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    Faktor yang mempengaruhi kinerja Mesin Diesel Generator Di kapal MT. Sanga Sanga Sebuah Pendekatan Dengan Metode SPSS

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    ABSTRACT A diesel engine is an energy converter that converts chemically bound fuel energy into mechanical energy (effective work) by supplying heat. This type of research is quantitative using the SWOT method and SPSS test. This research aims to see the effect of maintenance, spare parts and fuel on diesel engine performance. In the SPSS method, researchers used a questionnaire with 73 cadets as a way of collecting data, and carried out a multiple linear regression test using SPSS. The population in this study was 83 semester VIII PIP Semarang cadets and a sample of 73 semester VIII PIP Semarang cadets was obtained. The results of this research are coefficient of determination tests carried out on all factors X1, X2 and so that there is an influence of maintenance (X1), spare parts (X2), and fuel (X3) on the performance of the Diesel Generator Engine (Y), indicating that Ha is accepted and Ho is rejected

    “STRATEGI OPTIMALISASI KINERJA MESIN DIESEL GENERATOR NO.2 DI KAPAL MT. SANGA SANGA : SEBUAH PENDEKATAN DENGAN METODE SWOT & SPSS”

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    ABSTRAKSI Wasugai, Maximus Wagner, 2024, NIT. 561911237337 T, “Strategi Optimalisasi Kinerja Mesin Diesel Generator No. 2 di Kapal MT Sanga Sanga : Sebuah Pendekatan Dengan Metode Swot & Spss”, Skripsi, Program Diploma IV, Program Studi Teknika, Politeknik Ilmu Pelayaran Semarang, Pembimbing I : Dr. A Agus Tjahjono, M.M., M.Mar.E., Pembimbing II : Kresno Yuntoro, S. St, M. Si Kinerja mesin diesel generator sering menurun pada saat di operasikan, hal ini disebabkan oleh pemilihan bahan bakar yang tidak sesuai sehingga mempengaruhi kinerja mesin diesel tidak berjalan secara optimal. Jenis penelitian ini adalah kuantitatif dengan memanfaatkan metode SWOT dan uji SPSS, penelitian ini bertujuan untuk menganalisis permasalahan dan menentukan solusi terkait dengan ketidakoptimalan pada mesin diesel generator No. 2 di Kapal MT Sanga Sanga. Dalam metode SWOT peneliti memanfaatkan kuisioner dengan responden sebanyak 73 taruna sebagai cara pengumpulan data, dan dilakukan uji regresi linier berganda dengan menggunakan SPSS. Hasil pada penelitian ini menunjukkan bahwa : 1) penyebab dari ketidakoptimalan mesin diesel generator terjadi karena injector yang tersumbat kotoran, filter kotor yang dapat menghambat suplai bahan bakar ke injector, pemilihan bahan bakar yang tidak sesuai, serta keterlambatan spare part. Solusi yang diberikan agar mesin diesel generator bekerja optimal adalah dengan melakukan perawatan terhadap mesin diesel generator sesuai buku panduan, melakukan pembersihan atau pergantian terhadap komponen yang sudah melebihi jam kerja, melakukan pengecekan terhadap bahan bakar dengan baik agar tidak menghambat proses pembakaran pada Mesin Diesel Generator. 2) pengambilan keputusan metode SWOT memberikan solusi dengan melaksanakan perwatan dan pengecekan terhadap komponen mesin diesel generator secara teratur, membuat team work yang baik, menyediakan spare part. 3) Berdasarkan hasil uji koefisien determinasi pada SPSS, semua faktor X1, X2 dan X3 dengan faktor Y telah memperoleh hasil sebanyak 0,50 atau 50% menunjukkan ketiga variabel tersebut memiliki pengaruh terhadap kinerja mesin diesel generator (Y), maka Ha diterima dan Ho ditolak

    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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
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