Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/3609
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dc.contributor.authorMaringe, Robert-
dc.date.accessioned2019-05-03T13:19:40Z-
dc.date.available2019-05-03T13:19:40Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/11408/3609-
dc.description.abstractThis research study aims at producing a proposed ZENT Employee Social Security System that delivers an automated employee access to social security credit. The development of this system was driven by the incompetence processing of the long serving social security access system. More so, the proposed ZENT social security system was developed using the modern technology adopted from the object oriented language classes. The benefits of developing such as a statement proved to outstand the related costs. The study advanced to outline the system user manual and document the data mining methods used to develop the proposed system.en_US
dc.language.isoenen_US
dc.publisherMidlands State Universityen_US
dc.subjectAutomated employee accessen_US
dc.subjectSocial security credit.en_US
dc.titleZent employee social security systemen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1en-
Appears in Collections:Bsc Information Systems Honours Degree
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