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Pengalaman Melembagakan Inovasi
No full textSaat ini, dengan pengalaman produk pertama mereka telah berhasil membawa produk-produk lainnya membanjiri pasar nasional (dan segera berangkat ke pasar internasional). Cerita keberhasilan UGM adalah cerita keberhasilan kerja sama perguruan tinggi dan industri yang didukung penuh oleh pemerintah. Pemerintah tanpa kenal lelah telah menjadi perekat, katalisator, dan pembuat regulasi yang bijak untuk mengangkat karya-karya anak bangsa. Kemudian tiga serangkai itu pun meretas persoalan adopsi pasar bersama-sama, menyediakan peta jalan yang baik untuk mengembangkan peningkatan keberterimaan pasar atas produk-produk karya peneliti Indonesia, hingga menyediakan standar nasionalnya yang siap dirintis untuk menjadi standar internasional
Systems Analysis and Design: An Object-Oriented Approach with UML, 5/E
No full textSystems Analysis and Design: An Object-Oriented Approach with UML, 5th Edition by Dennis, Wixom, and Tegarden captures the dynamic aspects of the field by keeping students focused on doing SAD while presenting the core set of skills that every systems analyst needs to know today and in the future.
The text enables students to do SAD?not just read about it, but understand the issues so they can actually analyze and design systems. The text introduces each major technique, explains what it is, explains how to do it, presents an example, and provides opportunities for students to practice before they do it for real in a project. After reading each chapter, the student will be able to perform that step in the system development process
Corporate Social Responsibility and Corporate Governance: The Contribution of Economic Theory and Related Disciplines
No full textCorporate social responsibility is examined in this book as multi-stakeholder approach to corporate governance. This volume outlines neo-institutional and stakeholder theories of the firm, new rational choice and social contract normative models, self regulatory and soft law models, and the advances from behavioural economics
The Disappearing Product : Marketing and Markets in The Creative Industries
No full textThe Disappearing Product combines analysis of developments in the creative economy with practical guidance for marketing in the creative industries. Using theoretical models and extensive practical examples, this book challenges cultural producers to reclaim their place in the creative economy.
Marketing is situated in the context of social, cultural and technological change that has revolutionised the creative and media industries. Traditional broadcasters, publishers and record labels have been displaced by a new generation of intermediaries including Amazon, Apple, Facebook and Google. These new intermediaries are marginalising cultural producers, devaluing products and monopolising consumer attention. Bilton\u27s analysis focuses on how the creative industries must respond to these structural changes with new, innovative marketing methods for cultural products
Business Essentials, 11/E
No full textThe recent events in domestic and global economies are presenting unprecedented challenges, excitement, and disappointments for business?and a need for a change in Introduction to Business courses and texts. Business Essentials captures the widespread significance of these developments and presents their implications on businesses today. The Eleventh Edition includes new real-world examples and research findings, helping students to see how entrepreneurs are putting into practice the concepts that they are learning, and making this text the most current and relevant one available on the market today
Watermarking Citra Medis Menggunakan Metode DST-LWT dan SVD
No full textABSTRAK
Perkembangan teknologi informasi saat ini begitu pesat dikarenakan sangat memudahkan aktivitas manusia. Hal tersebut telah menyentuh berbagai aspek kehidupan termasuk dunia medis salah satunya Electronical health record (EHR). Salah satu fitur utama dari EHR adalah informasi kesehatan dapat dibuat dan dikelola oleh penyedia resmi dalam format digital yang dapat dibagikan dengan penyedia lain yang lebih dari satu organisasi kesehatan. Dikarenakan EHR dapat diakses lebih dari satu organisasi perawatan kesehatan diperlukan tanda yang melekat pada informasi kesehatan yang tidak bisa dihilangkan dan menjadi identitas rumah sakit pengirim. Dalam hal ini teknik watermarking dapat digunakan untuk menyisipkan identitas rumah sakit pengirim kedalam citra informasi yang dikirimkan.
Pada penelitian ini akan dilakukan watermarking dengan menggunakan metode Discrete Sine Transform (DST), Lifting Wavelet Transform (LWT) dan Single Value Decomposition (SVD). DST dan LWT akan memproses citra medis. Citra medis sebagai host akan disisipkan dengan citra watermark pada proses SVD. Pada skenario tertentu citra terwatermark akan diberi serangan untuk mengetahui ketahanan yang dihasilkan.
Hasil dari penelitian ini adalah sebuah citra medis yang sudah melalui proses watermarking menggunakan metode DST-LWT-SVD dan pengujian dengan menggunakan beberapa jenis serangan. Nilai dari parameter yang dicari adalah PSNR 54,3953 dB, SSIM 0,9737 MSE 0,658, dan BER 0,1696 pada kondisi tanpa ada serangan.
Kata kunci: Watermarking, Discrete Sine Transform, Lifting Wavelet Transform, Single Value Decompositio
Standar Profesional Akuntan Publik: Seri Penilaian Risiko dan Respons terhadap Risiko yang Dinilai
No full textHands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks
No full textMost programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models.
You\u27ll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you\u27ll explore CNN, recurrent neural network (RNN), and GAN models and their application.
By the end of this book, you\u27ll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in D