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    PENGARUH MOTIVASI KERJA DAN KOMPETENSI TERHADAP KINERJA KARYAWAN PADA BANK JABAR BANTEN CABANG KARAWANG

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    Tujuan penelitian ini untuk memecahkan masalah belum maksimalnya tingkat kinerja karyawan Bank Jabar Banten Cabang Karawang melalui pengujian teori yang menyatakan adanya pengaruh motivasi kerja terhadap kinerja dan adanya pengaruh kompetensi terhadap kinerja. Penelitian ini terdiri dari 3 variabel, yaitu Motivasi Kerja (X1) dengan Dimensi Tanggung Jawab, Tugas dan Target, Tujuan Menantang, Umpan Balik, dan Rasa Senang; Kompetensi (X2) dengan dimensi Pengetahuan (Knowlegde), Pemahaman (Understanding), Nilai (Value) Kemampuan (Skill), Sikap (attitude), dan Minat (interest); dan Kinerja Karyawan (Y) dengan dengan dimensi Kualitas, Kuantitas, Ketetapan Waktu, Efektivitas, dan Kemandirian. Metode penelitian yang digunakan adalah metode survei eksplanatory. Teknik pengumpulan data dilakukan dengan cara menyebarkan angket kepada 53 karyawan sebagai responden. Teknik analisis data dan pengujian hipotesis menggunakan analisis regresi ganda dengan aplikasi IBM SPSS 24. Hasil penelitian menyimpulkan bahwa terdapat pengaruh positif tingkat motivasi kerja terhadap tingkat kinerja karyawan. Terdapat pengaruh postif tingkat kompetensi terhadap tingkat kinerja karyawan. Terdapat pengaruh secara simultan tingkat motivasi dan kompetensi terhadap kinerja karyawan. Kata Kunci : Motivasi Kerja, Kompetensi dan Kinerja Karyawan “EFFECT OF WORK MOTIVATION AND COMPETENCE ON EMPLOYEE PERFORMANCE AT BANK JABAR BANTEN KARAWANG BRANCH. ANGGUN PERTIWI, 1707650, UNIVERSITY OF EDUCATION INDONESIA. 2021 ABSTRACT The purpose of this study is to solve the problem that the level of employee performance of Bank Jabar Banten Karawang Branch has not been maximized through theoretical testing which states that there is an influence of work motivation on performance and the influence of competence on performance. This study consists of 3 variables, namely Work Motivation (X1) with the Dimensions of Responsibility, Tasks and Targets, Challenging Goals, Feedback, and Pleasure; Competence (X2) with dimensions of Knowledge (Knowlegde), Understanding (Understanding), Value (Value) Ability (Skill), Attitude (attitude), and Interest (interest); and Employee Performance (Y) with the dimensions of Quality, Quantity, Timeliness, Effectiveness, and Independence. The research method used is an explanatory survey method. Data collection techniques were carried out by distributing questionnaires to 53 employees as respondents. The data analysis technique and hypothesis testing used multiple regression analysis with IBM SPSS 24 application. The results of the study concluded that there was a positive influence on the level of work motivation on the level of employee performance. There is a positive effect of the level of competence on the level of employee performance. There is a simultaneous influence of the level of motivation and competence on employee performance. Keywords: Work Motivation, Competence and Employee Performanc

    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

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