company profit information which includes gross profit margin, operating profit margin, and net profit margin are variables that are thought to affect the 2012-2014 stock prices. The unit of analysis used is the Consumer Good Industry Company. Testing of this research was carried out using the classic assumption test, which consisted of 3 basic assumptions, namely normality, multicollinearity, and heteroscedasticity. After that, a multiple linear regression test is performed to determine the regression equation that shows the relationship of the dependent variable that is determined by two or more independent variables. The F-test is carried out to find out whether the three independent variables together have a significant effect on the dependent variable. And the last t-test is used to see the significance of the influence of individual independent variables on the dependent variable by assuming other variables are constant. The results showed simultaneously a positive and significant influence from net profit margin, operating profit margin, and gross profit margin on stock prices in Good Consumer Industry Company listed on the Indonesia Stock Exchange, while partially net profit margin and gross profit margin were not there is a positive and insignificant influence on stock prices on Good Consumer Industry Company listed on the Indonesia Stock Exchange, while operating profit margin, partially there is a positive and significant effect on stock prices on Good Consumer Industry Company listed on the Indonesia Stock Exchange on 2012-2014
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
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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