Koleksi Perpustakaan

Manajemen, edisi 7, jilid 1

Dasar-dasar pelayanan prima

Panduan Praktis Implementasi Konfigurasi Jaringan MS Windows 2008 Server

Parallel Programming - Teknik dan Aplikasi Menggunakan Jaringan Workstation & Komputer Paralel

Perilaku Organisasi 1 (ed. 12) HVS

The Big Pang Theory: Talking Mad About Football

"""Cukup menggelikan jika melihat bahwa 22 orang berlarian di lapangan berukuran sekian ratus meter persegi hanya untuk memperebutkan si kulit bundar yang akan dibuang ke kotak berjaring di ujung lapangan kemudian. Mungkin begitu pikiran orang-orang yang nggak ngerti bola. Tidak semua orang setuju jika ada yang mengatakan bahwa sepak bola adalah olahraga yang paling hebat daripada olahraga lainnya. Buku, film, musik, dan olahraga adalah hal yang sangat subjektif. Sepak bola salah satunya. ini masalah selera. namun hampir semua orang setuju bahwa sepak bola adalah olahraga yang paling populer di dunia. Melalui The Big Pang Theory: talking mad about football, mereka pecinta bola maupun yang tidak suka, akan diajak untuk ngobrolin sepak bola. Tak hanya yang terjadi di dalam lapangan, tapi jauh melebihi itu."""

Applied Big Data Analytics in Operations Management

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.

Big Data and Hadoop

This book introduces you to the Big Data processing techniques addressing but not limited to various BI (business intelligence) requirements, such as reporting, batch analytics, online analytical processing (OLAP), data mining and Warehousing, and predictive analytics. The book has been written on IBMs Platform of Hadoop framework. IBM Infosphere BigInsight has the highest amount of tutorial matter available free of cost on Internet which makes it easy to acquire proficiency in this technique. This therefore becomes highly vunerable coaching materials in easy to learn steps. The book optimally provides the courseware as per MCA and M. Tech Level Syllabi of most of the Universities. All components of big Data Platform like Jaql, Hive Pig, Sqoop, Flume , Hadoop Streaming, Oozie: HBase, HDFS, FlumeNG, Whirr, Cloudera, Fuse , Zookeeper and Mahout: Machine learning for Hadoop has been discussed in sufficient Detail with hands on Exercises on each.

Big Data and Analytics

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.

Big Data

This book is meant for students, as well as executives, who wish to take advantage of emerging opportunities in Big Data. It provides an intuition of the wholeness of the field in a simple language, free from jargon and code. All the essential Big Data technology tools and platforms such as Hadoop, MapReduce, Spark, and NoSql are discussed. The short chapters make it easy to quickly understand the key concepts. A complete case study of developing a Big Data application is included. Salient Features: - Provides fun and insightful case-lets from real-world stories at the beginning of every chapter. For example IMB Watson Case Study, Google Flu - Provides a running case study across the chapters as exercises e.g. Google Query Architecture, How Google Search Works - Dedicated Chapters on Data Mining and Big Data Programming, Appendices on Installation of Hadoop, Spark and Amazon Web Services

