1,720,954 research outputs found
Perancangan dan Implementasi CipTools: Sistem Pendataan Internal Berbasis Web
No full textCustomer Improvement Program (CIP) merupakan sebuah proses yang dirancang untuk meningkatkan kualitas data pelanggan dan mengoptimalkan pengelolaannya melalui alur kerja yang terstruktur. Diagram alur proses ini terdiri dari lima tahapan utama, yaitu inisialisasi data pelanggan, validasi dan pembersihan data, survei lapangan, manajemen notifikasi, dan pelaporan. Tahapan awal melibatkan pengumpulan dan validasi awal data pelanggan oleh tim CIP Admin dan PIC Area, yang bertujuan memastikan kelengkapan dan akurasi data sebelum dilanjutkan ke proses berikutnya. Proses ini kemudian berlanjut ke validasi dan pembersihan data yang lebih mendalam, guna memastikan data yang digunakan memenuhi standar kualitas yang diinginkan.Survei lapangan menjadi tahapan penting untuk mendapatkan data tambahan atau klarifikasi yang dilakukan langsung oleh PIC Area. Informasi yang diperoleh dari survei ini menjadi dasar dalam manajemen notifikasi (alert management), di mana tim PIC Alert dan Area Sales Manager (ASM) mengambil tindakan terhadap peringatan atau peluang yang terdeteksi. Proses ini ditutup dengan pembuatan laporan oleh tim CIP Admin, yang menyajikan hasil akhir dari seluruh tahapan sebagai bahan evaluasi dan pengambilan keputusan.
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The Customer Improvement Program (CIP) is a process designed to improve the quality of customer data and optimize its management through a structured workflow. This process flow diagram consists of five main stages, namely customer data initialization, data validation and cleaning, field survey, notification management, and reporting. The initial stage involves the initial collection and validation of customer data by the CIP Admin and PIC Area teams, which aims to ensure the completeness and accuracy of the data before proceeding to the next process. This process then continues to more in-depth data validation and cleaning, to ensure the data used meets the desired quality standards.Field surveys are an important stage to obtain additional data or clarification carried out directly by the PIC Area. The information obtained from this survey becomes the basis for alert management, where the PIC Alert team and Area Sales Manager (ASM) take action on detected alerts or opportunities. This process closes with the creation of a report by the CIP Admin team, which presents the final results of all stages as material for evaluation and decision making
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Pendekatan Berbasis Jaringan Saraf dan Graf untuk Memahami Daya Tarik Visual Foto Makanan
Get PDFDi era digital, foto makanan telah menjadi elemen penting dalam pemasaran kuliner, terutama melalui media sosial. Namun, estetika foto makanan seringkali bersifat subjektif dan sulit dievaluasi secara otomatis. Tugas Akhir ini bertujuan untuk mengatasi masalah evaluasi estetika foto makanan dengan fokus pada pemahaman daya tarik visual secara keseluruhan. Metode Graph Convolutional Network (GCN) dan Graph Attention Network (GAT) diterapkan untuk menganalisis hubungan kompleks antar elemen visual dalam gambar. Metodologi Tugas Akhir mencakup ekstraksi fitur gambar menggunakan Convolutional Neural Network (CNN) yaitu InceptionResNet-V2, serta pemanfaatan fitur tambahan berupa layout dan layout. Seluruh fitur tersebut direpresentasikan dalam bentuk graf, kemudian diolah menggunakan model GCN untuk proses klasifikasi. Evaluasi model dilakukan menggunakan metrik seperti akurasi, precision, recall, dan F1-score. Dataset yang digunakan berasal dari Gourmet Photography Dataset (GPD) yang terdiri dari 24.000 gambar makanan. Hasil percobaan menunjukkan bahwa proporsi data latih 90% dan data uji 10% secara keseluruhan memberikan performa yang lebih unggul. Dari hasil ablasi fitur, diketahui bahwa kombinasi fitur CNN dengan layout memberikan performa terbaik, baik pada model GCN maupun GAT. Secara keseluruhan, model GAT menunjukkan hasil yang lebih baik dibandingkan GCN, dengan nilai akurasi sebesar 0,9075, precision 0,9388, recall 0,8886, dan F1-score sebesar 0,913. Temuan ini memperkuat bahwa fitur tekstur dari CNN berpengaruh besar dalam penilaian estetika, sementara fitur tambahan seperti layout dan color moments berfungsi sebagai pelengkap yang membantu meningkatkan performa model. Pendekatan ini menunjukkan bahwa integrasi antara jaringan saraf dan struktur graf dapat digunakan untuk menilai daya tarik visual gambar secara lebih objektif, terukur, dan sistematis.
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In the digital era, food photography has become an important element in culinary marketing, especially through social media. However, the aesthetics of food photography are often subjective and difficult to evaluate automatically. This final project aims to address the problem of aesthetic evaluation of food photography by focusing on understanding the overall visual appeal. Graph Convolutional Network (GCN) and Graph Attention Network (GAT) methods are applied to analyze the complex relationships between visual elements in the image. The final project methodology includes image feature extraction using a Convolutional Neural Network (CNN), namely InceptionResNetV2, as well as the utilization of additional features in the form of layout and color moments. All these features are represented in graph form, then processed using a GCN model for the classification process. Model evaluation is carried out using metrics such as accuracy, precision, recall, and F1-score. The dataset used comes from the Gourmet Photography Dataset (GPD) which consists of 24,000 food images. The experimental results show that the proportion of 90% training data and 10% test data overall provides superior performance. From the feature ablation results, it is known that the combination of CNN features with layout provides the best performance, both in the GCN and GAT models. Overall, the GAT model shows better results than GCN, with an accuracy value of 0.9075, a precision of 0.9388, a recall of 0.8886, and an F1-score of 0.913. These findings confirm that texture features from CNN have a significant influence on aesthetic assessment, while additional features such as layout and color moments function as complements that help improve model performance. This approach shows that the integration between neural networks and graph structures can be used to assess the visual appeal of images in a more objective, measurable, and systematic manner
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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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