1,720,959 research outputs found
Penerapan Metode Prototype dalam Pengembangan Sistem Informasi Inventory Barang Berbasis Web
An inventory information system is a system used to determine the stock of goods in a place or company. CV. Multikom is a company that operates in the field of computer equipment. In this company there are problems that occur in the current system, namely the processing of incoming and outgoing goods data, goods delivery data, and customer data that has not been integrated, as well as travel document data collection which is done only on a piece of paper and then copied to the computer by the warehouse admin, so that those who experience difficulties with the goods, the information provided is in accordance with the existing goods. The aim of this research is to design a Goods Inventory Information System to make it easier to collect data on incoming and outgoing goods, stock of goods, customer data, shipping, order transactions using the Prototype method and using Data Flow Diagrams (DFD) for structured modeling
Pelatihan Pembuatan Aplikasi Komputer Sederhana Untuk Menunjang Uji Kompetensi Keahlian (UKK) di SMK Negeri 3 Kota Lubuklinggau
Uji Kompetensi Keahlian (UKK) merupakan bagian dari upaya pemerintah untuk memastikan kualitas pendidikan di Sekolah Menengah Kejuruan (SMK). Tujuan dari UKK adalah untuk mengukur kompetensi siswa pada level tertentu yang sesuai dengan kompetensi keahlian yang dipelajari selama masa pembelajaran di SMK. UKK merupakan salah satu indikator kelulusan bagi siswa SMK. Kegiatan ini dilakukan di SMA Negeri 3 Kota Lubuklinggau. Pelatihan ini diikuti oleh 28 siswa jurusan Rekayasa Perangkat Lunak. Pengabdian dilakukan melalui metode pelatihan, peserta menerima pemahaman mengenai pembuatan aplikasi kalkulator dengan menggunakan bahasa pemrograman PHP. Kemudian, peserta melakukan praktik berdasarkan materi yang telah disampaikan. Evaluasi pada pelatihan ini yaitu peserta melakukan pemaparan terhadap aplikasi yang telah dibuat. Selanjutnya, tim PkM akan memberikan penilaian dan saran terhadap aplikasi tersebut. Upaya ini bertujuan untuk mempersiapkan dan mengukur kemampuan peserta sebelum menghadapi Uji Kompetensi Keahlian
Job Shop Scheduling Problem menggunakan Ant Colony Optimization dan Algoritme Genetika
Problem (JSSP) is a problem to determine the sequence of operations carried out on existing machines with the aim of minimizing the total processing time required. The development of optimization methods to achieve solutions to machine operation sequence problems has encouraged the emergence of many new solution methods. This research wants to compare two solution methods using Ant Colony Optimization (ACO) and Genetic Algorithms. The two methods are compared to find out which optimization is best used to solve the JSSP problem. The results of this research show that the ACO algorithm is better with mean squared error of 72.99%, compared to the Genetic Algorithm with mean squared error of 11.71%
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
Klasifikasi Tingkat Kematangan Buah Tomat Berdasarkan Fitur Warna Menggunakan K-Nearest Neighhbor
Pada proses klasifikasi buah tomat dengan cara manual yaitu dengan menggunakan mata manusia merupakan hal yang sangat sulit dilakukan. Hal ini dibuktikan dengan tidak konsisten serta bersifat subyektif sehingga menyebabkan tingkat akurasi yang rendah. Oleh karena itu, untuk meningkatkan tingkat akurasi serta mengurangi sifat subyektifitas mata manusia, maka penelitian ini mengusulkan sebuah algoritma yang dapat digunakan untukk mengklasifikasi tingkat kematangan buah tomat yaitu dengan K-Nearest Neighbor berdasarkan kepada warna kulit yang ada pada buah tersebut. Nilai k yang digunakan pada penenlitian ini yaitu 1, 3, 5, 7, dan 9 untuk menguji coba pencarian jarak Euclidean distance pada citra dengan ukuran 512x512 piksel. Penelitian yang dilakukan membuktikan bahwa dengan jarak Euclidean k=3 memiliki nilai prosentase 92%. Berdasarkan tingkat akurasi yang dimiliki, fitur warna k=3 menunjukkan nilai k terbaik pada klasifikasi tingkat kematangan buah tomat
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
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