Small is The New Big

Seth Godin secara aktif menulari orang-orang dengan pemikiran-pemikiran, ide-idenya yang brilian melalui blognya. Buku ini adalah cuplikan yang menghibur dari pemikiran Godin yang sangat original. 183 ide bisnis disajikan secara acak, tidak runut, yang justru menguatkan sifat kreatifnya. Ada ide yang cuma sepele dan pasti tak berguna buat Anda, ada yang cuma gembar-gembor, tapi ... ada juga yang luar biasa! Karena buku ide bisnis maka harus dibaca pula secara kreatif, acak, tidak terkungkung aturan, tapi Ö dijamin setelah baca setiap pokok bahasan (ide) pasti ada yang menjadi inspirasi pribadi. Dan saya sangat yakin bahwa begitu Anda terinspirasi Anda pasti akan melakukan sesuatu. Editorís Note: Seth Godin, salah satu pemikir yang paling berpengaruh di dunia bisnis masa kini, menuliskan buku-buku bestselling seperti Purple Cow dan All Marketers Are Liars. Dan di antara buku-buku tahunan tersebut, setiap hari dia mencetuskan ide-ide cemerlang melalui blog yang paling populer di dunia. Terkumpul dalam buku ini yang pertama kalinya adalah delapan tahun dari blog posts-nya, kolom majalah, dan e-books-nya yang terbaik. Dalam setiap halaman, Small is the New Big memberikan ide-ide dan cerita-cerita yang dapat mengubah bagaimana Anda bekerja, apa yang Anda beli, dan bagaimana Anda memandang dunia. Buku ini tepat bagi para pelaku pemasaran, salespeople sampai marketer, pelaksana maupun penyusun startegi, pengusaha/entrepreneur, karyawan, manajer, eksekutif, pemimpin, mahasiswa, pelajar remaja, siapa pun, terutama yang mencari alternatif cara meraih sukses pribadi, profesional, dan finansial. Seth Godin adalah pengarang dari tujuh bestseller internasional, yaitu Permission Marketing, Unleashing the Idea Virus, The Big Red Fez, Survival Is Not Enough, Purple Cow, Free Prize Inside!, dan All Marketers are Liars. Dia juga berperan sebagai editor untuk The Big Moo dan pendiri dan CEO dari Squidoo.

The Enterprise Big Data Lake

The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries

Inti Sari Manajemen Keuangan

Big Data Technology Influences To Social Live

Why trip time reliability and crowding factors can influence MTR passenger choice by (AI) marketing research survey method?Other problem is MTR busy (peak) time's crowding in public transportation occurrence of MTR underground train transportation tool is becoming a growth to concern as MTR demand growth at a busy (peak) time. To capture the MTR passengers benefits with reduced crowding from improved MTR public transport service and image. It is necessary a identify the relevant dimensions of crowding that are meaningful measures of what crowding means to MTR passengers. Two main influences on MTR model choice that are growing in relevance are trip time reliability and crowding. It represents a benefit-cost framework. In fact, MTR passengers can be willing to pay more expensive ticket fare, it MTR can avoid crowding and short and the accurate arrival trip time between terminals is reliable to occur. How to measure of MTR crowding, e.g. weighting the gap between the busy time, the standard ( i.e. objective) and the perceived ( i.e. subjective) metrics. We are not in a position to definitely map the two dimensions, which is a crucial requirement for translating objective improvements into equivalent subjective gains that then can be applied, willingness to pay estimates MTR ticket fares to obtain the additional MTR passenger benefits of MTR public transportation investment to any terminal stations. Because MTR crowding has a negative impact on passengers in terms of psychological on emotional distress. MTR passengers are willing to stand for up to 20 minutes of the service is fast and reliable usually. However crowding outweighed these benefits from a MTR passenger's perpective, experienced crowding leads a increased dissatisfaction. e.g. stress and less privacy during who needs to stand up in MTR. Due to there are no enough places to supply to them to stand up in MTR. If the MTR trip time was longer time between the passenger's terminals, who will feel more dissatisfaction and it will cause who feels whether who ought need to choose to catch other transportation tools to substitute MTR next time. e.g. bus, train, tram, ferry, taxi etc. So, from an operator's perspective, the MTR service frequency or MTR size is significantly influenced by the level of ridership, which sends a signal to respond if the monitored crowding level exceeds the benchmark standard in the busy time. e.g. in the morning time or at the night time, the students or employment people who need to go to schools or offices ( working places). The locations of different places between MTR terminals and crowding are regarded as a key service attribute for MTR pubic transportation along with other factors, such as travelling time and reliability, e.g. service quality, none engineering machines are broken to cause MTR stops suddenly.Given the increasing importance of crowding on both the disutility to existing MTR public transportation users and the influence to it. MTR passenger can choose to use either the MTR public transportation or other public transportation. It is timely to review the MTR current measures of crowding defined by transportation authorities. MTR operators ought evaluate whether they appropriately reflect MTR each traveler experiences and perceptions of crowding in busy (peak) time. I suggest that MTR needs to buy other underground trains to supply to the busy (peak) time passengers to let them have enough seats to sit down, so who do not need to stand up in any MTR underground trains when they catch MTR underground trains in busy time. It aims to let who are willingness to pay the estimation of reasonable ticket fares to compare the other kinds of transportation tools in the busy (peak) time.

