Making computer tasks at work more playful: Implications for systems analysts and designers

1988 ◽  
Author(s):  
J. Webster
Keyword(s):  
Systems Analysts ◽  
Computer Tasks

Perangkat Sumber Daya Manusia (Brainware)

2020 ◽  
Author(s):  
Nadila Putri Ayu
Keyword(s):  
Data Processing ◽  
Computer System ◽  
Human Resource ◽  
Computer Aided ◽  
Computer Device ◽  
Systems Analysts

AbstrakPerangkat sumber daya manusia menjadi bagian terpenting dalam menjalankan atau mengoperasikan sebuah perangkat komputer. Manusia merupakan suatu elemen dari sistem komputer yang merancang bagaimana suatu mesin dapat bekerja sesuai dengan hasil yang diinginkan. Istilah yang digunakan untuk manusia yang berhubungan dengan komputer adalah Brainware. Brainware adalah semua personil atau tenaga kerja di bidang komputer, yakni yang terlibat dalam kegiatan pembentukan sistem komputerisasi maupun yang menangani dan mengawasi langsung bagian pengolahan data berbantuan komputer. Brainware terdiri dari Programer, Sistem Analis, Administrator, Teknisi Hardware, Teknisi Jaringan dan Web Master.Kata Kunci : Perangkat Sumber Daya Manusia AbstractHuman resource devices become the most important part in running or operating a computer device. Humans are an element of a computer system that designs how a machine can work in accordance with the desired results. The term used for humans related to computers is Brainware. Brainware is all personnel or workers in the computer field, that is, those involved in the formation of computerized systems as well as those who handle and directly supervise computer-aided data processing. Brainware consists of Programmers, Systems Analysts, Administrators, Hardware Technicians, Network Technicians and Web Masters.Keywords: Human resource device

Perangkat sumber daya manusia

2020 ◽  
Author(s):  
Fahriza Irfansyah
Keyword(s):  
Data Processing ◽  
Computer System ◽  
Human Resource ◽  
Computer Aided ◽  
Computer Device ◽  
Systems Analysts

Perangkat sumber daya manusia menjadi bagian terpenting dalam menjalankan atau mengoperasikan sebuah perangkat komputer. Manusia merupakan suatu elemen dari sistem komputer yang merancang bagaimana suatu mesin dapat bekerja sesuai dengan hasil yang diinginkan. Istilah yang digunakan untuk manusia yang berhubungan dengan komputer adalah Brainware. Brainware adalah semua personil atau tenaga kerja di bidang komputer, yakni yang terlibat dalam kegiatan pembentukan sistem komputerisasi maupun yang menangani dan mengawasi langsung bagian pengolahan data berbantuan komputer. Brainware terdiri dari Programer, Sistem Analis, Administrator, Teknisi Hardware, Teknisi Jaringan dan Web Master. Human resource devices become the most important part in running or operating a computer device. Humans are an element of a computer system that designs how a machine can work in accordance with the desired results. The term used for humans related to computers is Brainware. Brainware is all personnel or workers in the computer field, that is, those involved in the formation of computerized systems as well as those who handle and directly supervise computer-aided data processing. Brainware consists of Programmers, Systems Analysts, Administrators, Hardware Technicians, Network Technicians and Web Masters.

EVALUATION OF TASK ALLOCATION IN MESH-BASED MULTICOMPUTERS USING GENETIC, NEURAL, AND TRADITIONAL ALGORITHMS

1994 ◽  
Vol 03 (01) ◽  
pp. 47-60
Author(s):  
R.A. McCONNELL ◽  
B.L. MENEZES
Keyword(s):  
Task Allocation ◽  
Bin Packing ◽  
Packing Problem ◽  
Allocation Problem ◽  
Hopfield Network ◽  
Processor Allocation ◽  
Classical Level ◽  
Bin Packing Problem ◽  
Residual Space ◽  
Computer Tasks

