Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/4887
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dc.contributor.authorKhairina, Dyna Marisa-
dc.contributor.authorAsrian, Muhammad Reski-
dc.contributor.authorHatta, Heliza Rahmania-
dc.date.accessioned2020-08-13T03:46:52Z-
dc.date.available2020-08-13T03:46:52Z-
dc.date.issued2017-
dc.identifier.issn978-1-5090-0890-2-
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/4887-
dc.description.abstractCompanies need new employees that are expected to meet the assessment of each criteria. The criteria set by the company is expected to become a quality standard for the employee's own personal progress. One of the problems in the recruitment of new employees is the problem of subjectivity in the decision for the determination of a new employee candidates. The research objective is to facilitate decision-making on issues related to making decision of new employees recruitment. Processing of data on research using Weighted Product methods with the concept of multiplication to connect rating attributes which should be raised to advance with the relevant weights. The criteria used in the research of new employees recruitment taken in general that is flexible in the sense that can be added or the opposite of education, GPA, work experience, interview and test basic skills. Results of the research is a decision support system application web-based recruitment of new employees who provide information to the last of the top-ranked candidate new employees as consideration for taking the right decision and is expected to simplify the process of decision the best.en_US
dc.language.isoen_USen_US
dc.publisherIEEE / Universitas Diponegoroen_US
dc.relation.ispartofseriesInternational Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE);-
dc.subjectdecision support systems; new employee recruitment; weighted producten_US
dc.titleDecision Support System For New Employee Recruitment Using Weighted Product Methoden_US
dc.typeArticleen_US
Appears in Collections:P - Computer Sciences and Information Technology

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