1,721,093 research outputs found
PENERAPAN K-OPTIMAL PADA ALGORITMA MODIFIED K–NEAREST NEIGHBOR (MK-NN) UNTUK KLASIFIKASI KELULUSAN MAHASISWA (STUDI KASUS : TEKNIK INFORMATIKA UIN SUSKA RIAU)
Full text linkMELDAWATI PUTRI (2021) : PENERAPAN K-OPTIMAL PADA ALGORITMA
MODIFIED K–NEAREST NEIGHBOR (MK-NN)
UNTUK KLASIFIKASI KELULUSAN MAHASISWA
(STUDI KASUS : TEKNIK INFORMATIKA UIN SUSKA RIAU)
Kelulusan mahasiswa dapat menimbulkan masalah yang begitu serius terhadap kualitas
penyelenggaraan proses pembelajaran pada sebuah program studi, salah satu ancaman
bagi pihak program studi adalah masih banyak mahasiswa yang memperoleh kelulusan
tidak tepat waktu. Kelulusan tidak tepat waktu pada jurusan Teknik Informatika
Universitas Islam Negeri Sultan Syarif Kasim Riau memperoleh 86% dari angkatan 2011
sampai 2015 bahkan bisa lebih jika tidak ada penanganan serius. Diperlukan klasifikasi
untuk melihat ketepatan hasil kelulusan mahasiswa menggunakan penerapan K-Optimal
dengan dibangunnya sebuah sistem untuk algoritma Modified K–Nearest Neighbor (MKNN). setiap nilai K yang dihasilkan dengan akurasi terbaik akan disimpan dan digunakan
pada sebuah parameter nilai K pada proses prediksi data uji pada algoritma Modified K–
Nearest Neighbor (MK-NN) serta atribut yang digunakan yaitu Indeks Prestasi Semester
(IP 1-4), Satuan Kredit Semester Tempuh (SKS Tempuh 1-4), Indeks Prestasi Kumultif
(IPK) serta keterangan lulus tepat waktu atau lulus tidak tepat waktu pada data mahasiswa
angkatan 2011 sampai 2015. Hasil akurasi K-Optimal terbaik terdapat pada K=1 pada
percobaan ke-8 dengan hasil nilai akurasi sebesar 88.22682% dan nilai akurasi pada
algoritma Modified K–Nearest Neighbor (MK-NN) menghasilkan ketepatan untuk
kurikulum 2011 sebanyak 62 dari 63 data dengan akurasi sebesar 96.83%, sedangkan
kurikulum 2015 menghasilkan ketepatan sebanyak 3 dari 3 data dengan nilai akurasi
sebesar 100%.
Kata kunci : Kelulusan Mahasiswa, K-Fold Cross Validation , Klasifikasi, MK-N
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
PENGARUH FREKUENSI BERMAIN GAME ONLINE TERHADAP MOTIVASI DAN KEBIASAAN BELAJAR BIOLOGI PADA SISWA SMA
Full text linkABSTRAK
PENGARUH FREKUENSI BERMAIN GAME ONLINE
TERHADAP MOTIVASI DAN KEBIASAAN BELAJAR
BIOLOGI PADA SISWA SMA
Oleh
Meldawati
Dunia saat ini telah berkembang sejalan dengan teknologi yang
beragam menjadikan pengendalian dalam sektor pendidikan
menjadi hal yang penting guna meningkatkan motivasi dan
kebiasaan belajar siswa di sekolah menengah atas. Permasalahan
yang sering ditemukan dalam lingkungan saat ini adalah kurangnya
pemahaman dan banyaknya penggunaan game online, disamping
itu peran guru dan orang tua menjadi point penting untuk tetap
memberikan kestabilan dalam pembelajaran anak. Penelitian yang
telah dilakukan ini berfokus pada frekuensi bermain game online
terhadap motivasi dan kebiasaan belajar biologi pada siswa SMA
Negeri 16 Bandar Lampung. Design penelitian yang digunakan
adalah kuantitatif dengan design korelasional yang mana peneliti
menggunakan instrument angket, wawancara, observasi dan
dokumentasi untuk mendukung dan mengumpulkan data
penelitian. Dari hasil penelitian menunjukan bahwa terdapat
hubungan frekuensi bermain game online terhadap motivasi dan
kebiasaan belajar biologi siswa SMA Negeri 16 Bandar Lampung
dengan hasil uji residual sebesar Sig. (ρvalue) < 0.005 sebesar 0.000
dengan nilai hubungan sebesar 333.3 sehingga dapat dikategorikan
bahwa terdapat pengaruh antara frekuensi bermain game online
dengan motivasi dan kebiasaan belajar siswa.
Kata kunci : Frekuensi bermain game online, kebiasaan belajar,
motivasi belajar
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
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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