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ANALISIS RISIKO MENGGUNAKAN METODE VALUE AT RISK PADA BITCOIN DAN IHSG PERIODE 2017-2019
No full textPenelitian ini dilatarbelakangi dengan Bitcoin yang digunakan sebagai alat investasi alternatif, dan saham yang merupakan salah satu alat investasi yang populer di dunia investasi. Kedua investasi tersebut memiliki karakteristik pergerakan harga yang berfluktuatif tinggi. Dengan demikian, penelitian ini dimaksudkan untuk mengkaji berapa risiko yang dihadapi saat memilih investasi pada Bitcoin dan saham Indeks Harga Saham Gabungan (IHSG) menggunakan metode Value at Risk (VaR).
VaR merupakan alat ukur risiko yang mengestimasi kerugian pada suatu aset dengan tingkat kepercayaan tertentu dan pada periode tertentu. Metodologi penelitian yang digunakan pada penelitian ini, yaitu VaR dengan metode Varians-Kovarians dan melibatkan model GARCH untuk mengestimasi volatilitas. Data yang digunakan pada penelitian ini, yaitu data sekunder berupa data harga harian Bitcoin yang berasal dari coingecko.com dan IHSG yang berasal dari finance.yahoo.com. Periode penelitian yang dilakukan penelitian ini, yaitu dari 1 Januari 2017 sampai 31 Desember 2019. Hasil penelitian menunjukkan bahwa Bitcoin memiliki nilai risiko yang lebih tinggi dibandingkan dengan IHSG, yaitu sekitar lima kali lebih tinggi
Jejak-Jejak Peradaban Majapahit : Imperium Raksasa Penguasa Nusantara
No full textKemasyhuran Majapahit diakui dunia sebagai salah satu imperium raksa- sa yang pernah ada di Nusantara. Wilayahnya membentang dari Sumatera hingga Nusa Tenggara disebut sebagai cikal bakal Nusantara yang pertama. Majapahit menjadi imperium adidaya pada abad ke-13. Sebuah kerajaan Hindu-Buddha terakhir yang menguasai Nusantara dan diang- gap sebagai salah satu negara terbesar dalam sejarah Indonesia.
Buku ini menyajikan jejak-jejak sejarah keberadaan Kerajaan Majapahit yang saat itu berkembang sebagai imperium raksasa. Penulis berupaya memberikan gambaran seobyektif & sedetail mungkin tentang keberadaan imperium raksasa di Bumi Nusantara agar menjadi pelajaran yang berharga
Recommender Systems Handbook, 2/E
No full textThis second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems
Continuous Integration : Improving Software Quality and Reducing Risk
No full textContinuous Integration: Improving Software Quality and Reducing Risk illustrates how to transform integration from a necessary evil into an everyday part of the development process. The key, as the authors show, is to integrate regularly and often using continuous integration (CI) practices and techniques.
The authors first examine the concept of CI and its practices from the ground up and then move on to explore other effective processes performed by CI systems, such as database integration, testing, inspection, deployment, and feedback. Through more than forty CI-related practices using application examples in different languages, readers learn that CI leads to more rapid software development, produces deployable software at every step in the development lifecycle, and reduces the time between defect introduction and detection, saving time and lowering costs. With successful implementation of CI, developers reduce risks and repetitive manual processes, and teams receive better project visibility.
The book covers
How to make integration a “non-event” on your software development projects
How to reduce the amount of repetitive processes you perform when building your software
Practices and techniques for using CI effectively with your teams
Reducing the risks of late defect discovery, low-quality software, lack of visibility, and lack of deployable software
Assessments of different CI servers and related tools on the market
The book’s companion Web site, www.integratebutton.com, provides updates and code examples
Android Application Development All-in-One For Dummies
No full textA must-have pedagogical resource from an expert Java educator
As a Linux-based operating system designed for mobile devices, the Android OS allows programs to run on all Android devices and appear free in the Android Market. Whether you\u27re a beginner programmer eager to create mobile applications or you\u27re Android-savvy and looking to submit your apps to the Android Market, this compilation of eight minibooks takes you through the ins and outs of programming for Android phones. Java expert Barry Burd walks you through Android programming basics, shares techniques for developing great Android applications, reviews Android hardware, and much more.
