1,720,956 research outputs found
Pengaruh BOPO dan Net Operating Margin (NOM) Terhadap Return On Equity (ROE) pada PT. Bank Syariah Mandiri
Full text linkPenelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi
profitabilitas pada PT. Bank Syariah Mandiri. Penelitian ini menggunakan data
sekunder yang diperoleh dari website PT. Bank Syariah Mandiri. Analisis yang
digunakan bersifat kuantitatif dengan metode analisis regresi berganda data time
series dengan menggunakan SPSS 17.0 sebagai alat estimasi. Data penelitian
terdiri dari Return On Equity (ROE). Biaya Operasional terhadap Pendapatan
Operasional (BOPO) dan Net Operating Margin (NOM). Teknik analisis data
menggunakan regresi linier berganda. Uji Hipotesis, Uji t. Uji F dan Koefisien
determinasi. Hasil Uji Parsial (uji t) menunjukkan bahwa Biaya Operasional
terhadap Pendapatan Operasional (BOPO) (X1) tidak berpengaruh dan signifikan
terhadap Return On Equity (ROE) (Y) pada PT. Bank Syariah Mandiri dengan
menunjukkan nilai thitung (0,568) < ttabel (1,740). Net Operating Margin (NOM)
(X2) berpengaruh secara positif dan signifikan terhadap Return On Equity (ROE)
(Y) pada PT. Bank Syariah Mandiri dengan menunjukkan nilai thitung (3,101) >
ttabel (1,740). Serta hasil uji simultan (Uji F) menunjukkan terdapat pengaruh
BOPO dan Net Operating Margin (NOM) terhadap Return On Equity (ROE) pada
PT. Bank Syariah Mandiri dengan Fhitung sebesar (497,125) > Ftabel (3,59) dan nilai
sig < 0,05 (0,000 < 0,05). Nilai koefisien determinasi (R Square) sebesar 0,968
atau 96,8 %
Pengaruh Jumlah Penduduk, Proporsi Perempuan dan Pertumbuhan Ekonomi Terhadap Pengangguran di Provinsi Sumatera Utara
Full text linkThe study aims to analyze the impact of the population, the proportion of women, and economic growth on the unemployment rates in the province of North Sumatra during 2018–2021. The research data used secondary data from the Central Statistical Authority (BPS) of North Sumatra. The research method used the best model selection estimate test and processed the fixed-effect model (FEM), and the analysis technique used the regression analysis of panel data. The results show that the variable of the proportion of women has a negative influence on the number of dismissals. The results of this study can provide a basis for supporting policies that encourage women\u27s economic participation. This may involve efforts to improve access to education and training for women and create better employment opportunities, while the population and economic growth have no influence on the unemployment rate in the province of North Sumatra in 2018–2021. The research can make a positive contribution to addressing the unemployment problem in the Province of North Sumatra and fostering sustainable development
Determinants of Return on Equity in Sharia Bank in Indonesia
Full text linkThis study examines the influence of several financial indicators Firm Size, BOPO, NOM, DER, FDR, DPK, NPF, and CAR on Return on Equity (ROE) in Indonesian Sharia Banks from 2013 to 2022. Using a quantitative approach with secondary data sourced from the Financial Services Authority (FSA) and banks’ annual reports, the study employed panel data regression with model selection among Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The REM was identified as the most suitable model. The results reveal that NOM and DPK have a positive and significant impact on ROE, while BOPO, DER, and NPF negatively and significantly affect ROE. These findings offer insights into optimizing financial strategies in Islamic banking in Indonesi
Transformasi digital UMKM: Penguatan strategi pemasaran dan SDM untuk meningkatkan daya saing di era 5.0
Full text linkProgram Pengabdian kepada Masyarakat ini dilaksanakan di Kelurahan Tanjung Gading, Kabupaten Indragiri Hulu, yang memiliki karakteristik UMKM dengan tingkat literasi digital rendah dan keterbatasan pemanfaatan teknologi dalam pemasaran. Kesenjangan keterampilan digital tersebut menjadi dasar dirancangnya kegiatan “Transformasi Digital UMKM: Penguatan Strategi Pemasaran dan SDM untuk Meningkatkan Daya Saing di Era 5.0”. Sebanyak 32 pelaku UMKM mengikuti rangkaian kegiatan yang meliputi empat sesi pelatihan (digital marketing, marketplace, konten kreatif, dan aplikasi pembukuan) serta dua tahap pendampingan intensif. Evaluasi dilakukan melalui pre–post test, observasi terstruktur, dan penilaian output digital. Hasil kegiatan menunjukkan adanya peningkatan skor literasi digital sebesar 38%, dan 27 UMKM (84%) berhasil membuat atau mengoptimalkan akun marketplace. Selain itu, peserta menghasilkan total 96 konten promosi, dan 21 UMKM (66%) mulai menggunakan aplikasi pencatatan keuangan. Sebanyak 14 UMKM (44%) melaporkan peningkatan omzet awal dalam dua minggu setelah pendampingan. Nilai kebaruan program terletak pada integrasi pelatihan berbasis praktik langsung dengan pendampingan berbasis kebutuhan mitra yang diidentifikasi bersama, sehingga menghasilkan intervensi yang lebih aplikatif dan berorientasi pada keberlanjutan usaha. Temuan ini menunjukkan bahwa transformasi digital melalui pendekatan partisipatif dapat meningkatkan kapasitas pemasaran dan kesiapan UMKM untuk bersaing di era Society 5.0
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
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