DECISION SUPPORT SYSTEM FOR NEW EMPLOYEE PLACEMENT ON AN OFFICE DEPARTMENT BY USING SAW FUZZY (CASE STUDY: CV.KENCANA ABADI)

INDAH SRI RAHAYU, SYARIFUL ALIM, RIFKI FAHRIAL ZAINAL

Abstract


CV. KENCANA ABADI is a company engage for sale Castrol Oil in which there are several departments of HRD,
accounting, finance & tax (tax), lubricant general manager and IT. During this time to determine the placement of
new employees to the appropriate department still using the manual system. So needed a system needs that can be a
decision support system for placement of new employees to appropriate departments that help the HRD and GA in
order to decide the right position placement for new employees. The model used in this decision support system is
Fuzzy Multiple Attribute Decision Making (FMADM). This SAW method is chosen because it determines the weight
value for each attribute, followed by a ranking process that will select the best alternative from a number of
alternatives. Based on the results of testing HRD departments are eligible received Fajar Ferdhina, the test results
of the Finance department, Accounting, Tax Budi Setyawan eligible, the results of testing IT departments eligible
Gatot Nugroho, and the results of testing department Lubrican General Manager eligible Imelda Oktavia F.
Keywords: Fuzzy Multiple Attribute Decision Making (FMADM), SAW.


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