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Online system for handling staff details and forecasting cadre positions in University system

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dc.contributor.advisor Premarathne, SC
dc.contributor.author Jayawardana, NADKA
dc.date.accessioned 2019-03-20T05:09:55Z
dc.date.available 2019-03-20T05:09:55Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/14070
dc.description.abstract University Grant Commission is the apex body of the government university system in Sri Lanka. Maintaining optimum staff is one of the main challenges in the government university system. The proper combination of quality and quantity of human capital is a measure of an organization’s strength and success. Further University Grant Commission is seeking to find staff member in quick time frame. Neither have they had proper software tool nor up-to-date database ofstaffmembers. This research has been conducted to develop a web based automated software solution to evaluate cadre position in university system. Principle objective of this research is to forecast cadre positions. In addition to that several features such as calculating current cadre requirement, searching staff members and generate charts and reports are included. Statistical forecasting method, Time Series Trend Analysis is applied to evaluate cadre positions. This proposed system is generated using equations based on the past 5 or 10 year enrollment data of each faculty and related fixed norms which are accepted by the UGC is used for evaluation part. Web based software with real time updated database driven on Apache web server, which is available to access authenticated users only. This research concludes that the presented solution has solved the above problems in the university and university grant commission in maintaining proper cadre positions in university teaching staff. Although widely varying approaches to forecasting the cadre positions are exists but most of them are not applicable for this issue. This method might not precisely predict the exact cadre position requirement of an university system in Sri Lanka. It is recommended that demonstration of fixed norm should be further drilled. en_US
dc.language.iso en en_US
dc.subject INFORMATION TECHNOLOGY
dc.subject ONLINE SYSTEMS
dc.subject University system Staff details
dc.title Online system for handling staff details and forecasting cadre positions in University system en_US
dc.type Thesis-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.degree Master of Science in information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2016-03
dc.identifier.accno TH3179 en_US


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