Uses the straightforward-but-fun For Dummies style to walk you through the ins and outs of programming for Android mobile devices
Features eight minibooks that take you from novice Android user to confidently developing Android applications
Addresses Android programming basics, the operating system, hardware, and security
Details what it takes to develop amazing Android apps
Covers the Eclipse environment and SQLite
Start developing applications for the Android OS today with the expert advice in Android Application Development All-in-One For Dummies
Deep Learning with JavaScript: Neural networks in TensorFlow.js
No full textDeep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.
Foreword by Nikhil Thorat and Daniel Smilkov.
About the technology
Running deep learning applications in the browser or on Node-based backends opens up exciting possibilities for smart web applications. With the TensorFlow.js library, you build and train deep learning models with JavaScript. Offering uncompromising production-quality scalability, modularity, and responsiveness, TensorFlow.js really shines for its portability. Its models run anywhere JavaScript runs, pushing ML farther up the application stack.
About the book
In Deep Learning with JavaScript, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, you’ll master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation.
What\u27s inside
- Image and language processing in the browser
- Tuning ML models with client-side data
- Text and image creation with generative deep learning
- Source code samples to test and modify
About the reader
For JavaScript programmers interested in deep learning
Python Scripting for Computational Science -3/E
No full textNumerous readers of the second edition have notified me about misprints and
possible improvements of the text and the associated computer codes. The
resulting modifications have been incorporated in this new edition and its
accompanying software.
The major change between the second and third editions, however, is
caused by the new implementation of Numerical Python, now called numpy.
The new numpy package encourages a slightly different syntax compared to
the old Numeric implementation, which was used in the previous editions.
Since Numerical Python functionality appears in a lot of places in the book,
there are hence a huge number of updates to the new suggested numpy syntax,
especially in Chapters 4, 9, and 10
Recommender Systems: An Introduction
No full textThis book provides an introduction to the broad field of recommender systems technology, as well as an overview of recent improvements. It is aimed at both graduate students or new PhDs who are starting their own research in the field and practitioners and IT experts who are looking for a starting point for
the design and implementation of real-world recommender applications. Additional advanced material can be found, for instance, in Recommender Systems Handbook (Ricci et al. 2010), which contains a comprehensive collection of contributions from leading researchers in the field.
This book is organized into two parts. In the first part, we start by summarizing the basic approaches to implementing recommender systems and discuss their individual advantages and shortcomings. In addition to describing how such systems are built, we focus on methods for evaluating the accuracy of
recommenders and examining their effect on the behavior of online customers.
The second part of the book focuses on recent developments and covers issues
such as trust in recommender systems and emerging applications based on Web
2.0 and Semantic Web technologies. Teaching material to accompany the topics
presented in this book is provided at the site http://www.recommenderbook.net
System Modelling and Simulation
No full textAlthough a number of books and research papers have appeared in the literature, a need is felt to have a systematic study of the subject which inculcates into designing and preparation of this book, updated with engineering applications. The basic techniques of Modelling and Simulation are now being taught in undergraduate engineering courses and its applications in various engineering subjects require detailed studies. An attempt has been made to make this treatise useful to engineers as well as scientists, especially defence scientists.
Most of the chapters in the book are based on the papers published by the author in various technical journals. Various mathematical and computer models were incorporated to have an efficient understanding of the basics system development. In order to make the analysis easier to understand, basic mathematical techniques such as probability, discrete and continuous system, queuing system which will be essential for the understanding of the subject have also been discussed. Rather than these mathematical topics, other topics dealing with aircraft and warheads, in which various components such as survivability analysis, vulnerability and cost effectiveness are included. System dynamics and inventory control model give the basic perspective of growth and delivery rate syste