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"Expanding the frontiers of visual analytics and visualization provides a review of the state of the art in computer graphics, visualization, and visual analytics by researchers and developers who are closely involved in pioneering the latest advances in the field. It is a unique presentation of multi-disciplinary aspects in visualization and visual analytics, architecture and displays, augmented reality, the use of color, user interfaces and cognitive aspects, and technology transfer. It provides readers with insights into the latest developments in areas such as new displays and new display processors, new collaboration technologies, the role of visual, multimedia, and multimodal user interfaces, visual analysis at extreme scale, and adaptive visualization."

"Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today the widespread use of mobile phones and technologies like GPS and RFID provides an immense amount of data on location and movement. What is needed are new methods of visualization and algorithmic data analysis that are tightly integrated and complement each other to allow end-users and analysts to extract useful knowledge from these extremely large data volumes. This is exactly the topic of this"

"In this book, Graham Wills bridges the gap between the art and the science of visually representing data. He does not simply give rules and advice, but bases these on general principles and provide a clear path between them. "

"This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference."

"Bank ABC sebagai salah satu Bank Devisa ikut aktif dalam pasar valuta asing (valas) dengan memberikan jasa jual beli valas dalam jumlah yang besar setiap harinya. Jumlah transaksi yang besar membuat sangat sulit untuk menemukan aktivitas yang menyimpang dari ketentuan regulasi jual beli valas yang ditetapkan Bank Indonesia, khususnya terkait kebijakan penyertaan dokumen dasar transaksi atau underlying untuk jumlah tertentu (threshold). Walaupun continuous auditing telah dilakukan, namun metode ini masih menghasilkan laporan yang panjang sehingga Internal Auditor membutuhkan waktu lebih dalam melakukan analisis. Internal Auditor berkewajiban melakukan pendeteksian dan memberi kepastian bahwa Bank telah menjalankan transaksi pembelian valas tanpa penyimpangan dan sesuai dengan regulasi yang ada secara berkesinambungan sebelum terdeteksi oleh pihak regulator, sehingga potensi loss dari pemberian denda dapat dihindari. Strategi pendeteksian diperlukan agar proses identifikasi aktivitas penyimpangan dilakukan dengan efektif dan efisien.Penelitian ini bertujuan untuk menganalisis continuous auditing yang telah ada di Bank ABC yaitu terkait identifikasi upaya penghindaran underlying pembelian valas oleh nasabah Bank ABC dan mendeskripsikan pemanfaatan dari visual analytics melalui link analysis yang dapat menyempurnakan pelaksanaan continuous auditing pada Bank ABC. Penelitian ini menggunakan pendekatan studi kasus dengan melakukan analisis konten untuk mengolah data primer berupa observasi, wawancara, dan kuesioner, serta data sekunder berupa dokumentasi yang disediakan oleh Bank ABC. Foundational Continuous Assurance Framework dan Technology Acceptance Model digunakan untuk membantu mencapai tujuan penelitian. Validasi tambahan dilakukan dengan meminta tinjauan independen dari Internal Auditor Bank ABC. Hasil penelitian menunjukan bagaimana penggunaan metode visual analytics melalui link analysis dapat membantu Internal Auditor Bank dalam melakukan deteksi awal atas upaya penghindaran penyertaan underlying pembelian valas yang dilakukan oleh nasabah Bank ABC sehingga menyempurnakan pelaksanaan continuous auditing dan meminimalisir potensi loss denda regulator, peningkatan produktivitas kualitas hasil audit dan efisiensi atas waktu yang dibutuhkan untuk mengidentifikasi potensi penyimpangan.

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ABC Bank as one of Forex Bank in Indonesia, actively participates in Forex Market by providing Forex services with big daily turnover. The big number of transactions makes it very difficult to find the irregularities of the Forex transaction regulations that stipulated by Bank Indonesia, specially the requirement of underlying documents of the Forex transaction for a certain amount (threshold). Although continuous auditing has been carried out, this method still produces lengthy report so that the Internal Auditor needs more time to do the analysis. The Internal Auditor is obliged to detect and provide assurance that the Bank has running the Forex transactions without irregularities on an ongoing basis before being detected by regulators, so that the potential losses from penalty can be avoided.

This study aims to analyze the existing continuous auditing in Bank ABC, about the identification of avoidance of underlying in Forex transaction, and also to describe the utilization of visual analytics through link analysis that can improve the implementation of continuous auditing at Bank ABC. This study used a case study approach with single analysis by process data with content analysis. This study colected primary data from observation, interviews, and questionnaires, and secondary data from documentation that provide by Bank ABC. Foundational Continuous Assurance Framework and Technology Acceptance Model (TAM) are used to help achieve the research objectives. Additional validation is achieved by requesting an independent review from the audit practitioner of Bank ABC. The results show that visual analytics through link analysis can assist Internal Auditor in early detection of avoidance of underlying in Forex transactions, so can improve the implementation of continuous auditing and minimize the potential loss from regulator penalties, increase the quality of audit findings, and streamline the identification process of irregularities.

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