Profil penulis
117 karya publik ditemukan.
Buku ini menekankan pada penyelesaian kasus-kasus sampai pada pengisian formulir serta pelaporannya dalam SPT (Surat Pemberitahuan), baik masa ataupun tahunan. Kasus-kasus perpajakan yang dimuat terdiri dari PPN dan PPnBM, PPh OP 1770 S, PPh OP 1770, PPh 21, dan PPh Badan.
Characteristics of human resources, economy, business and social organizations according to Balinese Hinduism.
Perilaku organisasi merupakan dasar pengetahuan bagi seseorang agar dapat berkomunikasi, bertindak tepat secara konteks organisasi. Dunia bisnis yang berkembang dengan cepat yang perubahannya dapat dikatakan cenderung sulit untuk diprediksi membutuhkan pribadi-pribadi yang dapat menjadi quick learner dan team player. Buku ajar ini menggunakan bahasa yang mudah dimengerti, sederhana, mengutip sumber literatur yang ba-ik serta menggunakan artikel darl Harvard Business Review (HBR) sebagai tambahan pengetahuan bagi mahasiswa terkait isu-isu yang sedang berkembang secara global. Buku ini akan membantu mahasiswa mengerti konsep perilaku seorang sebagai individu maupun secara kelompok, tim dan sebagai kesatuan entitas organisasi
Beginning in 1951, includes a separate statement covering Jan.- June of each year.
This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.
Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context Indicates future directions for Big Data as an enabler of advanced crime prevention and detection
Volume II of this series discusses the technology used to implement a big data analysis capability within a service-oriented organization. It discusses the technical architecture necessary to implement a big data analysis capability, some issues and challenges in big data analysis and utilization that an organization will face, and how to capture value from it. It will help readers understand what technology is required for a basic capability and what the expected benefits are from establishing a big data capability within their organization.
This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy. Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration. Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.
Contains 27 contributions addressing a wide range of topics including music storage, retrieval, distribution, and processing; education, learning, and cooperative musical work; digital rights and the law; digital watermarking; audio coding and music processing; and music notation. Some topics addres
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.
Statistika memiliki peranan penting dalam banyak bidang, terutama dalam penelitian-penelitian ilmiah, maupun penerapannya di bidang pendidikan. Dalam banyak hal, pengolahan dan analisis data senantiasa membutuhkan penerapan metode statistik tertentu, yang mana penggunaannya memberi dasar penjelasan yang logis mengenai hubungan-hubungan yang terdapat antara variabel-variabel yang menjadi kajian.
Bidang pengetahuan perilaku organisasi nampaknya makin hari semakin pesat perkembangannnya. Pusat-pusat studi di pelbagai universitas didirikan untuk membina dan mengembangkan bidang pengetahuan ini. Di Universitas Southern California Amerika Serikat, bidang pengetahuan perilaku dikembangkan baik di School of Public Administration maupun di Business Administration. Di School of Public Administration didirikan pusat pengembangan studi perilaku organisasi. Bagi mahasiswa yang berminat mendalami bidang perilaku dipersilahkan memperdalam di pusat studi ini. Perkembangan bidang pengetahuan ini, mudah dipahami karena selain persoalan-persoalan organisasi yang cenderung semakin kompleks, persoalan-persoalan manusia sendiri berlanjut menjadi tantangan yang pokok yang harus dihadapi oleh setiap organisasi apapun bentuknya. Perilaku manusia yang berada dalam suatu kelompok atau organisasi adalah awal dari perilaku organisasi itu. Oleh karena persoalan-persoalan manusia senantiasa berkembang dan ruwet, maka persoalan-persoalan organisasi dan khususnya persoalan perilaku organisasi semakin hari semakin berkembang pula.
On taxation law in Indonesia.
Bahan Panduan Praktikum Akuntansi Biaya ini disusun dengan tujuan untuk memberi latihan kepada mahasiswa dalam memamahami konsep akuntansi biaya, terutama yang berkaitan dengan perhitungan harga pokok pesanan dan harga pokok proses. Peserta praktikum seolah-olah diajak ke dalam perusahaan industri dan ditugaskan untuk menyelenggarakan proses akuntansi biaya, perhitungan harga pokok produksi dan penyusunan laba rugi untuk perusahaan industri. Perusahaan industri tersebut adalah PT. Surya Gemilang yang bergerak dalam industri alas kaki dan PT. Denim Bangun Persada yang memproduksi kain denim.
Management of local finance in Indonesia; manual.
