920,396 research outputs found

    PENGUKURAN TINGKAT PENGETAHUAN DAN KEPEDULIAN TERHADAP PENERAPAN GREEN COMPUTING (STUDI KASUS: FAKULTAS TEKNIK UNIVERSITAS PASUNDAN)

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    Penerapan green computing bertujuan untuk mencegah pemborosan sumber daya alam dan energi, agar pengguna teknologi paham mengenai penggunaan teknologi yang efisen dan ramah lingkungan. Seperti halnya di FT-UNPAS pengetahuan mengenai green computing sepertinya belum sepenuhnya diketahui oleh para penggunanya. Karena pentingnya pengetahuan mengenai green computing ini maka penulis merasa perlu dilakukan penelitian mengenai tingkatan seberapa jauh pengguna teknologi mengetahui mengenai green computing dan juga kepedulian pengguna teknologi tersebut terhadap penerapan green computing. Pengguna teknologi di FT-UNPAS diantaranya adalah Mahasiswa, Dosen dan Karyawan. Tugas akhir ini bertujuan untuk mengetahui sejauh mana tingkat pengetahuan dan kepedulian pengguna teknologi komputer di FT-UNPAS terhadap penerapan green computing dalam penggunaan teknologi komputer. Pengukuran menggunakan kuesioner dengan item instrumen yang dibuat berdasarkan teori Taksonomi Bloom. Dalam tugas akhir ini juga, membandingkan tingkat pengetahuan dan kesadaran karakteristik dari masing-masing responden (mahasiswa, dosen dan karyawan) dan mengetahui hubungan antara tingkat pengetahuan dan kepedulian penerapan green computing. Hasil akhir dari tugas akhir ini adalah dapat mengetahui tingkat pengetahuan dan kepedulian pengguna teknologi komputer di FT-UNPAS dan seberapa besar pengaruh tingkat pengetahuan terhadap kepedulian penerapan green computing. Kata Kunci: Green Computing, Teknologi Komputer, Taksonomi Bloom, Tingkat Pengetahuan, Kepedulian, Fakultas Teknik Universitas Pasundan

    Analysis of Green Computing Strategy in University: Analytic Network Process (ANP) Approach

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    Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis do not provide an analytical means to determine the importance of the identified factors of green computing strategy and implementation. Although the SWOT analysis successfully explores the factors, individual factors are usually described very generally. For this reason, SWOT analysis possesses deficiencies in the measurement and evaluation of green computing steps. Even though the analytic hierarchy process (AHP) technique eliminates these deficiencies, it does not allow for measuring the possible dependencies among the individual factors. The AHP method assumes that the green computing factors presented in the hierarchical structure are independent; however, this assumption may be inappropriate in light of certain situation. Therefore, it is important to utilize a form of SWOT analysis that calculates and takes into account the possible dependency among the factors. This paper demonstrates a process for quantitative SWOT analysis of green computing implementation that can be performed even when there is dependence among strategic factors. The proposed algorithm uses the analytic network process (ANP), which allows measurement of the dependency among the green computing implementation factors, as well as AHP, which is based on the independence between the factors. There are four alternatives: campus awareness program, computer procurement, increase in heat removal requirement, and increase in equipment power density for improving the implementation of green computing in campus. Dependency among the SWOT factors is observed to effect the strategic and sub-factor weights, as well as to change the strategy priorities. Based on ANC method, the best alternative for this implementation is computer procurement

    Integrated Green Cloud Computing Architecture

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    Arbitrary usage of cloud computing, either private or public, can lead to uneconomical energy consumption in data processing, storage and communication. Hence, green cloud computing solutions aim not only to save energy but also reduce operational costs and carbon footprints on the environment. In this paper, an Integrated Green Cloud Architecture (IGCA) is proposed that comprises of a client-oriented Green Cloud Middleware to assist managers in better overseeing and configuring their overall access to cloud services in the greenest or most energy-efficient way. Decision making, whether to use local machine processing, private or public clouds, is smartly handled by the middleware using predefined system specifications such as service level agreement (SLA), Quality of service (QoS), equipment specifications and job description provided by IT department. Analytical model is used to show the feasibility to achieve efficient energy consumption while choosing between local, private and public Cloud service provider (CSP).Comment: 6 pages, International Conference on Advanced Computer Science Applications and Technologies, ACSAT 201

    Green IT (includes High Powered Computing) - background reading

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    Background reading for coursework to prepare a technical report as part of the orientation phase. These items are business documents (i.e. grey literature) which might be read as a prelude or complement to finding information in peer reviewed academic publications. grey literature links and articles to be used in preparation of technical report. See also overview guidance document for this assignment http://www.edshare.soton.ac.uk/8017
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