1,720,984 research outputs found
Perancangan Media Pembelajaran Gerakan Semaphore Pramuka Berbasis Augmented Reality Dengan Marker Based Tracking
Scouting is an extracurricular activity that must be carried out in primary and secondary education which has been determined in Permendikbud number 63 the year 2014. The process of delivering scouting material is directly delivered by the coach using the media in the form of a scout pocket book. But in the current condition, students are asked to study independently. Then what makes it difficult for students to learn independently is when they practice the semaphore movement. Therefore, the author provides a solution for media that can be used as a medium for learning the scout semaphore movement. The developed media is an android application with Augmented Reality technology. The use of Augmented Reality-based media can help students learn independently in online learning conditions. The method used in the development of this media is the prototype method, this method consists of three stages, namely listening to customers, designing and making prototypes, and conducting trials. In designing the semaphore movement learning media, it was designed with 3D blender software, unity, vuforia sdk, adobe illustrator. Blender 3D software is used to create 3D semaphore motion objects, Unity is used to create augmented reality-based android applications, Vuforia is used as a marker database and Adobe Illustrator is used to design markers and display applications. The final result of this final project is an Augmented Reality-based learning media for scout semaphore movements. Keywords: Scouts, Android, Augmented Reality, Unity, Prototyp
Perbandingan Algoritma Backpropagation Dan Learning Vector Quantization (LVQ) dalam Pengenalan Pola Bangun Ruang Geometri
Penelitian ini bertujuan untuk memberikan rekomendasi dari hasil perbandingan antara metode jaringan syaraf tiruan menggunakan metode backpropagation dan learning vector quantization (LVQ) dalam melakukan pengenalan pola. Kedua metode ini sering digunakan untuk aplikasi pengenalan pola, karena kedua metode ini mampu mengelompokkan pola-pola ke dalam kelas-kelas pola dan termasuk kedalam metode pembelajaran terawasi (supervised learning). Dalam penelitian ini akan dibuktikan metode backpropagation dan LVQ mampu mengenali pola bentuk geometri bangun datar serta menunjukkan metode mana yang lebih baik dalam melakukan pengenalan pola. Implementasi metode backpropagation dan learning vector quantization (LVQ) menggunakan toolbox Matlab v8.5. Hal pertama yang dilakukan adalah melakukan proses pengolahan citra yaitu proses grayscalling dan thresholding untuk mendapatkan nilai binerisasi yang akan digunakan sebagai nilai input pada JST. Setelah itu nilai input akan diproses pada metode JST backpropagation dan learning vector quantization. Dari hasil implementasi pengujian kedua metode tersebut didapatkan bahwa algoritma backpropagation lebih baik dari learning vector quantization dalam pengenalan pola bangun datar geometri.Penelitian ini bertujuan untuk memberikan rekomendasi dari hasil perbandingan antara metode jaringan syaraf tiruan menggunakan metode backpropagation dan learning vector quantization (LVQ) dalam melakukan pengenalan pola. Kedua metode ini sering digunakan untuk aplikasi pengenalan pola, karena kedua metode ini mampu mengelompokkan pola-pola ke dalam kelas-kelas pola dan termasuk kedalam metode pembelajaran terawasi (supervised learning). Dalam penelitian ini akan dibuktikan metode backpropagation dan LVQ mampu mengenali pola bentuk geometri bangun datar serta menunjukkan metode mana yang lebih baik dalam melakukan pengenalan pola. Implementasi metode backpropagation dan learning vector quantization (LVQ) menggunakan toolbox Matlab v8.5. Hal pertama yang dilakukan adalah melakukan proses pengolahan citra yaitu proses grayscalling dan thresholding untuk mendapatkan nilai binerisasi yang akan digunakan sebagai nilai input pada JST. Setelah itu nilai input akan diproses pada metode JST backpropagation dan learning vector quantization. Dari hasil implementasi pengujian kedua metode tersebut didapatkan bahwa algoritma backpropagation lebih baik dari learning vector quantization dalam pengenalan pola bangun datar geometri
Clustering Data Pengunjung UPT Perpustakaan, Penerbitan dan Percetakan Universitas Negeri Padang Menggunakan Algoritma K-Means
UPT Perpustakaan, Penerbitan dan Percetakan Universitas Negeri Padang merupakan salah satu contoh perpustakaan di Universitas Negeri Padang yang merniliki banyak koleksi buku dan peminat pengunjung yang beragam, kelengkapan buku yang tersedia bagi pengunjung dan kenyamanan saat membaca serta pencarian buku sangat mempengaruhi jumlah pengunjung. Banyak pengguna fungsi pencarian yang dapat diakses untuk memahami informasi yang tersembunyi di dalam data tersebut. Atribut data yang akan digunakan adalah bulan kunjungan, fakultas, dan golongan koleksi yang dipinjam. Hasil dan pengolahan data pengunjung ini bertujuan untuk membantu pihak UPT Perpustakaan, Penerbitan dan Percetakan Universitas Negeri Padang agar memudahkan dalam proses perencanaan untuk meningkatkan mutu perpustakaan. Penggalian data diperlukan untuk mengekstrak informasi yang tersembunyi di dalam database yang ada. Data mining adalah proses interaktif dan fleksibel yang dapat digunakan untuk membuat model baru atau murni yang dapat divalidasi secara menyeluruh terhadap berbagai macam database. Algoritma K-Means dan aplikasi RapidMiner digunakan dalam teknik pengelompokan penelitian ini. Dengan menerapkan algoritma k-means pada proses klasterisasi data UPT Perpustakaan, Penerbitan, dan Percetakan Universitas Negeri Padang, maka dapat diidentifikasi dan ditentukan jumlah cluster yang sesuai serta parameter-parameternya berdasarkan karakteristik masing-masing cluster. Dari penelitian dihasilkan 3 cluster yang diantaranya untuk cluster pertama (C1) pada kedelapan fakultas dan dari bulan januari 2022 hingga desember 2022, pengunjung banyak meminjam koleksi golongan 0 (Karya Umum) dan 100 (Filsafat dan Psikologi). Cluster kedua (C2) pada kedelapan fakultas dan dari bulan januari 2022 hingga desember 2022, pengunjung banyak meminjam koleksi golongan 800 (Kesusatraan) , 900 (Sejarah, Geografi) , dan FIC (Karya Fiksi). Antara Januari 2022 dan Desember 2022, pengunjung klaster ketiga (C3) dari delapan fakultas meminjam banyak koleksi dalam kategori 500 (Sains dan Matematika), 600 (Teknologi dan Ilmu Terapan), dan 700 (Seni, Hiburan, dan Olahraga). Serta untuk cluster keempat (C4) pada kedelapan fakultas dan dari bulan januari 2022 hingga desember 2022, pengunjung banyak meminjam koleksi golongan 200 (Agama), 300 (Ilmu Sosial), dan 400 (Bahasa)
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
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
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