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ANALISIS TINGKAT KESEHATAN BANK DENGAN METODE RGEC (RISK PROFILE, GOOD CORPORATE GOVERNANCE, EARNING, CAPITAL) PADA PT BANK MANDIRI (PERSERO) Tbk PERIODE 2015-2018
Get PDFABSTRAKDunia perbankan begitu penting dalam masyarakat maupun dalam memajukan perekonomian suatu Negara. Kemajuan suatu bank di suatu Negara dapat dijadikan ukuran kemajuan Negara yang bersangkutan, semakin maju suatu Negara maka semakin besar peranan perbankan dalam mengendalikan Negara tersebut, yang artinya keberadaan dunia perbankan semakin di butuhkan pemerintah dan masyarakat. Menyadari pentingnya peranan bank, maka kesehatan bank harus terjaga karena bank mengelola dana masyarakat yang dipercayakan kepada bank. Berdasarkan Peraturan Bank Indonesia No. 13/1/PBI/2011 tentang Penilaian Tingkat Kesahatan Bank Umum dengan Risk-Profile, Good Corporate Governance (GCG), Earnings, dan Capital yang selanjutnya disebut dengan metode RGEC. Penelitian ini bertujuan untuk mengetahui penilaian tingkat kesehatan Bank Mandiri Periode 2015-2018 dilihat dari factor Risk-Profile, Good Corporate Governance (GCG), Earnings, dan Capital. Dalam penelitian ini penilaian pada factor Risk-Profile dilihat dari risiko kredit diukur dengan rasio NPL dan risiko likuiditas diukur dengan rasio LDR, factor Good Corporate Governance (GCG) diukur dengan penilaian self assessment bank, factor Earning diukur dengan rasio ROA, dan factor Capital diukur dengan rasio CAR. Hasil penelitian yang telah dilakukan menunjukan Bank Mandiri selama periode 2015-2018 pada factor Risk Profile dengan rasio NPL mendapatkan predikat Sehat, dengan rasio LDR mendapatkan predikat Cukup Sehat, pada factor GCG mendapatkan predikat Sangat Baik, pada factor Earnings mendapatkan predikat Sangat Sehat, dan factor Capital mendapatkan predikat Sangat Sehat.Kata Kunci: profil risiko, GCG, Rentabilitas, Permodalan, Kesehatan Ban
ANALISIS TINGKAT KESEHATAN BANK DENGAN METODE RGEC (RISK PROFILE, GOOD CORPORATE GOVERNANCE, EARNING, CAPITAL) PADA PT. BANK MANDIRI (PERSERO) PERIODE 2015 - 2018
Get PDFABSTRAKDunia perbankan begitu penting dalam masyarakat maupun dalam memajukan perekonomian suatu Negara. Bank dijadikan sebagai tempat untuk melakukan berbagai transaksi yang berhubungan dengan keuangan seperti, tempat mengamnkan uang, melakukan investasi, pengiriman uang, melakukan pembayaran atau melakukan penagihan, Kasmir (2014:2). Menyadari pentingnya peranan bank, maka kesehatan bank harus terjaga karena bank mengelola dana masyarakat yang dipercayakan kepada bank. Berdasarkan Peraturan Bank Indonesia No. 13/1/PBI/2011 tentang Penilaian Tingkat Kesahatan Bank Umum dengan Risk-Profile, Good Corporate Governance (GCG), Earnings, dan Capital yang selanjutnya disebut dengan metode RGEC. Penelitian ini bertujuan untuk mengetahui penilaian tingkat kesehatan Bank Mandiri Periode 2015-2018 dilihat dari factor Risk-Profile, Good Corporate Governance (GCG), Earnings, dan Capital. Dalam penelitian ini penilaian pada factor Risk-Profile dilihat dari risiko kredit diukur dengan rasio NPL dan risiko likuiditas diukur dengan rasio LDR, factor Good Corporate Governance (GCG) diukur dengan penilaian self assessment bank, factor Earning diukur dengan rasio ROA, dan factor Capital diukur dengan rasio CAR. Hasil penelitian yang telah dilakukan menunjukan Bank Mandiri selama periode 2015-2018 pada factor Risk Profile dengan rasio NPL mendapatkan predikat Sehat, dengan rasio LDR mendapatkan predikat Cukup Sehat, pada factor GCG mendapatkan predikat Sangat Baik, pada factor Earnings mendapatkan predikat Sangat Sehat, dan factor Capital mendapatkan predikat Sangat Sehat. Kata Kunci: profil risiko, GCG, Rentabilitas, Permodalan, Kesehatan Bank ABSTRACTBanking is very important in society as well as in advancing the economy of a country. Banks are used as a place to carry out various financial-related transactions such as, a place to deposit money, make investments, send money, make payments or make collections, Kasmir (2014: 2).Recognizing the important role of banks, bank health must be maintained because banks manage public funds entrusted to banks. Based on Bank Indonesia Regulation No. 13/1 / PBI / 2011 concerning Evaluation of Commercial Bank Health Levels with Risk-Profile, Good Corporate Governance (GCG), Earnings, and Capital , hereinafter referred to as the RGEC method. This study aims to determine the level of soundness of Bank Mandiri for the period of 2015-2018 seen from thefactors Risk-Profile, Good Corporate Governance (GCG), Earnings, and Capital. In this study the assessment on factors Risk-Profile views of credit risk is measured by the ratio of NPL and liquidity risk is measured by the LDR, factor Good Corporate Governance (GCG) was measured with the assessment of self-assessment of banks, the factor Earning measured by ROA, and factors Capital is measured with a CAR ratio. The results of research that have been done show that Bank Mandiri during the 2015-2018 period on thefactor Risk Profile with the NPL ratio received the title of Healthy, with the LDR ratio getting the Pretty Healthy predicate, the GCG factor received the Very Good predicate, thefactor Earnings earned the Very Healthy predicate, and the factor Capital gets the title of Very Healthy. Keywords: risk profile, GCG, Profitability, Capital, Bank Healt
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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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