1,720,957 research outputs found
EFEKTIFITAS MEDIA E-LEARNING PADA MATA KULIAH SISTEM PEMINDAH TENAGA DI JURUSAN PENDIDIKAN TEKNIK OTOMOTIF FAKULTAS TEKNIK UNIVERSITAS NEGERI MAKASSAR
ABSTRAK
Akramullah. 1323042003. Efektifitas Media E-Learning pada Mata Kuliah
Sistem Pemindah Tenaga di Jurusan Pendidikan Teknik Otomotif Fakultas
Teknik Universitas Negeri Makassar. Pendidikan Teknik Otomotif. Fakultas
Teknik Universitas Negeri Makassar, 2019, Pembimbing: Syafiuddin P dan
Zulhaji.
Penelitian quasi eksperimen ini bertujuan untuk: (1) mengetahui pengaruh
penggunaan media E-learning terhadap hasil belajar sistem pemindah tenaga di
Jurusan Pendidikan Teknik Otomotif Fakultas Teknik Universitas Negeri
Makassar, (2) mengetahui efektifitas media e-learning terhadap hasil belajar
pemindah tenaga mahasiswa Pendidikan Teknik Otomotif Angkatan 2016
Universitas Negeri Makassar. Populasi adalah mahasiswa Pendidikan Teknik
Otomotif Fakultas Teknik Universitas Negeri Makassar sedangkan sampel adalah
mahasiswa angkatan 2016 pada mata kuliah sistem pemindah tenaga. instrumen
pengumpulan data dilakukan dengan cara dokumentasi dan tes. Data penelitian
yang terkumpul dianalisis dengan menggunakan teknik analisis statistik deskriptif
dan analisis statistik inferensial yaitu menggunakan uji analisis statistik
nonparametrik dengan Mann-Whitney U. Berdasarkan analisis data, diperoleh
hasil penelitian: (1) ada pengaruh penggunaan media E-learning terhadap hasil
belajar sistem pemindah tenaga mahasiwa jurusan Pendidikan Teknik Otomotif
Fakultas Teknik Universitas Negeri Makassar dengan nilai signifikansi U-T
sig.(2-tailed) adalah sebesar 0,01 dan nilai alfa 0,05 (df = 5%), (2) Model
Pembelajaran Media E-Learning pada Mata Kuliah Sistem Pemindah Tenaga di
Jurusan Pendidikan Teknik Otomotif Fakultas Teknik Universitas Negeri
Makassar angkatan 2016 efektif untuk meningkatkan hasil belajar mahasiswa
dengan score 0.6292 berada pada kategori N-Gain-sedang dengan nilai 0,7 > (g)
≥ 0,3.
Kata Kunci : media E-Learning dan hasil belajar mahasisw
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
Optimalisasi Karya Tulis Ilmiah Melalui Pelatihan Penggunan AI pada Guru Madrasah
This community service program aims to improve the scientific writing skills of madrasah teachers through training in the use of Artificial Intelligence (AI) technology. The background of this activity is the low quality of teacher assistance for students participating in the Madrasah Young Researchers Supercamp (MYRES), mainly due to limited understanding of scientific writing and AI technology. The training was conducted at MTsN 2 Jombang using pedagogical and andragogical approaches, with materials covering the structure of research proposals and reports using ChatGPT, Grammarly, and Mendeley. The results showed a significant improvement in teachers’ ability to draft research proposals and reports, provide strong arguments, present findings, and utilize AI tools in academic activities. Despite challenges such as time constraints and limited facilities, the training remained effective. This program has positively contributed to fostering a research culture and technological literacy within the madrasah environment, and has prepared teachers to guide students for the upcoming MYRES 2025
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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