196,382 research outputs found
STRATEGI PEMASARAN DALAM MENINGKATKAN DAYA SAING UMKM PENJUALAN PEMPEK KANDO DI JAKARTA MELALUI E-COMMERCE
Adanya persaingan yang ketat membuat perubahan preferensi konsumen yang lebih
memilih pembelian pempek secara online daripada secara langsung ke toko fisik.
Kemajuan tersebut dapat dilihat dari adopsi teknologi e-commerse yang
memungkinkan konsumen di luar kota untuk membeli pempek dari Palembang
secara online. Dengan adanya e-commerce usaha pempek dapat memanfaatkan
platfrom online untuk mempromosikan berbagai varian pempek, dan memfasilitasi
proses mereka dalam pembelian secara mudah dan cepat. Pempek kando menjual
pempek dalam bentuk frozen food yang mendistribusikan rangkaian menu pempek
di seluruh Indonesia. Penelitian ini dilakukan untuk meningkatkan daya saing
UMKM pempek Kando di Jakarta khususnya dalam volume penjualan dan promosi
pada produk pempek kando. Jenis penelitian yang digunakan dalam penelitian ini
adalah penelitian deskriptif dengan menggunakan metode studi kasus, jenis data
yang digunakan adalah data kualitatif dan data kuantitatif, sumber data
penelitiannya adalah sumber data primer dan sekunder, jumlah narasumber yang
dilibatnya yaitu 5 orang. Berdasarkan hasil penelitian di atas bahwa strategi yang
perlu dilakukan oleh Toko Pempek Kando dalam meningkatkan daya saing dan
penjualan produk-produknya yaitu dengan memaksimalkan tools iklan pada media
sosial seperti Instagram ads, Tiktok ads, SEO ataupun copywriting dalam
membangun komunikasi di media sosial, mengeluarkan budget lebih besar untuk
melakukan promosi di luar e-commerce Shopee, menciptakan value yang berbeda
dari pesaing lama seperti menjalin komunikasi dengan para pelanggan Pempek
Kando
Increasing Reproducibility in IR: Findings from the Dagstuhl Seminar on "Reproducibility of Data-Oriented Experiments in e-Science"
Image retrieval using multi-scale CNN features pooling
In this paper, we address the problem of image retrieval by learning images representation based on the activations of a Convolutional Neural Network. We present an end-to-end trainable network architecture that exploits a novel multi-scale local pooling based on NetVLAD and a triplet mining procedure based on samples difficulty to obtain an effective image representation. Extensive experiments show that our approach is able to reach state-of-the-art results on three standard datasets
A Stream-Based Resource for Multi-Dimensional Evaluation of Recommender Algorithms
Recommender System research has evolved to focus on developing algorithms capable of high performance in online systems. This development calls for a new evaluation infrastructure that supports multi-dimensional evaluation of recommender systems. Today's researchers should analyze algorithms with respect to a variety of aspects including predictive performance and scalability. Researchers need to subject algorithms to realistic conditions in online A/B tests. We introduce two resources supporting such evaluation methodologies: the new data set of stream recommendation interactions released for CLEF NewsREEL 2017, and the new Open Recommendation Platform (ORP). The data set allows researchers to study a stream recommendation problem closely by "replaying" it locally, and ORP makes it possible to take this evaluation "live" in a living lab scenario. Specifically, ORP allows researchers to deploy their algorithms in a live stream to carry out A/B tests. To our knowledge, NewsREEL is the first online news recommender system resource to be put at the disposal of the research community. In order to encourage others to develop comparable resources for a wide range of domains, we present a list of practical lessons learned in the development of the dataset and ORP
Dr. Duane M. Jackson, Morehouse College, July 2011
This video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
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
Dr. Glendon Swarthout
Hosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
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