Big Data Applications and Use Cases

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.

Big Data Analytics for Smart and Connected Cities

To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.

Peraturan Pemerintah Republik Indonesia nomor 32 tahun 2011 tentang manajemen dan rekayasa, analisis dampak, serta manajemen kebutuhan lalu lintas

Implementing regulation on traffic management in Indonesia; includes related regulations concerning public transportation in Indonesia.

Loyalty 3.0: How to Revolutionize Customer and Employee Engagement with Big Data and Gamification

Learn the secret to using big data and gamification to motivate, engage, and engender true loyalty among your customers, employees, and partners As our lives move online and nearly everything we do is being mediated by technology, all of our activity is generating reams of data – we are all “walking data generators.” Loyalty 3.0 reveals how to combine this “big data” with the latest understanding of human motivation to power gamification - the data-driven motivational techniques used by game designers to stimulate engagement, participation, and activity. With this potent combination, businesses now have a powerful engine for creating true loyalty among their customers, employees, and partners, and for generating a sustainable competitive advantage in their markets. Loyalty 3.0 is a book that will redefine how you think about loyalty, and will open your eyes to the power of data to engage and motivate anyone, anywhere. Rajat Paharia created the gamification industry in 2007 as the founder and Chief Product Officer at Bunchball, which has been recognized as an industry leader and innovator by Fast Company, TechCrunch, MSNBC, Forbes, and many others. Prior to Bunchball, Rajat worked at the intersection of technology, design, and user experience at world-renowned design firm IDEO.

MySQL 8 for Big Data

Uncover the power of MySQL 8 for Big Data About This Book Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQL Who This Book Is For This book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8. What You Will Learn Explore the features of MySQL 8 and how they can be leveraged to handle Big Data Unlock the new features of MySQL 8 for managing structured and unstructured Big Data Integrate MySQL 8 and Hadoop for efficient data processing Perform aggregation using MySQL 8 for optimum data utilization Explore different kinds of join and union in MySQL 8 to process Big Data efficiently Accelerate Big Data processing with Memcached Integrate MySQL with the NoSQL API Implement replication to build highly available solutions for Big Data In Detail With organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs. Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing. By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications. Style and approach Step by Step guide filled with real-world practical examples.