This article compares three techniques for allocating tasks in a mesh-based multi-computer. Tasks are expressed as rectangles of a certain width and height corresponding to the topology of processors desired. The task allocation problem, is thus a variant of the bin-packing problem, with one major difference: in the bin-packing problem one seeks to minimize the height of the bin, while here we seek to maximize the utilization of processors in a multicomputer. The three techniques compared are a classical level-by-level algorithm, a connectionist simulated annealing variant of the Hopfield network, and a genetic algorithm. An extension to the dynamic processor allocation problem is modeled by fixing some rectangles in place and packing the request rectangles in the residual space on the mesh; this corresponds to a pre-existing condition, i.e., some tasks have already been allocated to the Processor Mesh. Implementation and experimental results are presented.

scholarly journals Entry Level Systems Analysts: What Does the Industry Want?

10.28945/3517 ◽  
2016 ◽  
Vol 19 ◽  
pp. 141-160 ◽  
Author(s):  
Erastus Karanja ◽  
Donna M. Grant ◽  
Shinetta Freeman ◽  
David Anyiwo
Keyword(s):  
Oral Communication ◽  
Job Skills ◽  
Chi Square ◽  
Skill Sets ◽  
Entry Level ◽  
Science Degree ◽  
Job Advertisements ◽  
Systems Analysts ◽  
People Skills ◽  
Industry Certifications

This study investigates the skill sets necessary for entry level systems analysts. Towards this end, the study combines two sources of data, namely, a content analysis of 200 systems analysts’ online job advertisements and a survey of 20 senior Information Systems (IS) professionals. Based on Chi-square tests, the results reveal that most employers prefer entry level systems analysts with an undergraduate Computer Science degree. Furthermore, most of the employers prefer entry level systems analysts to have some years of experience as well as industry certifications. The results also reveal that there is a higher preference for entry level systems analysts who have non-technical and people skills (e.g., problem solving and oral communication). The empirical results from this study will inform IS educators as they develop future systems analysts. Additionally, the results will be useful to the aspiring systems analysts who need to make sure that they have the necessary job skills before graduating and entering the labor market.

Information Systems Curriculum Design Processes

2009 ◽  
pp. 628-641
Author(s):  
Paulette Alexander ◽  
Carol Gossett
Keyword(s):  
Information System ◽  
Information Systems ◽  
Curriculum Development ◽  
Curriculum Design ◽  
Course Content ◽  
Systems Analysts ◽  
The Many ◽  
Professional Systems ◽  
Information Systems Curriculum

The process of designing a university curriculum in the information systems discipline needs to follow many of the same processes that professional systems analysts use. Of concern are the product, the stakeholders, the drivers, and the methods; indeed, an information systems curriculum is an information system. This chapter presents a case study of one small regional university’s efforts to create an updated information systems curriculum addressing the challenges of curriculum development using the framework of the very systems analysis and design course content that the students are expected to learn. The chapter identifies each component of the information system curriculum and details the processes supporting each development step along the way, from problem identification to system operation and support. This case study presents a cohesive approach to dealing with the many pressures associated with information systems curriculum development and might be instructive for curriculum development in other disciplines as well.

scholarly journals Keuring en opleiding van rekenaarstelselontleders

1980 ◽  
Author(s):  
L. J. Fick ◽  
I. Van W Raubenheimer
Keyword(s):  
Computer Science ◽  
Computer Systems ◽  
Job Analysis ◽  
Extensive Study ◽  
Job Description ◽  
Training Requirements ◽  
Systems Analysts ◽  
Development And Validation ◽  
And Training ◽  
Selection Of

Some of the results of an extensive study on selection and training of computer systems analysts are reported. Special attention is devoted to a job description and job analysis as a basis for identifying the critical attributes and training requirements involved. The development and validation of a battery for the selection of computer systems analysts and students of computer science are discussed.

