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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 :
Reward-based crowdfunding offers an advantageous setting for co-creation, where many forms of interactions between backers and project initiators contribute to the success of crowdfunding campaigns. However, there is a lack of study on the impact of backer co-creation in the form of comments, on the performance of crowdfunding campaigns. This study examines the influence of co-creation comments from backers, in terms of co-ideation, co-evaluation, and co-design comments, on the performance of crowdfunding campaigns, using signaling theory as a framework. This study also investigates if the responses of the project initiators (measured by the reply length, reply speed, reply ratio, and reply sentiment) have an impact on the crowdfunding performance. We utilized a panel dataset consisting of 525 reward-based crowdfunding initiatives, encompassing a total of 16,240 observation days. The results show that backers' co-ideation and co-evaluation activity leads to a higher funding amount. The effect of co-ideation comments on the number of backers is greater when project initiators respond to co-ideation comments with positive sentiments. We also found that to increase the amount of pledges, project initiators should reply to co-evaluation comments quickly, concisely, and with positive sentiment. ......Reward-based crowdfunding merupakan sebuah media yang sangat potensial untuk ko-kreasi, di mana berbagai bentuk interaksi antara penyumbang dana dan pemrakarsa proyek, berkontribusi terhadap keberhasilan kampanye crowdfunding. Namun, penelitian mengenai dampak ko-kreasi yang berbentuk komentar atau dialog antara penyumbang dana dan pemrakarsa proyek, terhadap kinerja kampanye crowdfunding masih kurang. Penelitian ini menguji pengaruh komentar ko-kreasi dari penyumbang dana, yang berbentuk komentar co-ideation, co-evaluation, dan co-design, terhadap kinerja kampanye crowdfunding, dengan menggunakan teori signaling sebagai kerangka kerjanya. Studi ini juga menyelidiki apakah tanggapan pemrakarsa proyek (diukur dari lamanya balasan, kecepatan balasan, rasio balasan, dan sentimen balasan) berdampak pada kinerja crowdfunding. Kami menggunakan data panel yang terdiri dari 525 kampanye crowdfunding, yang mencakup total 16.240 hari observasi. Hasil riset menunjukkan bahwa proyek yang menerima lebih banyak komentar co-ideation dan co-evaluation menghasilkan jumlah pendanaan yang lebih tinggi. Pengaruh komentar co-ideation terhadap jumlah penyumbang dana akan lebih besar ketika pemrakarsa proyek membalas komentar co-ideation dengan sentimen positif. Kami juga menemukan bahwa untuk meningkatkan jumlah dana terkumpul, pemrakarsa proyek harus membalas komentar co-evaluation dengan cepat, ringkas, dan dengan sentimen positif.

Abstrak :
This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling. Experiments or procedures that yield large images can be statistically or parametrically examined. Through the use of open source libraries, the book shows how big data in the form of images or datasets can be comparatively analysed along same defined procedures or standards. This book helps to solve the challenges of discarding datasets that are relevant directly or indirectly to the research. The habit of screening datasets leads to the discard of over 90% of the original dataset or images generated in the experiments or procedure. If the images or datasets are generated under the same principles or conditions, then each measurement may be the narrative of unique events. The focus of this book is to enlighten researchers on how to analyse measurements with the aim of ensuring 100% utilization.;

Abstrak :
The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data’s immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data. The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.

Abstrak :
This book features the proceedings of the Fifth International Conference on Computational Science and Technology 2018 (ICCST2018), held in Kota Kinabalu, Malaysia, on 29–30 August 2018. Of interest to practitioners and researchers, it presents exciting advances in computational techniques and solutions in this area. It also identifies emerging issues to help shape future research directions and enable industrial users to apply cutting-edge, large-scale and high-performance computational methods.

Abstrak :
The advancement of science and technology plays an important role in enhancing the international competitiveness of a nation. One of the indicators for measuring the advancement in science and technology of a nation is the amount of research that is published in international journals. In order to improve the quantity and quality of research publications, research themes mapping of published studies is required. By conducting research themes mapping, the research road map for future research can be developed effectively. In this study, Indonesian scholars’ publications, which are indexed in Scopus during the last five years (2010-2014), were analyzed by applying co-word analysis. Co-word analysis, which is part of text mining, is applied to find the interrelationship among research themes in a big corpus of data. As a result, there are fifteen main research themes in Indonesia as on Quadrant I and IV of strategic diagram.

Abstrak :
There is a necessity for a research centre to identify its main research theme and its subject linkages. On the other hand, rapid growth in the number of scientific publications has raised extensive data issues. Thus, it is difficult to detect the main subject and its relationships using traditional methods. Some quantitative methods in data mining have been developed and applied to solve these problems. Co-word analysis, as one of the most powerful tools in content analysis, is able to find the interrelationship among research themes based on the co-occurrence frequency of word/phrase pairs. As a result, the trend in research theme development is identifiable and future research plans could be effectively determined. As a case study, research publications from Universitas Indonesia (UI) academicians during the last five years (2010-2015) were analyzed. The data source for this study, are all those articles which have been indexed in Scopus, EBSCO, JSTOR, and ProQuest. The study generated strategic diagrams which show research themes of UI publications in each year and over the last five years. The last five years’ map shows that there are eleven main research themes in UI publications. This result can be used as a base for evaluating the previous research themes set by policy makers of UI.

Abstrak :
The book provides insights from the 2nd International Conference on Communication, Computing and Networking organized by the Department of Computer Science and Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India on March 29–30, 2018. The book includes contributions in which researchers, engineers, and academicians as well as industrial professionals from around the globe presented their research findings and development activities in the field of Computing Technologies, Wireless Networks, Information Security, Image Processing and Data Science. The book provides opportunities for the readers to explore the literature, identify gaps in the existing works and propose new ideas for research.