Ditemukan 53135 dokumen yang sesuai dengan query
Littlefield, C.L.
New Delhi: Prentice-Hall, 1971
615.8 LIT o
Buku Teks Universitas Indonesia Library
Redmond: Microsoft Press, 2007
005.5 STE
Buku Teks Universitas Indonesia Library
"
One rapidly evolving technology today is information technology, which can help decision-making in an organization or a company. The data warehouse is one form of information technology that supports those needs, as one of the right solutions for companies in decision-making. The objective of this research is the development of a data warehouse at PT JKL in order to support executives in analyzing the organization and support the decision-making process. Methodology of this research is conducting interview with related units, literature study and document examination. This research also used the Nine Step Methodology developed by Kimball to design the data warehouse. The results obtained is an application that can summarize the data warehouse, integrating and presenting historical data in multidimensional. The conclusion from this research is the data warehouse can help companies to analyze data in a flexible, fast, and effective data access.
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621 COMMIT 6 (1-2) 2012
Artikel Jurnal Universitas Indonesia Library
Hinkle, Deborah A.
New York: Glencoe McGraw-Hill, 1998
005.5 HIN w
Buku Teks Universitas Indonesia Library
Jarett, Irwin M.
New York: John Wiley & Sons, 1983
658.054 JAR c
Buku Teks Universitas Indonesia Library
Aulia Rahma Azis
"Breakdown merupakan sebuah aplikasi manajemen proyek berbasis JavaScript yang dapat dijalankan melalui perambah (browser). Breakdown mengadopsi kombinasi konsep breakdown structure dengan bentuk treetable dan formula Excel yang digabungkan untuk membuat aplikasi yang bersifat modular sehingga dapat digunakan secara modular dan dilepas-pasang sesuai kebutuhan. Aplikasi ini dilengkapi dengan library Analisa Harga Satuan (AHS) yang terstandarisasi dengan tujuan untuk memberikan kemudahan bagi pengguna dalam menentukan kebutuhan-kebutuhan dan menghitung anggaran biaya yang diperlukan dalam sebuah proyek.
Hasil pekerjaan pengguna menggunakan aplikasi selanjutnya dapat diekspor ke dalam berkas Excel. Dari segi kecepatan respons aplikasi pada beberapa perambah yang diujikan, diperoleh rata-rata waktu respons 6.22 milidetik apabila aplikasi dijalankan pada perambah Mozilla Firefox. Berdasarkan pengujian fungsionalitas dan kepuasan pengguna dalam menggunakan aplikasi diperoleh nilai rata-rata 2.88 untuk keseluruhan sistem (menggunakan kuesioner PSSUQ dengan nilai 1 sebagai nilai tertinggi).
Breakdown is a JavaScript based project management application that can be run through a browser. Breakdown adopts a combination of breakdown structure concept in treetable form and Excel formula to create a modular application, so it can be used in a modular and removable as needed. The application comes with library of Unit Price Analysis (AHS) which is standardized to provide convenience for the user in determining requirements and calculate cost estimate of a project. The result can be export into Excel file. In terms of time response of the application on several browsers that are tested, gained an average 6.22 miliseconds response time when the applicaton is run through Mozilla Firefox. Based on functionality and user acceptance testing, obtained average score 2.88 for overall system (using PSSUQ Questionaire which is 1 as the highest score)."
Depok: Fakultas Teknik Universitas Indonesia, 2016
S62670
UI - Skripsi Membership Universitas Indonesia Library
Berman, Jules J.
""Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. . Learn general methods for specifying Big Data in a way that is understandable to humans and to computers. . Avoid the pitfalls in Big D"
Amsterdam: Morgan Kaufmann , 2013
005.74 BER p
Buku Teks Universitas Indonesia Library
Hengky Latan
Alfabeta : Bandung , 2014
004.77 LAT a
Buku Teks SO Universitas Indonesia Library
O`Brien, James A., 1936-
Homewood, Illinois: Richard D. Irwin, 1975
651.8 OBR c
Buku Teks Universitas Indonesia Library
Dool, J.H.
Toronto: McGraw-Hill, 1977
651.8 DOO b
Buku Teks Universitas Indonesia Library