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Abstrak :
ABSTRAK
Trafik data saat ini terus bertumbuh secara eksponensial, yang didorong dengan makin berkembangnya data nirkabel wireless data dan penggunaan smartphone yang terus bertumbuh. Untuk mendukung perkembangan pemakaian trafik data, semua operator terus mengembangkan jaringan 4G LTE . XL Axiata sebagai salah satu operator besar di Indonesia telah secara resmi mengkomersialkan layanan internet cepat 4G LTE secara nasional di Indonesia.Sejak layanan LTE diluncurkan, masih banyak pelanggan yang belum beralih menggunakan layanan LTE, meskipun handset sudah memiliki kemampuan 4G LTE . Di jaringan XL Axiata, handset 4G yang pernah berada di jaringan 4G LTE kurang dari 30 . Sisanya tidak pernah berada di jaringan 4G, atau hanya berada di jaringan 2G dan 3G saja.Tujuan penelitian ini adalah menganalisis implementasi Big Data di XL Axiata dengan membandingkan biaya investasi yang dikeluarkan untuk implementasi Big Data dengan peningkatan trafik dan revenue yang didapat dengan berpindahnya pelanggan dengan handset 4G yang sebelumnya tidak pernah berada di jaringan 4G hanya di jaringan 2G dan 3G ke jaringan 4G. Analisis meliputi analisis teknis, ekonomi dan bisnis. Analisis dilakukan di 6 kota besar di Indonesia: Jakarta, Bandung, Semarang, Yogyakarta, Surabaya dan Denpasar selama 8 bulan Mei ndash; Desember 2016 . Dari hasil perhitungan, kenaikan trafik yang didapat di 6 kota tersebut rata-rata adalah sebesar 16.17 .

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ABSTRACT
The current data traffic continues to grow exponentially, driven by the growing wireless data and the use of smartphones. To support the development of data traffic consumption, all the operators continue to develop a 4G network LTE . XL Axiata as one of the major operators in Indonesia has formally commercialize fast Internet service 4G LTE in Indonesia.Since the launch of LTE services, there are still many customers who have not switched to use LTE services, although the handset has the capability of 4G LTE . In XL Axiata network, only less than 30 of handset 4G that has been connected in 4G network, the rest are never connected to 4G network, or just in 2G or 3G networks only.The purpose of this study is to analyze the implementation of Big Data in XL Axiata by comparing the investment cost incurred for Big Data implementation with increasing traffic and revenue gained by switching customers with 4G handset which previously never been on 4G network only in 2G and 3G networks to a 4G network. The analysis includes technical, economic and business analysis. The analysis was conducted in 6 major cities in Indonesia Jakarta, Bandung, Semarang, Yogyakarta, Surabaya and Denpasar for 8 months May December 2016 . From the calculation, the increase of traffic obtained in 6 cities is an average of 16.17 .

Abstrak :
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that's so clouded in hype? This insightful book, based on Columbia University's Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use

Abstrak :
This book constitutes selected papers from the 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, held in Coimbra, Portugal, in September 2017. EMCIS is focusing on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 37 full and 16 short papers presented in this volume were carefully reviewed and selected from a total of 106 submissions. They are organized in sections on big data and Semantic Web; digital services, social media and digital collaboration; e-government; healthcare information systems; information systems security and information privacy protection; IT governance; and management and organizational issues in information systems.

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This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing, Intelligent Systems, and Information Technology, ICSIIT 2015, held in Bali, Indonesia, in March 2015

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One of the most exciting developments from the world of ideas in decades, presented with panache by two frighteningly brilliant, endearingly unpretentious, and endlessly creative young scientists."--Steven Pinker, author of The Better Angels of Our Nature Our society has gone from writing snippets of information by hand to generating a vast flood of 1s and 0s that record almost every aspect of our lives: who we know, what we do, where we go, what we buy, and who we love. This year, the world will generate 5 zettabytes of data. (That's a five with twenty-one zeros after it.) Big data is revolutionizing the sciences, transforming the humanities, and renegotiating the boundary between industry and the ivory tower. What is emerging is a new way of understanding our world, our past, and possibly, our future. In Uncharted, Erez Aiden and Jean-Baptiste Michel tell the story of how they tapped into this sea of information to create a new kind of telescope: a tool that, instead of uncovering the motions of distant stars, charts trends in human history across the centuries. By teaming up with Google, they were able to analyze the text of millions of books. The result was a new field of research and a scientific tool, the Google Ngram Viewer, so groundbreaking that its public release made the front page of The New York Times, The Wall Street Journal, and The Boston Globe, and so addictive that Mother Jones called it "the greatest timewaster in the history of the internet." Using this scope, Aiden and Michel-and millions of users worldwide-are beginning to see answers to a dizzying array of once intractable questions. How quickly does technology spread? Do we talk less about God today? When did people start "having sex" instead of "making love"? At what age do the most famous people become famous? How fast does grammar change? Which writers had their works most effectively censored by the Nazis? When did the spelling "donut" start replacing the venerable "doughnut"? Can we predict the future of human history? Who is better known-Bill Clinton or the rutabaga? All over the world, new scopes are popping up, using big data to quantify the human experience at the grandest scales possible. Yet dangers lurk in this ocean of 1s and 0s-threats to privacy and the specter of ubiquitous government surveillance. Aiden and Michel take readers on a voyage through these uncharted waters" "Breaking open Big Data, two Harvard scientists reveal a ground-breaking way of looking at history and culture"