The Collaborative Use of Information Technology

2002 ◽  
pp. 82-105
Author(s):  
William J. Doll ◽  
Xiaodong Deng
Keyword(s):  
Information Technology ◽  
Systems Analysis ◽  
User Satisfaction ◽  
Information Needs ◽  
Collaborative Work ◽  
User Participation ◽  
End Users ◽  
Joint Activities ◽  
Collaborative Applications ◽  
Systems Analysts

User participation seems especially important in the development of collaborative work systems where the technology is used by a work group to coordinate their joint activities. Users rather than systems analysts are often the best source of information on how they will use information technology to collaborate. It is almost an axiom of systems development that end users should participate in a broad range of activities/decisions, and that they should be permitted to participate in these decisions as much as they want. Despite these widely held beliefs, research has not focused on the differential efficacy of user participation in collaborative versus non-collaborative applications. Building upon the work of behavioral scientists who study participative decision making, Doll and Torkzadeh (1991) present a congruence construct of participation that measures whether end users participate as much as they want in key systems analysis decisions. Using a sample of 163 collaborative and 239 non-collaborative applications, this research focuses on three research questions: (1) Is user participation more effective in collaborative applications? (2) What specific decision issues enhance user satisfaction and productivity? and (3) Can permitting end-users to participate as much as they want on some issues be ineffective or even dysfunctional? The results indicate that user participation is more effective in collaborative applications. Of the four decision issues tested, only participation in information needs analysis predicts end-user satisfaction and task productivity. Encouraging end users to participate as much as they want on a broad range of systems analysis issues such as project initiation, information flow analysis, and format design appears to be, at best, a waste of time and, perhaps, even harmful. These findings should help managers and analysts make better decisions about how to focus participatory efforts and whether end users should participate as much as they want in the design of collaborative systems.

Systems Analysts' Attitudes Toward Information Systems Development

2001 ◽  
pp. 179-188 ◽  
Author(s):  
James J. Jiang ◽  
Gary Klein ◽  
Joseph L. Balloun
Keyword(s):  
Information Systems ◽  
System Performance ◽  
Systems Development ◽  
Information Systems Development ◽  
System Failures ◽  
Future Studies ◽  
Systems Analysts

Certain researchers argue that systems analysts are too technical, a situation that may contribute to system failures. The results of this study, however, contradict this argument. By applying a framework of Dos Santos and Hawk (1988), analysts were found to have three primary orientations: technical, socio-political and user. No one orientation dominated. Using the framework applied in this study, managers can consider the analysts’ orientations in assigning development activities. Researchers can identify diverse orientations in future studies where attitudes may be significant predictors of system performance or development success.

Scheduling Mixed-Criticality Real-Time Tasks in a Fault-Tolerant System

2015 ◽  
Vol 6 (2) ◽  
pp. 65-86 ◽  
Author(s):  
Jian (Denny) Lin ◽  
Albert M. K. Cheng ◽  
Doug Steel ◽  
Michael Yu-Chi Wu ◽  
Nanfei Sun
Keyword(s):  
Real Time ◽  
Fault Tolerant ◽  
Formal Proof ◽  
Worst Case ◽  
Real Time Scheduling ◽  
Important Trend ◽  
Time Scheduling ◽  
On Line ◽  
Computer Tasks ◽  
Mixed Criticality

Enabling computer tasks with different levels of criticality running on a common hardware platform has been an increasingly important trend in the design of real-time and embedded systems. On such systems, a real-time task may exhibit different WCETs (Worst Case Execution Times) in different criticality modes. It is well-known that traditional real-time scheduling methods are not applicable to ensure the timely requirement of the mixed-criticality tasks. In this paper, the authors study a problem of scheduling real-time, mixed-criticality tasks with fault tolerance. An optimal, off-line algorithm is designed to guarantee the most tasks completing successfully when the system runs into the high-criticality mode. A formal proof of the optimality is given. Also, a novel on-line slack-reclaiming algorithm is proposed to recover from computing faults before the tasks' deadline during the run-time. Simulations show that an improvement of about 30% in performance is obtained by using the slack-reclaiming method.

Sign in / Sign up

Export Citation Format

Share Document