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Buku Ajar Pengantar Sistem Informasi ini disusun sebagai buku panduan komprehensif yang menjelajahi kompleksitas dan mendalamnya tentang ilmu sistem informasi. Buku ini dapat digunakan oleh pendidik dalam melaksanakan kegiatan pembelajaran di bidang sistem informasi dan diberbagai bidang Ilmu terkait lainnya. Buku ini dapat digunakan sebagai panduan dan referensi mengajar mata kuliah pengantar sistem informasi dan menyesuaikan dengan Rencana Pembelajaran Semester tingkat Perguruan Tinggi masing-masing. Secara garis besar, buku ajar ini pembahasannya mulai dari konsep dasar sistem, perbedaan data, informasi dan juga pengetahuan, konsep dasar sistem informasi secara umum, sistem informasi manajemen, data werehouse, metode pengembangan sistem informasi, konsep dasar data base serta materi penting lainnya seperti konsep database manajemen dan komunikasi data. Buku ajar ini disusun secara sistematis, ditulis dengan bahasa yang jelas dan mudah dipahami, dan dapat digunakan dalam kegiatan pembelajaran.
The 4th International Conference on Vocational Education and Technology is an international forum specially designed by the Faculty of Engineering and Vocational, Universitas Pendidikan Ganesha to bring together academics, researchers and professionals to present their ideas and experiences in a scientific event. IConVET 2021 welcomes paper submissions for innovative work from researchers from diverse backgrounds including students, teachers, researchers, practitioners and the general public in Education, Vocational and Technology. The IConVET-2021 theme is "Digital Transformation on TVET in The New Normal Era”. This 4th International Conference on Vocational and Technology is attended by ...
This book constitutes the refereed proceedings of the Second International Conference on Augmented and Virtual Reality, AVR 2015, held in Lecce, Italy, in September 2015. The 32 papers and 8 short papers presented were carefully reviewed and selected from 82 submissions. The SALENTO AVR 2015 conference brings together a community of researchers from academia and industry, computer scientists, engineers, and physicians in order to share points of views, knowledge, experiences, and scientific and technical results related to state-of-the-art solutions and technologies on virtual and augmented reality applications for medicine, cultural heritage, education, industrial sectors, as well as the demonstration of advanced products and technologies.
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to te...
Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their c...
This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in nat...
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
Still the Best Delphi Resource A Fully Revised Version of the Book That Won the Delphi Informant Readers Choice Award If you're looking to capitalize on the powerful capabilities of the latest release of Delphi, Mastering Delphi 6 is the one resource you can't do without. Practical, tutorial-based coverage helps you develop key skills, solve tough problems, and build and implement sophisticated functionality in your database, client/server, and Internet applications. The special insights of Delphi expert Marco Cantu you an extra advantage as you complete successful projects and progress towards Delphi mastery. Coverage includes: Getting to know the new run-time library (RTL) Learning to use ...
This book present the fundamental numerical techniques used in engineering, applied mathematics, computer science, and the physical and life sciences in a manner that is both interesting and understandable. Numerical Analysis with Applications and Algorithms includes comprehensive coverage of solving nonlinear equations of a single variable, numerical linear algebra, nonlinear functions of several variables, numerical methods for data interpolations and approximation, numerical differentiation and integration, and numerical techniques for solving differential equations. This book is useful as a reference for self study.