Abstrak :
Perkembangan teknologi informasi dan internet dalam berbagai sektor kehidupan menyebabkan terjadinya peningkatan pertumbuhan data di dunia. Pertumbuhan data yang berjumlah besar ini memunculkan istilah baru yaitu Big Data. Karakteristik yang membedakan Big Data dengan data konvensional biasa adalah bahwa Big Data memiliki karakteristik volume, velocity, variety, value, dan veracity. Kehadiran Big Data dimanfaatkan oleh berbagai pihak melalui Big Data Analytics, contohnya Pelaku Usaha untuk meningkatkan kegiatan usahanya dalam hal memberikan insight yang lebih luas dan dalam. Namun potensi yang diberikan oleh Big Data ini juga memiliki risiko penggunaan yaitu pelanggaran privasi dan data pribadi seseorang. Risiko ini tercermin dari kasus penyalahgunaan data pribadi Pengguna Facebook oleh Cambridge Analytica yang berkaitan dengan 87 juta data Pengguna. Oleh karena itu perlu diketahui ketentuan perlindungan privasi dan data pribadi di Indonesia dan yang diatur dalam General Data Protection Regulation (GDPR) dan diaplikasikan dalam Big Data Analytics, serta penyelesaian kasus Cambridge Analytica-Facebook. Penelitian ini menggunakan metode yuridis normatif yang bersumber dari studi kepustakaan. Dalam Penelitian ini ditemukan bahwa perlindungan privasi dan data pribadi di Indonesia masih bersifat parsial dan sektoral berbeda dengan GDPR yang telah mengatur secara khusus dalam satu ketentuan. Big Data Analytics juga memiliki beberapa implikasi dengan prinsip perlindungan privasi dan data pribadi yang berlaku. Indonesia disarankan untuk segera mengesahkan ketentuan perlindungan privasi dan data pribadi khusus yang sampai saat ini masih berupa rancangan undang-undang.

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The development of information technology and the internet in various sectors of life has led to an increase in data growth in the world. This huge amount of data growth gave rise to a new term, Big Data. The characteristic that distinguishes Big Data from conventional data is that Big Data has the characteristic of volume, velocity, variety, value, and veracity. The presence of Big Data is utilized by various parties through Big Data Analytics, for example for Corporation to incurease their business activities in terms of providing broader and deeper insight. But this potential provided by Big Data also comes with risks, which is violation of one's privacy and personal data. One of the most scandalous case of abuse of personal data is Cambridge Analytica-Facebook relating to 87 millions user data. Therefor it is necessary to know the provisions of privacy and personal data protection in Indonesia and which are regulated in the General Data Protection (GDPR) and how it applied in Big Data Analytics, as well as the settlement of the Cambridge Analytica-Facebook case. This study uses normative juridical methods sourced from library studies. In this study, it was found that the protection of privacy and personal data in Indonesia is still partial and sectoral which is different from GDPR that has specifically regulated in one bill. Big Data Analytics also has several implications with applicable privacy and personal data protection principles. Indonesia is advised to immediately ratify the provisions on protection of privacy and personal data which is now is still in the form of a RUU.

Abstrak :
Peranan data sangat penting terutama memasuki era ledakan data atau "Big Data". Oleh karenanya, pihak yang mampu mengolah dan memanfaatkan data-data yang sangat besar, cepat, variatif, dan kompleks, dapat mengambil keuntungan yang besar. Namun sayangnya, penerapan Big Data analitik masih belum begitu populer di Indonesia, khususnya di lembaga pemerintahan. Penelitian ini dimaksudkan untuk melihat sejauh mana teknologi Big Data sudah dimanfaatkan di beberapa lembaga pemerintahan, dan tantangan apa saja yang muncul dalam penerapannya. Diharapkan hasil kajian dapat memberikan informasi dan inspirasi sehingga implementasi teknologi Big Data di Indonesia dapat semakin luas, khususnya di lembaga pemerintahan.

Abstrak :
ABSTRAK
Big Data adalah salah satu fenomena yang sudah tidak jarang terjadi di berbagai aspek-aspek kehidupan, baik di bidang industri, keuangan, sosial, dan sebagainya. Dari segi sosial, penggunaan media sosial seperti Twitter merupakan salah satu aplikasi nyata dari teknologi Big Data. Melalui opini-opini yang disampaikan pada Twitter, kita dapat mengetahui hal-hal apa saja yang menjadi topik terkini. Dengan besarnya jumlah tweet yang dipublikasikan tiap hari, atau tiap jam, membuat analisis terhadap Twitter ini hampir mustahil dilakukan tanpa menggunakan teknologi komputasi. Environment seperti Hadoop, Flume, dan Hive merupakan salah satu teknologi dapat digunakan untuk menganalisis jumlah data yang besar, yang mengalir di dalam Twitter.

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ABSTRACT
Big Data is one of the global phenomenon that has become broad thing in the various aspects of the daily life, such as in industry sector, finance sector, social sector, etc. From the social aspect, the usage of the social media such as Twitter is one of the real application of the Big Data technology. Through the opinions that expressed on Twitter, we can find out about the things that become the current trending topic. With the numbers of the tweets that published every day, or every hour, making it impossible to do the Twitter analyzing without the use of the computational technology. The environment such as Hadoop, Flume, dan Hive is one of the technologies that can be use to analyze the enormous size of data, that flows around Twitter.

Abstrak :
This book presents the concepts of big data, explores its analytics and technologies and their applications and develops an understanding of issues pertaining to the use of big data in multidisciplinary fields. It explores big data through the historical and technical background, architecture, open-source and commercial programming systems, analytics, state of practice in industry, and other topics