MANAJEMEN KEPUASAN DAN KETERIKATAN PEGAWAI

Kepuasan, keterikatan, dan produktivitas pegawai yang tinggi adalah isu semua pimpinan, baik di instansi pemerintahan maupun industri. Saya senantiasa berusaha menulis tema-tema sentral yang sangat diperhatikan banyak orang, baik di instansi pemerintahan maupun industri. Hal ini disebabkan niat untuk memberikan dampak bagi banyak organisasi sekaligus. Buku Manajemen Kepuasan dan Keterikatan Pegawai ini, merupakan salah satu tema buku yang sudah lama sekali ingin saya tuliskan. Sejak mulai bekerja di Astra, saya melihat betapa perhatian manajemen pada kepuasan pegawai (saat itu belum ada konsep keterikatan pegawai) memanusiakan pegawai dan menguntungkan pengusahanya sekaligus. Selama berkarir di Astra saya mencermati bahwa peningkatan kepuasan pegawai memberikan biaya lebih tinggi bagi pengusaha. Tetapi dampaknya, memberikan keuntungan lebih tinggi juga bagi pengusaha. Itulah sebabnya saya sangat meyakini pentingnya manajemen kepuasan dan keterikatan pegawai dan bersyukur bisa menyusun buku ini. Kepuasan pegawai dan keterikatan pegawai adalah dua tema besar manajemen SDM dan manajemen organisasi yang sangat berkaitan. Dalam bahasa sederhana, pegawai yang puas umumnya akan memiliki keterikatan yang tinggi. Selanjutnya, pegawai yang memiliki kepuasan dan keterikatan tinggi akan memiliki produktivitas yang lebih tinggi. Peningkatan produktivitas menciptakan pertumbuhan ekonomi. Peningkatan produktivitas memungkinkan perusahaan menghasilkan output yang lebih besar untuk tingkat input yang sama, yang kemudian mendukung perusahaan memperoleh pendapatan yang lebih tinggi, dan berdampak akhir menghasilkan Produk Domestik Bruto yang lebih tinggi. Bagi pegawai, peningkatan produktivitas juga memiliki manfaat signifikan. Peningkatan produktivitas akan membuat pegawai memperoleh upah yang lebih tinggi dan kondisi kerja yang lebih baik. Dengan upah lebih tinggi, kesejahteraan pegawai dan keluarganya akan membaik. Dengan kondisi kerja yang lebih baik, pegawai akan lebih bahagia dan sehat secara mental. Saya menulis buku ini dan bersemangat untuk membantu Indonesia agar lebih mengoptimalkan kepuasan dan keterikatan pegawai. Pegawai yang memiliki kepuasan dan keterikatan tinggi akan memiliki produktivitas yang lebih tinggi. Pegawai yang memiliki kepuasan dan keterikatan tinggi akan meningkatkan produktivitas pegawai, unit kerjanya, organisasinya, dan pada akhirnya produktivitas bangsa Indonesia. Kementerian, lembaga atau perusahaan di Indonesia perlu melaksanakan pelatihan atau implementasi perbaikan sistem manajemen untuk peningkatan kualitas kepuasan dan keterikatan pegawai. Kepuasan dan keterikatan pegawai memiliki dinamika yang sangat kompleks. Tidak mudah memahami hubungan dua tema besar ini bila tidak mendalaminya secara serius. Membaca buku ini akan membuat Anda lebih memahami dinamika kepuasan dan keterikatan pegawai. Hubungan antar keduanya sangat kuat. Kadang selaras. Kadang bertentangan. Hal ini menimbulkan misteri manajemen. Sebagai contoh, pada situasi tertentu, pegawai yang puas belum tentu memiliki keterikatan yang tinggi. Mengapa demikian, dibahas detailnya dalam bagian khusus di buku ini. Menjaga pegawai agar tetap puas dan terikat membutuhkan lebih dari sekedar gaji dan tunjangan yang baik. Buku ini sangat cocok untuk dimiliki setiap pimpinan unit kerja. Pimpinan unit kerja di organisasi pemerintahan maupun bisnis akan terbantu menjawab berbagai misteri manajemen SDM terkait kepuasan dan keterikatan pegawai. Bila Anda dan para pimpinan unit kerja di kementerian/lembaga atau perusahaan memiliki perhatian dan kepedulian yang sama pada kepuasan dan keterikatan pegawai, maka buku ini sangat cocok untuk Anda. Berbagai aspek kepuasan dan keterikatan pegawai dielaborasi dengan super lengkap, terintegrasi dan menarik dalam buku ini. Dengan memahami isi buku ini, Anda dapat membangun tim yang lebih kuat di organisasi Anda. Dengan mencermati isi buku ini, Anda dapat membangun kinerja organisasi dan bisnis yang lebih baik sesuai target-target Anda. Dengan mengerti dan menerapkan isi buku ini, kita berkontribusi membangun masa depan Indonesia menjadi salah satu macan Asia di masa depan.